From 2a08df034a8313520d3f164e89ad1bec792b399d Mon Sep 17 00:00:00 2001 From: extreme-assistant Date: Tue, 16 Jul 2019 22:09:13 +0800 Subject: [PATCH] add github links of cvpr2018 papers --- cvpr2018-githublinks.csv | 981 +++++++++++++++++ cvpr_2019_githublinks.csv | 2082 ++++++++++++++++++------------------- 2 files changed, 2022 insertions(+), 1041 deletions(-) create mode 100755 cvpr2018-githublinks.csv diff --git a/cvpr2018-githublinks.csv b/cvpr2018-githublinks.csv new file mode 100755 index 0000000..a1fc9be --- /dev/null +++ b/cvpr2018-githublinks.csv @@ -0,0 +1,981 @@ +Paper ID,Type,Title,github,Author(s) +974,Spotlight,Weakly Supervised Instance Segmentation using Class Peak Response,https://github.com/ZhouYanzhao/PRM,"Yanzhao Zhou, UCAS, China; Yi Zhu, UCAS; Qixiang Ye, ; Qiang Qiu, ; Jianbin Jiao," +801,Spotlight,Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination,https://github.com/zhirongw/lemniscate.pytorch,"Zhirong Wu, UC Berkeley; Yuanjun Xiong, Amazon ; Stella Yu, UC Berkeley / ICSI; Dahua Lin, CUHK" +2603,Spotlight,Cascade R-CNN: Delving into High Quality Object Detection,https://github.com/zhaoweicai/cascade-rcnn,"Zhaowei Cai, UC San Diego; Nuno Vasconcelos, UCSD, USA" +3662,Oral,StarGAN: Unified Generative Adversarial Networks for Controllable Multi-Domain Image-to-Image Translation,https://github.com/yunjey/StarGAN,"Jaegul Choo, Korea University; Jung-Woo Ha, NAVER Corp; Munyoung Kim, The College of New Jersey; Yunjey Choi, Korea University; Minje Choi, Korea University; Sunghun Kim, HKUST" +847,Poster,End-to-End Deep Kronecker-Product Matching for Person Re-identification,https://github.com/YantaoShen/kpm_rw_person_reid,"Yantao Shen, CUHK; Tong Xiao, The Chinese University of HK; Hongsheng Li, ; Shuai Yi, The Chinese University of Hong Kong; Xiaogang Wang, Chinese University of Hong Kong" +874,Poster,Deep Group-shuffling Random Walk for Person Re-identification,https://github.com/YantaoShen/kpm_rw_person_reid,"Yantao Shen, CUHK; Hongsheng Li, ; Tong Xiao, The Chinese University of HK; Shuai Yi, The Chinese University of Hong Kong; Dapeng Chen, CUHK; Xiaogang Wang, Chinese University of Hong Kong" +1330,Poster,Look at Boundary: A Boundary-Aware Face Alignment Algorithm,https://github.com/wywu/LAB,"Wayne Wu, SenseTime; Chen Qian, SenseTime; Shuo Yang, ; Quan Wang, SenseTime" +3524,Spotlight,Rethinking Feature Distribution for Loss Functions in Image Classification,https://github.com/WeitaoVan/L-GM-loss,"Weitao Wan, Tsinghua University; Yuanyi Zhong, UIUC; Tianpeng Li, Tsinghua University; Jiansheng Chen, Tsinghua University" +1532,Oral,Detail-Preserving Pooling in Deep Networks,https://github.com/visinf/dpp,"Faraz Saeedan, TU Darmstadt; Nicolas Weber, ; Michael Goesele, TU Darmstadt; Stefan Roth," +136,Spotlight,LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation,https://github.com/twhui/LiteFlowNet,"Tak-Wai Hui, The Chinese University of Hong Kong; Chen-Change Loy, the Chinese University of Hong Kong; Xiaoou Tang, Chinese University of Hong Kong" +429,Poster,Future Frame Prediction for Anomaly Detection  A New Baseline,https://github.com/StevenLiuWen/ano_pred_cvpr2018,"Wen Liu, ShanghaiTech University; Weixin Luo, Shanghaitech University; Dongze Lian, ShanghaiTech University; Shenghua Gao, ShanghaiTech University" +744,Oral,Taskonomy: Disentangling Task Transfer Learning,https://github.com/StanfordVL/taskonomy,"Alexander Sax, Stanford University; William Shen, ; Amir Zamir, Stanford, UC Berkeley; Jitendra Malik, ; Silvio Savarese, ; Leonidas J. Guibas," +2541,Poster,Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing,https://github.com/speedinghzl/DSRG,"Zilong Huang, HUST; Xinggang Wang, ; Jiasi Wang, HUST; Wenyu Liu, ; Jingdong Wang, Microsoft Research" +2951,Spotlight,High Performance Visual Tracking with Siamese Region Proposal Network,https://github.com/songdejia/Siamese-RPN-pytorch,"Bo Li, SenseTime ; Wei Wu, ; Zheng Zhu, Institute of Automation, CAS; Junjie Yan," +2312,Poster,Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition,https://github.com/songdejia/DFL-CNN,"Yaming Wang, University of Maryland; Vlad Morariu, University of Maryland; Larry Davis, University of Maryland, USA" +948,Poster,Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,https://github.com/Simon4Yan/Learning-via-Translation,"Weijian Deng, University of Chinese Academy; Liang Zheng, University of Texas at San Ant; GUOLIANG KANG, UTS; Yi Yang, ; Qixiang Ye, ; Jianbin Jiao," +5,Poster,Single-Shot Refinement Neural Network for Object Detection,https://github.com/sfzhang15/RefineDet,"Shifeng Zhang, CBSR, NLPR, CASIA; Longyin Wen, GE Global Research Center; Xiao Bian, ; Zhen Lei, Chinese Academy of Sciences ; Stan Li," +1520,Spotlight,Attentive Generative Adversarial Network for Raindrop Removal from A Single Image,https://github.com/rui1996/DeRaindrop,"Rui Qian, Peking University; Robby Tan, Yale-NUS College Also, Electrical and Computer Engineering, NUS; Wenhan Yang, Peking University; Jiajun Su, Peking University; Jiaying Liu, Peking University" +1163,Oral,Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering,https://github.com/peteanderson80/bottom-up-attention,"Peter Anderson, Australian National University; Xiaodong He, ; Chris Buehler, ; Damien Teney, Unversity of Adelaide; Mark Johnson, Macquarie University; Stephen Gould, Australian National University; Lei Zhang, Microsoft" +326,Oral,SPLATNet: Sparse Lattice Networks for Point Cloud Processing,https://github.com/NVlabs/splatnet,"Hang Su, University of Massachusetts, Amherst; Varun Jampani, NVIDIA Research; Deqing Sun, NVIDIA; Evangelos Kalogerakis, UMass; Subhransu Maji, ; Ming-Hsuan Yang, UC Merced; Jan Kautz, NVIDIA" +266,Oral,"PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume",https://github.com/NVlabs/PWC-Net,"Deqing Sun, NVIDIA; Xiaodong Yang, NVIDIA; Ming-Yu Liu, NVIDIA; Jan Kautz, NVIDIA" +168,Spotlight,MapNet: Geometry-Aware Learning of Maps for Camera Localization,https://github.com/NVlabs/geomapnet,"Samarth Brahmbhatt, Georgia Tech; Jinwei Gu, NVIDIA; Kihwan Kim, NVIDIA Research; James Hays, Georgia Tech; Jan Kautz, NVIDIA" +768,Oral,High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs,https://github.com/NVIDIA/pix2pixHD,"Ting-Chun Wang, NVIDIA; Ming-Yu Liu, NVIDIA; Jun-Yan Zhu, UC Berkeley; Andrew Tao, NVIDIA; Bryan Catanzaro, NVIDIA; Jan Kautz, NVIDIA" +1164,Poster,Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation,https://github.com/naoto0804/cross-domain-detection,"Naoto Inoue, The University of Tokyo; Ryosuke Furuta, The University of Tokyo; Toshihiko Yamasaki, The University of Tokyo; Kiyoharu Aizawa," +2496,Spotlight,Mesoscopic Facial Geometry inference Using Deep Neural Networks,https://github.com/msracver/Relation-Networks-for-Object-Detection,"Loc Huynh, USC ICT; Weikai Chen, USC ICT; Shunsuke Saito, ; Jun Xing, ICT; Koki Nagano, Pinscreen, Inc; Andrew Jones, USC ICT; Paul Debevec, USC ICT; Hao Li," +2548,Poster,V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map,https://github.com/mks0601/V2V-PoseNet_RELEASE,"Gyeongsik Moon, Seoul National University; Ju Yong Chang, Kwangwoon University; Kyoung Mu Lee," +2201,Poster,SO-Net: Self-Organizing Network for Point Cloud Analysis,https://github.com/lijx10/SO-Net,"Jiaxin Li, National University of Singapore; Ben Chen, National Univ of Singapore; Gim Hee Lee, National University of SIngapore" +2650,Oral,Wasserstein Introspective Neural Networks,https://github.com/kjunelee/WINN,"Kwonjoon Lee, UC San Diego; Weijian Xu, UC San Diego; Fan Fan, UC San Diego; Zhuowen Tu, UCSD, USA" +2672,Spotlight,Person Transfer GAN to Bridge Domain Gap for Person Re-Identification,https://github.com/JoinWei-PKU/PTGAN,"Longhui Wei, Peking University; Shiliang Zhang, Peking University; Wen Gao, ; Qi Tian," +420,Poster,Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation,https://github.com/jiwoon-ahn/psa,"Jiwoon Ahn, DGIST; Suha Kwak, POSTECH" +2959,Poster,Pyramid Stereo Matching Network,https://github.com/JiaRenChang/PSMNet,"Jia-Ren Chang, National Chiao Tung University; Yong-Sheng Chen, National Chiao Tung University" +1699,Poster,FOTS: Fast Oriented Text Spotting with a Unified Network,https://github.com/jiangxiluning/FOTS.PyTorch,"Xuebo Liu, SenseTime Group Ltd.; Ding Liang, Sensetime; Shi Yan, SenseTime; Dagui Chen, SenseTime; Yu Qiao, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Junjie Yan," +475,Poster,Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization,https://github.com/jiangtaoxie/fast-MPN-COV,"Peihua Li, ; Jiangtao Xie, ; Qilong Wang, ; Zilin Gao, Dalian University of Technology" +1724,Oral,Convolutional Neural Networks with Alternately Updated Clique,https://github.com/iboing/CliqueNet,"Yibo Yang, Peking Univ.; Zhisheng Zhong, ; Tiancheng Shen, ; Zhouchen Lin, Peking University, China" +1287,Oral,Squeeze-and-Excitation Networks,https://github.com/hujie-frank/SENet,"Jie Hu, Momenta; Li Shen, University of Oxford; Gang Sun, Momenta" +48,Poster,Density-aware Single Image De-raining using a Multi-stream Dense Network,https://github.com/hezhangsprinter/DID-MDN,"He Zhang, Rutgers; Vishal Patel," +49,Poster,Densely Connected Pyramid Dehazing Network,https://github.com/hezhangsprinter/DCPDN,"He Zhang, Rutgers; Vishal Patel," +3409,Poster,Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++,https://github.com/fidler-lab/polyrnn-pp-pytorch,"David Acuna, University of Toronto; Huan Ling, UofT; Amlan Kar, University of Toronto; Sanja Fidler," +1645,Poster,LiDAR-Video Driving Dataset: Learning Driving Policies Effectively,https://github.com/driving-behavior/DBNet,"Yiping Chen, Xiamen University; Jingkang Wang, Shanghai Jiao Tong University; Cewu Lu, Shanghai Jiao Tong University; Zhipeng Luo, Xiamen University; Jonathan Li, University of Waterloo; Han Xue, Shanghai Jiao Tong University; Cheng Wang, Xiamen University" +431,Poster,Learning to Compare: Relation Network for Few-Shot Learning,https://github.com/dragen1860/LearningToCompare-Pytorch,"Flood Sung, Independent Researcher; Yongxin Yang, Queen Mary University of London; Li Zhang, Queen Mary University of London; Tao Xiang, Queen Mary University of London; Phil Torr, Oxford; Timothy Hospedales, University of Edinburgh" +458,Spotlight,Iterative Visual Reasoning Beyond Convolutions,https://github.com/coderSkyChen/Iterative-Visual-Reasoning.pytorch,"Xinlei Chen, Facebook; Li-jia Li, Google Inc; Fei-Fei Li, Google Inc.; Abhinav Gupta," +2114,Poster,Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships,https://github.com/choasup/SIN,"Yong Liu, ICT; Ruiping Wang, Institute of Computing Technology, Chinese Academy of Sciences; Shiguang Shan, Chinese Academy of Sciences; Xilin Chen," +1584,Spotlight,PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image,https://github.com/art-programmer/PlaneNet,"Chen Liu, WUSTL; Jimei Yang, ; Duygu Ceylan, ; Ersin Yumer, Argo AI; Yasutaka Furukawa," +3606,Poster,Deep Back-Projection Networks For Super-Resolution,https://github.com/alterzero/DBPN-Pytorch,"Muhammad Haris, Toyota Technological Institute; Greg Shakhnarovich, ; Norimichi Ukita, NAIST" +1328,Spotlight,Tell Me Where To Look: Guided Attention Inference Network,https://github.com/alokwhitewolf/Guided-Attention-Inference-Network,"Kunpeng Li, Northeastern University; Ziyan Wu, Siemens Corporation; Kuan-Chuan Peng, Siemens Corporation; Jan Ernst, Siemens Corporation; Yun Fu, Northeastern University" +779,Poster,Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns,https://github.com/ahangchen/Tfusion,"Jianming Lv, South China University of Technology; Weihang Chen, South China University of Technology; Qing Li, City University of Hong Kong; Can Yang, South China University of Technology" +12,Oral,DensePose: Multi-Person Dense Human Pose Estimation In The Wild,,"Alp Guler, INRIA; Natalia Neverova, Facebook AI Research; Iasonas Kokkinos, FAIR/UCL" +27,Spotlight,Shape from Shading through Shape Evolution,,"Dawei Yang, University of Michigan; Jia Deng," +37,Spotlight,End-to-End Dense Video Captioning with Masked Transformer,,"Luowei Zhou, University of Michigan; Yingbo Zhou, Salesforce; Jason Corso, ; Richard Socher, Meta-Mind; Caiming Xiong, Salesforce" +53,Spotlight,TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays,,"Xiaosong Wang, NIH; Yifan Peng, NIH NLM; Le Lu, Nvidia Corp; Zhiyong Lu, ; Ronald Summers," +76,Oral,Context Encoding for Semantic Segmentation,,"Hang Zhang, Rutgers University; Kristin Dana, ; Jianping Shi, SenseTime; Zhongyue Zhang, Amazon; Xiaogang Wang, Chinese University of Hong Kong; Ambrish Tyagi, Amazon; Amit Agrawal, Amazon" +103,Spotlight,"Real-World Repetition Estimation by Div, Grad and Curl",,"Tom Runia, University of Amsterdam; Cees Snoek, University of Amsterdam; Arnold Smeulders, University of Amsterdam, Netherlands" +110,Spotlight,Learning Intrinsic Image Decomposition from Watching the World,,"Zhengqi Li, Cornell University; Noah Snavely, Cornell University / Google" +128,Oral,Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation,,"Seungryul Baek, Imperial College London; Kwang In Kim, University of Bath; Tae-Kyun Kim, Imperial College London" +142,Spotlight,Multi-view Harmonized Bilinear Network for 3D Object Recognition,,"Tan Yu, Nanyang Technological Univ; Jingjing Meng, ; Junsong Yuan, Nanyang Technological University" +144,Spotlight,Tangent Convolutions for Dense Prediction in 3D,,"Maxim Tatarchenko, Freiburg; Jaesik Park, Intel Labs; Qian-Yi Zhou, ABQ Technologies; Vladlen Koltun, Intel Labs" +145,Oral,Semi-parametric Image Synthesis,,"Xiaojuan Qi, CUHK; Qifeng Chen, Intel Labs; Jiaya Jia, Chinese University of Hong Kong; Vladlen Koltun, Intel Labs" +155,Spotlight,3D Hand Pose Estimation: From Current Achievements to Future Goals,,"Shanxin Yuan, Imperial College London; Guillermo Garcia-Hernando, Imperial College London; Bjorn Stenger, ; Tae-Kyun Kim, Imperial College London; Gyeongsik Moon, Seoul National University; Ju Yong Chang, Kwangwoon University; Kyoung Mu Lee, ; Pavlo Molchanov, NVIDIA Research; Liuhao Ge, NTU; Junsong Yuan, Nanyang Technological University; Xinghao Chen, Tsinghua University; Guijin Wang, Tsinghua University; Fan Yang, Nara institute of science and technology; Kai Akiyama, Nara Institute of Science and Technology; Yang Wu, Nara Institute of Science and Technology; Qingfu Wan, Fudan University; Meysam Madadi, Autonomus University of Barcelona and Computer Vision Center, Barcelona, Spain; Sergio Escalera, University of Barcelona; Shile Li, Technical University of Munich; Dongheui Lee, Technical University of Munich; Iason Oikonomidis, FORTH; Antonis Argyros, FORTH" +167,Spotlight,BlockDrop: Dynamic Inference Paths in Residual Networks,,"Zuxuan Wu, University of Maryland; Tushar Nagarajan, University of Texas at Austin; Abhishek Kumar, ; Steven Rennie, ; Larry Davis, University of Maryland, USA; Kristen Grauman, ; Rogerio Feris, IBM" +181,Oral,Practical Block-wise Neural Network Architecture Generation,,"Zhao Zhong, Institute of Automation,CAS; Junjie Yan, ; Wei Wu, ; Jing Shao, The Sensetime Group Limited; cheng-lin Liu," +185,Oral,Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning,,"Qi Wu, University of Adelaide; Peng Wang, ; Chunhua Shen, University of Adelaide; Ian Reid, ; Anton Van den Hengel, University of Adelaide" +203,Spotlight,Nonlinear 3D Face Morphable Model,,"LUAN TRAN, Michigan State University; Xiaoming Liu, Michigan State University" +205,Spotlight,Neural Baby Talk,,"Jiasen Lu, Georgia Institute of Technology; Jianwei Yang, Georgia Tech; Dhruv Batra, Georgia Tech; Devi Parikh, Georgia Tech" +242,Spotlight,Few-Shot Image Recognition by Predicting Parameters from Activations,,"Siyuan Qiao, Johns Hopkins University; Chenxi Liu, JHU; Wei Shen, Shanghai University; Alan Yuille," +270,Oral,Illuminant Spectra-based Source Separation Using Flash Photography,,"Zhuo Hui, Carnegie Mellon University; Kalyan Sunkavalli, Adobe Systems Inc.; Sunil Hadap, ; Aswin Sankaranarayanan, Carnegie Mellon University" +281,Spotlight,Tracking Multiple Objects Outside the Line of Sight using Speckle Imaging,,"Brandon Smith, University of Wisconsin-Madiso; Matthew O'Toole, Stanford University; Mohit Gupta, Wisconsin" +298,Spotlight,Audio to Body Dynamics,,"Eli Shlizerman, Facebook; Lucio Dery, Stanford; Hayden Schoen, Facebook; Ira Kemelmacher," +325,Spotlight,Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation,,"Huaizu Jiang, UMass Amherst; Deqing Sun, NVIDIA; Varun Jampani, NVIDIA Research; Ming-Hsuan Yang, UC Merced; Erik Miller, ; Jan Kautz, NVIDIA" +350,Spotlight,Deep Adversarial Metric Learning,,"Yueqi Duan, Tsinghua University; Wenzhao Zheng, Tsinghua University; Xudong Lin, Tsinghua University; Jiwen Lu, Tsinghua University; Jie Zhou," +369,Oral,"Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies",,"Hanbyul Joo, CMU; Tomas Simon, Oculus Research; Yaser Sheikh," +374,Spotlight,Consensus Maximization for Semantic Region Correspondences,,"Pablo Speciale, ETH; Danda Paudel, ; Martin Oswald, ETH Zurich; Hayko Riemenschneider, Computer Vision Lab, ETH Zurich; Luc Van Gool, KTH; Marc Pollefeys, ETH" +405,Spotlight,"Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models",,"Jiuxiang Gu, Nanyang Technological Universi; Jianfei Cai, ; Joty Shafiq Rayhan, ; Li Niu, Rice University; Gang Wang," +406,Spotlight,VITON: An Image-based Virtual Try-on Network,,"Xintong Han, University of Maryland; Zuxuan Wu, University of Maryland; Zhe Wu, University of Maryland; Ruichi Yu, ; Larry Davis, University of Maryland, USA" +423,Spotlight,Fast and Accurate Online Video Object Segmentation via Tracking Parts,,"Jingchun Cheng, Tsinghua University; Yi-Hsuan Tsai, NEC Labs America; Wei-Chih Hung, University of California, Merced; Shengjin Wang, ; Ming-Hsuan Yang, UC Merced" +435,Oral,Deep Layer Aggregation,,"Fisher Yu, UC Berkeley; Dequan Wang, UC Berkeley; Evan Shelhamer, UC Berkeley; Trevor Darrell, UC Berkeley, USA" +442,Spotlight,M3: Multimodal Memory Modelling for Video Captioning,,"Junbo Wang, Institute of Automation, Chine; Wei Wang, ; Yan Huang, ; Liang Wang, unknown; Tieniu Tan, NLPR China" +465,Spotlight,Textbook Question Answering under Teacher Guidance with Memory Networks,,"Juzheng Li, Tsinghua University; Hang Su, Tsinghua University; Jun Zhu, Tsinghua University; Siyu Wang, ; Bo Zhang," +471,Spotlight,Functional Map of the World,,"Gordon Christie, JHU/APL; Neil Fendley, JHU/APL; James Wilson, DigitalGlobe; Ryan Mukherjee, JHU/APL" +483,Oral,Left-Right Comparative Recurrent Model for Stereo Matching,,"Zequn Jie, ; Pengfei Wang, NUS; Yonggen Ling, Tencent; Bo Zhao, ; Jiashi Feng, ; Wei Liu," +487,Oral,Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input,,"Adel Bibi, KAUST; Modar Alfadly, King Abdullah University of Science and Technology; Bernard Ghanem," +488,Spotlight,Zero-Shot Sketch-Image Hashing,,"Yuming Shen, University of East Anglia; Li Liu, University of East Anglia; Fumin Shen, ; Ling Shao, University of East Anglia" +490,Spotlight,Interpretable Convolutional Neural Networks,,"Quanshi Zhang, UCLA; Yingnian Wu, ; Song-Chun Zhu," +500,Spotlight,Generating Synthetic X-ray Images of a Person from the Surface Geometry,,"Brian Teixeira, Siemens Healthineers; Vivek Singh, Siemens Healthineers; Kai Ma, Siemens Healthineers; Birgi Tamersoy, Siemens Healthineers; Terrence Chen, Siemens Healthineers; Yifan Wu, Temple University ; Elena Balashova, Princeton University; Dorin Comaniciu, Siemens Healthineers" +533,Spotlight,Recurrent Pixel Embedding for Instance Grouping,,"Shu Kong, University of California, Irvine; Charless Fowlkes, University of California, Irvine, USA" +552,Oral,An Analysis of Scale Invariance in Object Detection - SNIP,,"Bharat Singh, ; Larry Davis, University of Maryland, USA" +565,Oral,Finding Tiny Faces in the Wild with Generative Adversarial Network,,"Yancheng Bai, Kaust/Iscas; Yongqiang Zhang, Harbin institute of Technology/KAUST; Mingli Ding, ; Bernard Ghanem," +567,Spotlight,SSNet: Scale Selection Network for Online 3D Action Prediction,,"Jun Liu, Nanyang Technological University; Amir Shahroudy, NTU Singapore; Gang Wang, ; Ling-Yu Duan, ; Alex Kot," +568,Spotlight,Integrated facial landmark localization and super-resolution of real-world very low resolution faces in arbitrary poses with GANs,,"Adrian Bulat, ; Georgios Tzimiropoulos," +581,Spotlight,Deep Cross-media Knowledge Transfer,,"Xin Huang, Peking University; Yuxin Peng, Peking University" +601,Spotlight,NISP: Pruning Networks using Neuron Importance Score Propagation,,"Ruichi Yu, ; Ang Li, Google DeepMind; Chun-Fu (Richard) Chen, IBM T.J. Watson Research Cente; Jui-Hsin Lai, ; Vlad Morariu, University of Maryland; Xintong Han, University of Maryland; Mingfei Gao, University of Maryland; Ching-Yung Lin, ; Larry Davis, University of Maryland, USA" +630,Spotlight,Learning a Toolchain for Image Restoration,,"Ke Yu, CUHK; Chao Dong, Sensetime Co. Ltd ; Chen-Change Loy, the Chinese University of Hong Kong" +668,Spotlight,Fine-grained Video Captioning for Sports Narrative,,"Huanyu Yu, Shanghai Jiao Tong University; Shuo Cheng, SJTU; Bingbing Ni, ; Minsi Wang, Shanghai Jiao Tong University; Zhang Jian, Shanghai Jiao Tong University; Xiaokang Yang," +687,Spotlight,Hand PointNet: 3D Hand Pose Estimation using Point Sets,,"Liuhao Ge, NTU; Junwu Weng, Nanyang Technological Univ.; Yujun Cai, NTU; Junsong Yuan, Nanyang Technological University" +732,Spotlight,Visual Question Reasoning on General Dependency Tree,,"Qingxing Cao, Sun Yat-Sen University; Xiaodan Liang, Carnegie Mellon University; Bailin Li, SUN-YAT SEN UNIVERSITY; Liang Lin," +736,Spotlight,GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB,,"Franziska Mueller, MPI Informatics; Florian Bernard, MPI Informatics; Oleksandr Sotnychenko, MPI Informatics; Dushyant Mehta, MPI For Informatics; Srinath Sridhar, ; Dan Casas, MPI; Christian Theobalt, MPI Informatics" +747,Spotlight,Embodied Real-World Active Perception,,"Fei Xia, Stanford University; Amir Zamir, Stanford, UC Berkeley; Zhi-Yang He, Stanford University; Alexander Sax, Stanford University; Jitendra Malik, ; Silvio Savarese," +754,Spotlight,"SfSNet : Learning Shape, Reflectance and Illuminance of Faces `in the wild'",,"Soumyadip Sengupta, University of Maryland; Angjoo Kanazawa, University of Maryland; Carlos Castillo, ; David Jacobs, University of Maryland" +765,Spotlight,What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets,,"De-An Huang, Stanford University; Vignesh Ramanathan, Facebook; Dhruv Mahajan, ; Juan Carlos Niebles, Stanford University; Fei-Fei Li, Stanford University; Lorenzo Torresani, Darthmout College, USA; Manohar Paluri," +777,Spotlight,Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference,,"Benoit Jacob, Google; Skirmantas Kligys, Google; Bo Chen, Google; Matthew Tang, Google; Menglong Zhu, ; Andrew Howard, Google; Dmitry Kalenichenko, Google; Hartwig Adam, Google" +778,Oral,"Finding It"": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Video""",,"De-An Huang, Stanford University; Shyamal Buch, Stanford University; Lucio Dery, Stanford University; Animesh Garg, Stanford University; Fei-Fei Li, Stanford University; Juan Carlos Niebles, Stanford University" +809,Spotlight,CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization,,"Sixing Hu, NUS; Mengdan Feng, NUS; Rang Nguyen, National Uni. of Singapore; Gim Hee Lee, National University of SIngapore" +811,Spotlight,Visual Question Generation as Dual Task of Visual Question Answering,,"Yikang Li, ; Nan Duan, Microsoft; Bolei Zhou, Massachuate Institute of Technology; Xiao Chu, Baidu; Wanli Ouyang, The University of Sydney; Xiaogang Wang, Chinese University of Hong Kong" +812,Spotlight,Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation,,"Yunchao Wei, ; Huaxin Xiao, ; Honghui Shi, UIUC; Zequn Jie, ; Jiashi Feng, ; Thomas Huang," +836,Spotlight,MegDet: A Large Mini-Batch Object Detector,,"Chao Peng, Megvii; Tete Xiao, Peking University; Zeming Li, Tsinghua University, Megvii; Yuning Jiang, Megvii inc.; Xiangyu Zhang, Megvii Inc; Kai Jia, Mevii; Gang Yu, Face++; Jian Sun," +844,Spotlight,TOM-Net: Learning Transparent Object Matting from a Single Image,,"Guanying Chen, The University of Hong Kong; Kai Han, ; Kwan-Yee Kenneth Wong, The University of Hong Kong" +853,Spotlight,Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions,,"Torsten Sattler, ETH Zurich; Will Maddern, University of Oxford; Carl Toft, Chalmers University ; Akihiko Torii, Tokyo Institute of Technology; Lars Hammarstrand, Chalmers university of technol; Erik Stenborg, Chalmers University of Tech.; Daniel Safari, DTU; Marc Pollefeys, ETH; Josef Sivic, ; Fredrik Kahl, Chalmers; Tomas Pajdla," +878,Spotlight,Learning to Detect Features in Texture Images,,"Linguang Zhang, Princeton University; Szymon Rusinkiewicz, Princeton University" +906,Spotlight,Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images,,"Hao Zhou, UMD; Jin Sun, University of Maryland; Yaser Yacoob, Univ of Maryland; David Jacobs, University of Maryland" +909,Spotlight,Unsupervised Deep Generative Adversarial Hashing Network,,"Kamran Ghasedi Dizaji, University of Pittsburgh; Feng Zheng, University of Pittsburgh; Najmeh Sadoughi, University of Texas at Dallas; Heng Huang, University of Pittsburgh" +914,Spotlight,LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH),,"Pelin Dogan, ETH Zurich; Albert Li, Disney Research; Leonid Sigal, University of British Columbia; Markus Gross," +932,Oral,Unsupervised Discovery of Object Landmarks as Structural Representations,,"Yuting Zhang, University of Michigan; Yijie Guo, University of Michigan; Yixin Jin, ; Yijun Luo, University of Michigan; Zhiyuan He, University of Michigan; Honglak Lee, University of Michigan, USA" +967,Spotlight,SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation,,"Weiyue Wang, USC; Ronald Yu, ; Qiangui Huang, U of Southern CA; Ulrich Neumann, USC" +984,Oral,Rotation Averaging and Strong Duality,,"Anders Eriksson, ; Fredrik Kahl, Chalmers; Carl Olsson, Lund University; Tat-Jun Chin," +999,Oral,Im2Flow: Motion Hallucination from Static Images for Action Recognition,,"Ruohan Gao, University of Texas at Austin; Bo Xiong, UT-Austin; Kristen Grauman," +1018,Spotlight,PointGrid: A Deep Network for 3D Shape Understanding,,"Truc Le, University of Missouri - Columbia; Ye Duan, University of Missouri - Columbia" +1025,Spotlight,PPFNet: Global Context Aware Local Features for Robust 3D Point Matching,,"Haowen Deng, Technical University of Munich; Tolga Birdal, Technical University of Munich; Slobodan Ilic, Siemens AG" +1027,Spotlight,Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments,,"Peter Anderson, Australian National University; Qi Wu, University of Adelaide; Damien Teney, Unversity of Adelaide; Jake Bruce, ; Mark Johnson, Macquarie University; Niko S_derhauf, Queensland University of Technology; Ian Reid, ; Stephen Gould, Australian National University; Anton Van den Hengel, University of Adelaide" +1029,Spotlight,Fast Video Object Segmentation by Reference-Guided Mask Propagation,,"Seoung Wug Oh, Yonsei Univeristy; Joon-Young Lee, ; Kalyan Sunkavalli, Adobe Systems Inc.; Seon Joo Kim, Yonsei University" +1057,Oral,Group Consistent Similarity Learning via Deep CRFs for Person Re-Identification,,"Dapeng Chen, CUHK; Dan Xu, ; Hongsheng Li, ; Nicu Sebe, University of Trento, Italy; Xiaogang Wang, Chinese University of Hong Kong" +1063,Spotlight,AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions,,"Chunhui Gu, Google; Chen Sun, Google; David Ross, Google Research; Carl Vondrick, Google; Caroline Pantofaru, Google; Yeqng Li, Google Inc.; Sudheendra Vijayanarasimhan, Google Research; George Toderici, Google; Susanna Ricco, Google; Rahul Sukthankar, Google Research; Cordelia Schmid, INRIA Grenoble, France; Jitendra Malik," +1097,Spotlight,Pose-Guided Photorealistic Face Rotation,,"Yibo Hu, CRIPAC, CASIA; Xiang Wu, Institute of Automation, Chine; Bing Yu, ; Ran He, ; Zhenan Sun, CRIPAC" +1099,Spotlight,Automatic 3D Indoor Scene Modeling from Single Panorama,,"Yang Yang, University of Delaware; Shi Jin, ShanghaiTech University; Ruiyang Liu, ; Sing Bing Kang, Microsoft Research; Jingyi Yu, University of Delaware, USA" +1101,Spotlight,SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-rigid Motion,,"Miroslava Slavcheva, Siemens AG; Maximilian Baust, TUM; Slobodan Ilic, Siemens AG" +1128,Oral,3D-RCNN: Instance-level 3D Scene Understanding via Render-and-Compare,,"Abhijit Kundu, Georgia Institute of Technology; Yin Li, Georgia Tech; James Rehg, Georgia Institute of Technology" +1129,Spotlight,FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds,,"Yaoqing Yang, Carnegie Mellon University; Chen Feng, MERL; Yiru Shen, Clemson University; Dong Tian, Mitsubishi Electric Research Laboratories" +1139,Spotlight,Unsupervised Textual Grounding: Linking Words to Image Concepts,,"Raymond Yeh, UIUC; Minh Do, University of Illinois at Urbana-Champaign; Alex Schwing," +1193,Spotlight,Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks,,"Jiawei Zhang, City University of Hong Kong; Jinshan Pan, UC Merced; Jimmy Ren, SenseTime Group Limited; Yibing Song, Tencent AI Lab; Linchao Bao, Tencent AI Lab; Rynson Lau, City University of Hong Kong; Ming-Hsuan Yang, UC Merced" +1202,Spotlight,Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective,,"Jing Zhang, ; Tong Zhang, Australian National University; Yuchao Dai, Australian National University; Mehrtash Harandi, Australian National University; Richard Hartley, Australian National University Australia" +1203,Spotlight,NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning,,"Alexander Richard, University of Bonn; Hilde Kuehne, University of Bonn; Ahsan Iqbal, University of Bonn; Juergen Gall, University of Bonn, Germany" +1209,Spotlight,Detecting and Recognizing Human-Object Interactions,,"Georgia Gkioxari, Facebook; Ross Girshick, ; Kaiming He, ; Piotr Dollar, Facebook AI Research, Menlo Park, USA" +1240,Spotlight,Answer with Grounding Snippets: Focal Visual-Text Attention for Visual Question Answering,,"Junwei Liang, Carnegie Mellon University; Lu Jiang, ; Liangliang Cao, ; Alexander Hauptmann," +1249,Spotlight,Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF,,"Linchao Bao, Tencent AI Lab; Baoyuan Wu, Tencent AI Lab; Wei Liu," +1255,Spotlight,Interleaved Structured Sparse Convolutional Neural Networks,,"Guotian Xie, Sun Yat-Sen University; Ting Zhang, Microsoft Research Asia; Jianhuang Lai, Sun Yat-sen University; Jingdong Wang, Microsoft Research" +1276,Oral,Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation,,"Henghui Ding, Nanyang Technological University; Xudong Jiang, Nanyang Technological University; Bing Shuai, ; Ai Qun Liu, Nanyang Technological University; Gang Wang," +1280,Spotlight,VITAL: VIsual Tracking via Adversarial Learning,,"Yibing Song, Tencent AI Lab; Chao Ma, ; Xiaohe Wu, Harbin Institute of technology; Lijun Gong, City University of Hong Kong; Linchao Bao, Tencent AI Lab; Wangmeng Zuo, Harbin Institute of Technology; Chunhua Shen, University of Adelaide; Rynson Lau, City University of Hong Kong; Ming-Hsuan Yang, UC Merced" +1284,Spotlight,Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints,,"Alexander Richard, University of Bonn; Hilde Kuehne, University of Bonn; Juergen Gall, University of Bonn, Germany" +1289,Spotlight,Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning,,"Jingwen Wang, SCUT; Wenhao Jiang, Tencent AI Lab; Lin Ma, Tencent AI Lab; Wei Liu, ; Yong Xu, South China University of Technology" +1317,Spotlight,Low-Latency Video Semantic Segmentation,,"Yule Li, Ict; Jianping Shi, SenseTime; Dahua Lin, CUHK" +1321,Oral,DoubleFusion: Real-time Capture of Human Performance with Inner Body Shape from a Single Depth Sensor,,"Tao Yu, Beihang University; Zerong Zheng, Tsinghua University; Kaiwen Guo, Google; Jianhui Zhao, Beihang University; Qionghai Dai, ; Hao Li, ; Gerard Pons-Moll, Max Planck for Informatics; Yebin Liu, Tsinghua University" +1324,Spotlight,Lean Multiclass Crowdsourcing,,"Grant van Horn, California Institute of Technology; Pietro Perona, California Institute of Technology, USA; Serge Belongie," +1329,Spotlight,Residual Dense Network for Image Super-Resolution,,"Yulun Zhang, Northeastern University; Yapeng Tian, University of rochester; Yu Kong, Northeastern University; Bineng Zhong, Huaqiao University; Yun Fu, Northeastern University" +1349,Spotlight,Unsupervised Training for 3D Morphable Model Regression,,"Kyle Genova, Princeton University; Forrester Cole, Google; Aaron Maschinot, Google; Daniel Vlasic, Google; Aaron Sarna, Google; William Freeman, Google" +1356,Spotlight,Low-shot Learning from Imaginary Data,,"Yu-Xiong Wang, Carnegie Mellon University; Ross Girshick, ; Martial Hebert, ; Bharath Hariharan, Cornell University" +1363,Spotlight,Partial Transfer Learning with Selective Adversarial Networks,,"Zhangjie Cao, Tsinghua University; Mingsheng Long, Tsinghua University; Jianmin Wang," +1410,Spotlight,Collaborative and Adversarial Network for Unsupervised domain adaptation,,"Weichen Zhang, The University of Sydney; Wanli Ouyang, The University of Sydney; Dong Xu, ; Wen Li, ETH" +1435,Spotlight,Learning to Adapt Structured Output Space for Semantic Segmentation,,"Yi-Hsuan Tsai, NEC Labs America; Wei-Chih Hung, University of California, Merced; Samuel Schulter, NEC Labs; Kihyuk Sohn, NEC Laboratories America; Ming-Hsuan Yang, UC Merced; Manmohan Chandraker, NEC Labs America" +1449,Spotlight,A Variational U-Net for Conditional Appearance and Shape Generation,,"Ekaterina Sutter, HCI, IWR,Heidelberg University; Patrick Esser, Heidelberg University; Bjorn Ommer, Heidelberg" +1453,Oral,Learning to Find Good Correspondences,,"Kwang Moo Yi, EPFL; Eduard Trulls, ; Yuki Ono, Sony; Vincent Lepetit, TU Graz; Mathieu Salzmann, EPFL; Pascal Fua," +1458,Oral,Actor and Action Video Segmentation from a Sentence,,"Kirill Gavrilyuk, University of Amsterdam; Amir Ghodrati, University of Amsterdam; zhenyang Li, University of Amsterdam; Cees Snoek, University of Amsterdam" +1470,Oral,Maximum Classifier Discrepancy for Unsupervised Domain Adaptation,,"Kuniaki Saito, The University of Tokyo; Kohei Watanabe, ; Yoshitaka Ushiku, ; Tatsuya Harada, University of Tokyo" +1535,Spotlight,Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation,,"Yen-Cheng Liu, National Taiwan University; Yu-Ying Yeh, National Taiwan University; Tzu-Chien Fu, Northwestern University; Wei-Chen Chiu, National Chiao Tung University; Sheng-De Wang, National Taiwan University; Yu-Chiang Frank Wang, Academia Sinica" +1561,Spotlight,SeGAN: Segmenting and Generating the Invisible,,"KIANA EHSANI, 1993; Roozbeh Mottaghi, Allen Institute for Artificial Intelligence; Ali Farhadi," +1567,Spotlight,Deep Photo Enhancer: Unsupervised Learning of Image Enhancement from Photographs with GANs,,"Yu-Sheng Chen, National Taiwan University; Yu-Ching Wang, National Taiwan University; Man-Hsin Kao, National Taiwan University; Yung-Yu Chuang, National Taiwan University" +1580,Spotlight,Context Embedding Networks,,"Kun ho Kim, Caltech; Oisin Mac Aodha, Caltech; Pietro Perona, California Institute of Technology, USA" +1589,Spotlight,Multi-Task Adversarial Network for Disentangled Feature Learning,,"Yang Liu, University of Cambridge; Zhaowen Wang, Adobe; Hailin Jin, ; Ian Wassell," +1593,Spotlight,Learning from Synthetic Data: Semantic Segmentation using Generative Adversarial Networks,,"Swami Sankaranarayanan, University of Maryland; Yogesh Balaji, University of Maryland; Arpit Jain, ; Ser-Nam Lim, GE Global Research; Rama Chellappa, University of Maryland, USA" +1594,Spotlight,Sketch-a-Classifier: Sketch-based Photo Classifier Generation,,"Conghui Hu, Queen Mary University of Londo; Da Li, ; Yi-Zhe Song, ; Tao Xiang, Queen Mary University of London; Timothy Hospedales, University of Edinburgh" +1597,Spotlight,VizWiz Grand Challenge: Answering Visual Questions from Blind People,,"Danna Gurari, University of Texas at Austin; Qing Li, USTC; Abigale Stangl, ; Anhong Guo, ; Chi Lin, ; Kristen Grauman, ; Jiebo Luo, University of Rochester; Jeffrey Bigham," +1621,Spotlight,Multistage Adversarial Losses for Pose-Based Human Image Synthesis,,"Chenyang Si, Institute of Automation, Chine; Wei Wang, ; Liang Wang, unknown; Tieniu Tan, NLPR China" +1643,Spotlight,Environment Upgrade Reinforcement Learning for Non-differentiable Multi-stage Pipelines,,"Shuqin Xie, SJTU; Cewu Lu, Shanghai Jiao Tong University; Zitian Chen, Fudan University; Chao Xu, Shanghai Jiao Tong University" +1644,Spotlight,Separating Style and Content for Generalized Style Transfer,,"Yexun Zhang, Shanghai Jiao Tong University; Ya Zhang, ; Wenbin Cai," +1676,Spotlight,Learning Spatial-Aware Regressions for Visual Tracking,,"Chong Sun, DalianUniversityofTechnology; Dong Wang, DUT; Huchuan Lu, Dalian University of Technology; Ming-Hsuan Yang, UC Merced" +1688,Spotlight,Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation,,"Pengyuan Lyu, Huazhong University of Science and Technology; Cong Yao, Huazhong University of Science and Technology; Wenhao Wu, Megvii; Shuicheng Yan, National University of Singapore; Xiang Bai, Huazhong University of Science and Technology" +1697,Spotlight,Optimal Structured Light a la Carte,,"Parsa Mirdehghan, University of Toronto; Wenzheng Chen, UofT; Kyros Kutulakos," +1719,Spotlight,RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials,,"Despoina Paschalidou, MPI Tuebingen; Carolin Schmitt, MPI Tuebingen; Osman Ulusoy, microsoft corporation; Luc Van Gool, KTH; Andreas Geiger, MPI Tuebingen / ETH Zuerich" +1772,Spotlight,Learning Pose Specific Representations by Predicting different Views,,"Georg Poier, Graz University of Technology; David Schinagl, ; Horst Bischof," +1775,Spotlight,A Papier-M_h Approach to Learning 3D Surface Generation,,"Thibault GROUEIX, _ole des ponts ParisTech; Bryan Russell, Adobe; Mathew Fisher, Adobe Systems; Mathieu Aubry, ; Vladimir Kim, Adobe Research" +1801,Spotlight,Disentangled Person Image Generation,,"Liqian Ma, KU Leuven; Qianru Sun, MPI for Informatics; Stamatios Georgoulis, KU Leuven; Mario Fritz, MPI, Saarbrucken, Germany; Bernt Schiele, MPI Informatics Germany; Luc Van Gool, KU Leuven" +1830,Oral,Deep Learning of Graph Matching,,"Andrei Zanfir, IMAR and Lund University; Cristian Sminchisescu," +1859,Spotlight,FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors,,"Yu Chen, NUST; Ying Tai, Tencent; Xiaoming Liu, Michigan State University; Chunhua Shen, University of Adelaide; Jian Yang, Nanjing University of Science and Technology" +1883,Spotlight,Learning deep structured active contours end-to-end,,"Diego Marcos, ; Devis Tuia, Wageningen University; Benjamin Kellenberger, Wageningen University and Research; Lisa Zhang, University of Toronto; Min Bai, ; Renjie Liao, ; Raquel Urtasun, University of Toronto" +1916,Spotlight,The iNaturalist Species Classification and Detection Dataset,,"Grant van Horn, California Institute of Technology; Oisin Mac Aodha, Caltech; Yang Song, Google; Yin Cui, CornellTech; Chen Sun, Google; Alex Shepard, iNaturalist; Hartwig Adam, Google; Pietro Perona, California Institute of Technology, USA; Serge Belongie," +1919,Spotlight,Teaching Categories to Human Learners with Visual Explanations,,"Oisin Mac Aodha, Caltech; Shihan Su, Caltech; Yuxin Chen, Caltech; Pietro Perona, California Institute of Technology, USA; Yisong Yue," +1926,Spotlight,Actor and Observer: Joint Modeling of First and Third-Person Videos,,"Gunnar Sigurdsson, CMU; Cordelia Schmid, INRIA Grenoble, France; Ali Farhadi, ; Abhinav Gupta, ; Karteek Alahari," +1928,Spotlight,Going from Image to Video Saliency: Augmenting Image Salience with Dynamic Attentional Push,,"Siavash Gorji, McGill University; James Clark, McGill University" +1956,Spotlight,Language-Based Image Editing with Recurrent attentive Models,,"Yelong Shen, Microsoft; Jianbo Chen, UC Berkeley; Jianfeng Gao, ; JingJing Liu, Microsoft; Xiaodong Liu, Microsoft" +1957,Spotlight,SBNet: Sparse Block_ Network for Fast Inference,,"Mengye Ren, Uber ATG; Andrei Pokrovsky, Uber ATG; Bin Yang, Uber ATG, UofT; Raquel Urtasun, University of Toronto" +1959,Spotlight,Learning Compositional Visual Concepts with Mutual Consistency,,"Yunye Gong, Cornell University; Srikrishna Karanam, Siemens Corporate Technology; Ziyan Wu, Siemens Corporation; Kuan-Chuan Peng, Siemens Corporation; Jan Ernst, Siemens Corporation; Peter Doerschuk, Cornell University" +1969,Spotlight,Learning to Extract a Video Sequence from a Single Motion-Blurred Image,,"Meiguang Jin, University of Bern, Switzerlan; Givi Meishvili, University of Bern, Switzerland; Paolo Favaro, Bern University, Switzerland" +1978,Oral,Synthesizing Images of Humans in Unseen Poses,,"Guha Balakrishnan, MIT; Adrian Dalca, ; Amy Zhao, MIT; Fredo Durand, ; John Guttag," +1988,Oral,Neural Inverse Kinematics for Unsupervised Motion Retargetting,,"Ruben Villegas, University of Michigan; Jimei Yang, ; Duygu Ceylan, ; Honglak Lee, University of Michigan, USA" +2022,Spotlight,DenseASPP: Densely Connected Networks for Semantic Segmentation,,"Maoke Yang, DeepMotion; Kun Yu, DeepMotion; Kuiyuan Yang, DeepMotion" +2044,Spotlight,iVQA: Inverse Visual Question Answering,,"Feng Liu, Southeast Univeristy; Tao Xiang, Queen Mary University of London; Timothy Hospedales, University of Edinburgh; Wankou Yang, Southeast University; Changyin Sun, Southeast University" +2058,Spotlight,Recurrent Slice Networks for 3D Segmentation on Point Clouds,,"Qiangui Huang, U of Southern CA; Weiyue Wang, USC; Ulrich Neumann, USC" +2082,Spotlight,"The Easy, The Medium and The Hard: Adapting Across Varied Domain Shifts",,"Swami Sankaranarayanan, University of Maryland; Yogesh Balaji, University of Maryland; Carlos Castillo, ; Rama Chellappa, University of Maryland, USA" +2096,Spotlight,InLoc: Indoor Visual Localization with Dense Matching and View Synthesis,,"Hajime Taira, Tokyo Institute of Technology; Masatoshi Okutomi, Tokyo Institute of Technology; Torsten Sattler, ETH Zurich; Mircea Cimpoi, Czech Institute of Informatics; Marc Pollefeys, ETH; Josef Sivic, ; Tomas Pajdla, ; Akihiko Torii, Tokyo Institute of Technology" +2108,Spotlight,Weakly Supervised Coupled Networks for Visual Sentiment Analysis,,"Jufeng Yang, Nankai University; Dongyu She, ; Yu-Kun Lai, Cardiff University; Paul Rosin, ; Ming-Hsuan Yang, UC Merced" +2113,Spotlight,End-to-End Learning of Motion Representation for Video Understanding,,"Lijie Fan, Tsinghua University; Wenbing Huang, Tencent AI Lab; Chuang Gan, Tsinghua University; Stefano Ermon, Stanford University; Junzhou Huang, UT Arlingtron; Boqing Gong, University of Central Florida" +2130,Spotlight,Weakly Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer,,"Hao-Shu Fang, Shanghai Jiao Tong University; Guansong Lu, Shanghai Jiao Tong University; Xiaolin Fang, Zhejiang University; Yu-Wing Tai, Tencent YouTu; Cewu Lu, Shanghai Jiao Tong University" +2161,Spotlight,Viewpoint-aware Video Summarization,,"Atsushi Kanehira, University of Tokyo; Luc Van Gool, KTH; Yoshitaka Ushiku, ; Tatsuya Harada, University of Tokyo" +2194,Oral,Direction-aware Spatial Context Features for Shadow Detection,,"Xiaowei Hu, CUHK; Lei Zhu, ; Chi-Wing Fu, ; Jing Qin, The Hong Kong Polytechnic University; Pheng-Ann Heng," +2261,Spotlight,Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination,,"Hazel Doughty, University of Bristol; Dima Damen, University of Bristol; Walterio Mayol-Cuevas," +2266,Spotlight,HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization,,"Bin Zhao, Northwestern Polytechnical Uni; Xuelong Li, ; Xiaoqiang Lu," +2342,Spotlight,Multi-Content GAN for Few-Shot Font Style Transfer,,"Samaneh Azadi, UC Berkeley; Matthew Fisher, Adobe; Vladimir Kim, Adobe Research; Zhaowen Wang, Adobe; Eli Shechtman, Adobe Research; Trevor Darrell, UC Berkeley, USA" +2344,Spotlight,LIME: Live Intrinsic Material Estimation,,"Abhimitra Meka, Max Planck Institute for Infor; Maxim Maximov, Graduate School of Computer Science, Saarland University; Michael Zollh_er, MPI Informatics; Avishek Chatterjee, Max Planck Institute for Informatics; Hans-Peter Seidel, Max Planck Institute for Informatics; Christian Richardt, University of Bath; Christian Theobalt, MPI Informatics" +2347,Spotlight,Multi-Agent Diverse Generative Adversarial Networks,,"Viveka Kulharia, University of Oxford; Arnab Ghosh, University of Oxford; Vinay P. Namboodiri, Indian Institute of Technology Kanpur; Phil Torr, Oxford; Puneet Kumar Dokania, University of Oxford" +2351,Spotlight,Light field intrinsics with a deep encoder-decoder network,,"Anna Alperovich, University of Konstanz; Ole Johannsen, University of Konstanz; Michael Strecke, University of Konstanz; Bastian Goldluecke," +2354,Oral,Density Adaptive Point Set Registration,,"Felix J_emo Lawin, Link_ing University; Martin Danelljan, ; Fahad Khan, Computer Vision Laboratory, Linkoping University , Sweden; Per-Erik Forssen, Linkoping University; Michael Felsberg, Link_ping University" +2355,Spotlight,Learning Monocular 3D Human Pose estimation on weakly-supervised Multi-view Images,,"Helge Rhodin, epfl.ch; J_g Sp_ri, Balgrist; Isinsu Katircioglu, EPFL Lausanne, Switzerland; Victor Constantin, EPFL; Fr__ic Meyer, ; Erich M_ler, ; Mathieu Salzmann, EPFL; Pascal Fua," +2361,Spotlight,Emotional Attention: A Study of Image Sentiment and Visual Attention,,"Shaojing Fan, National University of Singapo; Zhiqi Shen, National University of Singapore; Ming Jiang, University of Minnesota; Bryan Koenig, Southern Utah University; Juan Xu, University of Minnesota; Mohan Kankanhalli, National University of Singapore; Qi Zhao," +2406,Spotlight,Through-Wall Human Pose Estimation Using Radio Signals,,"Mingmin Zhao, MIT; Tianhong Li, MIT; Mohammad Abu Alsheikh, MIT; Yonglong Tian, Massachusetts Institute of Technology; Hang Zhao, MIT; Antonio Torralba, MIT; Dina Katabi, MIT" +2425,Spotlight,Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence,,"Ruiqi Gao, UCLA; Yang Lu, University of California Los Angeles; Junpei Zhou, ; Song-Chun Zhu, ; Yingnian Wu," +2462,Oral,Hybrid Camera Pose Estimation,,"Federico Camposeco, ETH; Andrea Cohen, ETH Zurich; Marc Pollefeys, ETH; Torsten Sattler, ETH Zurich" +2464,Spotlight,Alive Caricature from 2D to 3D,,"Qianyi Wu, USTC; Juyong Zhang, University of Science and Technology of China; Yu-Kun Lai, Cardiff University; Jianmin Zheng, Nanyang Technological University; Jianfei Cai," +2485,Spotlight,Self-Supervised Feature Learning by Learning to Spot Artifacts,,"Simon Jenni, Universit_ Bern; Paolo Favaro, Bern University, Switzerland" +2494,Spotlight,Towards High Performance Video Object Detection,,"Xizhou Zhu, ; Jifeng Dai, Microsoft Research; Lu Yuan, Microsoft Research Asia; Yichen Wei, Microsoft Research Asia" +2498,Oral,Relation Networks for Object Detection,,"Han Hu, ; Jiayuan Gu, Microsoft; Zheng Zhang, Microsoft; Jifeng Dai, Microsoft Research; Yichen Wei, Microsoft Research Asia" +2514,Spotlight,Deep Learning under Privileged Information Using Heteroscedastic Dropout,,"Ozan Sener, Stanford University; Silvio Savarese, ; John Lambert, Stanford University" +2523,Oral,"Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects",,"Md Amirul Islam, University of Manitoba; Mahmoud Kalash, University of Manitoba; Neil D. B. Bruce, University of Manitoba" +2565,Spotlight,Deep Parametric Continuous Convolutional Neural Networks,,"Shenlong Wang, ; Shun Da Suo, ; Wei-Chiu Ma, MIT; Raquel Urtasun, University of Toronto" +2567,Oral,Im2Pano3D: Extrapolating 360 Structure and Semantics Beyond the Field of View,,"Shuran Song, Princeton ; Andy Zeng, Princeton; Angel Chang, Stanford University; Manolis Savva, ; Silvio Savarese, ; Thomas Funkhouser, Princeton" +2583,Spotlight,AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation,,"Jogendra Kundu, Indian Institute of Science; Phani Krishna Uppala, Indian Institute of Science; Anuj Pahuja, Indian Institute of Science; Venkatesh Babu Radhakrishnan, Indian Institute of Science" +2589,Spotlight,FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis,,"Nitika Verma, INRIA; Edmond Boyer, ; Jakob Verbeek," +2612,Oral,Polarimetric Dense Monocular SLAM,,"Luwei Yang, Simon Farser University; Feitong Tan, Simon Fraser University; Ao Li, Simon Fraser University; Zhaopeng Cui, Simon Fraser University; Yasutaka Furukawa, ; Ping Tan," +2629,Spotlight,LEGO: Learning Edge with Geometry all at Once by Watching Videos,,"Zhenheng Yang, ; Peng Wang, Baidu; Yang Wang, Baidu USA; Wei Xu, ; Ram Nevatia," +2630,Spotlight,Iterative Learning with Open-set Noisy Labels,,"Yisen Wang, Tsinghua University; Xingjun Ma, The University of Melbourne; Weiyang Liu, Georgia Tech; James Bailey, The University of Melbourne; Hongyuan Zha, Georgia Institute of Technology; Le Song, Georgia Institute of Technology; Shu-Tao Xia, Tsinghua University" +2657,Spotlight,Learning Globally Optimized Object Detector via Policy Gradient,,"Yongming Rao, ; Dahua Lin, CUHK; Jiwen Lu, Tsinghua University" +2708,Spotlight,Multimodal Explanations: Justifying Decisions and Pointing to the Evidence,,"Lisa Anne Hendricks, UC Berkeley; Trevor Darrell, UC Berkeley, USA; Anna Rohrbach, UC Berkeley; Zeynep Akata, University of Amsterdam; Bernt Schiele, MPI Informatics Germany; Marcus Rohrbach, UC Berkeley; Dong Huk Park, UC Berkeley" +2726,Spotlight,Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN,,"Deepak Babu Sam, Indian Institute of Science; Neeraj Sajjan, Indian Institute of Science; Venkatesh Babu Radhakrishnan, Indian Institute of Science; Mukundhan Srinivasan, NVIDIA" +2732,Spotlight,Structured Set Matching Networks for One-Shot Part Labeling,,"Jonghyun Choi, ; Jayant Krishnamurthy, Semantic Machines; Aniruddha Kembhavi, Allen Institute for Artificial Intelligence; Ali Farhadi," +2765,Oral,The Perception-Distortion Tradeoff,,"Yochai Blau, Technion; Tomer Michaeli, Technion" +2769,Spotlight,Video Based Reconstruction of 3D People Models,,"Thiemo Alldieck, TU Braunschweig; Marcus Magnor, TU Braunschweig; Weipeng Xu, MPI Informatics; Christian Theobalt, MPI Informatics; Gerard Pons-Moll, Max Planck for Informatics" +2784,Spotlight,Path Aggregation Network for Instance Segmentation,,"Shu Liu, CUHK; Lu Qi, CUHK; Haifang Qin, ; Jianping Shi, SenseTime; Jiaya Jia, Chinese University of Hong Kong" +2792,Spotlight,Neural 3D Mesh Renderer,,"Hiroharu Kato, Univ. Tokyo; Tatsuya Harada, University of Tokyo" +2801,Spotlight,Learning Semantic Concepts and Order for Image and Sentence Matching,,"Yan Huang, ; Qi Wu, University of Adelaide; Liang Wang, unknown" +2805,Spotlight,Modifying Non-Local Variations Across Multiple Views,,"Tal Tlusty, Technion; Tomer Michaeli, Technion; Tali Dekel, Google; Lihi Zelnik-Manor," +2812,Oral,Discriminative Learning of Latent Features for Zero-Shot Recognition,,"Yan Li, CASIA; Junge Zhang, ; jianguo Zhang, ; Kaiqi Huang," +2823,Spotlight,Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network,,"Zizhao Zhang, University of Florida; Yuanpu Xie, University of Florida; Lin Yang," +2827,Spotlight,Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection,,"David Novotny, Oxford University; Samuel Albanie, Oxford University; Diane Larlus, NAVER LABS Europe; Andrea Vedaldi, U Oxford" +2851,Spotlight,Empirical study of the topology and geometry of deep networks,,"Alhussein Fawzi, ; Seyed-Mohsen Moosavi-Dezfooli, ; Pascal Frossard, ; Stefano Soatto, UCLA" +2871,Oral,Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter,,"Yuki Fujimura, Kyoto University; Masaaki Iiyama, Kyoto University; Atsushi Hashimoto, Kyoto University; Michihiko Minoh, Kyoto University" +2895,Spotlight,Future Person Localization in First-Person Videos,,"Takuma Yagi, The University of Tokyo; Karttikeya Mangalam, IIT Kanpur; Ryo Yonetani, The University of Tokyo; Yoichi Sato, Univ of Tokyo" +2905,Spotlight,Smooth Neighbors on Teacher Graphs for Semi-supervised Learning,,"Yucen Luo, Tsinghua University; Jun Zhu, Tsinghua University; Mengxi Li, Tsinghua University; Yong Ren, Tsinghua University; Bo Zhang," +2918,Spotlight,A PID Controller Approach for Stochastic Optimization of Deep Networks,,"An Wangpeng , Tsinghua University; Haoqian Wang, Tsinghua University, Shenzhen Graduate School; Qingyun Sun, Stanford Univsersity; Jun Xu, Hong Kong Polytechnic U; QIonghai Dai, Tsinghua University; Lei Zhang, The Hong Kong Polytechnic University" +2937,Spotlight,Deformation Aware Image Compression,,"Tamar Rott Shaham, Technion; Tomer Michaeli, Technion" +2956,Spotlight,Single View Stereo Matching,,"Yue Luo, SenseTime; Jimmy Ren, SenseTime Group Limited; Mude Lin, Sun Yat-Sen University; Jiahao Pang, SenseTime Group Limited; Wenxiu Sun, SenseTime Group Limited; Hongsheng Li, ; Liang Lin," +2964,Spotlight,Interpret Neural Networks by Identifying Critical Data Routing Paths,,"Yulong Wang, Tsinghua University; Hang Su, Tsinghua University; Xiaolin Hu, tsinghua" +2972,Spotlight,Beyond Gr_ner Bases: Basis Selection for Minimal Solvers,,"Viktor Larsson, Lund University; Magnus Oskarsson, Lund University Sweden; Kalle Astroem, Lund University; Alge Wallis, ; Zuzana Kukelova, Czech Technical University in Prague; Tomas Pajdla," +2974,Spotlight,"A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation",,"Guillermo Gallego, University of Zurich; Henri Rebecq, University of Zurich; Davide Scaramuzza, University of Zurich" +2980,Spotlight,Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading,,"Bjoern Haefner, TU Munich; Yvain Queau, Technical University Munich; Thomas M_lenhoff, Technical University of Munich; Daniel Cremers," +2989,Spotlight,Manifold Learning in Quotient Spaces,,"_oi Mehr, LIP6; Andr Lieutier, ; Fernando Sanchez Bermudez, ; Vincent Guitteny, ; Nicolas Thome, Conservatoire national des arts et m_iers; Matthieu Cord," +3001,Spotlight,Seeing Voices and Hearing Faces: Cross-modal biometric matching,,"Arsha Nagrani, University of Oxford; Samuel Albanie, Oxford University; Andrew Zisserman, Oxford" +3006,Spotlight,Compressed Video Action Recognition,,"Chao-Yuan Wu, UT Austin; Manzil Zaheer, Carnegie Mellon University; Hexiang Hu, ; R. Manmatha, A9; Alexander Smola, ; Philipp Krahenbuhl," +3013,Oral,"Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net",,"Wenjie Luo, Uber ATG.; UofT; Bin Yang, Uber ATG, UofT; Raquel Urtasun, University of Toronto" +3021,Spotlight,Creating Capsule Wardrobes from Fashion Images,,"Wei-Lin Hsiao, UT-Austin; Kristen Grauman," +3022,Spotlight,Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics,,"Alex Kendall, ; Yarin Gal, University of Cambridge; Roberto Cipolla," +3025,Spotlight,Image Collection Pop-up: 3D Reconstruction and Clustering of Rigid and Non-Rigid Categories,,"Antonio Agudo, IRI (CSIC-UPC); Francesc Moreno-Noguer, Institut de Robotica i Informatica Industrial (UPC/CSIC)" +3054,Oral,Trapping Light for Time of Flight,,"Ruilin Xu, Columbia University; Mohit Gupta, Wisconsin; Shree Nayar, Columbia University" +3074,Oral,Feature Space Transfer for Data Augmentation,,"Bo Liu, UCSD; Xudong Wang, UCSD; Mandar Dixit, UC San Diego; Roland Kwitt, ; Nuno Vasconcelos, UCSD, USA" +3099,Oral,Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250Hz,,"Ayush Tewari, MPI Informatics; Michael Zollh_er, MPI Informatics; Pablo Garrido, ; Florian Bernard, ; Hyeongwoo Kim, MPII; Patrick Perez, Technicolor Research; Christian Theobalt, MPI Informatics" +3108,Spotlight,3D Semantic Segmentation with Submanifold Sparse Convolutional Networks,,"Benjamin Graham, Facebook AI Research; Laurens van der Maaten, Facebook; Martin Engelcke, University of Oxford" +3124,Oral,"CodeSLAM --- Learning a Compact, Optimisable Representation for Dense Visual SLAM",,"Michael Bloesch, Imperial College London; Jan Czarnowski, Imperial College London; Ronald Clark, Imperial College London; Stefan Leutenegger, Imperial College London; Andrew Davison, Imperial College London UK" +3156,Spotlight,Modeling Facial Geometry using Compositional VAEs,,"Timur Bagautdinov, ; Chenglei Wu, Oculus; Jason Saragih, Oculus Research; Pascal Fua, ; Yaser Sheikh," +3218,Spotlight,Deep Spatio-Temporal Random Fields for Efficient Video Segmentation,,"Siddhartha Chandra, INRIA; Camille Couprie, Facebook Artificial Intelligence Research; Iasonas Kokkinos, FAIR/UCL" +3232,Spotlight,Robust Hough Transform Based 3D Reconstruction from Circular Light Fields,,"Alessandro Vianello, Robert Bosch GmbH; Jens Ackermann, Robert Bosch GmbH; Maximilian Diebold, Heidelberg University; Bernd J_ne, University of Heidelberg" +3254,Spotlight,LDMNet: Low Dimensional Manifold Regularized Neural Networks,,"Wei Zhu, Duke University; Qiang Qiu, ; Jiaji Huang, Baidu Silicon Valley AI Lab; Robert Calderbank, Duke University; Guillermo Sapiro, Duke; Ingrid Daubechies, Duke University" +3275,Oral,FlipDial: A Generative Model for Two-Way Visual Dialogue,,"Daniela Massiceti, University of Oxford; Siddharth Narayanaswamy, University of Oxford; Puneet Kumar Dokania, University of Oxford; Phil Torr, Oxford" +3280,Spotlight,Webly Supervised Learning Meets Zero-shot Learning: A Hybrid Approach for Fine-grained Classification,,"Li Niu, Rice University; Ashok Veeraraghavan, Rice University; Ashutosh Sabharwal," +3284,Spotlight,Cross-modal Deep Variational Hand Pose Estimation,,"Adrian Spurr, ETH Zurich; Jie Song, ETHZ; Seonwook Park, ETH Zurich; Otmar HIlliges, ETH Zurich" +3289,Oral,OATM: Occlusion Aware Template Matching by Consensus Set Maximization,,"Simon Korman, Weizmann Institute; Mark Milam, NGC; Stefano Soatto, UCLA" +3292,Spotlight,MX-LSTM: mixing tracklets and vislets to jointly forecast trajectories and head poses,,"Irtiza Hasan, University of Verona; Francesco Setti, ; Theodore Tsesmelis, ; Alessio Del Bue, Istituto Italiano di Tecnologia (IIT); Fabio Galasso, ; Marco Cristani, U. Verona" +3298,Spotlight,Learning Transferable Architectures for Scalable Image Recognition,,"Barret Zoph, Google; Vijay Vasudevan, Google; Jonathon Shlens, Google; Quoc Le, Google" +3308,Spotlight,MovieGraphs: Towards Understanding Human-Centric Situations from Videos,,"Paul Vicol, University of Toronto; Makarand Tapaswi, University of Toronto; Llu_ Castrej_, ; Sanja Fidler," +3318,Oral,Surface Networks,,"Ilya Kostrikov, NYU; Joan Bruna, New York University; Daniele Panozzo, NYU; Denis Zorin, NYU" +3324,Spotlight,Deep Depth Completion of a Single RGB-D Image,,"Yinda Zhang, Princeton; Thomas Funkhouser, Princeton" +3329,Spotlight,Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion,,"Rushil Anirudh, Lawrence Livermore National La; Hyojin Kim, Lawrence Livermore National Laboratory; Jayaraman J. Thiagarajan, LLNL; K. Aditya Mohan, Lawrence Livermore National Laboratory; Kyle Champley, Lawrence Livermore National Laboratory; Timo Bremer, Lawrence Livermore National Laboratory" +3330,Spotlight,Now You Shake Me: Towards Automatic 4D Cinema,,"Yuhao Zhou, University of Toronto; Makarand Tapaswi, University of Toronto; Sanja Fidler," +3340,Spotlight,"Learning-Compression"" algorithms for neural net pruning""",,"Miguel Carreira-perpinan, UC Merced; Yerlan Idelbayev, UC Merced" +3342,Spotlight,Reinforcement Cutting-Agent Learning for Video Object Segmentation,,"Junwei Han, Northwestern Polytechnical U.; Le Yang, Northwestern Polytechnical Uni; Dingwen Zhang, ; Xiaojun Chang, Carnegie Mellon University; Xiaodan Liang, Carnegie Mellon University" +3381,Spotlight,Large-scale Distance Metric Learning with Uncertainty,,"Qi Qian, Alibaba Group; Shenghuo Zhu, Alibaba Group; Rong Jin, Alibaba Group; Jiasheng Tang, Alibaba Group; Hao Li, Alibaba Group" +3394,Spotlight,Distributable Consistent Multi-Graph Matching,,"Nan Hu, Stanford Unviversity; Boris Thibert, ; Leonidas J. Guibas," +3399,Oral,VirtualHome: Simulating Household Activities via Programs,,"Xavier Puig, MIT; Kevin Ra, ; Marko Boben, ; Jiaman Li, University of Toronto; Tingwu Wang, ; Sanja Fidler, ; Antonio Torralba, MIT" +3430,Spotlight,Learning Nested Structures in Deep Neural Networks,,"Eunwoo Kim, Seoul National University; Chanho Ahn, Seoul National University; Songhwai Oh, Seoul National University" +3438,Spotlight,"Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape from Images",,"Silvia Zuffi, IMATI-CNR; Angjoo Kanazawa, University of Maryland; Michael Black, Max Planck Institute for Intelligent Systems" +3482,Spotlight,A Common Framework for Interactive Texture Transfer,,"Yifang Men, Peking University; Zhouhui Lian, ; Jianguo Xiao, Peking University" +3489,Spotlight,Guide Me: Interacting with Deep Networks,,"Christian Rupprecht, Technische Unitversit?t M?nchen; Iro Laina, ; Federico Tombari, ; Nassir Navab, Technical University of Munich; Gregory Hager, Johns Hopkins University" +3491,Spotlight,Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation,,"Dan Xu, ; Wei Wang, University of Trento; Hao Tang, University of Trento; Nicu Sebe, University of Trento; Elisa Ricci, U. Perugia" +3516,Oral,Egocentric Activity Recognition on a Budget,,"Rafael Possas, University of Sydney; Sheila Maricela Pinto Caceres, University of Sydney; Fabio Ramos, University of Sydney" +3523,Spotlight,TextureGAN: Controlling Deep Image Synthesis with Texture Patches,,"Wenqi Xian, ; Patsorn Sangkloy, Georgia Institute of Technology; Varun Agrawal, ; Amit Raj, Georgia Institute of Technolog; Jingwan Lu, Adobe Research; Chen Fang, Adobe Research; Fisher Yu, UC Berkeley; James Hays, Georgia Tech" +3536,Spotlight,Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images,,"Tribhuvanesh Orekondy, MPI-INF; Mario Fritz, MPI, Saarbrucken, Germany; Bernt Schiele, MPI Informatics Germany" +3548,Spotlight,Boosting Domain Adaptation by Discovering Latent Domains,,"Massimiliano Mancini, Sapienza University of Rome; Lorenzo Porzi, Mapillary Research; Samuel Rota Bul, Mapillary Research; Barbara Caputo, University of Rome La Sapienza, Italy; Elisa Ricci, U. Perugia" +3586,Oral,Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering,,"Nguyen Duy Kien, Tohoku University; Takayuki Okatani, Tohoku University/RIKEN AIP" +3595,Oral,Efficient Optimization for Rank-based Loss Functions,,"Pritish Mohapatra, IIIT Hyderabad; Michal Rolinek, Max Planck Institute for Intelligent Systems, Tuebingen; C.V. Jawahar, IIIT Hyderabad; Vladimir Kolmogorov, Institute of Science and Technology, Austria; M. Pawan Kumar," +3602,Spotlight,xUnit: Learning a Spatial Activation Function for Efficient Image Restoration,,"Idan Kligvasser, Technion; Tamar Rott Shaham, Technion; Tomer Michaeli, Technion" +3623,Oral,MakeupGAN: Makeup Transfer via Cycle-Consistent Adversarial Networks,,"Huiwen Chang, ; Jingwan Lu, Adobe Research; Fisher Yu, UC Berkeley; Adam Finkelstein, Princeton University" +3626,Oral,Revisiting Deep Intrinsic Image Decompositions,,"Qingnan Fan, Shandong University; David Wipf, Microsoft Research Asia; Jiaolong Yang, Microsoft Research Asia; Gang Hua, Microsoft Research; Baoquan Chen," +3656,Spotlight,CondenseNet: An Efficient DenseNet using Learned Group Convolutions,,"Gao Huang, ; Shichen Liu, Tsinghua University; Laurens van der Maaten, Facebook; Kilian Weinberger, Cornell University" +3659,Spotlight,Link and code: Fast indexing with graphs and compact regression codes,,"Matthijs Douze, ; Herve Jegou, Facebook AI Research" +3673,Spotlight,Learning Deep Descriptors with Scale-Aware Triplet Networks,,"Michel Keller, ETH Z_ich; Zetao Chen, ETH Zurich; Fabiola Maffra, ETH Z_ich; Patrik Schmuck, ETH Zurich; Margarita Chli, ETH Zurich" +3718,Oral,Ordinal Depth Supervision for 3D Human Pose Estimation,,"Georgios Pavlakos, ; Xiaowei Zhou, Zhejiang University; Kostas Daniilidis, University of Pennsylvania" +3723,Oral,Multi-Cell Classification by Convolutional Dictionary Learning with Class Proportion Priors,,"Florence Yellin, Johns Hopkins University; Benjamin Haeffele, Johns Hopkins University; Rene Vidal, Johns Hopkins University" +3741,Spotlight,Learning Intelligent Dialogs for Bounding Box Annotation,,"Ksenia Konyushkova, Google; Jasper Uijlings, Google; Christoph Lampert, ; Vittorio Ferrari, google" +3761,Spotlight,Burst Denoising with Kernel Prediction Networks,,"Ben Mildenhall, UC Berkeley; Jiawen Chen, Google; Jonathan Barron, Google; Robert Carroll, Google; Dillon Sharlet, ; Ren Ng, Berkeley" +3771,Spotlight,Art of singular vectors and universal adversarial perturbations,,"Valentin Khrulkov, Skoltech; Ivan Oseledets, Skoltech" +3791,Spotlight,"A Low Power, High Throughput, Fully Event-Based Stereo System",,"Alexander Andreopoulos, IBM Research; Hirak Kashyap, UC Irvine and IBM; Tapan Nayak, IBM; Arnon Amir, IBM; Myron Flickner, IBM" +3807,Spotlight,Jointly Localizing and Describing Events for Dense Video Captioning,,"Yehao Li, Sun Yat-Sen University; Ting Yao, Microsoft Research Asia; Yingwei Pan, University of Science and Technology of China; Hongyang Chao, Sun Yat-sen University; Tao Mei, Microsoft Research Asia" +3815,Spotlight,Customized Image Narrative Generation via Interactive Visual Question Generation and Answering,,Andr +3817,Spotlight,Good Appearance Features for Multi-Target Multi-Camera Tracking,,"Ergys Ristani, Duke University; Carlo Tomasi, Duke University" +3890,Oral,Accurate and Diverse Sampling of Sequences based on a ``Best of Many'' Sample Objective,,"Apratim Bhattacharyya, MPI Informatics; Mario Fritz, MPI, Saarbrucken, Germany; Bernt Schiele, MPI Informatics Germany" +3916,Spotlight,Unsupervised Person Image Synthesis in Arbitrary Poses,,"Albert Pumarola, IRI (CSIC-UPC); Antonio Agudo, IRI (CSIC-UPC); Alberto Sanfeliu, IRI (CSIC-UPC); Francesc Moreno-Noguer, Institut de Robotica i Informatica Industrial (UPC/CSIC)" +3966,Oral,MapNet: An Allocentric Spatial Memory for Mapping Environments,,"Joao Henriques, ; Andrea Vedaldi, U Oxford" +3968,Oral,A Globally Optimal Solution to the Non-Minimal Relative Pose Problem,,"Jesus Briales, University of Malaga; Laurent Kneip, ; Javier Gonzalez-Jimenez," +3970,Spotlight,Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework,,"Jie Chen, Nanyang Technological University; Cheen-Hau Tan, ; Junhui Hou, City University of Hong Kong; Lap-Pui Chau, Nanyang Technological University; He Li," +3971,Spotlight,Unsupervised Learning and Segmentation of Complex Activities from Video,,"Fadime Sener, University of Bonn; Angela Yao, University of Bonn" +3977,Spotlight,Inferring Light Fields from Shadows,,"Manel Baradad, MIT; Vickie Ye, MIT; Adam Yedida, MIT; Fredo Durand, ; William Freeman, MIT/Google; Gregory Wornell, ; Antonio Torralba, MIT" +3990,Spotlight,"Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions",,"Bichen Wu, UC Berkeley; Xiangyu Yue, UC Berkeley; Alvin Wan, UC Berkeley; Peter Jin, UC Berkeley; Sicheng Zhao, UC Berkeley; Noah Golmant, UC Berkeley; Amir Gholaminejad, UC Berkeley; Joseph Gonzalez, UC Berkeley; Kurt Keutzer, UC Berkeley" +4057,Spotlight,Captioning Images with Style Transfer from Unaligned Text Corpora,,"Alexander Mathews, Australian National University; Xuming He, ShanghaiTech; Lexing Xie, Australian National University, Data61" +4083,Spotlight,Extreme 3D Face Reconstruction: Looking Past Occlusions,,"Anh Tran, USC; Tal Hassner, Open Univ Israel; Iacopo Masi, USC; G_ard Medioni," +4093,Spotlight,Deflecting Adversarial Attacks with Pixel Deflection,,"Aaditya Prakash, Brandeis University; Nick Moran, Bradeis University; Solomon Garber, Brandeis University; Antonella DiLillo, Brandeis University; James Storer, Brandeis University" +4098,Spotlight,Boosting Adversarial Attacks with Momentum,,"Yinpeng Dong, Tsinghua Univeristy; Fangzhou Liao, Tsinghua University; Tianyu Pang, Tsinghua University; Hang Su, Tsinghua University; Jun Zhu, Tsinghua University; Xiaolin Hu, tsinghua; Jianguo Li, Intel Lab" +4133,Spotlight,Decoupled Networks,,"Weiyang Liu, Georgia Tech; Zhen Liu, ; Zhiding Yu, Carnegie Mellon University; Bo Dai, ; Yisen Wang, Tsinghua University; Thomas Breuel, ; James Rehg, Georgia Institute of Technology; Jan Kautz, NVIDIA; Le Song, Georgia Institute of Technology" +4217,Spotlight,Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks,,"Ruth Fong, University of Oxford; Andrea Vedaldi, U Oxford" +4304,Spotlight,Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution,,"Ying Qu, The University of Tennessee; Hairong Qi, University of Tennessee; Chiman Kwan," +4307,Oral,A Volumetric Descriptive Network for 3D Object Synthesis,,"Jianwen Xie, UCLA; Zilong Zheng, ucla" +7,Poster,Video Captioning via Hierarchical Reinforcement Learning,,"Xin Wang, UCSB; Wenhu Chen, ; Jiawei Wu, UCSB; Yuan-Fang Wang, UCSB; William Yang Wang, UCSB" +19,Poster,Frustum PointNets for 3D Object Detection from RGB-D Data,,"Charles R. Qi, Stanford University; Wei Liu, ; Chenxia Wu, ; hao Su, ; Leonidas J. Guibas," +21,Poster,Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge,,"Damien Teney, Unversity of Adelaide; Peter Anderson, Australian National University; Xiaodong He, ; Anton Van den Hengel, University of Adelaide" +24,Poster,Rethinking the Faster R-CNN Architecture for Temporal Action Localization,,"Yu-Wei Chao, University of Michigan; Sudheendra Vijayanarasimhan, Google Research; Bryan Seybold, Google Research; David Ross, Google Research; Jia Deng, ; Rahul Sukthankar, Google Research" +34,Poster,A High-Quality Denoising Dataset for Smartphone Cameras,,"Abdelrahman Abdelhamed, York University; Stephen Lin, Microsoft Research Asia, China; Michael Brown, York University" +35,Poster,Improving Color Reproduction Accuracy in the Camera Imaging Pipeline,,"Hakki Karaimer, York University; Michael Brown, York University" +41,Poster,pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment,,"Je Hyeong Hong, University of Cambridge; Christopher Zach, Toshiba Research" +47,Poster,Learning to Segment Every Thing,,"Ronghang Hu, UC Berkeley; Piotr Dollar, Facebook AI Research, Menlo Park, USA; Kaiming He, ; Trevor Darrell, UC Berkeley, USA; Ross Girshick," +52,Poster,Embodied Question Answering,,"Abhishek Das, Georgia Tech; Samyak Datta, Georgia Tech; Georgia Gkioxari, Facebook; Devi Parikh, Georgia Tech; Dhruv Batra, Georgia Tech; Stefan Lee, Georgia Tech" +64,Poster,Towards Open-Set Identity Preserving Face Synthesis,,"Jianmin Bao, USTC; Dong Chen, Microsoft Research Asia; Fang Wen, ; Houqiang Li, ; Gang Hua, Microsoft Research" +67,Poster,Baseline Desensitizing In Translation Averaging,,"Bingbing Zhuang, National University of Singapore; Loong Fah Cheong, National University of Singapore; Gim Hee Lee, National University of SIngapore" +68,Poster,Learning from the Deep: A Revised Underwater Image Formation Model,,"Derya Akkaynak, University of Haifa; Tali Treibitz, University of Haifa" +77,Poster,Deep Texture Manifold for Ground Terrain Recognition,,"Jia Xue, Rutgers; Hang Zhang, Rutgers University; Kristin Dana," +83,Poster,DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems,,"Florian Bernard, ; Christian Theobalt, MPI Informatics; Michael Moeller, University of Siegen" +85,Poster,"Sparse, Smart Contours to Represent and Edit Images",,"Tali Dekel, Google; Dilip Krishnan, Google; Chuang Gan, Tsinghua University; Ce Liu, Google, Cambridge, USA; William Freeman, Google" +92,Poster,Every Smile is Unique: Landmark-guided Diverse Smile Generation,,"Wei Wang, University of Trento; Xavier Alameda-Pineda, University of Trento; Dan Xu, ; Elisa Ricci, U. Perugia; Nicu Sebe, University of Trento" +95,Poster,Generative Non-Rigid Shape Completion with Graph Convolutional Autoencoders,,"Or Litany, Tel Aviv University; Alex Bronstein, ; Michael Bronstein, ; Ameesh Makadia, Google Research" +97,Poster,Learning a Discriminative Prior for Blind Image Deblurring,,"Lerenhan Li, HUST; Jinshan Pan, UC Merced; Wei-Sheng Lai, University of California, Merced; Changxin Gao, HUST; Nong Sang, ; Ming-Hsuan Yang, UC Merced" +100,Poster,Attentional ShapeContextNet for Point Cloud Recognition,,"Saining Xie, UCSD; Sainan Liu, UCSD; Zeyu Chen, UCSD; Zhuowen Tu, UCSD, USA" +102,Poster,Learning Superpixels with Segmentation-Aware Affinity Loss,,"Wei-Chih Tu, National Taiwan University; Ming-Yu Liu, NVIDIA; Varun Jampani, NVIDIA Research; Deqing Sun, NVIDIA; Shao-Yi Chien, National Taiwan University; Ming-Hsuan Yang, UC Merced; Jan Kautz, NVIDIA" +106,Poster,Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation,,"Qihang Yu, Peking University; Lingxi Xie, UCLA; Yan Wang, JHU; Yuyin Zhou, JHU; Elliot Fishman, ; Alan Yuille, JHU" +109,Poster,MegaDepth: Learning Single-View Depth Prediction from Internet Photos,,"Zhengqi Li, Cornell University; Noah Snavely, Cornell University / Google" +112,Poster,Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering,,"Aishwarya Agrawal, Georgia Institute of Technology; Dhruv Batra, Georgia Tech; Devi Parikh, Georgia Tech; Aniruddha Kembhavi, Allen Institute for Artificial Intelligence" +116,Poster,Human-centric Indoor Scene Synthesis Using Stochastic Grammar,,"Siyuan Qi, UCLA; Yixin Zhu, UCLA; Siyuan Huang, UCLA; Chenfanfu Jiang, ; Song-Chun Zhu," +120,Poster,Learning by Asking Questions,,"Ishan Misra, CMU; Ross Girshick, ; Rob Fergus, New York University; Martial Hebert, Carnegie Mellon University; Abhinav Gupta, ; Laurens van der Maaten, Facebook" +121,Poster,Instance Embedding Transfer to Unsupervised Video Object Segmentation,,"Siyang Li, USC; Bryan Seybold, Google Research; Alexey Vorobyov, Google Inc.; Alireza Fathi, Stanford University; Qin Huang, University of Southern California; C.-C. Jay Kuo, University of Southern California" +122,Poster,Detect-and-Track: Efficient Pose Estimation in Videos,,"Rohit Girdhar, CMU; Georgia Gkioxari, Facebook; Lorenzo Torresani, Darthmout College, USA; Manohar Paluri, ; Du Tran, Dartmouth College" +124,Poster,Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval,,"Chao Li, Xidian University; Cheng Deng, Xidian University; Ning Li, Xidian University; Wei Liu, ; Dacheng Tao, University of Sydney; Xinbo Gao," +125,Poster,Guided Proofreading of Automatic Segmentations for Connectomics,,"Daniel Haehn, Harvard University; Verena Kaynig, ; James Tompkin, Brown University; Jeff Lichtman, Harvard University; Hanspeter Pfister, Harvard University" +130,Poster,Context-aware Synthesis for Video Frame Interpolation,,"Simon Niklaus, Portland State University; Feng Liu, Portland State University" +131,Poster,2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning,,"Diogo Luvizon, ETIS Lab; David Picard, ETIS /LIP6; Hedi Tabia, ETIS / ENSEA" +135,Poster,NAG: Network for Adversary Generation,,"Konda Reddy Mopuri, Indian Institute of Science; Utkarsh Ojha, MNNIT Allahabad; Utsav Garg, Nanyang Technological University; Venkatesh Babu Radhakrishnan, Indian Institute of Science" +137,Poster,Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration,,"Lu Sheng, The Chinese University of HK; Jing Shao, The Sensetime Group Limited; Ziyi Lin, SenseTime Co. Ltd.; Xiaogang Wang, Chinese University of Hong Kong" +147,Poster,Interactive Image Segmentation with Latent Diversity,,"Zhuwen Li, Intel Labs; Qifeng Chen, Intel Labs; Vladlen Koltun, Intel Labs" +165,Poster,W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection,,"Yongqiang Zhang, Harbin institute of Technology/KAUST; Yancheng Bai, Kaust/Iscas; Mingli Ding, ; Yongqiang Li, ; Bernard Ghanem," +170,Poster,BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning,,"Ziming Zhang, MERL; Yuanwei Wu, University of Kansas; Guanghui Wang, University of Kansas" +178,Poster,Salient Object Detection Driven by Fixation Prediction,,"Wenguan Wang, Beijing Institute of Technology; Jianbing Shen, Beijing Institute of Technolog; Xingping Dong, Beijing Institute of Technology; Ali Borji, UCF" +179,Poster,3D Object Detection with Latent Support Surfaces,,"Zhile Ren, Brown University; Erik Sudderth, UC Irvine" +182,Poster,Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points,,"Fabien Baradel, LIRIS, INSA-Lyon; Christian Wolf, INRIA, INSA-Lyon, CITI, LIRIS; Julien Mille, INSA Val de Loire; Graham Taylor, University of Guelph" +186,Poster,Visual Grounding via Accumulated Attention,,"chaorui Deng, ; Qi Wu, University of Adelaide; Fuyuan Hu, ; Fan Lyu, Suzhou University of Science and Technology; Mingkui Tan, South China University of Technology; Qingyao Wu, School of Software Engineering, South China University of Technology" +191,Poster,Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors,,"Xuanyi Dong, UTS; Shoou-I Yu, Oculus; Xinshuo Weng, Carnegie Mellon University; Shih-En Wei, Oculus Research; Yi Yang, ; Yaser Sheikh," +195,Poster,ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing,,"Jian Zhang, KAUST; Bernard Ghanem," +200,Poster,Perturbative Neural Networks: Rethinking Convolution in CNNs,,"Felix Juefei-Xu, Carnegie Mellon University; Vishnu Naresh Boddeti, Michigan State University; Marios Savvides, Carnegie Mellon University" +216,Poster,Towards Pose Invariant Face Recognition in the Wild,,"Jian Zhao, NUS; Yu Cheng, Nanyang Technological University; Yan Xu, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Lin Xiong, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Jianshu Li, National University of Singapo; Fang Zhao, National University of Singapore; Karlekar Jayashree, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Sugiri Pranata, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Shengmei Shen, Core Technology Group, Learning & Vision, Panasonic R&D Center Singapore; Junliang Xing, Institute of Automation, Chinese Academy of Sciences; Shuicheng Yan, National University of Singapore; Jiashi Feng," +224,Poster,MoNet: Deep Motion Exploitation for Video Object Segmentation,,"Huaxin Xiao, Nudt; Jiashi Feng, ; Guosheng Lin, Nanyang Technological Universi; Yu Liu, NUDT; Maojun Zhang," +229,Poster,Exploring Disentangled Feature Representation Beyond Face Identification,,"Yu Liu, CUHK; Fangyin Wei, Peking University; Jing Shao, The Sensetime Group Limited; Lu Sheng, The Chinese University of HK; Junjie Yan, ; Xiaogang Wang, Chinese University of Hong Kong" +232,Poster,Towards Effective Low-bitwidth Convolutional Neural Networks,,"Bohan Zhuang, The University of Adelaide; Chunhua Shen, University of Adelaide; Mingkui Tan, South China University of Technology; Lingqiao Liu, University of Adelaide; Ian Reid," +234,Poster,Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries,,"Bohan Zhuang, The University of Adelaide; Qi Wu, University of Adelaide; Chunhua Shen, University of Adelaide; Ian Reid, ; Anton Van den Hengel, University of Adelaide" +237,Poster,Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering,,"Kaili Zhao, Beijing University of Post & T; Wen-Sheng Chu, Carnegie Mellon University; Aleix Martinez, The ohio state university" +246,Poster,Single-Shot Object Detection with Enriched Semantics,,"Zhishuai Zhang, Johns Hopkins University; Siyuan Qiao, Johns Hopkins University; Cihang Xie, JHU; Wei Shen, Shanghai University; Bo Wang, HikVision USA Inc.; Alan Yuille, JHU" +250,Poster,Unifying Identification and Context Learning for Person Recognition,,"Qingqiu Huang, CUHK; Yu Xiong, CUHK; Dahua Lin, CUHK" +252,Poster,Separating Self-Expression and Visual Content in Hashtag Supervision,,"Andreas Veit, Cornel Tech ; Maximillian Nickel, ; Serge Belongie, ; Laurens van der Maaten, Facebook" +255,Poster,Multi-Cue Correlation Filters for Robust Visual Tracking,,"Ning Wang, USTC; Wengang Zhou, USTC; Qi Tian, ; Richang Hong, ; Meng Wang, HeFei University of Technology; Houqiang Li," +260,Poster,Beyond Trade-off: Accelerate FCN-based Face Detection with Higher Accuracy,,"Guanglu Song, Beihang University; Yu Liu, CUHK; Ming Jiang, BUAA; Yujie Wang, Beihang university" +261,Poster,On the Robustness of Semantic Segmentation Models to Adversarial Attacks,,"Anurag Arnab, University of Oxford; Ondrej Miksik, University of Oxford; Phil Torr, Oxford" +285,Poster,Improved Human Pose Estimation through Adversarial Data Augmentation,,"Zhiqiang Tang, Rutgers; Xi Peng, ; Fei Yang, facebook; Rogerio Feris, IBM; Dimitris Metaxas, Rutgers" +289,Poster,Generative Adversarial Learning Towards Fast Weakly Supervised Detection,,"Yunhang Shen, Xiamen University; Rongrong Ji, ; Shengchuan Zhang, ; Wangmeng Zuo, Harbin Institute of Technology; Yan Wang, Microsoft" +299,Poster,The Unreasonable Effectiveness of Deep Features as a Perceptual Metric,,"Richard Zhang, UC Berkeley; Phillip Isola, UC Berkeley; Alexei Efros, UC Berkeley; Eli Shechtman, Adobe Research; Oliver Wang, Adobe" +303,Poster,Frame-Recurrent Video Super-Resolution,,"Mehdi S. M. Sajjadi, Max Planck Institute for Intel; Raviteja Vemulapalli, Google; Matthew Brown," +304,Poster,Deep Mutual Learning,,"Ying Zhang, QMUL; Tao Xiang, Queen Mary University of London; Timothy Hospedales, University of Edinburgh; Huchuan Lu, Dalian University of Technology" +308,Poster,Real-world Anomaly Detection in Surveillance Videos,,"Waqas Sultani, ; Chen Chen, University of Central Florida; Mubarak Shah, UCF" +310,Poster,Soccer on Your Tabletop,,"Konstantinos Rematas, University of Washington; Ira Kemelmacher, ; Brian Curless, Washington; Steve Seitz, Washington/Google" +312,Poster,Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification,,"Shuang Li, The Chinese University of HK; Slawomir Bak, Disney Research; Peter Carr, Disney Research" +313,Poster,HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN,,"Yue Cao, Tsinghua University; Mingsheng Long, Tsinghua University; Bin Liu, Tsinghua University; Jianmin Wang," +316,Poster,Excitation Backprop for RNNs,,"Sarah Bargal, Boston University; Andrea Zunino, Istituto Italiano di Tecnologia; Donghyun Kim, Boston University; Jianming Zhang, Adobe Research; Vittorio Murino, Istituto Italiano di Tecnologia; Stan Sclaroff, Boston University" +319,Poster,Dynamic-Structured Semantic Propagation Network,,"Xiaodan Liang, Carnegie Mellon University; Hongfei Zhou, ; Eric Xing, Carnegie Mellon University" +329,Poster,Video Representation Learning Using Discriminative Pooling,,"Jue Wang, ANU; Anoop Cherian, ; Fatih Porikli, NICTA, Australia; Stephen Gould, Australian National University" +330,Poster,Attend and Interact: Higher-Order Object Interactions for Video Understanding,,"CHIH-YAO MA, GEORGIA TECH; Asim Kadav, NEC Labs; Iain Melvin, ; Zsolt Kira, ; Ghassan AlRegib, ; Hans Peter Graf," +342,Poster,Human Pose Estimation with Parsing Induced Learner,,"Xuecheng Nie, National University of Singapo; Jiashi Feng, ; Yiming Zuo, Tsinghua University; Shuicheng Yan," +345,Poster,4D Human Body Correspondences from Panoramic Depth Maps,,"Zhong Li, University of Delaware; Minye Wu, ShanghaiTech; Wangyiteng Zhou, ShanghaiTech University; Jingyi Yu, University of Delaware, USA" +346,Poster,Recognizing Human Actions as Evolution of Pose Estimation Maps,,"Mengyuan Liu, Nanyang Technological University; Junsong Yuan," +348,Poster,GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning,,"Yueqi Duan, Tsinghua University; Ziwei Wang, Tsinghua University; Jiwen Lu, Tsinghua University; Xudong Lin, Tsinghua University; Jie Zhou," +353,Poster,Revisiting Video Saliency: A Large-scale Benchmark and a New Model,,"Wenguan Wang, Beijing Institute of Technology; Jianbing Shen, Beijing Institute of Technolog; Fang Guo, Beijing Institute of Technology; Ming-Ming Cheng, Nankai University; Ali Borji, UCF" +362,Poster,Graph-Cut RANSAC,,"Daniel Barath, MTA SZTAKI; Jiri Matas," +363,Poster,Five-point Fundamental Matrix Estimation for Uncalibrated Cameras,,"Daniel Barath, MTA SZTAKI" +367,Poster,Hashing as Tie-Aware Learning to Rank,,"Kun He, Boston University; Fatih Cakir, Boston University; Sarah Bargal, Boston University; Stan Sclaroff, Boston University" +368,Poster,Optimizing Local Feature Descriptors for Nearest Neighbor Matching,,"Kun He, Boston University; Yan Lu, ; Stan Sclaroff, Boston University" +380,Poster,ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing,,"Chen-Hsuan Lin, CMU; Ersin Yumer, Argo AI; Oliver Wang, Adobe; Eli Shechtman, Adobe Research; Simon Lucey," +391,Poster,Motion-Guided Cascaded Refinement Network for Video Object Segmentation,,"Ping Hu, ; Gang Wang, ; Xiangfei Kong, Nanyang Technological University; Jason Kuen, NTU, Singapore; Yap-Peng Tan," +397,Poster,Zigzag Learning for Weakly Supervised Object Detection,,"Xiaopeng Zhang, National University of Singapore; Jiashi Feng, ; Hongkai Xiong, Shanghai Jiao Tong University; Qi Tian," +408,Poster,Cross-Domain Self-supervised Multi-task Feature Learning Using Synthetic Game Imagery,,"Zhongzheng Ren, UC Davis; Yong Jae Lee, UC Davis" +409,Poster,LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image,,"Chuhang Zou, UIUC; Alex Colburn, Zillow Group Inc.; Qi Shan, Zillow Group; Derek Hoiem," +418,Poster,Thoracic Disease Identification and Localization with Limited Supervision,,"Zhe Li, Syracuse University; Chong Wang, Google Inc; Mei Han, Google Inc; Yuan Xue, Google; Wei Wei, Google Inc.; Li-jia Li, Google Inc; Fei-Fei Li, Google Inc." +419,Poster,Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks,,"Jason Kuen, NTU, Singapore; Xiangfei Kong, Nanyang Technological University; Zhe Lin, Adobe Systems, Inc.; Gang Wang, ; Jianxiong Yin, NVIDIA; Simon See, NVIDIA; Yap-Peng Tan," +421,Poster,Deep End-to-End Time-of-Flight Imaging,,"Shuochen Su, University of British Columbia; Felix Heide, Stanford University; Gordon Wetzstein, ; Wolfgang Heidrich," +425,Poster,Min-Entropy Latent Model for Weakly Supervised Object Detection,,"Fang Wan, UCAS; Pengxu Wei, ; Jianbin Jiao, ; Zhenjun Han, ; Qixiang Ye," +430,Poster,Face Aging with Identity-Preserved Conditional Generative Adversarial Networks,,"Zongwei WANG, ; Xu Tang, ; Weixin Luo, Shanghaitech University; Shenghua Gao, ShanghaiTech University" +436,Poster,Style Aggregated Network for Facial Landmark Detection,,"Xuanyi Dong, UTS; Yan Yan, UTS; Wanli Ouyang, The University of Sydney; Yi Yang," +449,Poster,Classification Driven Dynamic Image Enhancement,,"Vivek Sharma, Karlsruhe Institute of Technology; Ali Diba, ; Davy Neven, KU Leuven; Michael Brown, York University; Luc Van Gool, KTH; Rainer Stiefelhagen, Karlsruhe Institute of Technology" +456,Poster,Generative Image Inpainting with Contextual Attention,,"Jiahui Yu, UIUC; Zhe Lin, Adobe Systems, Inc.; Jimei Yang, ; Xiaohui Shen, Adobe Research; Xin Lu, ; Thomas Huang," +460,Poster,Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification,,"Jianlou Si, BUPT; Honggang Zhang, ; Chun-Guang Li, Beijing Univ. of Posts&Telecom; Jason Kuen, NTU, Singapore; Xiangfei Kong, Nanyang Technological University; Alex Kot, ; Gang Wang," +468,Poster,Multi-Level Factorisation Net for Person Re-Identification,,"Xiaobin Chang, Queen Mary Univ. of London; Timothy Hospedales, University of Edinburgh; Tao Xiang, Queen Mary University of London" +473,Poster,A Two-Step Disentanglement Method,,"Naama Hadad, Tel Aviv University; Lior Wolf, Tel Aviv University, Israel; Moni Shahar, Tel Aviv University" +482,Poster,Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?,,"Kensho Hara, AIST; Hirokatsu Kataoka, AIST; Yutaka Satoh, AIST" +491,Poster,Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves,,"Shiwei Li, HKUST; Yao Yao, HKUST; Tian Fang, HKUST; Long Quan, The Hong Kong University of Science and Technology, Hong Kong" +493,Poster,Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior,,"Daniel S. Jeon, KAIST; Seung-Hwan Baek, KAIST; Inchang Choi, ; Min H. Kim, KAIST" +494,Poster,Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB,,"Tomoyuki Suzuki, Keio University; Hirokatsu Kataoka, AIST; Yoshimitsu Aoki, Keio University; Yutaka Satoh, AIST" +505,Poster,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,,"Wenguan Wang, Beijing Institute of Technology; Yuanlu Xu, University of California, Los Angeles; Jianbing Shen, Beijing Institute of Technolog; Song-Chun Zhu," +506,Poster,Unsupervised CCA,,"Yedid Hoshen, Facebook AI Research (FAIR); Lior Wolf, Tel Aviv University, Israel" +510,Poster,Discovering Point Lights with Intensity Distance Fields,,"Edward Zhang, University of Washington; MIchael Cohen, ; Brian Curless, Washington" +512,Poster,Universal Denoising Networks : A Novel CNN-based Network Architecture for Image Denoising,,"Stamatios Lefkimmiatis, Skolkovo Institute of Science" +517,Poster,Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints,,"Jiahuan Zhou, Northwestern University; Bing Su, Chinese Academy of Sciences; Ying Wu, Northwestern University, USA" +534,Poster,Recurrent Scene Parsing with Perspective Understanding in the Loop,,"Shu Kong, University of California, Irvine; Charless Fowlkes, University of California, Irvine, USA" +540,Poster,Learning to Hash by Discrepancy Minimization,,"Zhixiang Chen, Tsinghua University; Xin Yuan, Tsinghua University; Jiwen Lu, Tsinghua University; Jie Zhou," +542,Poster,Fast End-to-End Trainable Guided Filter,,"Huikai Wu, CASIA; Shuai Zheng, EBay; Junge Zhang, ; Kaiqi Huang, National Laboratory of Pattern Recognition" +550,Poster,Disentangling Structure and Aesthetics for Content-aware Image Completion,,"Andrew Gilbert, University of Surrey; John Collomosse, University of Surrey, UK.; Hailin Jin, ; Brian Price," +561,Poster,CSGNet: Neural Shape Parser for Constructive Solid Geometry,,"Gopal Sharma, University of Massachusetts; Subhransu Maji, ; Rishabh Goyal, Indian Institute of Technology, Kanpu; Difan Liu, UMass Amherst; Evangelos Kalogerakis, UMass" +569,Poster,The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation,,"Pia Bideau, University of Massachusets; Aruni RoyChowdhury, University of Massachusetts; Rakesh Radhakrishnan Menon, University of Massachusetts; Erik Miller," +573,Poster,In-Place Activated BatchNorm for Memory-Optimized Training of DNNs,,"Samuel Rota Bulo', Mapillary Research; Lorenzo Porzi, Mapillary Research; Peter Kontschieder," +574,Poster,Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks,,"Zhenhua Feng, University of Surrey; Muhammad Awais, university of surrey; Josef Kittler, ; Patrik Huber, University of Surrey; Xiaojun Wu, Jiangnan University" +588,Poster,Coupled End-to-end Transfer Learning with Generalized Fisher Information,,"Shixing Chen, Wayne State University; Caojin Zhang, Wayne State University; Ming Dong," +589,Poster,Knowledge Aided Consistency for Weakly Supervised Phrase Grounding,,"Kan Chen, Univ. of Southern California; Jiyang Gao, ; Ram Nevatia," +593,Poster,Viewpoint-aware Attentive Multi-view Inference for Vehicle Re-identification,,"Yi Zhou, University of East Anglia; Ling Shao, University of East Anglia" +594,Poster,MatNet: Modular Attention Network for Referring Expression Comprehension,,"Licheng Yu, UNC Chapel Hill; Zhe Lin, Adobe Systems, Inc.; Xiaohui Shen, Adobe Research; Jimei Yang, ; Xin Lu, ; Mohit Bansal, UNC Chapel Hill; Tamara Berg, University on North carolina" +598,Poster,CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation,,"Konstantinos Batsos, Stevens Institute of Technolog; Changjiang Cai, ; Philippos Mordohai, Stevens Institute of Technology" +603,Poster,Who Let The Dogs Out? Modeling Dog Behavior From Visual Data,,"KIANA EHSANI, 1993; Hessam Bagherinezhad, University of Washington; Joe Redmon, University of Washington; Roozbeh Mottaghi, Allen Institute for Artificial Intelligence; Ali Farhadi," +609,Poster,Efficient Video Object Segmentation via Network Modulation,,"Linjie Yang, Snap Research; YANRAN WANG, NORTHWESTERN; Xuehan Xiong, Snapchat; Jianchao Yang, Snap; Aggelos Katsaggelos, Northwestern University" +615,Poster,Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision,,"Yaojie Liu, Michigan State University; Amin Jourabloo, ; Xiaoming Liu, Michigan State University" +618,Poster,Feedback-prop: Convolutional Neural Network Inference under Partial Evidence,,"Tianlu Wang, 1994; Kota Yamaguchi, CyberAgent, Inc.; Vicente Ordonez, University of Virginia" +619,Poster,A Memory Network Approach for Story-based Temporal Summarization of 360 Videos,,"Sangho Lee, Seoul National University; Jinyoung Sung, Seoul National University; Youngjae Yu, ; Gunhee Kim, Carnegie Mellon University" +620,Poster,Improving Occlusion and Hard Negative Handling for Single-Stage Object Detectors,,"Junhyug Noh, Seoul National University; Soochan Lee, ; Beomsu Kim, ; Gunhee Kim, Carnegie Mellon University" +623,Poster,UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition,,"Jiankang Deng, Imperial College London; Shiyang Cheng, Imperial College London; Niannan Xue, Imperial College London; Yuxiang Zhou, Imperial College; Stefanos Zafeiriou, Imperial College London" +631,Poster,Learning to Act Properly: Predicting and Explaining Affordances from Images,,"Ching-Yao Chuang, University of Toronto; Jiaman Li, University of Toronto; Antonio Torralba, MIT; Sanja Fidler," +632,Poster,Learning a Discriminative Feature Network for Semantic Segmentation,,"Changqian Yu, HUST; Jingbo Wang, Peking University; Chao Peng, Megvii; Changxin Gao, HUST; Gang Yu, Face++; Nong Sang," +633,Poster,Optimizing Video Object Detection via a Scale-Time Lattice,,"Kai Chen, CUHK; Jiaqi Wang, CUHK; Shuo Yang, ; Xingcheng Zhang, CUHK; Yuanjun Xiong, Amazon ; Chen-Change Loy, the Chinese University of Hong Kong; Dahua Lin, CUHK" +642,Poster,ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices,,"Xiangyu Zhang, Megvii Inc; Xinyu Zhou, Megvii Technology Inc.; Mengxiao Lin, Megvii Technology Ltd.(Face++); Jian Sun," +643,Poster,Cascaded Pyramid Network for Multi-Person Pose Estimation,,"Yilun Chen, Beihang University; Zhicheng Wang, Megvii(Face++); Yuxiang Peng, Tsinghua University; Zhiqiang Zhang, HUST; Gang Yu, Face++; Jian Sun," +648,Poster,Seeing Temporal Modulation of Lights from Standard Cameras,,"Naoki Sakakibara, Nagoya Institute of Technology; Fumihiko Sakaue, Nagoya Institute of Technology; JUN SATO, Nagoya Institute of Technology" +649,Poster,Point-wise Convolutional Neural Networks,,"Binh-Son Hua, SUTD; Khoi Tran, SUTD; Sai-Kit Yeung," +671,Poster,Dense 3D Regression for Hand Pose Estimation,,"Chengde Wan, ; Thomas Probst, ; Luc Van Gool, KTH; Angela Yao, University of Bonn" +672,Poster,Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space,,"Tatsuya Yokota, Nagoya Institute of Technology; Burak Erem, ; Seyhmus Guler, ; Simon Warfield, Harvard Medical School; Hidekata Hontani," +673,Poster,Learning Convolutional Networks for Content-weighted Image Compression,,"Mu LI, PolyU; Wangmeng Zuo, Harbin Institute of Technology; Shuhang Gu, ; debin Zhao, ; David Zhang, Hong Kong Polytechnic University" +678,Poster,Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking,,"Qiang Wang, CASIA; Zhu Teng, Beijing Jiaotong University; Junliang Xing, Institute of Automation, Chinese Academy of Sciences; Jin Gao, Institute of Automation, Chinese Academy of Sciences; Weiming Hu," +680,Poster,Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation,,"Kai Li, Chinese Academy of Sciences; Junliang Xing, Institute of Automation, Chinese Academy of Sciences; Chi Su, KingSoft; Weiming Hu, ; Yundong Zhang, Vimicro Corporation; Stephen Maybank, Birkbeck University of London" +683,Poster,First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations,,"Guillermo Garcia-Hernando, Imperial College London; Shanxin Yuan, Imperial College London; Seungryul Baek, Imperial College London; Tae-Kyun Kim, Imperial College London" +695,Poster,Recovering Realistic Texture in Image Super-resolution by Spatial Feature Modulation,,"Xintao Wang, CUHK University; Ke Yu, CUHK; Chao Dong, Sensetime Co. Ltd ; Chen-Change Loy, the Chinese University of Hong Kong" +700,Poster,Cube Padding for Weakly-Supervised Saliency Prediction in 360$^{\circ}$ Videos,,"Hsien-Tzu Cheng, National Tsing Hua University; Chun-Hung Chao, ; Jin-Dong Dong, ; Hao-Kai Wen, ; Tyng-Luh Liu, IIS/Academia Sinica; Min Sun, University of Washington" +710,Poster,A Face to Face Neural Conversation Model,,"Hang Chu, University of Toronto; Sanja Fidler," +711,Poster,SurfConv: Bridging 3D and 2D Convolution for RGBD Images,,"Hang Chu, University of Toronto; Wei-Chiu Ma, MIT; Kaustav Kundu, University of Toronto; Raquel Urtasun, University of Toronto; Sanja Fidler," +717,Poster,Dynamic Video Segmentation Network,,"Yu-Shuan Xu, National Tsing Hua University; Chun-Yi Lee, National Tsing Hua University; TSUJUI FU, NTHUCS; HsuanKung Yang, National Tsing Hua University" +721,Poster,Multiple Granularity Group Interaction Prediction,,"Taiping Yao, Shanghai Jiaotong University; Minsi Wang, Shanghai Jiao Tong University; Huawei Wei, Shanghai Jiao Tong University; Bingbing Ni, ; Xiaokang Yang," +733,Poster,From Lifestyle VLOGs to Everyday Interactions,,"David Fouhey, UC Berkeley; WEICHENG KUO, Berkeley; Alexei Efros, UC Berkeley; Jitendra Malik," +735,Poster,COCO-Stuff: Thing and Stuff Classes in Context,,"Holger Caesar, University of Edinburgh; Jasper Uijlings, Google; Vitto Ferrari," +739,Poster,Non-local Neural Networks,,"Xiaolong Wang, Carnegie Mellon University; Ross Girshick, ; Abhinav Gupta, ; Kaiming He," +740,Poster,Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs,,"Xiaolong Wang, Carnegie Mellon University; Yufei Ye, Carnegie Mellon University; Abhinav Gupta," +756,Poster,End-to-end Recovery of Human Shape and Pose,,"Angjoo Kanazawa, University of Maryland; Michael Black, Max Planck Institute for Intelligent Systems; David Jacobs, University of Maryland; Jitendra Malik," +757,Poster,"Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene",,"Shubham Tulsiani, UC Berkeley; David Fouhey, UC Berkeley; Saurabh Gupta, ; Alexei Efros, UC Berkeley; Jitendra Malik," +759,Poster,Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction,,"Shubham Tulsiani, UC Berkeley; Alexei Efros, UC Berkeley; Jitendra Malik," +762,Poster,A Fast Resection-Intersection Method for the Known Rotation Problem,,"Qianggong Zhang, The University of Adelaide; Tat-Jun Chin, ; Huu Le, The University of Adelaide" +764,Poster,Image Generation from Scene Graphs,,"Justin Johnson, Stanford University; Agrim Gupta, Stanford University; Fei-Fei Li, Stanford University" +766,Poster,PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation,,"Danfei Xu, Stanford Univesity; dragomir Anguelov, Zoox Inc.; Ashesh Jain, Zoox Inc." +769,Poster,Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks,,"Agrim Gupta, Stanford University; Justin Johnson, Stanford University; Fei-Fei Li, Stanford University; Silvio Savarese, ; Alexandre Alahi, EPFL" +784,Poster,Kernelized Subspace Pooling for Deep Local Descriptors,,"Xing Wei, Xi'an Jiaotong University; Yihong Gong, Xi'an Jiaotong University; Yue Zhang, IAIR,Xi'an Jiaotong University; Nanning Zheng, Xi'an Jiaotong University" +786,Poster,Video Rain Removal By Multiscale Convolutional Sparse Coding,,"Li Minghan, Xi'an Jiaotong University; Qi Xie, ; Qian Zhao, ; Wei Wei, Xi'an Jiaotong University; Shuhang Gu, ; Jing Tao, ; Deyu Meng, Xi'an Jiaotong University" +789,Poster,Learning from Millions of 3D Scans for Large-scale 3D Face Recognition,,"Syed Zulqarnain Gilani, The University of Western Aust; Ajmal Mian, UWA" +792,Poster,Referring Relationships,,"Ranjay Krishna, Stanford University; Ines Chami, Stanford University; Michael Bernstein, Stanford University; Fei-Fei Li, Stanford University" +794,Poster,Improving Object Localization with Fitness NMS and Bounded IoU Loss,,"Lachlan Tychsen-Smith, CSIRO (Data61); Lars Petersson," +816,Poster,Learning Dual Convolutional Neural Networks for Low-Level Vision,,"Jinshan Pan, UC Merced; Sifei Liu, ; Deqing Sun, NVIDIA; Jiawei Zhang, City University of Hong Kong; Yang Liu, DUT; Jimmy Ren, SenseTime Group Limited; Zechao Li, Nanjing University of Science and Technology ; Jinhui Tang, ; Huchuan Lu, Dalian University of Technology; Yu-Wing Tai, Tencent YouTu; Ming-Hsuan Yang, UC Merced" +823,Poster,Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation,,"Younghyun Jo, Yonsei University; Seoung Wug Oh, Yonsei Univeristy; JaeYeon Kang, Yonsei Univ.; Seon Joo Kim, Yonsei University" +842,Poster,AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks,,"Tao Xu, Lehigh University; Pengchuan Zhang, ; Qiuyuan Huang, ; Han Zhang, Rutgers; Zhe Gan, ; Xiaolei Huang, Lehigh ; Xiaodong He," +849,Poster,Semantic Visual Localization,,"Johannes Sch_berger, ETH Zurich; Marc Pollefeys, ETH; Andreas Geiger, MPI Tuebingen / ETH Zuerich; Torsten Sattler, ETH Zurich" +851,Poster,Joint Cuts and Matching of Partitions in One Graph,,"Tianshu Yu, Arizona State University; Junchi Yan, Shanghai Jiao Tong University; Jieyi Zhao, University of Texas Health Science Center at Houston; Baoxin Li, Arizona State University" +862,Poster,Crowd Counting via Adversarial Cross-Scale Consistency Pursuit,,"Zan Shen, Institute of Image Communication and Network Engineering, Shanghai Jiao Tong U; Bingbing Ni, ; Yi Xu, Shanghai Jiao Tong University; Minsi Wang, Shanghai Jiao Tong University; jianguo Hu, Minivision; Xiaokang Yang," +888,Poster,Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification,,"Jingya Wang, QMUL; Xiatian Zhu, Vision Semantics Ltd.; Shaogang Gong, Queen Mary University; Wei Li, Queen Mary University of Lond" +890,Poster,CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles,,"Dinesh reddy Narapureddy, Carnegie mellon university; Minh Vo, CMU; Srinivasa Narasimhan, Carnegie Mellon University" +892,Poster,Context-aware Deep Feature Compression for High-speed Visual Tracking,,"Jongwon Choi, ; Hyung Jin Chang, Imperial College London; Tobias Fischer, Imperial College London; Sangdoo Yun, Seoul National University; Jiyeoup Jeong, Seoul National University; kyuewang Lee, Seoul National University; Yiannis Demiris, ; Jin Choi," +894,Poster,Deep Material-aware Cross-spectral Stereo Matching,,"Tiancheng Zhi, Carnegie Mellon University; Bernardo Pires, CMU; Martial Hebert, Carnegie Mellon University; Srinivasa Narasimhan, Carnegie Mellon University" +899,Poster,Deep Extreme Cut: From Extreme Points to Object Segmentation,,"Kevis-Kokitsi Maninis, ETH Zurich; Sergi Caelles, ETH Zurich; Jordi Pont-Tuset, ETHZ; Luc Van Gool, KTH" +908,Poster,Harmonious Attention Network for Person Re-Identication,,"Wei Li, Queen Mary University of Lond; Xiatian Zhu, Vision Semantics Ltd.; Shaogang Gong, Queen Mary University" +910,Poster,Pseudo-Mask Augmented Object Detection,,"Xiangyun Zhao, Northwestern University; Shuang Liang, Tongji University; Yichen Wei, Microsoft Research Asia" +927,Poster,Adversarial Complementary Learning for Weakly Supervised Object Localization,,"Xiaolin Zhang, University of Technology Sydey; Yunchao Wei, ; Jiashi Feng, ; Yi Yang, ; Thomas Huang," +936,Poster,DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map,,"Peng Wang, Baidu; Ruigang Yang, University of Kentucky; Binbin Cao, Baidu; Wei Xu, ; Yuanqing Lin," +944,Poster,Monocular Relative Depth Perception with Web Stereo Data Supervision,,"Ke Xian, Huazhong University of Science and Technology; Chunhua Shen, University of Adelaide; Zhiguo Cao, Huazhong University of Science and Technology; Hao Lu, Huazhong University of Science and Technology; yang xiao, Huazhong University of Science and Technology; Ruibo Li, Huazhong University of Science and Technology; Zhenbo Luo, Samsung Research Beijing" +952,Poster,Objects as context for detecting their semantic parts,,"Abel Gonzalez-Garcia, University of Edinburgh; Davide Modolo, Amazon; Vitto Ferrari," +954,Poster,Camera Style Adaptation for Person Re-identification,,"Zhun Zhong, Xiamen University; Liang Zheng, University of Texas at San Ant; Zhedong Zheng, UTS; Shaozi Li, ; Yi Yang, University of Technology, Sydney" +961,Poster,Conditional Generative Adversarial Network for Structured Domain Adaptation,,"Weixiang Hong, Nanyang Technological Universi; Zhenzhen Wang, Nanyang Technological University; Ming Yang, Horizon Robotics Inc.; Junsong Yuan, Nanyang Technological University" +962,Poster,Rotation-sensitive Regression for Oriented Scene Text Detection,,"Minghui Liao, Huazhong University of Science and Technology; Zhen Zhu, Huazhong University of Science and Technology; Baoguang Shi, Huazhong University of Science and Technology; Gui-Song Xia, Wuhan University; Xiang Bai, Huazhong University of Science and Technology" +963,Poster,Residual Parameter Transfer for Deep Domain Adaptation,,"Artem Rozantsev, EPFL; Mathieu Salzmann, EPFL; Pascal Fua," +978,Poster,Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network,,"Daniel Merget, Technical University of Munich; Matthias Rock, TUM; Rigoll Gerhard, TUM" +985,Poster,PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning,,"Arun Mallya, UIUC; Lana Lazebnik," +1001,Poster,Feature Quantization for Defending Against Distortion of Images,,"Zhun Sun, Tohoku University; Mete Ozay, ; Yan Zhang, RIKEN Center for AIP ; Xing Liu, Tohoku University; Takayuki Okatani, Tohoku University/RIKEN AIP" +1016,Poster,End-to-end weakly-supervised semantic alignment,,"Ignacio ROCCO, Inria; Relja Arandjelovic, DeepMind; Josef Sivic," +1019,Poster,Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts,,"Yizhe Zhu, ; Mohamed Elhoseiny, FAIR; Bingchen Liu, Rutgers; Ahmed Elgammal," +1020,Poster,A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds,,"Tolga Birdal, Technical University of Munich; Benjamin Busam, Framos; Nassir Navab, Technical University of Munich; Slobodan Ilic, Siemens AG; Peter Sturm, INRIA Rhone-Alpes" +1022,Poster,A Benchmark for Articulated Human Pose Estimation and Tracking,,"Mykhaylo Andriluka, MPI Informatics; Umar Iqbal, ; Eldar Insafutdinov, MPI Informatics; Anton Milan, University of Adelaide; Leonid Pishchulin, MPI Informatik; Juergen Gall, University of Bonn, Germany; Bernt Schiele, MPI Informatics Germany" +1024,Poster,Boosting Self-Supervised Learning via Knowledge Transfer,,"Mehdi Noroozi, University of Bern; Ananthachari Kavalkazhani Vinjimoor, UMBC; Hamed Pirsiavash, ; Paolo Favaro, Bern University, Switzerland" +1035,Poster,Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes,,"Xin Yu, Australian National University; Basura Fernando, ANU Canberra Australia; Richard Hartley, Australian National University Australia; Fatih Porikli, NICTA, Australia" +1036,Poster,Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding,,"Dapeng Chen, CUHK; Hongsheng Li, ; Tong Xiao, The Chinese University of HK; Shuai Yi, The Chinese University of Hong Kong; Xiaogang Wang, Chinese University of Hong Kong" +1037,Poster,One-shot Action Localization by Sequence Matching Network,,"Hongtao Yang, Australian National University; Xuming He, ShanghaiTech; Fatih Porikli, NICTA, Australia" +1052,Poster,Efficient Subpixel Refinement with Symbolic Linear Predictors,,"Vincent Lui, Monash University; Jonathon Geeves, Monash University; Winston Yii, Monash University; Tom Drummond, Monash" +1056,Poster,Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning,,"Jongchan Park, KAIST; Joon-Young Lee, ; Donggeun Yoo, Lunit; In So Kweon, KAIST" +1058,Poster,Single Image Reflection Separation with Perceptual Losses,,"Xuaner Zhang, UC Berkeley; Qifeng Chen, Intel Labs" +1067,Poster,Recognize Actions by Disentangling Components of Dynamics,,"Yue Zhao, CUHK; Yuanjun Xiong, Amazon ; Dahua Lin, CUHK" +1078,Poster,Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains,,"Jiahao Pang, SenseTime Group Limited; Wenxiu Sun, SenseTime Group Limited; Chengxi Yang, SenseTime Group Limited; Jimmy Ren, SenseTime Group Limited; Ruichao Xiao, ; Jin Zeng, The Hong Kong University of Science and Technology; Liang Lin," +1082,Poster,Attention-aware Compositional Network for Person Re-Identification,,"Jing Xu, SenseNets Technology Limited; Rui Zhao, SenseNets Technology Limited; Feng Zhu, SenseNets Technology Limited; Huaming Wang, SenseNets Technology Limited; Wanli Ouyang, The University of Sydney" +1083,Poster,HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification,,"Amos Sironi, Prophesee; Manuele Brambilla, Prophesee; Nicolas Bourdis, prophesee; Xavier Lagorce, Prophesee; Ryad Benosman, Universite Pierre et Marie Curie-Paris" +1085,Poster,Mask-guided Contrastive Attention Model for Person Re-Identification,,"Chunfeng Song, CASIA; Yan Huang, ; Wanli Ouyang, ; Liang Wang, unknown" +1103,Poster,A Biresolution Spectral framework for Product Quantization,,"Lopamudra Mukherjee, University of Wisc Whitewater; Sathya Ravi, University of Wisconsin-Madison; Jiming Peng, University of Houston; Vikas Singh, University of Wisconsin-Madison" +1109,Poster,Dynamic Zoom-in Network for Fast Object Detection in Large Images,,"Mingfei Gao, University of Maryland; Ruichi Yu, ; Ang Li, Google DeepMind; Vlad Morariu, University of Maryland; Larry Davis, University of Maryland, USA" +1110,Poster,On the Importance of Label Quality for Semantic Segmentation,,"Aleksandar Zlateski, MIT; ronnachai Jaroensri, Massachusetts Institute of Technology; Prafull Sharma, MIT; Fredo Durand," +1113,Poster,EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry,,"Changha Shin, Yonsei Univ; Hae-Gon Jeon, KAIST; Youngjin Yoon , ; InSo Kweon, ; Seon Joo Kim, Yonsei University" +1114,Poster,A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking,,"M. Saquib Sarfraz, KIT; Arne Schumann, KIT; Andreas Eberle, KIT; Rainer Stiefelhagen, Karlsruhe Institute of Technology" +1118,Poster,Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos,,"Jiaying Liu, Peking University; Wenhan Yang, Peking University; Shuai Yang, Peking University; Zongming Guo," +1124,Poster,Scalable and Effective Deep CCA via Soft Decorrelation,,"Xiaobin Chang, Queen Mary Univ. of London; Tao Xiang, Queen Mary University of London; Timothy Hospedales, University of Edinburgh" +1126,Poster,High-order tensor regularization with application to attribute ranking,,"Kwang In Kim, University of Bath; Juhyun Park, Lancaster University; James Tompkin, Brown University" +1133,Poster,Defocus Blur Detection via Multi-Stream Bottom-Top-Bottom Fully Convolutional Network,,"Wenda Zhao, Dalian University of Technolog; Dong Wang, DUT; Huchuan Lu, Dalian University of Technology" +1134,Poster,Decorrelated Batch Normalization,,"Lei Huang, BeiHang university; Dawei Yang, University of Michigan; Bo Lang, Beihang University; Jia Deng," +1156,Poster,Scale-recurrent Network for Deep Image Deblurring,,"Xin Tao, CUHK; Hongyun Gao, ; Yi Wang, The Chinese University of HK; Xiaoyong Shen, CUHK; Jue Wang, Megvii; Jiaya Jia, Chinese University of Hong Kong" +1162,Poster,Low-Shot Recognition with Imprinted Weights,,"Hang Qi, UCLA; Matthew Brown, ; David Lowe," +1170,Poster,Facelet-Bank for Fast Portrait Manipulation,,"Ying-Cong Chen, CUHK; Lin Huaijia, the Chinese University of Hong Kong; Ruiyu Li, CUHK; Michelle Shu, ; Xin Tao, CUHK; Yangang Ye, Tencent; Xiaoyong Shen, CUHK; Jiaya Jia, Chinese University of Hong Kong" +1172,Poster,Duplex Generative Adversarial Network for Unsupervised Domain Adaptation,,"Lanqing Hu, ICT, CAS; Meina Kan, ; Shiguang Shan, Chinese Academy of Sciences; Xilin Chen," +1173,Poster,Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation,,"Xiaowei Xu, University of Notre Dame; Yiyu Shi, University of Notre Dame; Qing Lu, University of Notre Dame; Lin Yang, University of Notre Dame; Sharon Hu, University of Notre Dame; Danny Chen, University of Notre Dame" +1177,Poster,Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks,,"Shi Xuepeng, ICT; Shiguang Shan, Chinese Academy of Sciences; Meina Kan, ; Shuzhe Wu, Chinese Academy of Sciences; Xilin Chen," +1178,Poster,Structure Preserving Video Prediction,,"Xu Jingwei, Shanghai Jiao Tong University; Bingbing Ni, ; Zefan Li, Shanghai Jiaotong University; Shuo Cheng, SJTU; Xiaokang Yang," +1182,Poster,Tagging Like Humans: Diverse and Distinct Image Annotation,,"Baoyuan Wu, Tencent AI Lab; Weidong Chen, Tencent; Wei Liu, ; Peng Sun, Tencent; Bernard Ghanem, ; Siwei Lyu, SUNY Albany" +1185,Poster,Learning to Sketch with Shortcut Cycle Consistency,,"Jifei Song, Queen Mary, Uni. of London; Kaiyue Pang, QMUL; Yi-Zhe Song, ; Tao Xiang, Queen Mary University of London; Timothy Hospedales, University of Edinburgh" +1186,Poster,GroupCap: Group-based Image Captioning with Structured Relevance and Diversity Constraints,,"Fuhai Chen, Xiamen university; Rongrong Ji, ; Xiaoshuai Sun, Harbin Institute of Technology; Jinsong Su, Xiamen university" +1194,Poster,Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning,,"Xingping Dong, Beijing Institute of Technology; Jianbing Shen, Beijing Institute of Technolog; Wenguan Wang, Beijing Institute of Technology; Yu Liu, Beijing Institute of Technology; Ling Shao, University of East Anglia; Fatih Porikli, NICTA, Australia" +1213,Poster,Augmenting Crowd-Sourced 3D Reconstructions using Semantic Detections,,"True Price, UNC Chapel Hill; Johannes Sch_berger, ETH Zurich; Zhen Wei, University of North Carolina; Marc Pollefeys, ETH; Jan-Michael Frahm, UNC Chapel Hill" +1219,Poster,Visual Relationship Learning with a Factorization-based Prior,,"SEONG JAE HWANG, University of Wisconsin - Madison; Zirui Tao , University of Wisconsin - Madi; Vikas Singh, University of Wisconsin-Madison; Hyunwoo Kim, Amazon Lab 126; Sathya Ravi, University of Wisconsin-Madison; Maxwell Collins," +1224,Poster,Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation,,"Qingchao Chen, Unviersity College London; Yang Liu, University of Cambridge; Zhaowen Wang, Adobe; Ian Wassell, ; Kevin Chetty," +1226,Poster,Flow Guided Recurrent Neural Encoder for Video Salient Object Detection,,"Guanbin Li, ; Yuan Xie, ; Tianhao Wei, ; Liang Lin," +1230,Poster,Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment,,"Amit Kumar, University of Maryland; Rama Chellappa, University of Maryland, USA" +1235,Poster,Progressive Attention Guided Recurrent Network for Salient Object Detection,,"Xiaoning Zhang, Dalian University of Technolog; TIANTIAN WANG, Dalian University of Technolog; Jinqing Qi, ; Huchuan Lu, Dalian University of Technology" +1244,Poster,Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints,,"Reza Mahjourian, University of Texas at Austin; Martin Wicke, Google Brain; Anelia Angelova, Google Brain" +1247,Poster,Repulsion Loss: Detecting Pedestrians in a Crowd,,"Xinlong Wang, Tongji University; Tete Xiao, Peking University; Yuning Jiang, Megvii inc.; Shuai Shao, Megvii; Jian Sun, ; Chunhua Shen, University of Adelaide" +1248,Poster,PU-Net: Point Cloud Upsampling Network,,"Lequan Yu, The Chinese University of Hong; XIANZHI LI, CUHK; Chi-Wing Fu, ; Daniel Cohen-Or, ; Pheng-Ann Heng," +1251,Poster,PiCANet: Learning Pixel-wise Contextual Attention for Saliency Detection,,"Nian Liu, Northwestern Polytechnical University; Junwei Han, Northwestern Polytechnical U.; Ming-Hsuan Yang, UC Merced" +1252,Poster,Gated Fusion Network for Single Image Dehazing,,"Wenqi Ren, Chinese Academy of Sciences; Lin Ma, Tencent AI Lab; Jiawei Zhang, City University of Hong Kong; Jinshan Pan, UC Merced; Xiaochun Cao, Chinese Academy of Sciences; Wei Liu, ; Ming-Hsuan Yang, UC Merced" +1258,Poster,Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks,,"Ping Wei, Xi'an Jiaotong University; Yang Liu, UCLA; Tianmin Shu, University of California, Los Angeles; Nanning Zheng, Xi'an Jiaotong University; Song-Chun Zhu," +1264,Poster,End-to-end Flow Correlation Tracking with Spatial-temporal Attention,,"Zheng Zhu, Institute of Automation, CAS; Wei Wu, ; Wei Zou, ; Junjie Yan," +1271,Poster,Left/Right Asymmetric Layer Skippable Networks,,"Changmao Cheng, Fudan University; Yanwei Fu, fudan; Yu-Gang Jiang, Fudan University; Wei Liu, ; wenlian Lu, Fudan; Jianfeng Feng, fudan university; Xiangyang Xue," +1282,Poster,RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints,,"Asako Kanezaki, National Institute of Advanced; Yasuyuki Matsushita, Osaka University; Yoshifumi Nishida, National Institute of Advanced Industrial Science and Technology (AIST)" +1288,Poster,Edit Probability for Scene Text Recognition,,"Fan Bai, Fudan University; Zhanzhan Cheng, Hikvision Research Institute; Yi Niu, Hikvision Research Institute; Shiliang Pu, ; Shuigeng Zhou, Fudan University" +1290,Poster,Exploit the Unknown Gradually:~ One-Shot Video-Based Person Re-Identification by Stepwise Learning,,"Yu Wu, University of technology sydne; Yutian Lin, ; Xuanyi Dong, UTS; Yan Yan, UTS; Wanli Ouyang, The University of Sydney; Yi Yang," +1294,Poster,Learning to Localize Sound Source in Visual Scenes,,"Arda Senocak, KAIST; Junsik Kim, Korea Advanced Institute of Science and Technology (KAIST); Tae-Hyun Oh, MIT; Ming-Hsuan Yang, UC Merced; In So Kweon, KAIST" +1296,Poster,Dynamic Few-Shot Visual Learning without Forgetting,,"Spyros Gidaris, Ecole des Ponts ParisTech ; Nikos Komodakis," +1303,Poster,Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features,,"Xiang Wang, Tsinghua University; Shaodi You, Data61; Xi Li, Tsinghua University; Huimin Ma, Tsinghua University" +1304,Poster,SINT++: Robust Visual Tracking via Adversarial Hard Positive Generation,,"Xiao Wang, Anhui university; Chenglong Li, Anhui University; Bin Luo, ; Jin Tang," +1308,Poster,Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer,,"Amir Atapour-Abarghouei, Durham University; Toby Breckon, Durham University" +1315,Poster,Fast and Accurate Single Image Super-Resolution via Information Distillation Network,,"Zheng Hui, Xidian university; Xiumei Wang, Xidian university; Xinbo Gao," +1320,Poster,Domain Adaptive Faster R-CNN for Object Detection in the Wild,,"Yuhua Chen, CVL@ETHZ; Wen Li, ETH; Luc Van Gool, KTH" +1335,Poster,Imagination-IQA: No-reference Image Quality Assessment via Adversarial Learning,,"Kwan-Yee Lin, Peking University" +1342,Poster,Memory Matching Networks for One-Shot Image Recognition,,"Qi Cai, University of Science and Technology of China; Yingwei Pan, University of Science and Technology of China; Ting Yao, Microsoft Research Asia; Chenggang Yan, Hangzhou Dianzi University, China; Tao Mei, Microsoft Research Asia" +1343,Poster,3D Human Pose Estimation in the Wild by Adversarial Learning,,"Wei Yang, The Chinese University of Hong Kong ; Wanli Ouyang, The University of Sydney; Xiaolong Wang, Carnegie Mellon University; Xiaogang Wang, Chinese University of Hong Kong" +1350,Poster,Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective,,"Suryansh Kumar, Australian National University; Anoop Cherian, ; Yuchao Dai, Australian National University; Hongdong Li, Australian National University" +1352,Poster,IQA: Visual Question Answering in Interactive Environments,,"Daniel Gordon, University of Washington; Ali Farhadi, ; Aniruddha Kembhavi, Allen Institute for Artificial Intelligence; Dieter Fox, University of Washington; Mohammad Rastegari, AI2; Joe Redmon, University of Washington" +1353,Poster,Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking,,"Feng Li, Harbin Institute of Technology; Cheng Tian, Harbin Institute of Technology; Wangmeng Zuo, Harbin Institute of Technology; Lei Zhang, The Hong Kong Polytechnic University; Ming-Hsuan Yang, UC Merced" +1360,Poster,Deep Regression Forests for Age Estimation,,"Wei Shen, Shanghai University; Yilu Guo, Shanghai University; Yan Wang, JHU; KAI ZHAO, Nankai University; Bo Wang, HikVision USA Inc.; Alan Yuille," +1366,Poster,A Bi-directional Message Passing Model for Salient Object Detection,,"Lu Zhang, Dalian University of Technolog; Ju Dai, Dalian University of Technolog; Huchuan Lu, Dalian University of Technology; You He, ; Gang Wang," +1369,Poster,Transductive Unbiased Embedding for Zero-Shot Learning,,"Jie Song, Zhejiang University; Chengchao Shen, Zhejiang University; Yezhou Yang, Arizona State University; Yang Liu, ; Mingli Song, Zhejiang University" +1376,Poster,Scale-Transferrable Object Detection,,"Peng Zhou, Sjtu; Bingbing Ni, ; Cong Geng, sjtu; jianguo Hu, Minivision; Yi Xu, Shanghai Jiao Tong University" +1378,Poster,Crowd Counting with Deep Negative Correlation Learning,,"Zenglin Shi, University of Bern; Le Zhang, Advanced Digital Sciences Cent; XiaoFeng Cao, university of technology sydney; Yun Liu, Nankai University; yangdong Ye, Zhengzhou University, China; Guoyan Zheng, University of Bern" +1381,Poster,Deep Cauchy Hashing for Hamming Space Retrieval,,"Yue Cao, Tsinghua University; Mingsheng Long, Tsinghua University; Bin Liu, Tsinghua University; Jianmin Wang," +1387,Poster,Demo2Vec: Reasoning Object Affordances from Online Videos,,"Te-Lin Wu, USC; Kuan Fang, Stanford University; Daniel Yang, University of Southern California; Joseph Lim, University of Southern California" +1389,Poster,GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition,,"Yifan Feng, Xidian university; Zizhao Zhang, ; xibin Zhao, ; Rongrong Ji, ; Yue Gao, Tsinghua University" +1390,Poster,An End-to-End TextSpotter with Explicit Alignment and Attention,,"Tong He, The University of Adelaide; Zhi Tian, SIAT, CAS; Weilin Huang, The University of Oxford; Chunhua Shen, University of Adelaide; Yu Qiao, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Changming Sun, CSIRO Data61" +1392,Poster,Stereoscopic Neural Style Transfer,,"Dongdong Chen, ; Lu Yuan, Microsoft Research Asia; Jing Liao, ; Nenghai Yu, ; Gang Hua, Microsoft Research" +1401,Poster,Bootstrapping the Performance of Webly Supervised Semantic Segmentation,,"Tong Shen, The University of Adelaide; Guosheng Lin, Nanyang Technological Universi; Chunhua Shen, University of Adelaide; Ian Reid," +1408,Poster,Learning Markov Clustering Networks for Scene Text Detection,,"ZICHUAN LIU, Nanyang Technological Universi; Guosheng Lin, Nanyang Technological Universi; Sheng Yang, Nanyang Technological University; Jiashi Feng, ; Weisi Lin, Nanyang Technological University; Wangling Goh, Nanyang Technological University" +1428,Poster,Reflection Removal for Large-Scale 3D Point Clouds,,"Jae-Seong Yun, UNIST; Jae-Young Sim, UNIST" +1432,Poster,Pose Transferrable Person Re-Identification,,"Jinxian Liu, Shanghai Jiao Tong University; Yichao Yan, Shanghai Jiao Tong University; Bingbing Ni, ; Peng Zhou, Sjtu; Shuo Cheng, SJTU; jianguo Hu, Minivision" +1439,Poster,Efficient Diverse Ensemble for Discriminative Co-Tracking,,"Kourosh Meshgi, Kyoto University; Shigeyuki Oba, Kyoto University; Shin Ishii, Kyoto University" +1440,Poster,Learning a Single Convolutional Super-Resolution Network for Multiple Degradations,,"Kai Zhang, Harbin Institute of Technology; Wangmeng Zuo, Harbin Institute of Technology; Lei Zhang, The Hong Kong Polytechnic University" +1443,Poster,Probabilistic Plant Modeling via Multi-View Image-to-Image Translation,,"Takahiro Isokane, Osaka university; Fumio Okura, Osaka University; Ayaka Ide, Osaka University; Yasuyuki Matsushita, Osaka University; Yasushi Yagi, Osaka University" +1446,Poster,Learning to Parse Wireframes in Images of Man-Made Environments,,"Kun Huang, Shanghaitech University; Yifan Wang, ShanghaiTech University; Zihan Zhou, Penn State University; Tianjiao Ding, ; Shenghua Gao, ShanghaiTech University; Yi Ma, EECS, UC Berkeley" +1462,Poster,Towards a Mathematical Understanding of the Difficulty in Learning with Feedforward Neural Networks,,"Hao Shen, Fortiss GmbH" +1467,Poster,Weakly-supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation,,"Yong Zhang, CASIA; Weiming Dong, ; Bao-Gang Hu, CASIA; Qiang Ji, RPI" +1487,Poster,The power of ensembles for active learning in image classification,,"William Beluch, Bosch Center for Artificial Intelligence; Tim Genewein, Robert Bosch Center for AI; Andreas N_nberger, Otto-von-Guericke-Universit_ Magdeburg ; Jan K_ler, Bosch Center for AI" +1493,Poster,Memory Based Online Learning of Deep Representations from Video Streams,,"Federico Pernici, MICC University of Florence; federico Bartoli, Micc - University of Florence; Matteo Bruni, Micc - University of Florence; Alberto Del Bimbo, University of Florence" +1494,Poster,Correlation Tracking via Joint Discrimination and Reliability Learning,,"Chong Sun, DalianUniversityofTechnology; Dong Wang, DUT; Huchuan Lu, Dalian University of Technology; Ming-Hsuan Yang, UC Merced" +1497,Poster,Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks,,"Wei Xiong, University of Rochester; Wenhan Luo, Tencent AI Lab; Lin Ma, Tencent AI Lab; Wei Liu, ; Jiebo Luo, University of Rochester" +1501,Poster,Learning Discriminative Evaluation Metrics for Image Captioning,,"Yin Cui, CornellTech; Guandao Yang, Cornell University; Andreas Veit, Cornel Tech ; Xun Huang, ; Serge Belongie," +1502,Poster,Large Scale Fine-Grained Categorization and the Effectiveness of Domain-Specific Transfer Learning,,"Yin Cui, CornellTech; Yang Song, Google; Chen Sun, Google; Andrew Howard, Google; Serge Belongie," +1508,Poster,Curve Reconstruction via the Global Statistics of Natural Curves,,"Ehud Barnea, Ben-Gurion University; Ohad Ben-Shahar, Ben-Gurion University" +1517,Poster,LAMV: Learning to align and match videos with kernelized temporal layers,,"Lorenzo Baraldi, University of Modena; Matthijs Douze, ; Rita Cucchiara, ; Herve Jegou, Facebook AI Research" +1522,Poster,Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment,,"Li Ding, MIT; Chenliang Xu, University of Rochester" +1524,Poster,Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers,,"Stephan Richter, TU Darmstadt; Stefan Roth," +1531,Poster,Deep Semantic Face Deblurring,,"Ziyi Shen, Beijing Institute of Technology; Wei-Sheng Lai, University of California, Merced; Tingfa Xu, Beijing Institute of Technology; Jan Kautz, NVIDIA; Ming-Hsuan Yang, UC Merced" +1539,Poster,Visual to Sound: Generating Natural Sound for Videos in the Wild,,"Yipin Zhou, UNC-Chapel Hill; Zhaowen Wang, Adobe; Chen Fang, Adobe Research; Trung Bui, ; Tamara Berg, University on North carolina" +1543,Poster,Deep Reinforcement Learning of Region Proposal Networks for Object Detection,,"Aleksis Pirinen, Lund University; Cristian Sminchisescu," +1549,Poster,When will you do what? - Anticipating Temporal Occurrences of Activities,,"Alexander Richard, University of Bonn; Juergen Gall, University of Bonn, Germany; Yazan Abu Farha, University of Bonn" +1550,Poster,Pixel-Wise Metric Learning for Blazingly Fast Video Object Segmentation,,"Yuhua Chen, CVL@ETHZ; Jordi Pont-Tuset, ETHZ; Alberto Montes, ETHZ; Luc Van Gool, KTH" +1552,Poster,Global versus Localized Generative Adversarial Nets,,"Guo-Jun Qi, University of Central Florida; Liheng Zhang, University of Central Florida; Hao Hu, University of Central Florida" +1562,Poster,Name-removed-for-review: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection,,"Tatjana Chavdarova, Idiap and EPFL; Pierre Baqu, EPFL; Andrii Maksai, ; ST_HANE BOUQUET, EPFL; Cijo Jose, Idiap and EPFL; Louis Lettry, ETH Z_ich; Francois Fleuret, Idiap Research Institute; Pascal Fua, ; Luc Van Gool, KTH" +1564,Poster,DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection under Partial Occlusion,,"Zhishuai Zhang, Johns Hopkins University; Cihang Xie, JHU; Jianyu Wang, ; Lingxi Xie, UCLA; Alan Yuille, JHU" +1565,Poster,Data Distillation: Towards Omni-Supervised Learning,,"Ilija Radosavovic, Facebook AI Research; Piotr Dollar, Facebook AI Research, Menlo Park, USA; Ross Girshick, ; Georgia Gkioxari, Facebook; Kaiming He," +1573,Poster,Neighbors Do Help: Deeply Exploiting Local Structures of Point Clouds,,"Yiru Shen, Clemson University; Chen Feng, MERL; Yaoqing Yang, Carnegie Mellon University; Dong Tian, Mitsubishi Electric Research Laboratories" +1575,Poster,Controllable Video Generation with Sparse Trajectories,,"Zekun Hao, ; Xun Huang, ; Serge Belongie," +1590,Poster,Low-shot learning with large-scale diffusion,,"Matthijs Douze, ; Arthur Szlam, Facebook AI Research; Bharath Hariharan, Cornell University; Herve Jegou, Facebook AI Research" +1598,Poster,Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks,,"Dinesh Jayaraman, UT Austin ; Kristen Grauman," +1607,Poster,Direct Shape Regression Networks for End-to-End Face Alignment,,"Xin Miao, UT Arlington; Xiantong Zhen, Beihang University; Vassilis Athitsos, University of Texas at Arlington; Xianglong Liu, Beihang University; Cheng Deng, Xidian University; Heng Huang, University of Pittsburgh" +1620,Poster,Multi-scale Location-aware Kernel Representation for Object Detection,,"Hao Wang, Harbin Institute of Technology; Qilong Wang, ; Mingqi Gao, Harbin Institute of Technology; Peihua Li, ; Wangmeng Zuo, Harbin Institute of Technology" +1622,Poster,MoCoGAN: Decomposing Motion and Content for Video Generation,,"Sergey Tulyakov, ; Ming-Yu Liu, NVIDIA; Xiaodong Yang, NVIDIA; Jan Kautz, NVIDIA" +1630,Poster,Joint Pose and Expression Modeling for Facial Expression Recognition,,"Feifei Zhang, Jiangsu University; Tianzhu Zhang, CASIA; Qirong Mao, Department of Computer Science and Communication Engineering, Jiangsu University; Changsheng Xu," +1632,Poster,Triplet-Center Loss for Multi-View 3D Object Retrieval,,"Xinwei He, HUST; Yang Zhou, Huazhong University of Science and Technology; Zhichao Zhou, Huazhong University of Science and Technology; Song Bai, HUST; Xiang Bai, Huazhong University of Science and Technology" +1635,Poster,Beyond Holistic Object Recognition: Enriching Image Understanding with Part States,,"Cewu Lu, Shanghai Jiao Tong University; hao Su, ; CK Tang, HKUST" +1640,Poster,Recurrent Residual Module for Fast Inference in Videos,,"Bowen Pan, Shanghai Jiao Tong University; Wuwei Lin, Shanghai Jiao Tong University; Xiaolin Fang, Zhejiang University; Chaoqin Huang, Shanghai Jiaotong University; Bolei Zhou, Massachuate Institute of Technology; Cewu Lu, Shanghai Jiao Tong University" +1653,Poster,Geometry-Aware Scene Text Detection with Instance Transformation Network,,"Fangfang Wang, Zhejiang University; Liming Zhao, Zhejiang University; Xi Li, Zhejiang University; Xinchao Wang, ; Dacheng Tao, University of Sydney" +1664,Poster,Temporal Hallucinating for Action Recognition with Few Still Images,,"Lei Zhou, ; Yali Wang, SIAT, CAS; Yu Qiao, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences" +1672,Poster,Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons,,"Edward Kim, ; Darryl Hannan, ; Garrett Kenyon," +1679,Poster,Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes,,"Weihong Ren, City University of Hong Kong; Di Kang, ; Yandong Tang, Shenyang Institute of Automation, Chinese Academy of Sciences; Antoni Chan, City University of Hong Kong, Hong Kong" +1696,Poster,Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis,,"Seunghoon Hong, POSTECH; Dingdong Yang, University of Michigan; Jongwook Choi, University of Michigan; Honglak Lee, University of Michigan, USA" +1704,Poster,Deep Marching Cubes: Learning Explicit Surface Representations,,"Yiyi Liao, Zhejiang University; Simon Donn, Ghent University; Andreas Geiger, MPI Tuebingen / ETH Zuerich" +1708,Poster,Learning 3D Shape Completion from Point Clouds with Weak Supervision,,"David Stutz, MPI Saarbruecken; Andreas Geiger, MPI Tuebingen / ETH Zuerich" +1716,Poster,A General Two-Step Quantization Approach for Low-bit Neural Networks with High Accuracy,,"Peisong Wang, CASIA; Qinghao Hu, Chinese Academy of Sciences; Yifan Zhang, CASIA; Jian Cheng, Chinese Academy of Sciences" +1717,Poster,Clinical Skin Lesion Diagnosis using Representations Inspired by Dermatologist Criteria,,"Jufeng Yang, Nankai University; Xiaoxiao Sun, ; Jie Liang, ; Paul Rosin," +1720,Poster,Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition,,"Jinmian Ye, University of Electronic Science and Technology of China; Linnan Wang, Brown; Guangxi Li, UESTC; Di Chen, ; Shandian Zhe, School of Computing, University of Utah; Zenglin Xu, University of Electronic Science and Technology of China" +1736,Poster,Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition,,"Yansong Tang, Tsinghua University; Yi Tian, ; Peiyang Li, ; Jiwen Lu, Tsinghua University; Jie Zhou," +1738,Poster,Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present,,"Xinpeng Chen, Wuhan University; Lin Ma, Tencent AI Lab; Wenhao Jiang, Tencent AI Lab; Jian Yao, ; Wei Liu," +1746,Poster,Dimensionalitys Blessing: Detecting the distributions underlying images,,"Wen-Yan Lin, ADSC; Yasuyuki Matsushita, Osaka University; Siying Liu, I2r.a-star.edu.sg; Jianhuang Lai, Sun Yat-sen University" +1757,Poster,Learning to Promote Saliency Detectors,,"Yu Zeng, Dalian University of Technology; Huchuan Lu, Dalian University of Technology; Lihe Zhang, Dalian University of Technology; Mengyang Feng, DUT, student; Ali Borji, UCF" +1761,Poster,Fully Convolutional Adaptation Networks for Semantic Segmentation,,"Yiheng Zhang, University of Science and Technology of China; Zhaofan Qiu, University of Science and Technology of China; Ting Yao, Microsoft Research Asia; Dong Liu, Univ Sci Tech China; Tao Mei, Microsoft Research Asia" +1765,Poster,Object Referring in Videos with Language and Human Gaze,,"Arun Balajee Vasudevan , ETH Zurich; Dengxin Dai, ETH Zurich; Luc Van Gool, KTH" +1773,Poster,Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images,,"Mahdi Rad, TUG; Markus Oberweger, ; Vincent Lepetit, TU Graz" +1790,Poster,Deep PhaseNet for Video Frame Interpolation,,"Simone Meyer, ETH Zurich; Abdelaziz Djelouah, The Walt Disney Company; Christopher Schroers, Disney Research Zurich; Brian McWilliams, ; Alexander Sorkine-Hornung, ; Markus Gross," +1792,Poster,Non-blind Deblurring: Handling Kernel Uncertainty with CNNs,,"Subeesh Vasu, IIT Madras; Venkatesh Reddy Maligireddy, IIT Madras; A.N. Rajagopalan, IIT Madras" +1797,Poster,CosFace: Large Margin Cosine Loss for Deep Face Recognition,,"Hao Wang, ; Yitong Wang, Tencent AI Lab; Zheng Zhou, ; xing Ji, ; Dihong Gong, ; Zhifeng Li, ; Jingchao Zhou, ; Wei Liu," +1799,Poster,Lightweight Probabilistic Deep Networks,,"Jochen Gast, TU Darmstadt; Stefan Roth," +1800,Poster,Occlusion-Aware Rolling Shutter Rectification of 3D Scenes,,"Subeesh Vasu, IIT Madras; Mahesh Mohan M R, IIT Madras; A.N. Rajagopalan, IIT Madras" +1815,Poster,CRRN: Multi-Scale Guided Concurrent Reflection Removal Network,,"Renjie Wan, Nanyang Technological Universi; Boxin Shi, Peking University; Ling-Yu Duan, ; Ah-Hwee Tan, ; Alex Kot," +1817,Poster,Natural and Effective Obfuscation by Head Inpainting,,"Qianru Sun, MPI for Informatics; Liqian Ma, KU Leuven; Seong Joon Oh, MPI-INF; Mario Fritz, MPI, Saarbrucken, Germany; Luc Van Gool, KU Leuven; Bernt Schiele, MPI Informatics Germany" +1838,Poster,What do Deep Networks Like to See?,,"Sebastian Palacio, DFKI; Joachim Folz, DFKI; Andreas Dengel, DFKI; J_n Hees, DFKI; Federico Raue, DFKI" +1860,Poster,Person Re-identification with Cascaded Pairwise Convolutions,,"Yicheng Wang, ; Zhenzhong Chen, Wuhan University; Feng Wu, ; Gang Wang," +1877,Poster,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Network,,"Shuang Ma, SUNY Buffalo; Jianlong Fu, ; Chang Chen, ; Tao Mei, Microsoft Research Asia" +1880,Poster,Deep Cocktail Networks: Multi-source Unsupervised Domain Adaptation with Category Shift,,"Ruijia Xu, Sun Yat-sen University; Ziliang Chen, Sun Yat-sen University; Wangmeng Zuo, Harbin Institute of Technology; Junjie Yan, ; Liang Lin," +1887,Poster,Unsupervised Domain Adaptation with Similarity-Based Classifier,,"Pedro Pinheiro, EPFL" +1893,Poster,Tags2Parts: Discovering Semantic Regions from Shape Tags,,"Sanjeev Muralikrishnan, IIT Bombay; Vladimir Kim, Adobe Research; Siddhartha Chaudhuri, IIT Bombay" +1895,Poster,A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation,,"Kang Wang, RPI; Rui Zhao, Rensselaer Polytechnic Institu; Qiang Ji, RPI" +1904,Poster,Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks,,"Nick Johnston, Google; Damien Vincent, google.com; David Minnen, google.com; Michele Covell, google.com; Saurabh Singh, Univ. of Illinois at Urbana-Champaign; Sung Jin Hwang, google.com; George Toderici, Google; Troy Chinen, google.com; Joel Shor, google.com" +1910,Poster,Neural Sign Language Translation,,"Necati Cihan Camgoz, CVSSP; Simon Hadfield, ; Richard Bowden, University of Surrey UK; Oscar Koller, ; Hermann Ney," +1914,Poster,3D Pose Estimation and 3D Model Retrieval for Objects in the Wild,,"Alexander Grabner, Graz University of Technology; Peter Roth, Graz University of Technology; Vincent Lepetit, TU Graz" +1915,Poster,Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs,,"Loic Landrieu, IGN; Martin Simonovsky, Universite Paris Est, ENPC" +1924,Poster,Motion-Appearance Co-Memory Networks for Video Question Answering,,"Jiyang Gao, ; Runzhou Ge, Univ. of Southern California; Kan Chen, Univ. of Southern California; Ram Nevatia," +1925,Poster,Temporal Deformable Residual Networks for Action Segmentation in Videos,,"Peng Lei, Oregon State University; Sinisa Todorovic," +1931,Poster,Spatially-Adaptive Filter Units for Deep Neural Networks,,"Domen Tabernik, University of Ljubljana; Matej Kristan, University of Ljubljana; Ales Leonardis, University of Birmingham, UK" +1939,Poster,Boundary Flow: A Siamese Network that Predicts Boundary Motion without Training on Motion,,"Peng Lei, Oregon State University; Fuxin Li, Oregon State University; Sinisa Todorovic," +1944,Poster,DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks,,"Orest Kupyn, Ukrainian Catholic University; Volodymyr Budzan, Ukrainian Catholic University; Mykola Mykhailych, UCU; Dmytro Mishkin, Czech Technical University; Jiri Matas," +1946,Poster,Discriminability objective for training descriptive captions,,"Ruotian Luo, Toyota Technological Institute; Scott Cohen, ; Brian Price, ; Greg Shakhnarovich," +1949,Poster,Rolling Shutter and Radial Distortion are Features for High Frame Rate Multi-camera Tracking,,"Akash Bapat, UNC Chapel Hill; Jan-Michael Frahm, UNC Chapel Hill; True Price, UNC Chapel Hill" +1960,Poster,Learning Deep Sketch Abstraction,,"Umar Riaz Muhammad, Queen Mary Uni of London; Yongxin Yang, Queen Mary University of London; Yi-Zhe Song, ; Tao Xiang, Queen Mary University of London; Timothy Hospedales, University of Edinburgh" +1981,Poster,Learning to See in the Dark,,"Chen Chen, UIUC; Qifeng Chen, Intel Labs; Jia Xu, Tencent AI Lab; Vladlen Koltun, Intel Labs" +1989,Poster,Eliminating Background-bias for Robust Person Re-identification,,"Maoqing Tian, Sensetime Limited; Shuai Yi, The Chinese University of Hong Kong; Hongsheng Li, ; Shihua Li, ; Xuesen Zhang, SenseTime; Jianping Shi, SenseTime; Junjie Yan, ; Xiaogang Wang, Chinese University of Hong Kong" +1990,Poster,Uncalibrated Photometric Stereo under Natural Illumination,,"Zhipeng Mo, ; Boxin Shi, Peking University; Feng Lu, U. Tokyo; Sai-Kit Yeung, ; Yasuyuki Matsushita, Osaka University" +1991,Poster,A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping,,"Debang Li, CASIA; Huikai Wu, CASIA; Junge Zhang, ; Kaiqi Huang," +2013,Poster,Weakly Supervised Action Localization by Sparse Temporal Pooling Network,,"Phuc Nguyen, University of California, Irvine; Ting Liu, Google, Inc.; Gautam Prasad, Google, Inc.; Bohyung Han, Seoul National University" +2018,Poster,Very Large-Scale Global SfM by Distributed Motion Averaging,,"Siyu Zhu, HKUST; Runze Zhang, HKUST; Lei Zhou, HKUST; Tianwei Shen, HKUST; Tian Fang, HKUST; Ping Tan, ; Long Quan, The Hong Kong University of Science and Technology, Hong Kong" +2021,Poster,ID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis,,"Yujun Shen, Dept. of IE, CUHK; Ping Luo, The Chinese University of Hong Kong; Junjie Yan, ; Xiaogang Wang, Chinese University of Hong Kong; Xiaoou Tang, Chinese University of Hong Kong" +2040,Poster,DVQA: Understanding Data Visualization via Question Answering,,"Kushal Kafle, ; Brian Price, ; Scott Cohen, ; Christopher Kanan, RIT" +2048,Poster,Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation,,"Kyungdon Joo, ; Tae-Hyun Oh, MIT; In So Kweon, KAIST; Jean-Charles Bazin, KAIST" +2064,Poster,End-to-end Convolutional Semantic Embeddings,,"Quanzeng You, Microsoft; Zhengyou Zhang, Microsoft Research; Jiebo Luo, University of Rochester" +2089,Poster,Visual Question Answering with Memory-Augmented Networks,,"Chao Ma, ; Chunhua Shen, University of Adelaide; Anthony Dick, University of Adelaide; Qi Wu, University of Adelaide; Peng Wang, The University of Adelaide; Anton Van den Hengel, University of Adelaide; Ian Reid," +2097,Poster,MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition,,"Yizhou Zhou, Univ of Scienc.&Tech. of China; Xiaoyan Sun, Microsoft; Zheng-Jun Zha, ; Wenjun Zeng," +2102,Poster,Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds,,"Ran Yi, Tsinghua University; Yong-Jin Liu, ; Yu-Kun Lai, Cardiff University" +2111,Poster,3D Semantic Trajectory Reconstruction from 3D Pixel Continuum,,"Jae Yoon, ; Ziwei Li, UMN; Hyun Park," +2123,Poster,Feature Selective Networks for Object Detection,,"Yao Zhai, University of Science and Technology of China; Jingjing Fu, ; Yan Lu, ; Houqiang Li," +2129,Poster,High-speed Tracking with Multi-kernel Correlation Filters,,"Ming Tang, NLPR, IA, CAS; Bin Yu, NLPR, IA, CAS; Fan Zhang, BUPT; Jinqiao Wang," +2131,Poster,Semantic Video Segmentation by Gated Recurrent Flow Propagation,,"David Nilsson, Lund University; Cristian Sminchisescu," +2135,Poster,A Constrained Deep Neural Network for Ordinal Regression,,"Yanzhu Liu, Nanyang Technological Universi; Adams Kong, NTU Singapore ; Chi Keong Goh, Rolls-Royce Advanced Technology Centre" +2136,Poster,Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction,,"Yanyu Xu, Shanghaitech University; Zhixin Piao, ; Shenghua Gao, ShanghaiTech University" +2138,Poster,Spline Error Weighting for Robust Visual-Inertial Fusion,,"Hannes Ovr_, Link_ing University; Per-Erik Forssen, Linkoping University" +2139,Poster,Mean-Variance Loss for Deep Age Estimation from a Face,,"Hongyu Pan, Institute of Computing Technol; Hu Han, ; Shiguang Shan, Chinese Academy of Sciences; Xilin Chen," +2152,Poster,Pose-Robust Face Recognition via Deep Residual Equivariant Mapping,,"Kaidi Cao, Tsinghua University; Yu Rong, CUHK; Cheng Li, SenseTime; Chen-Change Loy, the Chinese University of Hong Kong" +2162,Poster,Statistical Tomography of Microscopic Life,,"Aviad Levis, Technion Institute of Technology; Ronen Talmon, Technion - Israel Institute of Technology; Yoav Schechner, Technion Haifa, Israel" +2165,Poster,Divide and Conquer for Full-Resolution Light Field Deblurring,,"Mahesh Mohan M R, IIT Madras; A.N. Rajagopalan, IIT Madras" +2172,Poster,Conditional Probability Models for Deep Image Compression,,"Eirikur Agustsson, ETH Zurich; Fabian Mentzer, ETHZ Z_ich; Michael Tschannen, ETH Zurich; Radu Timofte, ETH Zurich; Luc Van Gool, KTH" +2195,Poster,Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification,,"Xiang Long, Tsinghua University; Chuang Gan, Tsinghua University; Gerard De Melo, Rutgers University; Jiajun Wu, MIT; Xiao Liu, ; Shilei Wen, Baidu Research" +2198,Poster,Occluded Pedestrian Detection through Guided Attention in CNNs,,"Shanshan Zhang, MPI; Jian Yang, Nanjing University of Science and Technology; Bernt Schiele, MPI Informatics Germany" +2205,Poster,CartoonGAN: Generative Adversarial Networks for Photo Cartoonization,,"Yang Chen, Tsinghua University; Yu-Kun Lai, Cardiff University; Yong-Jin Liu," +2225,Poster,Conditional Image-to-Image Translation,,"Jianxin Lin, USTC; Yingce Xia, ; Tao Qin, ; Zhibo Chen, ; Tie-Yan Liu," +2231,Poster,Human Appearance Transfer,,"Mihai Zanfir, IMAR and Lund University ; Alin-Ionut Popa, IMAR; Andrei Zanfir, IMAR and Lund University; Cristian Sminchisescu," +2235,Poster,Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes,,"Elisabeta Marinoiu, IMAR and Lund University; Andrei Zanfir, IMAR and Lund University; Cristian Sminchisescu," +2236,Poster,Egocentric Basketball Motion Planning from a Single First-Person Image,,"Gedas Bertasius, University of Pennsylvania; Aaron Chan, U. of Southern California; Jianbo Shi, University of Pennsylvania, USA" +2237,Poster,SGAN: An Alternative Training of Generative Adversarial Networks,,"Tatjana Chavdarova, Idiap and EPFL; Francois Fleuret, Idiap Research Institute" +2240,Poster,3D Human Pose Reconstruction and Action Classification in Robot Assisted Therapy of Children with Autism,,"Elisabeta Marinoiu, IMAR and Lund University; Mihai Zanfir, IMAR and Lund University ; Vlad Olaru, ; Cristian Sminchisescu," +2253,Poster,Zero-Shot Super-Resolution using Deep Internal Learning,,"Assaf Shocher, Weizmann institut of Science; Michal Irani, Weizmann Institute of Science; Nadav Cohen, Institute for Advanced Study" +2257,Poster,Deep Diffeomorphic Transformer Networks,,"Nicki Skafte Detlefsen, DTU; Oren Freifeld, Ben-Gurion University; Soren Hauberg, Technical University of Denmark" +2260,Poster,Single Image Dehazing via Conditional Generative Adversarial Network,,"Runde Li, NJUST; Jinshan Pan, UC Merced; Zechao Li, Nanjing University of Science and Technology ; Jinhui Tang," +2268,Poster,"Detect globally, refine locally: A novel approach to saliency detection",,"TIANTIAN WANG, Dalian University of Technolog; Lihe Zhang, Dalian University of Technology; Huchuan Lu, Dalian University of Technology; Ali Borji, UCF" +2285,Poster,Improving Landmark Localization with Semi-Supervised Learning,,"Sina Honari, University of Montreal; Pavlo Molchanov, NVIDIA Research; Jan Kautz, NVIDIA; Stephen Tyree, ; Christopher Pal, Ecole Polytechnique de Montreal; Pascal Vincent, University of Montreal" +2290,Poster,Reward Learning by Instruction,,"Hsiao-Yu Tung, Carnegie Mellon University; Adam Harley, Carnegie Mellon University; Katerina Fragkiadaki, Carnegie Mellon University" +2291,Poster,The Lov_z-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks,,"Maxim Berman, ESAT-PSI, KU Leuven; Amal Rannen Triki, KU Leuven; Matthew Blaschko, KU Leuven" +2300,Poster,Facial Expression Recognition by De-expression Residue Learning,,"Huiyuan Yang, Binghamton University-SUNY; Umur Ciftci, Binghamton University-SUNY; Lijun Yin, Binghamton University State University of New York" +2302,Poster,Learning to Understand Image Blur,,"Shanghang Zhang, ; Xiaohui Shen, Adobe Research; Zhe Lin, Adobe Systems, Inc.; Radom_ Mech, ; Jo_ Costeira, ; Jose Moura, Carnegie Mellon University" +2307,Poster,Hierarchical Novelty Detection for Visual Object Recognition,,"Kibok Lee, University of Michigan; Kimin Lee, KAIST; Kyle Min, University of Michigan; Yuting Zhang, University of Michigan; Jinwoo Shin, KAIST; Honglak Lee, University of Michigan, USA" +2313,Poster,Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled Data,,"Arghya Pal, Indian Institute of Technology; Vineeth Balasubramanian, IIT Hyderabad" +2318,Poster,Compare and Contrast: Learning Prominent Visual Differences,,"Steven Chen, University of Texas at Austin; Kristen Grauman," +2335,Poster,SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis,,"Wengling Chen, Georgia Institute of Technolog; James Hays, Georgia Tech" +2337,Poster,Grounding Referring Expressions in Images by Variational Context,,"Hanwang Zhang, Columbia University; Yulei Niu, Renmin University of China; Shih-Fu Chang," +2368,Poster,Geometry-Guided CNN for Self-supervised Video Representation learning,,"Chuang Gan, Tsinghua University; Boqing Gong, University of Central Florida; Kun Liu, Beijing University of Posts and Telecommunications; hao Su, ; Leonidas J. Guibas," +2380,Poster,Multi-Level Fusion based 3D Object Detection from Monocular Images,,"Bin Xu, ; Zhenzhong Chen, Wuhan University" +2383,Poster,Explicit Loss-Error-Aware Quantization for Deep Neural Networks,,"Aojun Zhou, Intel labs china; Anbang Yao," +2387,Poster,Generative Adversarial Perturbations,,"Omid Poursaeed, Cornell University; Isay Katsman, Cornell University; Bicheng Gao, Shanghai Jiao Tong University; Serge Belongie," +2391,Poster,A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping,,"Zhetong Liang, PolyU; Jun Xu, Hong Kong Polytechnic U; David Zhang, Hong Kong Polytechnic University; Zisheng Cao, ; Lei Zhang, The Hong Kong Polytechnic University" +2403,Poster,Learning Deep Correspondence through Prior and Posterior Feature Constancy,,"Zhengfa Liang, NUDT; Yiliu Feng, NUDT; Yulan Guo, NUDT; Hengzhu Liu, NUDT; Wei Chen, ; Linbo Qiao, ; Li Zhou, NUDT; Jianfeng Zhang, NUDT" +2411,Poster,End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching,,"Georgios Georgakis, George Mason University; Srikrishna Karanam, Siemens Corporate Technology; Ziyan Wu, Siemens Corporation; Jan Ernst, Siemens Corporation; Jana Kosecka, George Mason Univiversity" +2427,Poster,Matching Adversarial Networks,,"Gellert Mattyus, UBER ATG; Raquel Urtasun, University of Toronto" +2434,Poster,Stochastic Variational Inference with Gradient Linearization,,"Tobias Pl_z, TU Darmstadt; Anne Wannenwetsch, TU Darmstadt; Stefan Roth," +2437,Poster,Geometry-aware Deep Network for Single-Image Novel View Synthesis,,"Miaomiao Liu, Data61,CSIRO; Xuming He, ShanghaiTech; Mathieu Salzmann, EPFL" +2443,Poster,Robust Depth Estimation from Auto Bracketed Images,,"Sunghoon Im, KAIST; Hae-Gon Jeon, KAIST; In So Kweon, KAIST" +2447,Poster,Document Enhancement using Visibility Detection,,"Nati Kligler, Technion; Sagi Katz, Technion; Ayellet Tal, Technion" +2450,Poster,Co-Occurrence Template Matching,,"Shai Avidan, ; rotal kat, Tel-Aviv University; roy jevnisek, Tel-Aviv University" +2451,Poster,Intrinsic Image Transformation via Scale Space Decomposition,,"Lechao Cheng, ; Chengyi Zhang, Zhejiang University; Zicheng Liao," +2455,Poster,Depth and Transient Imaging with Compressive SPAD Array Cameras,,"Qilin Sun, KAUST; Xiong Dun, KAUST; Yifan (Evan) Peng, UBC; Wolfgang Heidrich," +2457,Poster,Efficient and Deep Person Re-Identification using Multi-Level Similarity,,"Yiluan Guo, SUTD; Ngai-Man Cheung," +2463,Poster,SoS-RSC: A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms,,"Octavia Camps, Northeastern University, USA; Mario Sznaier," +2484,Poster,Arbitrary Style Transfer with Deep Feature Reshuffle,,"Shuyang Gu, USTC; Congliang Chen, Peking University; Jing Liao, ; Lu Yuan, Microsoft Research Asia" +2486,Poster,Multi-Label Zero-Shot Learning with Structured Knowledge Graphs,,"Chung-Wei Lee, National Taiwan University; Wei Fang, National Taiwan University; Chih-Kuan Yeh, Carnegie Mellon University; Yu-Chiang Frank Wang, Academia Sinica" +2499,Poster,Mobile Video Object Detection with Temporally-Aware Feature Maps,,"Menglong Zhu, ; Mason Liu, Georgia Tech" +2501,Poster,Free supervision from video games,,"Philipp Krahenbuhl," +2503,Poster,Adversarially Learned One-Class Classifier for Novelty Detection,,"Mohammad Sabokrou, Institute for Research in Fundamental Sciences (IPM); Mohammad Khalooie, ; Mahmood Fathi, ; Ehsan Adeli, Stanford University" +2508,Poster,"Fast, Simple, and Effective Resource-Constrained Structure Learning of Deep Networks",,"Ariel Gordon, Google; Elad Eban, Google; Bo Chen, Google; ofir Nachum, Google; Tien-Ju Yang, Massachusetts Institute of Technology; Edward Choi, Georgia Institute of Technology" +2509,Poster,Resource Aware Person Re-identification across Multiple Resolutions,,"Yan Wang, Cornell university; Lequn Wang, Cornell University; yurong you, shang hai jiao tong university; xu zou, tsinghua university; Vincent Chen, cornell university; Serena Li, CORNELL UNIVERSITY; Bharath Hariharan, Cornell University; Gao Huang, ; Kilian Weinberger, Cornell University" +2517,Poster,Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks,,"Long Chen, ZJU; Hanwang Zhang, Columbia University; Jun Xiao, ZJU; Wei Liu, ; Shih-Fu Chang," +2518,Poster,Learning and Using the Arrow of Time,,"Donglai Wei, MIT; Andrew Zisserman, Oxford; William Freeman, MIT/Google; Joseph Lim, University of Southern California" +2519,Poster,Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition,,"Shizhong Han, 1986; zibo Meng, ; Zhiyuan Li, University of South Carolina; JAMES O'REILLY, University of South Carolina; Jie Cai, University of South Carolina; Xiaofeng Wang, University of South Carolina; Yan Tong, University of South Carolina" +2529,Poster,Gaze Prediction in Dynamic $360^\circ$ Immersive Videos,,"Yanyu Xu, Shanghaitech University; Yanbing Dong, ; Junru Wu, ; Zhengzhong Sun, ; Zhiru Shi, ; Jingyi Yu, ; Shenghua Gao, ShanghaiTech University" +2542,Poster,Modulated Convolutional Networks,,"Xiaodi Wang, Beihang University; Baochang Zhang, ; Ce Li, CUMTB; Rongrong Ji, ; jungong han, ; Xianbin Cao, Beihang University; jianzhuang liu," +2561,Poster,SeedNet : Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive Segmentation,,"Gwangmo Song, Seoul National University; Heesoo Myeong, Samsung; Kyoung Mu Lee," +2566,Poster,Optical Flow Guided Feature: A Motion Representation for Video Action Recognition,,"Shuyang Sun, The University of Sydney; Zhanghui Kuang, Sense Time; Wanli Ouyang, The University of Sydney; Lu Sheng, The Chinese University of HK; Wei Zhang," +2578,Poster,Preserving Semantic Relations for Zero-Shot Learning,,"Yashas Annadani, NITK; Soma Biswas, Indian Institute of Science" +2582,Poster,What have we learned from deep representations for action recognition?,,"Christoph Feichtenhofer, ; Axel Pinz, Graz University of Technology; Richard Wildes, York University; Andrew Zisserman, Oxford" +2588,Poster,Neural Style Transfer via Meta Networks,,"Falong Shen, Peking University; Shuicheng Yan, ; Gang Zeng, Peking University" +2599,Poster,InverseFaceNet: Deep Monocular Inverse Face Rendering at over 250 Hz,,"Hyeongwoo Kim, MPII; Michael Zollh_er, MPI Informatics; Ayush Tewari, MPI Informatics; Justus Thies, Technical University of Munich; Christian Richardt, University of Bath; Christian Theobalt, MPI Informatics" +2601,Poster,"People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting",,"Mark Marsden, Dublin City University; Kevin McGuinness, DCU ; Suzanne Little, DCU; Ciara Keogh, University College Dublin, Ireland; Noel O'Connor, DCU" +2602,Poster,Multi-Frame Quality Enhancement for Compressed Video,,"Ren Yang, Beihang University; Mai Xu, Beihang University; Zulin Wang, Beihang University; Tianyi Li, Beihang University" +2604,Poster,DiverseNet: When One Right Answer Is Not Enough,,"Michael Firman, UCL; Neill Campbell, University of bath; Lourdes Agapito, University College London; Gabriel Brostow, University College London UK" +2605,Poster,Beyond the Pixel-Wise Loss for Topology-Aware Delineation,,"Agata Mosinska, EPFL; Pablo Marquez Neila, EPFL; Mateusz Kozinski, ; Pascal Fua," +2618,Poster,A Perceptual Measure for Deep Single Image Camera Calibration,,"Yannick Hold-Geoffroy, Universit Laval; Kalyan Sunkavalli, Adobe Systems Inc.; Jonathan Eisenmann, Adobe Systems; Matthew Fisher, Adobe; Emiliano Gambaretto, Adobe Systems; Sunil Hadap, ; Jean-Francois Lalonde, Laval University" +2619,Poster,Show Me a Story: Towards Coherent Neural Story Illustration,,"Hareesh Ravi, Rutgers University; Lezi Wang, Rutgers; Carlos Muniz, Rutgers University; Leonid Sigal, University of British Columbia; Mubbasir Kapadia, Rutgers University" +2624,Poster,Towards Universal Representation for Unseen Action Recognition,,"Yi Zhu, University of California Merced; Yang Long, Newcastle University; Yu Guan, Newcastle University; Shawn Newsam, ; Ling Shao, University of East Anglia" +2628,Poster,A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects,,"Yuanlu Xu, University of California, Los Angeles; Lei Qin, Institute of Computing Technology, Chinese Academy of Sciences; Xiaobai Liu, San Diego State University; Song-Chun Zhu," +2633,Poster,Sparse Photometric 3D Face Reconstruction Guided by Morphable Models,,"Xuan Cao, ShanghaiTech University; Zhang Chen, ShanghaiTech University; jingyi Yu, Shanghai Tech University; Anpei Chen," +2635,Poster,Deep Adversarial Subspace Clustering,,"Pan Zhou, National university of singapo; Yunqing Hou, NUS; Jiashi Feng," +2636,Poster,Multimodal Visual Concept Learning with Weakly Supervised Techniques,,"Giorgos Bouritsas, NTUA; Petros Koutras, NTUA; Athanasia Zlatintsi, NTUA; Petros Maragos, NTUA" +2640,Poster,"ICE-BA: Efficient, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM",,"Haomin Liu, Baidu; Mingyu Chen, Baidu; Guofeng Zhang, Zhejiang University; Hujun Bao, Zhejiang University; Yingze Bao, Baidu LLC" +2644,Poster,KIPPI: KInetic Polygonal Partitioning of Images,,"Jean-Philippe Bauchet, Inria; Florent Lafarge," +2647,Poster,Planar Shape Detection at Structural Scales,,"Hao Fang, Inria; Florent Lafarge, ; Mathieu Desbrun, Caltech" +2648,Poster,A Closer Look at Spatiotemporal Convolutions for Action Recognition,,"Du Tran, Dartmouth College; heng Wang, ; Lorenzo Torresani, Darthmout College, USA; Jamie Ray, Facebook; Manohar Paluri," +2662,Poster,Reconstruction Network for Video Captioning,,"Bairui Wang, ; Lin Ma, Tencent AI Lab; Wei Zhang, ; Wei Liu," +2666,Poster,DOTA: A Large-scale Dataset for Object Detection in Aerial Images,,"Gui-Song Xia, Wuhan University; Xiang Bai, Huazhong University of Science and Technology; Jian Ding, Wuhan University; Zhen Zhu, Huazhong University of Science and Technology; Serge Belongie, ; Jiebo Luo, University of Rochester; Mihai Datcu, ; Marcello Pelillo, University of Venice; Liangpei Zhang, Wuhan University" +2695,Poster,Tight Nonconvex Relaxation of MAP Inference,,"D. Khu L-Huu, Inria & CentraleSup_ec, Universit Paris-Saclay; Nikos Paragios, Ecole Centrale de Paris" +2697,Poster,Weakly Supervised Phrase Localization with Multi-Scale Anchored Transformer Network,,"Fang Zhao, National University of Singapore; Jianshu Li, National University of Singapo; Jian Zhao, NUS; Jiashi Feng," +2701,Poster,Variational Autoencoders for Deforming 3D Mesh Models,,"Qingyang Tan, UCAS; Lin Gao, Chinese Academy of Sciences; Yu-Kun Lai, Cardiff University; Shihong Xia, Institute of Computing Technology, CAS, Beijing, China" +2703,Poster,DeepMVS: Learning Multi-View Stereopsis,,"Po-Han Huang, University of Illinois, U-C; Kevin Matzen, Facebook; Johannes Kopf, Facebook; Narendra Ahuja, University of Illinois at Urbana-Champaign, USA; Jia-Bin Huang, Virginia Tech" +2705,Poster,HydraNets: Specialized Dynamic Architectures for Efficient Inference,,"Ravi Teja Mullapudi, Carnegie Mellon University; Noam Shazeer, Google; William Mark, Google; Kayvon Fatahalian, Stanford" +2709,Poster,Feature Generating Networks for Zero-Shot Learning,,"Yongqin Xian, Max Planck Institute; Tobias Lorenz, Max Planck Institute for Informatics; Bernt Schiele, MPI Informatics Germany; Zeynep Akata, University of Amsterdam" +2711,Poster,Deep Image Prior,,"Dmitry Ulyanov, Skoltech; Andrea Vedaldi, U Oxford; Victor Lempitsky," +2715,Poster,Pix3D: Dataset and Methods for 3D Object Modeling from a Single Image,,"Xingyuan Sun, Shanghai Jiao Tong University; Jiajun Wu, MIT; Xiuming Zhang, MIT; Zhoutong Zhang, MIT; Tianfan Xue, Google; Joshua Tenenbaum, ; William Freeman, MIT/Google" +2722,Poster,Defense against Universal Adversarial Perturbations,,"NAVEED AKHTAR, UNIVERSITY OF WESTERN AUSTRALI; Jian Liu, UWA; Ajmal Mian, UWA" +2723,Poster,Structure from Recurrent Motion: From Rigidity to Recurrency,,"Xiu Li, Tsinghua University; Hongdong Li, Australian National University; Hanbyul Joo, CMU; Yebin Liu, Tsinghua University; Yaser Sheikh," +2730,Poster,Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking,,"Filip Radenovic, CTU Prague; Ahmet Iscen, Inria; Giorgos Tolias, Czech Technical University in Prague; Yannis Avrithis, Inria; Ondrej Chum, Czech Technical University in Prague" +2735,Poster,DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation,,"Jiang Liu, Carnegie Mellon University; Chenqiang Gao, Chongqing University of Posts and Telecommunications; Deyu Meng, Xi'an Jiaotong University; Alexander Hauptmann," +2738,Poster,Deeply Learned Filter Response Functions for Hyperspectral Reconstruction,,"Shijie Nie, NII, Japan; Lin Gu, National Institute of Informatics; Yinqiang Zheng, National Institute of Informatics, Japan; Antony Lam, Saitama University; Nobutaka Ono, Tokyo Metropolitan University; Imari Sato, National Institute of Informatics, Japan" +2742,Poster,Learning Strict Identity Mappings in Deep Residual Networks,,"Xin Yu, University of Utah; Srikumar Ramalingam, ; Zhiding Yu, Carnegie Mellon University" +2744,Poster,Face Detector Adaptation without Negative Transfer or Catastrophic Forgetting,,"Muhammad Abdullah Jamal, University of Central Florida; Haoxiang Li, Adobe Research; Boqing Gong, University of Central Florida" +2752,Poster,"Multi-Evidence Fusion and Filtering for Weakly Supervised Object Recognition, Detection and Segmentation",,"Weifeng Ge, The University of Hong Kong; Yizhou Yu, The University of Hong Kong" +2763,Poster,SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval,,"Peng Xu, Beijing University of Posts an; Yongye Huang, Beijing University of Posts and Telecommunications; Tongtong Yuan, Beijing University of Posts and Telecommunications; Kaiyue Pang, QMUL; Yi-Zhe Song, ; Tao Xiang, Queen Mary University of London; Timothy Hospedales, University of Edinburgh; Zhanyu Ma, Beijing University of Posts and Telecommunications ; Jun Guo, Beijing University of Posts and Telecommunications" +2764,Poster,Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams,,"Daesik Kim, Seoul National University; YoungJoon Yoo, ; JeeSoo Kim, Seoul national university; SangKuk Lee, Seoul National University; Nojun Kwak, Seoul National University" +2767,Poster,Jerk-Aware Video Acceleration Magnification,,"Shoichiro Takeda, NTT Media Intelligence Lab.; Kazuki Okami, NTT Media Intelligence Lab.; Dan Mikami, NTT Media Intelligence Lab.; Megumi Isogai, NTT Media Intelligence Lab.; Hideaki Kimata, NTT Media Intelligence Lab." +2777,Poster,Appearance-and-Relation Networks for Video Classification,,"Limin Wang, ETH Zurich; Wei Li, Google; Wen Li, ETH; Luc Van Gool, KTH" +2778,Poster,Fast Spectral Ranking for Similarity Search,,"Ahmet Iscen, Inria; Yannis Avrithis, Inria; Giorgos Tolias, Czech Technical University in Prague; Teddy Furon, ; Ondrej Chum, Czech Technical University in Prague" +2779,Poster,Mining on Manifolds: Metric Learning without Labels,,"Ahmet Iscen, Inria; Giorgos Tolias, Czech Technical University in Prague; Yannis Avrithis, Inria; Ondrej Chum, Czech Technical University in Prague" +2781,Poster,From source to target and back: Symmetric Bi-Directional Adaptive GAN,,"Paolo Russo, University of Rome La Sapienza; Fabio Carlucci, University of Rome La Sapienza; Tatiana Tommasi, Italian Institute of Tecnology; Barbara Caputo, University of Rome La Sapienza, Italy" +2788,Poster,Referring Image Segmentation via Recurrent Refinement Networks,,"Ruiyu Li, CUHK; Kaican Li, CUHK; Yi-Chun Kuo, CUHK; Michelle Shu, ; Xiaojuan Qi, CUHK; Xiaoyong Shen, CUHK; Jiaya Jia, Chinese University of Hong Kong" +2790,Poster,Defense against adversarial attacks using guided denoiser,,"Fangzhou Liao, Tsinghua University; Ming Liang, ; Yinpeng Dong, Tsinghua Univeristy; Tianyu Pang, Tsinghua University; Jun Zhu, Tsinghua University; Xiaolin Hu, Tsinghua University" +2797,Poster,Disentangling Factors of Variation by Mixing Them,,"Qiyang HU, University of bern; Attila Szabo, University of Bern; Tiziano Portenier, ; Matthias Zwicker, ; Paolo Favaro, Bern University, Switzerland" +2798,Poster,LSTM Pose Machines,,"Yue Luo, SenseTime; Jimmy Ren, SenseTime Group Limited; Zhouxia Wang, SenseTime; Wenxiu Sun, SenseTime Group Limited; Jinshan Pan, UC Merced; Jianbo Liu, SenseTime; Jiahao Pang, SenseTime Group Limited; Liang Lin," +2799,Poster,CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition,,"Anil Baslamisli, University of Amsterdam; Hoang-An Le, University of Amsterdam; Theo Gevers, University of Amsterdam" +2813,Poster,Learning Rich Features for Image Manipulation Detection,,"Peng Zhou, University of Maryland, Colleg; Xintong Han, University of Maryland; Vlad Morariu, University of Maryland; Larry Davis, University of Maryland, USA" +2819,Poster,"GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose",,"Zhichao Yin, Sensetime Group Limited; Jianping Shi, SenseTime" +2821,Poster,Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network,,"Zizhao Zhang, University of Florida; Lin Yang, ; Yefeng Zheng, Simens" +2828,Poster,Human Semantic Parsing for Person Re-identification,,"Mahdi Kalayeh, UCF; Emrah Basaran, ; Mubarak Shah, UCF" +2833,Poster,Ring loss: Convex Feature Normalization for Face Recognition,,"Yutong Zheng, Carnegie Mellon University; Dipan Pal, Carnegie Mellon University; Marios Savvides," +2834,Poster,Learned Shape-Tailored Descriptors for Segmentation,,"Naeemullah Khan, KAUST; Ganesh Sundaramoorthi," +2835,Poster,ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans,,"Angela Dai, ; Daniel Ritchie, Brown University; Martin Bokeloh, Google; Scott Reed, Google; Juergen Sturm, Google; Matthias Niener, Technical University of Munich" +2837,Poster,GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation,,"Xiaojuan Qi, CUHK; Renjie Liao, ; Zhengzhe Liu, CUHK; Raquel Urtasun, University of Toronto; Jiaya Jia, Chinese University of Hong Kong" +2839,Poster,Learning Compressible 360 Video Isomers,,"Yu-Chuan Su, UT Austin; Kristen Grauman," +2844,Poster,Geometric robustness of deep networks: analysis and improvement,,"Can Kanbak, EPFL; Seyed-Mohsen Moosavi-Dezfooli, ; Pascal Frossard," +2848,Poster,Weakly Supervised Facial Action Unit Recognition through Adversarial Training,,"Guozhu Peng, USTC; Shangfei Wang," +2852,Poster,Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition,,"Feng Liu, Sichuan University; Dan Zeng, Sichuan University; Qijun Zhao, Sichuan University; Xiaoming Liu, Michigan State University" +2859,Poster,View Extrapolation of Human Body from a Single Image,,"Hao Zhu, Nanjing University; hao Su, ; Peng Wang, Baidu; Xun Cao, EE Department, Nanjing Univ; Ruigang Yang, University of Kentucky" +2864,Poster,Adversarially Occluded Samples for Person Re-identification,,"Houjing Huang, CASIA; Dangwei Li, ; Zhang Zhang, ; Xiaotang Chen, ; Kaiqi Huang," +2873,Poster,Single-Image Depth Estimation Based on Fourier Domain Analysis,,"Jaehan Lee, Korea University; Minhyeok Heo, Korea Unversity; Kyung-Rae Kim, Korea University; Chang-Su Kim," +2896,Poster,Classifier Learning with Prior Probabilities for Facial Action Unit Recognition,,"Yong Zhang, CASIA; Weiming Dong, ; Bao-Gang Hu, CASIA; Qiang Ji, RPI" +2906,Poster,Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal,,"Jifeng Wang, NJUST; Xiang Li, NJUST; Jian Yang, Nanjing University of Science and Technology" +2914,Poster,Image Restoration by Estimating Frequency Distribution of Local Patches,,"Jaeyoung Yoo, Seoul National University; Sang ho Lee, Seoul National University; Nojun Kwak, Seoul National University" +2916,Poster,Fully Convolutional Attention Network for Multimodal Reasoning,,"Haoqi Fan, Carnegie Mellon University; Jiatong Zhou," +2932,Poster,Domain Generalization with Adversarial Feature Learning,,"Haoliang Li, Nanyang Technological Universi; Sinno Jilain Pan, Nanyang Technological University, Singapore; Shiqi Wang, City University of Hong Kong; Alex Kot," +2936,Poster,Camera Pose Estimation with Unknown Principal Point,,"Viktor Larsson, Lund University; Zuzana Kukelova, Czech Technical University in Prague; Yinqiang Zheng, National Institute of Informatics, Japan" +2946,Poster,AMNet: Memorability Estimation with Attention,,"Jiri Fajtl, Kingston University; Vasileios Argyriou, Kingston University; Dorothy Monekosso, Leeds Beckett; Paolo Remagnino, Kingston University" +2954,Poster,Image Blind Denoising With Generative Adversarial Network Based Noise Modeling,,"Jingwen Chen, Sun Yat-sen University; Jiawei Chen, Sun Yat-sen University; Hongyang Chao, Sun Yat-sen University; Ming Yang," +2967,Poster,Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View,,"Albert Pumarola, IRI (CSIC-UPC); Antonio Agudo, IRI (CSIC-UPC); Lorenzo Porzi, Mapillary Research; Alberto Sanfeliu, IRI (CSIC-UPC); Vincent Lepetit, University of Bordeaux; Francesc Moreno-Noguer, Institut de Robotica i Informatica Industrial (UPC/CSIC)" +2970,Poster,Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars,,"Antonio Loquercio, University of Zurich; Ana Maqueda, Universidad Politecnica de Madrid; Guillermo Gallego, University of Zurich; Narciso Garcia, Universidad Politecnica de Madrid; Davide Scaramuzza, University of Zurich" +2979,Poster,PoTion: Pose MoTion Representation for Action Recognition,,"Vasileios Choutas, Naver Labs Europe; Philippe Weinzaepfel, Xerox; Jerome Revaud, Naver Labs Europe; Cordelia Schmid, INRIA Grenoble, France" +2986,Poster,Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database,,"Ke Yan, National Institute of Health; Xiaosong Wang, NIH; Le Lu, Nvidia Corp; Ling Zhang, NIH; Adam Harrison, National Institutes of Health; MOHAMMADHADI Bagheri, NIH; Ronald Summers," +2988,Poster,Inverse Composition Discriminative Optimization for Point Cloud Registration,,"Jayakorn Vongkulbhisal, Carnegie Mellon University; Be_t Irastorza Ugalde, ; Fernando de la Torre, ; Jo_ Costeira," +2992,Poster,Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation,,"Piotr Bilinski, University of Oxford; Victor Prisacariu, Oxford" +2998,Poster,Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks,,"Alexander Sage, ETH Zurich; Eirikur Agustsson, ETH Zurich; Radu Timofte, ETH Zurich; Luc Van Gool, KTH" +3005,Poster,"OL: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning",,"Jose Lezama, Universidad de la Republica, Uruguay; Qiang Qiu, ; Pablo Mus, Universidad de la Republica, Uruguay; Guillermo Sapiro, Duke" +3009,Poster,Efficient parametrization of multi-domain deep neural networks,,"Sylvestre-Alvise Rebuffi, University of Oxford; Hakan Bilen, University of Oxford; Andrea Vedaldi, U Oxford" +3010,Poster,Learning Answer Embeddings for Visual Question Answering,,"Hexiang Hu, ; Wei-Lun Chao, USC; Fei Sha, University of Southern California" +3012,Poster,Pixar: Real-time 3D Object Detection from Point Clouds,,"Bin Yang, Uber ATG, UofT; Wenjie Luo, Uber ATG.; UofT; Raquel Urtasun, University of Toronto" +3026,Poster,Sim2Real View Invariant Visual Servoing by Recurrent Control,,"Fereshteh Sadeghi, University of Washington; Alexander Toshev, Google; Sergey Levine, UC Berkeley" +3027,Poster,Spanning Patches: Deep Patch Selection for Fast Multi-View Stereo,,"Alex Poms, Carnegie Mellon University; Shoou-I Yu, Oculus; Chenglei Wu, Oculus; Yaser Sheikh," +3028,Poster,Efficient Large-scale Approximate Nearest Neighbor Search on OpenCL FPGA,,"Jialiang Zhang, University of Wisconsin-Madiso; Soroosh Khoram, UW-Madison; Jing Li, University of Wisconsin-Madison" +3035,Poster,Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms,,"Alexandre B_e, Brain and Spine Institute; Olivier Colliot, Institut du Cerveau et de la Moelle _ini_e; Stanley Durrleman, Institut du Cerveau et de la Moelle _ini_e" +3057,Poster,Geometry Aware Optimization for Deep Learning: The Good Practice,,"SOUMAVA KUMAR ROY, AUSTRALIAN NATIONAL UNIVERSITY; Zakaria Mhammedi, Data61, CSIRO; Mehrtash Harandi, Australian National University" +3063,Poster,Good View Hunting: Learning Photo Composition from 1 Million View Pairs,,"Zijun Wei, Stony Brook University; Jianming Zhang, Adobe Research; Minh Hoai, Stony Brook University; Xiaohui Shen, Adobe Research; Zhe Lin, Adobe Systems, Inc.; Radom_ Mech, ; Dimitris Samaras," +3073,Poster,Analyzing Filters Toward Efficient ConvNet,,"Takumi Kobayashi," +3075,Poster,Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation,,"Yong Zhang, CASIA; Rui Zhao, Rensselaer Polytechnic Institu; Weiming Dong, ; Bao-Gang Hu, CASIA; Qiang Ji, RPI" +3102,Poster,Interpretable Video Captioning via Trajectory Structured Localization,,"Xian Wu, Sysu; Guanbin Li, ; Liang Lin," +3107,Poster,Joint Optimization Framework for Learning with Noisy Labels,,"Daiki Tanaka, The University of Tokyo; Daiki Ikami, The University of Tokyo; Toshihiko Yamasaki, The University of Tokyo; Kiyoharu Aizawa," +3112,Poster,Learning a Complete Image Indexing Pipeline,,"Himalaya Jain, Inria, Technicolor; Joaquin Zepeda, ; Patrick Perez, Technicolor Research; R_i Gribonval, Inria" +3117,Poster,Real-Time Seamless Single Shot 6D Object Pose Prediction,,"Bugra Tekin, ; Sudipta Sinha, Microsoft Research; Pascal Fua," +3118,Poster,Inferring Co-Attention in Social Scene Videos,,"Lifeng Fan, VCLA@UCLA; Yixin Chen, VCLA@UCLA; Ping Wei, Xi'an Jiaotong University; Song-Chun Zhu," +3120,Poster,A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation,,"Lukas Rahmann, ; Riccardo Roveri, ETH Zurich; Cengiz Oztireli, ; Markus Gross," +3123,Poster,Blind Predicting Similar Quality Map for Image Quality Assessment,,"Da Pan, Communication University of CN; Ping Shi, ; Ming Hou, ; Zefeng Ying, ; Sizhe Fu, ; Yuan Zhang," +3141,Poster,Image Correction via Deep Reciprocating HDR Transformation,,"Xin Yang, Dalian University of Technology, City University of Hong Kong; Ke Xu, Dalian University of Technology; City University of Hong Kong; Yibing Song, Tencent AI Lab; Qiang Zhang, Dalian University of Technology; Xiaopeng Wei, Dalian University of Technology; Rynson Lau, City University of Hong Kong" +3145,Poster,Towards Human-Machine Cooperation: Evolving Active Learning with Self-supervised Process for Object Detection,,"Keze Wang, ; Liang Lin, ; Xiaopeng Yan, Sun Yat-sen University; Lei Zhang, The Hong Kong Polytechnic University" +3164,Poster,PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition,,"Mikaela Angelina Uy, NUS; Gim Hee Lee, National University of SIngapore" +3170,Poster,PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos,,"Dingwen Zhang, ; Guangyu Guo, ; Dong Huang, Carnegie Mellon University; Fernando de la Torre, ; Junwei Han, Northwestern Polytechnical U." +3180,Poster,Leveraging Unlabeled Data for Crowd Counting by Learning to Rank,,"Xialei Liu, Computer Vision Center of UAB; Joost van de Weijer, Computer Vision Center Barcelona; Andrew Bagdanov, Computer Vision Center, Barcelona" +3208,Poster,Deep Density Clustering of Unconstrained Faces,,"Wei-An Lin, UMD; Jun-Cheng Chen, ; Carlos Castillo, ; Rama Chellappa, University of Maryland, USA" +3214,Poster,Learning Steerable Filters for Rotation Equivariant CNNs,,"Maurice Weiler, Heidelberg University; Fred Hamprecht, Heidelberg University, Germany; Martin Storath," +3217,Poster,Radially-Distorted Conjugate Translations,,"James Pritts, Czech Technical University; Zuzana Kukelova, Czech Technical University in Prague; Viktor Larsson, Lund University; Ondrej Chum, Czech Technical University in Prague" +3219,Poster,Progressively Complementarity-aware Fusion Network for RGB-D Salient Object Detection,,"Hao Chen, City University of Hong Kong; You fu Li, City University of Hong Kong" +3220,Poster,Regularizing Deep Networks by Modeling and Predicting Label Structure,,"Mohammadreza Mostajabi, TTI-Chicago; Michael Maire, ; Greg Shakhnarovich," +3225,Poster,Image Super-resolution via Dual-state Recurrent Neural Networks,,"Wei Han, UIUC; Shiyu Chang, ; Ding Liu, UIUC; Michael Witbrock, ; Thomas Huang," +3236,Poster,Probabilistic Joint Face-Skull Modelling for Facial Reconstruction,,"Dennis Madsen, University of Basel; Marcel L_hi, ; Andreas Schneider, ; Thomas Vetter, U. Basel" +3241,Poster,Making Convolutional Networks Recurrent for Visual Sequence Learning,,"Xiaodong Yang, NVIDIA; Pavlo Molchanov, NVIDIA Research; Jan Kautz, NVIDIA" +3242,Poster,Zero-Shot Kernel Learning.,,"Hongguang Zhang, Data61; Piotr Koniusz, Data61/CSIRO" +3244,Poster,Deeper Look at Power Normalizations.,,"Piotr Koniusz, Data61/CSIRO; Hongguang Zhang, Data61; Fatih Porikli, NICTA, Australia" +3247,Poster,Deformable GANs for Pose-based Human Image Generation,,"Aliaksandr Siarohin , DISI, University of Trento; Enver Sangineto, University of Trento; St_hane Lathuili_e, Inria; Nicu Sebe, University of Trento" +3249,Poster,On the Duality Between Retinex and Image Dehazing,,"Adrian Galdran, INESC TEC Porto; Aitor Alvarez-Gila, Tecnalia / CVC-Universitat Autonoma de Barcelona; Alessandro Bria, University of Cassino and L.M.; Javier Vazquez-Corral, Universitat Pompeu Fabra; Marcelo Bertalmio," +3259,Poster,Pulling Actions out of Context: Explicit Separation for Effective Combination,,"Yang Wang, Stony Brook University; Minh Hoai, Stony Brook University" +3262,Poster,An Unsupervised Learning Model for Deformable Medical Image Registration,,"Guha Balakrishnan, MIT; Adrian Dalca, ; Amy Zhao, MIT; Mert Sabuncu, Cornell; John Guttag," +3264,Poster,Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs,,"Emanuel Laude, TUM; Jan-Hendrik Lange, ; Jonas Schuepfer, ; Csaba Domokos, ; Laura Leal-Taixe, Technical University of Munich; Frank Schmidt, BCAI; Bjoern Andres, ; Daniel Cremers," +3269,Poster,Multi-Scale Weighted Nuclear Norm Image Restoration,,"Noam Yair, Technion; Tomer Michaeli, Technion" +3272,Poster,Finding beans in burgers: Deep semantic-visual embedding with localization,,"Patrick Perez, Technicolor Research; Matthieu Cord, ; Louis Chevallier, technicolor; Martin Engilberge, technicolor" +3279,Poster,Transparency by Design: Closing the Gap Between Performance and Interpretabilty in Visual Reasoning,,"David Mascharka, MIT Lincoln Laboratory; Philip Tran, Planck Aerosystems; Ryan Soklaski, MIT Lincoln Laboratory; Arjun Majumdar, MIT Lincoln Laboratory" +3285,Poster,Occlusion Aware Unsupervised Learning of Optical Flow,,"Yang Wang, Baidu USA; Yi Yang, ; Zhenheng Yang, ; Liang Zhao, Baidu USA; Wei Xu," +3286,Poster,PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing,,"Dan Xu, ; Wanli Ouyang, The University of Sydney; Xiaogang Wang, Chinese University of Hong Kong; Nicu Sebe, University of Trento" +3295,Poster,Fooling Vision and Language Models Despite Localization and Attention Mechanism,,"Xiaojun Xu, Shanghai Jiao Tong University; Xinyun Chen, UC Berkeley; Chang Liu, UC Berkeley; Anna Rohrbach, UC Berkeley; Trevor Darrell, UC Berkeley, USA; Dawn Song, UC Berkeley" +3299,Poster,4DFAB: A Large Scale 4D Database for Facial Expression Analysis and Biometric Applications,,"Shiyang Cheng, Imperial College London; Irene Kotsia, Middlesex University London; Maja Pantic, Imperial College London, UK; Stefanos Zafeiriou, Imperial College London" +3303,Poster,An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption,,"Xiyu Yu, The University of Sydney; Tongliang Liu, The University of Sydney; Mingming Gong, ; Kayhan Batmanghelich, University of Pittsburgh; Dacheng Tao, University of Sydney" +3311,Poster,Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration,,"Xinyuan Zhang, Duke University; Xin Yuan, Nokia Bell Labs; Lawrence Carin," +3315,Poster,Hierarchical Recurrent Attention Networks for Structured Online Maps,,"Namdar Homayounfar, Uber ATG; Wei-Chiu Ma, MIT; Shrinidhi Kowshika Lakshmikanth, Uber ATG; Raquel Urtasun, University of Toronto" +3325,Poster,Convolutional Image Captioning,,"Jyoti Aneja, UIUC; Aditya Deshpande, University of Illinois at UC; Alex Schwing," +3327,Poster,Geometric Multi-Model Fitting with a Convex Relaxation Algorithm,,"Paul Amayo, Oxford ; Pedro Pinies, University of Oxford; Lina Paz, University of Oxford; Paul Newman, University of Oxford" +3333,Poster,VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection,,"Yin Zhou, Lawrence Berkeley National Lab; Oncel Tuzel," +3335,Poster,Image to Image Translation for Domain Adaptation,,"Zak Murez, UCSD; Soheil Kolouri, HRL Laboratories, LLC; David Kriegman, University of California at San Diego; Ravi Ramamoorthi, University of California, San Diego; Kyungnam Kim, HRL Laboratories" +3345,Poster,CNN Driven Sparse Multi-Level B-spline Image Registration,,"Pingge Jiang, Drexel University; James Shackleford, Drexel University" +3349,Poster,DocUNet: Document Image Unwarping via A Stacked U-Net,,"Ke Ma, Stony Brook University; Zhixin Shu, Stony Brook University; Xue Bai, Megvii Inc; Jue Wang, Megvii; Dimitris Samaras," +3350,Poster,Texture Mapping for 3D Reconstruction with RGB-D Sensor,,"Yanping Fu, WuHan University; Qingan Yan, JD.com; Long Yang, Northwest A&F University; Jie Liao , WuHan University; Chunxia Xiao, Wuhan University" +3352,Poster,Sliced Wasserstein Distance for Learning Gaussian Mixture Models,,"Soheil Kolouri, HRL Laboratories, LLC; Gustavo Rohde, University Virginia ; Heiko Hoffmann, HRL Laboratories, LLC" +3362,Poster,Convolutional Sequence to Sequence Model for Human Dynamics,,"Chen Li, ; Zhen Zhang, National University of Singapore; Wee Sun Lee, ; Gim Hee Lee, National Univeristy of Singapore" +3373,Poster,Composing Two Objects of Interest for Flying Camera Photography,,"ZIQUAN LAN, NUS; David Hsu, NUS; Gim Hee Lee, National University of SIngapore" +3375,Poster,Time-resolved Light Transport Decomposition for Thermal Photometric Stereo,,"Nobuhiro Ikeya, NAIST; Kenichiro Tanaka, NAIST; Tsuyoshi Takatani, NAIST; Hiroyuki Kubo, ; Takuya Funatomi, NAIST; Yasuhiro Mukaigawa, NAIST" +3383,Poster,Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation,,"Zhen Zhang, WASHINGTON UNIVERSITY IN ST.LO; Mianzhi Wang, WASHINGTON UNIVERSITY IN ST.LOUIS; Yan Huang, ; Arye Nehorai, WASHINGTON UNIVERSITY IN ST.LOUIS" +3392,Poster,R-FCN-3000 at 30fps: Decoupling Detection and Classification,,"Bharat Singh, ; Hengduo Li, ; Abhishek Sharma, ; Larry Davis, University of Maryland, USA" +3407,Poster,Robust Physical-World Attacks on Deep Learning Visual Classification,,"Ivan Evtimov, University of Washington; Kevin Eykholt, University of Michigan; Earlence Fernandes, University of Washington; Tadayoshi Kohno, University of Washington; Bo Li, UC Berkeley; Atul Prakash, University of Michigan; Amir Rahmati, University of Michigan; Chaowei Xiao, University of Michigan; Dawn Song, UC Berkeley" +3408,Poster,Feature Super-Resolution: Make Machine See More Clearly,,"Weimin Tan, Fudan University; Bo Yan, Fudan University; Bahetiyaer Bare, Fudan University" +3412,Poster,CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition,,"Jedrzej Kozerawski, UCSB; Matthew Turk, UC Santa Barbara USA" +3427,Poster,"Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation",,"Mark Sandler, Google; Andrew Howard, Google; Menglong Zhu, ; Andrey Zhmoginov, Google; Liang-Chieh Chen," +3435,Poster,CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise,,"Kuang-Huei Lee, Microsoft; Xiaodong He, ; Lei Zhang, Microsoft; Linjun Yang, Facebook" +3436,Poster,Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN,,"Shuai Li, University of Wollongong; Wanqing Li, ; Chris Cook, University of Wollongong; Ce Zhu, University of Electronic Science and Technology of China; Yanbo Gao, University of Electronic Science and Technology of China" +3442,Poster,MoNet: Moments Embedding Network,,"Mengran Gou, Northeastern University; Fei Xiong, University of Southern California ; Octavia Camps, Northeastern University, USA; Mario Sznaier," +3446,Poster,Self-calibrating polarising radiometric calibration,,"Daniel Teo, SUTD; Boxin Shi, Peking University; Yinqiang Zheng, National Institute of Informatics, Japan; Sai-Kit Yeung," +3448,Poster,Representing and Learning High Dimensional Data with the Optimal Transport Map from a Probabilistic Viewpoint,,"Serim Park, Oath; Matthew Thorpe," +3451,Poster,Differential Attention for Visual Question Answering,,"Badri Patro, IIT Kanpur; Vinay P. Namboodiri, Indian Institute of Technology Kanpur" +3454,Poster,Deep Ordinal Regression Network for Monocular Depth Estimation,,"Huan Fu, The University of Sydney; Mingming Gong, ; Chaohui Wang, Universit Paris-Est; Kayhan Batmanghelich, University of Pittsburgh; Dacheng Tao, University of Sydney" +3460,Poster,ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information,,"Rodney LaLonde, University of Central Florida; Dong Zhang, University of Central Florida; Mubarak Shah, UCF" +3468,Poster,Seeing Small Faces from Robust Anchor's Perspective,,"Chenchen Zhu, Carnegie Mellon University; Ran Tao, Carnegie Mellon University; Khoa Luu, ; Marios Savvides," +3470,Poster,Gesture Recognition: Focus on the Hands,,"Pradyumna Narayana, Colorado State University; Ross Beveridge, Colorado State University; Bruce Draper, Colorado State University" +3483,Poster,PieAPP: Perceptual Image-Error Assessment through Pairwise Preference,,"Ekta Prashnani, UCSB; Hong Cai, University of California, Santa Barbara; Yasamin Mostofi, UCSB; Pradeep Sen, University of California, Santa Barbara" +3494,Poster,FFNet: Video Fast-Forwarding via Reinforcement Learning,,"Shuyue Lan, Northwestern University; Rameswar Panda, UC Riverside; Qi Zhu, UC Riverside; Amit Roy-Chowdhury, UC Riverside" +3495,Poster,Two can play this Game: Visual Dialog with Discriminative Visual Question Generation and Visual Question Answering,,"Unnat Jain, UIUC; Lana Lazebnik, ; Alex Schwing," +3502,Poster,A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos,,"CHUNG-CHING LIN, IBM Research; Ying Hung, Rutgers University" +3508,Poster,Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras,,"Pedro Miraldo, Instituto Superior T_nico, Lisboa; Francisco Girbal Eiras, University of Oxford; Srikumar Ramalingam," +3531,Poster,Coding Kendall's Shape Trajectories for 3D Action Recognition,,"Amor Ben Tanfous, IMT Lille Douai; Hassen Drira, IMT Lille Douai; Boulbaba Ben Amor, IMT Lille Douai" +3535,Poster,Latent RANSAC,,"Simon Korman, Weizmann Institute; Roee Litman, Tel-Aviv University" +3552,Poster,Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems,,"Daiki Ikami, The University of Tokyo; Toshihiko Yamasaki, The University of Tokyo; Kiyoharu Aizawa," +3558,Poster,Local and Global Optimization Techniques in Graph-based Clustering,,"Daiki Ikami, The University of Tokyo; Toshihiko Yamasaki, The University of Tokyo; Kiyoharu Aizawa," +3569,Poster,Generating a Fusion Image: One' s Identity and Another's Shape,,"DongGyu Joo, KAIST; Doyeon Kim, KAIST; Junmo Kim, KAIST" +3576,Poster,Categorizing Concepts with Basic Level for Vision-to-Language,,"Hanzhang Wang, Tongji University; Hanli Wang, Tongji University; Kaisheng Xu, Tongji University" +3577,Poster,Importance Weighted Adversarial Nets for Partial Domain Adaptation,,"Jing Zhang, University of Wollongong; Zewei Ding, University of Wollongong; Wanqing Li, ; Philip Ogunbona, University of Wollongong" +3580,Poster,AON: Towards Arbitrarily-Oriented Text Recognition,,"Zhanzhan Cheng, Hikvision Research Institute; Yangliu Xu, Tongji University; Fan Bai, Fudan University; Yi Niu, Hikvision Research Institute; Shiliang Pu, ; Shuigeng Zhou, Fudan University" +3583,Poster,Towards dense object tracking in a 2D honeybee hive,,"Katarzyna Bozek, Okinawa Institute of Science a; Laetitia Hebert, ; Alexander Mikheyev, ; Greg Stephens, OIST Graduate University and Vrije Universiteit Amsterdam" +3599,Poster,Learning Less is More - 6D Camera Localization via 3D Surface Regression,,"Eric Brachmann, TU Dresden; Carsten Rother, University of Heidelberg" +3604,Poster,Multi-task Learning by Maximizing Statistical Dependence,,"Youssef Alami Mejjati, University of Bath; Darren Cosker, University of Bath; Kwang In Kim, University of Bath" +3617,Poster,Encoder-Decoder Alignment for Zero-Pair Image-to-Image Translation,,"Yaxing Wang, Computer vision center; Joost van de Weijer, Computer Vision Center Barcelona; Luis Herranz, Computer Vision Center" +3618,Poster,Dynamic Feature Learning for Partial Face Recognition,,"Lingxiao He, Institute of AutomationChines; Haiqing Li, ; qi Zhang, ; Zhenan Sun, CRIPAC" +3629,Poster,Multi-Image Semantic Matching by Mining Consistent Features,,"Qianqian Wang, Zhejiang University; Xiaowei Zhou, Zhejiang University; Kostas Daniilidis, University of Pennsylvania" +3630,Poster,Indoor RGB-D Compass from a Single Line and Plane,,"Pyojin Kim, Seoul National University; Brian Coltin, NASA Ames Research Center; H. Jin Kim," +3633,Poster,Learning Face Age Progression: A Pyramid Architecture of GANs,,"Hongyu Yang, BEIHANG UNIVERSITY; Di Huang, ; Yunhong Wang, ; Anil Jain, MSU" +3636,Poster,Multispectral Image Intrinsic Decomposition via Low Rank Constraint,,"Qian Huang, Nanjing University; Zhu Weixin, Nanjing university; Yang Zhao, Nanjing University; Linsen Chen, Nanjing University; yao wang, new york university; Tao Yue, Nanjing Univ.; Xun Cao, EE Department, Nanjing Univ" +3646,Poster,Non-Linear Temporal Subspace Representations for Activity Recognition,,"Anoop Cherian, ; Suvrit Sra, MIT; Stephen Gould, Australian National University; Richard Hartley, Australian National University Australia" +3680,Poster,MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features,,"Liang-Chieh Chen, ; Alexander Hermans, RWTH Aachen University; George Papandreou, Google Inc.; Florian Schroff, Google Inc.; Peng Wang, Baidu; Hartwig Adam, Google" +3687,Poster,Robust Classification with Convolutional Prototype Learning,,"Hong-Ming Yang, Institute of Automation, Chinese Academy of Sciences; Xu-Yao Zhang, Institute of Automation, Chinese Academy of Sciences; Fei Yin, Institute of Automation, Chinese Academy of Sciences; cheng-lin Liu," +3695,Poster,Normalized Cut Loss for Weakly Supervised CNN Segmentation,,"Meng Tang, UWO; Federico Perazzi, Disney Research Zurich; Abdelaziz Djelouah, The Walt Disney Company; Yuri Boykov, University of Western Ontario; Christopher Schroers, Disney Research Zurich" +3702,Poster,Structured Uncertainty Prediction Networks,,"Garoe Dorta, University of Bath; Sara Vicente, Anthropics Technology Ltd; Lourdes Agapito, University College London; Neill Campbell, University of bath; Ivor Simpson, Anthropics Technology Ltd" +3711,Poster,CLIP-Q: Deep Network Compression Learning by In-Parallel Pruning-Quantization,,"Frederick Tung, Simon Fraser University; Greg Mori," +3713,Poster,Inference in Higher Order MRF-MAP Problems with Small and Large Cliques,,"Ishant Shanu, Iiit delhi; Chetan Arora, Indraprastha Institute of Information Technology Delhi; S.N. Maheshwari, IIT Delhi" +3722,Poster,Generative Modeling using the Sliced Wasserstein Distance,,"Ishan Deshpande, UIUC; Ziyu Zhang, Snap Research; Alex Schwing," +3727,Poster,CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes,,"Yuhong Li, Beijing Univ. of Posts & Tels; Xiaofan Zhang, UIUC; deming Chen, UIUC" +3736,Poster,Learning to Estimate 3D Human Pose and Shape from a Single Color Image,,"Georgios Pavlakos, ; Luyang Zhu, Peking University; Xiaowei Zhou, Zhejiang University; Kostas Daniilidis, University of Pennsylvania" +3739,Poster,Revisiting knowledge transfer for training object class detectors,,"Jasper Uijlings, Google; Stefan Popov, Google; Vitto Ferrari," +3751,Poster,Aperture Supervision for Monocular Depth Estimation,,"Pratul Srinivasan, Berkeley; Rahul Garg, ; Neal Wadhwa, ; Ren Ng, Berkeley; Jonathan Barron, Google" +3780,Poster,A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos,,"Michel Silva, Universidade de Minas Gerais; Washington Luis Ramos, Universidade Federal de Minas Gerais; Jo_ Pedro Ferreira, Universidade Federal de Minas Gerais; Felipe Chamone, Universidade Federal de Minas Gerais; Mario F Campos, Universidade Federal de Minas Gerais; Erickson Nascimento, Universidade Federal de Minas Gerais" +3795,Poster,Learning Latent Super-Events to Detect Multiple Activities in Videos,,"AJ Piergiovanni, Indiana University; Michael Ryoo, Indiana University" +3798,Poster,Active Fixation Control to Predict Saccade Sequences,,"Calden Wloka, York University; Iuliia Kotseruba, York University; John Tsotsos, York University Canada" +3805,Poster,Two-Stream Convolutional Networks for Dynamic Texture Synthesis,,"Matthew Tesfaldet, York University; Marcus Brubaker, York University; Konstantinos Derpanis, Ryerson University" +3809,Poster,Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks,,"Tom Veniat, Lip6 - MLIA; Ludovic Denoyer, UPMC" +3818,Poster,Depth-Aware Stereo Video Retargeting,,"Bing Li, University of Southern Califor; Chia-Wen Lin, ; Tiejun Huang, ; Boxin Shi, Peking University; Wen Gao, ; C.-C. Jay Kuo, University of Southern California" +3822,Poster,Learning from Noisy Web Data with Category-level Supervision,,"Li Niu, Rice University; Qingtao Tang, ; Ashok Veeraraghavan, Rice University; Ashutosh Sabharwal," +3826,Poster,"Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction",,"Daeyun Shin, UC Irvine; Charless Fowlkes, University of California, Irvine, USA; Derek Hoiem," +3827,Poster,SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels,,"Matthias Fey, TU Dortmund; Jan Lenssen, TU Dortmund; Frank Weichert, TU Dortmund; Heinrich M_ler, TU Dortmund" +3838,Poster,Learning Depth from Monocular Videos using Direct Methods,,"Chaoyang Wang, Carnegie Mellon University; Jose Buenaposada, Universidad Rey Juan Carlos; Rui Zhu, Carnegie Mellon University; Simon Lucey," +3855,Poster,Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning,,"Vasili Ramanishka, Boston University; Yi-Ting Chen, Honda Research Institute USA; Teruhisa Misu, Honda Research Institute; Kate Saenko," +3857,Poster,Generative Adversarial Image Synthesis with Decision Tree Latent Controller,,"Takuhiro Kaneko, NTT Corporation; Kaoru Hiramatsu, NTT Corporation; Kunio Kashino, NTT" +3867,Poster,Cross-View Image Synthesis using Conditional Generative Adversarial Nets,,"Krishna Regmi, Ucf; Ali Borji, UCF" +3869,Poster,Focus Manipulation Detection via Photometric Histogram Analysis,,"Can Chen, University of Delaware; Scott McCloskey, Honeywell; Jingyi Yu, University of Delaware, USA" +3870,Poster,"Efficient, sparse representation of manifold distance matrices for classical scaling",,"Alexander Huth, University of Texas at Austin; Javier Turek, Intel Corporation" +3871,Poster,A Robust Method for Strong Rolling Shutter Effects Correction Using Lines with Automatic Feature Selection,,"Yizhen Lao, Institut Pascal; Omar Ait-Aider, Institut Pascal" +3878,Poster,Learning Attribute Representations with Localization for Flexible Fashion Search,,"Kenan Ak, National University of Singapo; Joo Hwee Lim, I2R, Astar; Ashraf Kassim, ; JO YEW THAM," +3882,Poster,Analysis of Hand Segmentation in the Wild,,"Aisha Urooj, University of Central Florida; Ali Borji, UCF" +3887,Poster,Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty,,"Apratim Bhattacharyya, MPI Informatics; Bernt Schiele, MPI Informatics Germany; Mario Fritz, MPI, Saarbrucken, Germany" +3903,Poster,Wrapped Gaussian Process Regression on Riemannian Manifolds,,"Anton Mallasto, University of Copenhagen; Aasa Feragen, University of Copenhagen" +3905,Poster,Between-class Learning for Image Classification,,"Yuji Tokozume, The University of Tokyo; Yoshitaka Ushiku, ; Tatsuya Harada, University of Tokyo" +3918,Poster,Visual Feature Attribution using Wasserstein GANs,,"Christian Baumgartner, ETH Zurich; Lisa Koch, ETH Zurich; Kerem Tezcan, ETH Zurich; Jia Xi Ang, ETH Zurich; Ender Konukoglu, ETH Zurich" +3923,Poster,ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes,,"Yuhua Chen, CVL@ETHZ; Wen Li, ETH; Luc Van Gool, KTH" +3941,Poster,Im2Struct: Recovering 3D Shape Structure from a Single RGB Image,,"Chengjie Niu, National University of Defense Technology; Jun Li, ; Kai Xu, NUDT & Princeton Univeristy" +3979,Poster,Bidirecional Retrieval Made Simple,,"J_atas Wehrmann, PUCRS; Rodrigo Barros, PUCRS" +3980,Poster,A Twofold Siamese Network for Real-Time Object Tracking,,"Anfeng He, USTC; Chong Luo, Microsoft Research Asia; Xinmei Tian, USTC; Wenjun Zeng," +3981,Poster,Multi-shot Pedestrian Re-identification via Sequential Decision Making,,"Jianfu Zhang, Shanghai Jiaotong University; Naiyan Wang, tusimple; Liqing Zhang, Shanghai Jiaotong University" +3989,Poster,Wide Compression: Tensor Ring Nets,,"Wenqi Wang, Purdue University; YIfan Sun, Technicolor Research; Brian Eriksson, Adobe; Wenlin Wang, Duke University; Vaneet Aggarwal, Purdue University" +3991,Poster,Improvements to context based self-supervised learning,,"Terrell Mundhenk, LLNL; Daniel Ho, LLNL; Barry Chen, LLNL" +3993,Poster,On the convergence of PatchMatch and its variants,,"Thibaud EHRET, CMLA, ENS Cachan; Pablo Arias, CMLA, ENS Cachan" +3995,Poster,Adversarial Feature Augmentation for Unsupervised Domain Adaptation,,"Riccardo Volpi, IIT (Italy); Pietro Morerio, Istituto Italiano di Tecnologi; Silvio Savarese, ; Vittorio Murino, Istituto Italiano di Tecnologia" +4001,Poster,Fast Monte-Carlo Localization on Aerial Vehicles using Approximate Continuous Belief Representations,,"Aditya Dhawale, Carnegie Mellon University; Kumar Shaurya Shankar, Carnegie Mellon University; Nathan Michael, Carnegie Mellon University" +4014,Poster,Learning Multi-Instance Enriched Image Representation via Non-Greedy Simultaneous L1 -Norm Minimization and Maximization,,"Hua Wang, Colorado School of Mines" +4023,Poster,Automatic Map Inference from Aerial Images,,"Favyen Bastani, MIT CSAIL; Songtao He, MIT CSAIL; Mohammad Alizadeh, MIT CSAIL; Hari Balakrishnan, MIT CSAIL; Sam Madden, MIT CSAIL; Sanjay Chawla, Qatar Computing Research Institute; Sofiane Abbar, Qatar Computing Research Institute; David DeWitt, MIT CSAIL" +4066,Poster,Exploiting Transitivity for Learning Person Re-identification Models on a Budget,,"Sourya Roy, UC Riverside ; Sujoy Paul, UC Riverside; Neal Young, UC Riverside ; Amit Roy-Chowdhury, UC Riverside" +4075,Poster,Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display,,"WENJUAN LIAO, NTU, Singapore" +4099,Poster,A Robust Generative Framework for Generalized Zero-Shot Learning,,"Vinay Verma, IIT Kanpur; Gundeep Arora, IIT Kanpur; Ashish Mishra, IIT MADRAS; Piyush Rai, IIT Kanpur" +4109,Poster,3D Registration of Curves and Surfaces using Local Differential Information,,"Carolina Raposo, Institute of Systems and Robot; Joao Barreto, University of Coimbra, Portugal" +4110,Poster,Trust your Model: Light Field Depth Estimation with inline Occlusion Handling,,"Hendrik Schilling, Universit_ Heidelberg; Maximilian Diebold, Heidelberg University; Carsten Rother, University of Heidelberg; Bernd J_ne, University of Heidelberg" +4112,Poster,Partially Shared Multi-Task Convolutional Neural Network with Local Constraint for Face Attribute Learning,,"Jiajiong Cao, ; Yingming Li, Zhejiang University; Zhongfei Zhang," +4149,Poster,Learning Structure and Strength of CNN Filters for Small Sample Size Training,,"Rohit Keshari, IIIT Delhi; Mayank Vatsa, IIIT Dehli; Richa Singh, IIT Dehli; Afzel Noore, WVU" +4172,Poster,Motion Segmentation by Exploiting Complementary Geometric Models,,"Xun Xu, National University of Singapore; Loong Fah Cheong, National University of Singapore; Zhuwen Li, Intel Labs" +4186,Poster,Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction,,"Huangying Zhan, The University of Adelaide; Ravi Garg, The University of Adelaide; Chamara Weerasekera, The University of Adelaide; Kejie Li, The University of Adelaide; Harsh Agarwal, Indian Institute of Technology (BHU); Ian Reid," +4208,Poster,GAGAN: Geometry Aware Generative Adverserial Networks,,"Jean Kossaifi, Imperial College London; Linh Tran, Imperial College London; Yannis Panagakis, ; Maja Pantic, Imperial College London, UK" +4227,Poster,SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks,,"Julian Faraone, University of Sydney; Nicholas Fraser, Xilinx; Michaela Blott, Xilinx; Philip Leong," +4238,Poster,Learning Representations for Single Cells in Microscopy Images,,"Juan Caicedo, Broad Institute of Harvard and; Claire Mcquin, Broad Institute of Harvard and MIT; Allen Goodman, Broad Institute of Harvard and MIT; Shantanu Singh, Broad Institute of Harvard and MIT; Anne Carpenter, Broad Institute of Harvard and MIT" +4239,Poster,"Estimation of Camera Locations in Highly Corrupted Scenarios: All About the Base, No Shape Trouble",,"Yunpeng Shi, University of Minnesota; Gilad Lerman, University of Minnesota" +4244,Poster,Deep Spatial Feature Reconstruction for Partial Person Re-identification,,"Lingxiao He, Institute of AutomationChines; Jian Liang, CASIA; Haiqing Li, ; Zhenan Sun, CRIPAC" +4249,Poster,Cross-Dataset Adaptation for Visual Question Answering,,"Wei-Lun Chao, USC; Hexiang Hu, ; Fei Sha, University of Southern California" +4254,Poster,Eye In-Painting with Exemplar Generative Adversarial Networks,,"Brian Dolhansky, Facebook; Cristian Canton Ferrer, Facebook" +4255,Poster,Learning Visual Knowledge Memory Networks for Visual Question Answering,,"Zhou Su, ; Jianguo Li, Intel Lab; Zhiqiang Shen, Fudan University; Yurong Chen," +4265,Poster,Compassionately Conservative Balanced Cuts for Image Segmentation,,"Nathan Cahill, Rochester Institute of Technol; Tyler Hayes, Rochester Institute of Tech; Renee Meinhold, Rochester Institute of Technology; John Hamilton, RIT" +4272,Poster,Neural Motifs: Scene Graph Parsing with Global Context,,"Rowan Zellers, University of Washington; Mark Yatskar, University of Washington; Samuel Thomson, Carnegie Mellon University; Yejin Choi, University of Washington" +4286,Poster,Alternating-Stereo VINS: Observability Analysis and Performance Evaluation,,"Mrinal Kanti Paul, Google; Stergios Roumeliotis, Google" +4296,Poster,clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions,,"Dongqing Zhang, ImaginationAI LLC" +4335,Poster,Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation,,"Adrian Dalca, ; John Guttag, ; Mert Sabuncu, Cornell" +NaN,Oral,Learning Face Age Progression: A Pyramid Architecture of GANs,,"Hongyu Yang, BEIHANG UNIVERSITY; Di Huang, ; Yunhong Wang, ; Anil Jain, MSU" \ No newline at end of file diff --git a/cvpr_2019_githublinks.csv b/cvpr_2019_githublinks.csv index e0296bd..86e7cd7 100755 --- a/cvpr_2019_githublinks.csv +++ b/cvpr_2019_githublinks.csv @@ -12,8 +12,8 @@ 11,Joint Discriminative and Generative Learning for Person Re-Identification,1180,https://github.com/layumi/Person_reID_baseline_pytorch,https://mp.weixin.qq.com/s/51X7NIS1UEXJ1sqx54tuwg,,,Tuesday,Oral 1.2A,13:30,Tuesday,Poster 1.2,18,Zhedong Zheng,"Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz" 12,Mask Scoring R-CNN,1168,https://github.com/zjhuang22/maskscoring_rcnn,https://mp.weixin.qq.com/s/aP7O7AF6WoynWK_FFHkOTw,,,Wednesday,Oral 2.2A,13:35,Wednesday,Poster 2.2,26,Zhaojin Huang,"Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang" 13,Self-Supervised GANs via Auxiliary Rotation Loss,1140,https://github.com/google/compare_gan,,,,,,,Thursday,Poster 3.2,138,Ting Chen,"Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby" -14,ABC: A Big CAD Model Dataset for Geometric Deep Learning,759,https://github.com/deep-geometry/abc-dataset?,,,,,,,Thursday,Poster 3.1,97,Sebastian Koch,"Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo" -15,PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding,759,https://github.com/daerduoCarey/partnet_dataset,,https://cs.stanford.edu/~kaichun/partnet/,,,,,Tuesday,Poster 1.1,68,Kaichun Mo,"Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su" +14,PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding,759,https://github.com/daerduoCarey/partnet_dataset,,https://cs.stanford.edu/~kaichun/partnet/,,,,,Tuesday,Poster 1.1,68,Kaichun Mo,"Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su" +15,ABC: A Big CAD Model Dataset for Geometric Deep Learning,759,https://github.com/deep-geometry/abc-dataset?,,,,,,,Thursday,Poster 3.1,97,Sebastian Koch,"Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo" 16,Dual Attention Network for Scene Segmentation,744,https://github.com/junfu1115/DANet,,,,,,,Tuesday,Poster 1.2,67,Jun Fu,"Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu" 17,"DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images",629,https://github.com/switchablenorms/DeepFashion2,,,,,,,Wednesday,Poster 2.1,79,Yuying Ge,"Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo" 18,Bottom-Up Object Detection by Grouping Extreme and Center Points,618,https://github.com/xingyizhou/ExtremeNet,,,,,,,Tuesday,Poster 1.1,62,Xingyi Zhou,"Xingyi Zhou, Jiacheng Zhuo, Philipp Kr?henb¨¹hl" @@ -21,16 +21,16 @@ 20,HAQ: Hardware-Aware Automated Quantization With Mixed Precision,512,https://github.com/MIT-HAN-LAB/ProxylessNAS,,https://hanlab.mit.edu/projects/haq/,,Thursday,Oral 3.1A,09:24,Thursday,Poster 3.1,199,Kuan Wang,"Kuan Wang,?Zhijian Liu,?Yujun Lin,?Ji Lin,?Song Han" 21,Fast Interactive Object Annotation With Curve-GCN,436,https://github.com/fidler-lab/curve-gcn,,,,,,,Wednesday,Poster 2.1,71,Huan Ling,"Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler?" 22,ATOM: Accurate Tracking by Overlap Maximization,420,https://github.com/visionml/pytracking,,,,Wednesday,Oral 2.1C,09:24,Wednesday,Poster 2.1,144,Martin Danelljan,"Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg" -23,Shape Robust Text Detection With Progressive Scale Expansion Network,403,https://github.com/whai362/PSENet,,,,,,,Thursday,Poster 3.1,40,Wenhai Wang,"Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang" -24,Data-Driven Neuron Allocation for Scale Aggregation Networks,403,https://github.com/Eli-YiLi/ScaleNet,,,,,,,Thursday,Poster 3.2,56,Yi Li,"Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang" -25,MnasNet: Platform-Aware Neural Architecture Search for Mobile,371,https://github.com/tensorflow/tpu/tree/master/models/official/mnasnet,,,,,,,Tuesday,Poster 1.2,16,Mingxing Tan,"Mingxing Tan,?Bo Chen,?Ruoming Pang,?Vijay Vasudevan,?Mark Sandler,?Andrew Howard,?Quoc V. Le" +23,Data-Driven Neuron Allocation for Scale Aggregation Networks,403,https://github.com/Eli-YiLi/ScaleNet,,,,,,,Thursday,Poster 3.2,56,Yi Li,"Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang" +24,Shape Robust Text Detection With Progressive Scale Expansion Network,403,https://github.com/whai362/PSENet,,,,,,,Thursday,Poster 3.1,40,Wenhai Wang,"Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang" +25,Selective Kernel Networks,371,https://github.com/implus/SKNet,,,,,,,Tuesday,Poster 1.1,28,Xiang Li,"Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang" 26,"ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network",371,https://github.com/sacmehta/ESPNetv2?,,,,,,,Thursday,Poster 3.1,25,Sachin Mehta,"Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi" -27,Selective Kernel Networks,371,https://github.com/implus/SKNet,,,,,,,Tuesday,Poster 1.1,28,Xiang Li,"Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang" +27,MnasNet: Platform-Aware Neural Architecture Search for Mobile,371,https://github.com/tensorflow/tpu/tree/master/models/official/mnasnet,,,,,,,Tuesday,Poster 1.2,16,Mingxing Tan,"Mingxing Tan,?Bo Chen,?Ruoming Pang,?Vijay Vasudevan,?Mark Sandler,?Andrew Howard,?Quoc V. Le" 28,Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels,362,https://github.com/cszn/DPSR,,,,,,,Tuesday,Poster 1.1,169,Kai Zhang,"Kai Zhang, Wangmeng Zuo, Lei Zhang" 29,Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference,351,https://github.com/YoYo000/MVSNet,,,,,,,Wednesday,Poster 2.1,98,Yao Yao,"Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan" -30,Bounding Box Regression With Uncertainty for Accurate Object Detection,320,https://github.com/yihui-he/KL-Loss,https://mp.weixin.qq.com/s/1q_DZ_-WswjAsS1qjxvLNg?,,,,,,Tuesday,Poster 1.2,41,Yihui He,"Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang" +30,Feature Denoising for Improving Adversarial Robustness,320,https://github.com/facebookresearch/ImageNet-Adversarial-Training,,,,,,,Tuesday,Poster 1.1,27,Cihang Xie,"Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He" 31,DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion,320,https://github.com/j96w/DenseFusion,https://mp.weixin.qq.com/s/wrND2cocWlPPVXPqpq-Glg,,,,,,Tuesday,Poster 1.2,87,Chen Wang,"Chen Wang, Danfei Xu, Yuke Zhu, Roberto Mart¨ªn-Mart¨ªn, Cewu Lu, Li Fei-Fei, Silvio Savarese" -32,Feature Denoising for Improving Adversarial Robustness,320,https://github.com/facebookresearch/ImageNet-Adversarial-Training,,,,,,,Tuesday,Poster 1.1,27,Cihang Xie,"Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He" +32,Bounding Box Regression With Uncertainty for Accurate Object Detection,320,https://github.com/yihui-he/KL-Loss,https://mp.weixin.qq.com/s/1q_DZ_-WswjAsS1qjxvLNg?,,,,,,Tuesday,Poster 1.2,41,Yihui He,"Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang" 33,PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud,311,https://github.com/sshaoshuai/PointRCNN,,,,,,,Tuesday,Poster 1.1,54,Shaoshuai Shi,"Shaoshuai Shi, Xiaogang Wang, Hongsheng Li" 34,High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection,274,https://github.com/liuwei16/CSP,,,,,,,Wednesday,Poster 2.1,64,Wei Liu,"Zhao-Min Chen, Xiu-Shen Wei Peng Wang3Yanwen Guo" 35,A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing,269,https://github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019,,,,,,,Tuesday,Poster 1.1,69,Shifeng Zhang,"Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi" @@ -48,29 +48,29 @@ 47,Progressive Pose Attention Transfer for Person Image Generation,196,https://github.com/tengteng95/Pose-Transfer,,,,Tuesday,Oral 1.2B,13:48,Tuesday,Poster 1.2,121,Zhen Zhu,"Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, Xiang Bai" 48,UPSNet: A Unified Panoptic Segmentation Network,191,https://github.com/uber-research/UPSNet,,,,Thursday,Oral 3.1C,08:30,Thursday,Poster 3.1,55,Yuwen Xiong,"uwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun" 49,Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving,190,https://github.com/mileyan/pseudo_lidar,,https://mileyan.github.io/pseudo_lidar/,,,,,Wednesday,Poster 2.2,209,Yan Wang,"Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger" -50,Image Super-Resolution by Neural Texture Transfer,165,https://github.com/ZZUTK/SRNTT,,http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html,,,,,Wednesday,Poster 2.2,126,Zhifei Zhang,"Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi" -51,Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis,165,https://github.com/HelenMao/MSGAN,,,,,,,Tuesday,Poster 1.1,144,Qi Mao,"Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang?" +50,Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis,165,https://github.com/HelenMao/MSGAN,,,,,,,Tuesday,Poster 1.1,144,Qi Mao,"Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang?" +51,Image Super-Resolution by Neural Texture Transfer,165,https://github.com/ZZUTK/SRNTT,,http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html,,,,,Wednesday,Poster 2.2,126,Zhifei Zhang,"Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi" 52,PointConv: Deep Convolutional Networks on 3D Point Clouds,156,https://github.com/DylanWusee/pointconv,,,,,,,Thursday,Poster 3.1,99,Wenxuan Wu,"Wenxuan Wu, Zhongang Qi, Li Fuxin" 53,Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation,153,https://github.com/LinZhuoChen/DUpsampling,,,,,,,Tuesday,Poster 1.2,65,Zhi Tian,"Zhi Tian, Chunhua Shen, Tong He, Youliang Yanl" 54,Toward Convolutional Blind Denoising of Real Photographs,150,https://github.com/GuoShi28/CBDNet,,,,,,,Tuesday,Poster 1.1,173,Shi Guo,"Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang" 55,"Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation",142,https://github.com/anuragranj/cc,,,,,,,Thursday,Poster 3.2,165,Anurag Ranjan,"Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black?" -56,DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation,141,https://github.com/Oktosha/DeepSDF-explained?,,,,Tuesday,Oral 1.1B,09:23,Tuesday,Poster 1.1,76,Jeong Joon Park,"Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, Steven Lovegrove" +56,Learning Implicit Fields for Generative Shape Modeling,141,https://github.com/czq142857/implicit-decoder?,,,,,,,Wednesday,Poster 2.1,170,Zhiqin Chen,"Zhiqin Chen, Hao Zhang" 57,Occupancy Networks: Learning 3D Reconstruction in Function Space,141,https://github.com/LMescheder/Occupancy-Networks,,,,Wednesday,Oral 2.1B,08:53,Wednesday,Poster 2.1,110,Lars Mescheder,Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger -58,Learning Implicit Fields for Generative Shape Modeling,141,https://github.com/czq142857/implicit-decoder?,,,,,,,Wednesday,Poster 2.1,170,Zhiqin Chen,"Zhiqin Chen, Hao Zhang" +58,DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation,141,https://github.com/Oktosha/DeepSDF-explained?,,,,Tuesday,Oral 1.1B,09:23,Tuesday,Poster 1.1,76,Jeong Joon Park,"Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, Steven Lovegrove" 59,Recurrent Back-Projection Network for Video Super-Resolution,133,https://github.com/alterzero/RBPN-PyTorch,,https://alterzero.github.io/projects/RBPN.html,,,,,Tuesday,Poster 1.2,161,Muhammad Haris,"Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita?" 60,Pluralistic Image Completion,132,https://github.com/lyndonzheng/Pluralistic-Inpainting,,http://www.chuanxiaz.com/publication/pluralistic/,,,,,Tuesday,Poster 1.1,145,Chuanxia Zheng,"Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai?" 61,Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification,130,https://github.com/zhunzhong07/ECN,,,,,,,Tuesday,Poster 1.1,37,Zhun Zhong,"Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang" -62,ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch,129,https://github.com/KimSoybean/ScratchDet,https://mp.weixin.qq.com/s/TZj0QzDXE6QbCY5-pT6RNQ,,,Tuesday,Oral 1.2A,14:47,Tuesday,Poster 1.2,31,Rui Zhu,"Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei?" -63,Rethinking Knowledge Graph Propagation for Zero-Shot Learning,129,https://github.com/cyvius96/adgpm,,,,,,,Thursday,Poster 3.2,52,Michael Kampffmeyer,"Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing" -64,Associatively Segmenting Instances and Semantics in Point Clouds,119,https://github.com/WXinlong/ASIS,,,,,,,Tuesday,Poster 1.2,199,Xinlong Wang,"Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia" -65,Feedback Network for Image Super-Resolution,119,https://github.com/Paper99/SRFBN_CVPR19,,,,,,,Tuesday,Poster 1.2,158,Zhen Li,"Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu" +62,Rethinking Knowledge Graph Propagation for Zero-Shot Learning,129,https://github.com/cyvius96/adgpm,,,,,,,Thursday,Poster 3.2,52,Michael Kampffmeyer,"Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing" +63,ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch,129,https://github.com/KimSoybean/ScratchDet,https://mp.weixin.qq.com/s/TZj0QzDXE6QbCY5-pT6RNQ,,,Tuesday,Oral 1.2A,14:47,Tuesday,Poster 1.2,31,Rui Zhu,"Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei?" +64,Feedback Network for Image Super-Resolution,119,https://github.com/Paper99/SRFBN_CVPR19,,,,,,,Tuesday,Poster 1.2,158,Zhen Li,"Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu" +65,Associatively Segmenting Instances and Semantics in Point Clouds,119,https://github.com/WXinlong/ASIS,,,,,,,Tuesday,Poster 1.2,199,Xinlong Wang,"Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia" 66,Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation,111,https://github.com/zhuhao-nju/hmd,,,,Wednesday,Oral 2.1B,09:11,Wednesday,Poster 2.1,113,Hao Zhu,"Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang" 67,Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation,108,https://github.com/xamyzhao/brainstorm,,,,Thursday,Oral 3.1A,08:40,Thursday,Poster 3.1,192,Amy Zhao,"Amy Zhao,?Guha Balakrishnan,?Fr¨¦do Durand,?John V. Guttag,?Adrian V. Dalca" 68,Panoptic Segmentation,107,https://github.com/cocodataset/panopticapi,,,,,,,Thursday,Poster 3.1,47,Alexander Kirillov,"Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang" -69,Unsupervised Person Re-Identification by Soft Multilabel Learning,106,https://github.com/KovenYu/MAR,,,,Tuesday,Oral 1.2A,13:35,Tuesday,Poster 1.2,19,Hong-Xing Yu,"Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai?" -70,GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction,106,https://github.com/barisgecer/ganfit,,,,,,,Tuesday,Poster 1.1,105,Baris Gecer,"Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou" -71,AOGNets: Compositional Grammatical Architectures for Deep Learning,105,https://github.com/xilaili/AOGNet,,,,,,,Wednesday,Poster 2.1,199,Xilai Li,"Xilai Li,?Xi Song,?Tianfu Wu" -72,Class-Balanced Loss Based on Effective Number of Samples,105,https://github.com/richardaecn/class-balanced-loss,,,,,,,Thursday,Poster 3.1,33,Yin Cui,"Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie" +69,GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction,106,https://github.com/barisgecer/ganfit,,,,,,,Tuesday,Poster 1.1,105,Baris Gecer,"Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou" +70,Unsupervised Person Re-Identification by Soft Multilabel Learning,106,https://github.com/KovenYu/MAR,,,,Tuesday,Oral 1.2A,13:35,Tuesday,Poster 1.2,19,Hong-Xing Yu,"Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai?" +71,Class-Balanced Loss Based on Effective Number of Samples,105,https://github.com/richardaecn/class-balanced-loss,,,,,,,Thursday,Poster 3.1,33,Yin Cui,"Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie" +72,AOGNets: Compositional Grammatical Architectures for Deep Learning,105,https://github.com/xilaili/AOGNet,,,,,,,Wednesday,Poster 2.1,199,Xilai Li,"Xilai Li,?Xi Song,?Tianfu Wu" 73,Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding,104,https://github.com/svip-lab/PlanarReconstruction,,,,,,,Tuesday,Poster 1.1,92,Zehao Yu,"Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao" 74,Style Transfer by Relaxed Optimal Transport and Self-Similarity,103,https://github.com/nkolkin13/STROTSS,,,,,,,Thursday,Poster 3.1,143,Nicholas Kolkin,"Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich " 75,Meta-Learning With Differentiable Convex Optimization,102,https://github.com/kjunelee/MetaOptNet,,,,Thursday,Oral 3.2A,13:48,Thursday,Poster 3.2,4,Kwonjoon Lee,"Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto" @@ -80,1068 +80,1068 @@ 79,Revisiting Self-Supervised Visual Representation Learning,88,https://github.com/google/revisiting-self-supervised,,,,,,,Tuesday,Poster 1.1,194,Alexander Kolesnikov,"Alexander Kolesnikov,?Xiaohua Zhai,?Lucas Beyer" 80,Learning Attraction Field Representation for Robust Line Segment Detection,87,https://github.com/cherubicXN/afm_cvpr2019,,,,,,,Tuesday,Poster 1.1,161,Nan Xue,"Nan Xue,?Song Bai,?Fudong Wang,?Gui-Song Xia,?Tianfu Wu,?Liangpei Zhang" 81,Animating Arbitrary Objects via Deep Motion Transfer,86,https://github.com/AliaksandrSiarohin/monkey-net,,,,Tuesday,Oral 1.2B,14:06,Tuesday,Poster 1.2,124,Aliaksandr Siarohin,"Aliaksandr Siarohin,?St¨¦phane Lathuili¨¨re,?Sergey Tulyakov,?Elisa Ricci,?Nicu Sebe" -82,CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark,81,https://github.com/Jeff-sjtu/CrowdPose,,,,Thursday,Oral 3.2B,14:06,Thursday,Poster 3.2,98,Jiefeng Li,"Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu" -83,Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction,81,https://github.com/chenhsuanlin/photometric-mesh-optim,,https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/,,,,,Tuesday,Poster 1.1,86,Chen-Hsuan Lin,"Pelin Dogan, Leonid Sigal, Markus Gross" +82,Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction,81,https://github.com/chenhsuanlin/photometric-mesh-optim,,https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/,,,,,Tuesday,Poster 1.1,86,Chen-Hsuan Lin,"Pelin Dogan, Leonid Sigal, Markus Gross" +83,CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark,81,https://github.com/Jeff-sjtu/CrowdPose,,,,Thursday,Oral 3.2B,14:06,Thursday,Poster 3.2,98,Jiefeng Li,"Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu" 84,MUREL: Multimodal Relational Reasoning for Visual Question Answering,78,https://github.com/Cadene/murel.bootstrap.pytorch,https://zhuanlan.zhihu.com/p/60972299,,,,,,Tuesday,Poster 1.1,201,Remi Cadene,"Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome" -85,Fast Human Pose Estimation,77,https://github.com/yuanyuanli85/Fast_Human_Pose_Estimation_Pytorch,,,,,,,Tuesday,Poster 1.2,104,Feng Zhang,"Feng Zhang, Xiatian Zhu, Mao Ye" -86,RVOS: End-To-End Recurrent Network for Video Object Segmentation,77,https://github.com/imatge-upc/rvos,,,,,,,Wednesday,Poster 2.1,73,Carles Ventura,"Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto" -87,3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans,76,https://github.com/Sekunde/3D-SIS,,,,Wednesday,Oral 2.1B,08:30,Wednesday,Poster 2.1,106,Ji Hou,Ji Hou Angela Dai Matthias Nie?ner -88,Pose2Seg: Detection Free Human Instance Segmentation,76,https://github.com/liruilong940607/Pose2Seg,,http://www.liruilong.cn/Pose2Seg/index.html?,,,,,Tuesday,Poster 1.1,66,Song-Hai Zhang,"Song-Hai Zhang, Ruilong Li, Xin Dong, Paul L. Rosin, Zixi Cai, Han Xi, Dingcheng Yang, Hao-Zhi Huang, Shi-Min Hu" +85,RVOS: End-To-End Recurrent Network for Video Object Segmentation,77,https://github.com/imatge-upc/rvos,,,,,,,Wednesday,Poster 2.1,73,Carles Ventura,"Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto" +86,Fast Human Pose Estimation,77,https://github.com/yuanyuanli85/Fast_Human_Pose_Estimation_Pytorch,,,,,,,Tuesday,Poster 1.2,104,Feng Zhang,"Feng Zhang, Xiatian Zhu, Mao Ye" +87,Pose2Seg: Detection Free Human Instance Segmentation,76,https://github.com/liruilong940607/Pose2Seg,,http://www.liruilong.cn/Pose2Seg/index.html?,,,,,Tuesday,Poster 1.1,66,Song-Hai Zhang,"Song-Hai Zhang, Ruilong Li, Xin Dong, Paul L. Rosin, Zixi Cai, Han Xi, Dingcheng Yang, Hao-Zhi Huang, Shi-Min Hu" +88,3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans,76,https://github.com/Sekunde/3D-SIS,,,,Wednesday,Oral 2.1B,08:30,Wednesday,Poster 2.1,106,Ji Hou,Ji Hou Angela Dai Matthias Nie?ner 89,PoseFix: Model-Agnostic General Human Pose Refinement Network,75,https://github.com/mks0601/PoseFix_RELEASE,,,,,,,Wednesday,Poster 2.2,105,Gyeongsik Moon,"Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee " 90,FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search,73,https://github.com/JunrQ/NAS,,,,Thursday,Oral 3.2A,14:34,Thursday,Poster 3.2,12,Bichen Wu,"Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer" 91,In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images,72,https://github.com/orsic/swiftnet,,,,,,,Thursday,Poster 3.2,202,Marin Orsic,"Marin Or?i?, Ivan Kre?o, Petra Bevandi?, Sini?a ?egvi?" -92,Learning Linear Transformations for Fast Image and Video Style Transfer,71,https://github.com/sunshineatnoon/LinearStyleTransfer,,https://sites.google.com/view/linear-style-transfer-cvpr19/,,,,,Tuesday,Poster 1.2,152,Xueting Li,"Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang" +92,Depth-Aware Video Frame Interpolation,71,https://github.com/baowenbo/DAIN,,,,,,,Tuesday,Poster 1.2,141,Wenbo Bao,"Wenbo Bao Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang" 93,PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet,71,https://github.com/hmgoforth/PointNetLK,,,,,,,Wednesday,Poster 2.2,24,Yasuhiro Aoki,"Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey" -94,Depth-Aware Video Frame Interpolation,71,https://github.com/baowenbo/DAIN,,,,,,,Tuesday,Poster 1.2,141,Wenbo Bao,"Wenbo Bao Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang" +94,Learning Linear Transformations for Fast Image and Video Style Transfer,71,https://github.com/sunshineatnoon/LinearStyleTransfer,,https://sites.google.com/view/linear-style-transfer-cvpr19/,,,,,Tuesday,Poster 1.2,152,Xueting Li,"Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang" 95,Relation-Shape Convolutional Neural Network for Point Cloud Analysis,70,https://github.com/Yochengliu/Relation-Shape-CNN,https://mp.weixin.qq.com/s/KuoHFPpUYHPFacsBWZWVSg,https://yochengliu.github.io/Relation-Shape-CNN/,,Thursday,Oral 3.1C,09:16,Thursday,Poster 3.1,63,Yongcheng Liu,"Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan" -96,Tightness-Aware Evaluation Protocol for Scene Text Detection,69,https://github.com/Yuliang-Liu/TIoU-metric,,,,,,,Thursday,Poster 3.1,98,Yuliang Liu,"Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie " -97,"Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions",69,https://github.com/aimagelab/show-control-and-tell,,,,,,,Wednesday,Poster 2.2,195,Marcella Cornia,"Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara" +96,"Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions",69,https://github.com/aimagelab/show-control-and-tell,,,,,,,Wednesday,Poster 2.2,195,Marcella Cornia,"Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara" +97,Tightness-Aware Evaluation Protocol for Scene Text Detection,69,https://github.com/Yuliang-Liu/TIoU-metric,,,,,,,Thursday,Poster 3.1,98,Yuliang Liu,"Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie " 98,Noise-Tolerant Paradigm for Training Face Recognition CNNs,68,https://github.com/huangyangyu/NoiseFace,,,,,,,Thursday,Poster 3.2,111,Wei Hu,"Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li" 99,Strong-Weak Distribution Alignment for Adaptive Object Detection,67,https://github.com/VisionLearningGroup/DA_Detection,,,,,,,Wednesday,Poster 2.2,3,Kuniaki Saito,"Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko" 100,Parsing R-CNN for Instance-Level Human Analysis,65,https://github.com/soeaver/Parsing-R-CNN,,,,,,,Tuesday,Poster 1.1,13,Lu Yang,"Lu Yang, Qing Song, Zhihui Wang, Ming Jiang" -101,Group-Wise Correlation Stereo Network,63,https://github.com/xy-guo/GwcNet,,,,,,,Tuesday,Poster 1.2,80,Xiaoyang Guo,"Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li " -102,The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation,63,https://github.com/chihyaoma/regretful-agent,,,,Wednesday,Oral 2.2B,15:00,Wednesday,Poster 2.2,192,Chih-Yao Ma,"Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira" -103,Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision,61,https://github.com/soubhiksanyal/RingNet,,https://ringnet.is.tue.mpg.de/,,,,,Wednesday,Poster 2.2,104,Soubhik Sanyal,"Soubhik Sanyal, Timo Bolkart, Haiwen Feng, Michael J. Black" +101,The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation,63,https://github.com/chihyaoma/regretful-agent,,,,Wednesday,Oral 2.2B,15:00,Wednesday,Poster 2.2,192,Chih-Yao Ma,"Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira" +102,Group-Wise Correlation Stereo Network,63,https://github.com/xy-guo/GwcNet,,,,,,,Tuesday,Poster 1.2,80,Xiaoyang Guo,"Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li " +103,Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation,61,https://github.com/Ha0Tang/SelectionGAN,,,,Tuesday,Oral 1.2B,14:29,Tuesday,Poster 1.2,128,Hao Tang,"Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan" 104,Scan2CAD: Learning CAD Model Alignment in RGB-D Scans,61,https://github.com/skanti/Scan2CAD,,,,Tuesday,Oral 1.2C,14:42,Tuesday,Poster 1.2,178,Armen Avetisyan,"Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nie?ner " -105,Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation,61,https://github.com/Ha0Tang/SelectionGAN,,,,Tuesday,Oral 1.2B,14:29,Tuesday,Poster 1.2,128,Hao Tang,"Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan" -106,Disentangled Representation Learning for 3D Face Shape,59,https://github.com/zihangJiang/DR-Learning-for-3D-Face,,,,,,,Thursday,Poster 3.2,118,Zi-Hang Jiang,"Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang" -107,Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search,59,https://github.com/lixincn2015/Partial-Order-Pruning,,,,,,,Thursday,Poster 3.1,20,Xin Li,"Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng " -108,End-To-End Multi-Task Learning With Attention,57,https://github.com/lorenmt/mtan,,,,,,,Tuesday,Poster 1.1,189,Shikun Liu,"Shikun Liu, Edward Johns, Andrew J. Davison" -109,Video Generation From Single Semantic Label Map,57,https://github.com/junting/seg2vid,,,,,,,Tuesday,Poster 1.2,144,Junting Pan,"Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang" -110,Efficient Parameter-Free Clustering Using First Neighbor Relations,56,https://github.com/ssarfraz/FINCH-CLustering,,,,Thursday,Oral 3.1C,09:42,Thursday,Poster 3.1,67,Saquib Sarfraz,"M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen" -111,Attention Branch Network: Learning of Attention Mechanism for Visual Explanation,56,https://github.com/machine-perception-robotics-group/attention_branch_network,,,,Thursday,Oral 3.2A,14:16,Thursday,Poster 3.2,9,Hiroshi Fukui,"Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi" +105,Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision,61,https://github.com/soubhiksanyal/RingNet,,https://ringnet.is.tue.mpg.de/,,,,,Wednesday,Poster 2.2,104,Soubhik Sanyal,"Soubhik Sanyal, Timo Bolkart, Haiwen Feng, Michael J. Black" +106,Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search,59,https://github.com/lixincn2015/Partial-Order-Pruning,,,,,,,Thursday,Poster 3.1,20,Xin Li,"Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng " +107,Disentangled Representation Learning for 3D Face Shape,59,https://github.com/zihangJiang/DR-Learning-for-3D-Face,,,,,,,Thursday,Poster 3.2,118,Zi-Hang Jiang,"Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang" +108,Video Generation From Single Semantic Label Map,57,https://github.com/junting/seg2vid,,,,,,,Tuesday,Poster 1.2,144,Junting Pan,"Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang" +109,End-To-End Multi-Task Learning With Attention,57,https://github.com/lorenmt/mtan,,,,,,,Tuesday,Poster 1.1,189,Shikun Liu,"Shikun Liu, Edward Johns, Andrew J. Davison" +110,DVC: An End-To-End Deep Video Compression Framework,56,https://github.com/GuoLusjtu/DVC,,,,Thursday,Oral 3.2C,13:40,Thursday,Poster 3.2,149,Guo Lu,"Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao " +111,Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration,56,https://github.com/he-y/filter-pruning-geometric-median,,,,Wednesday,Oral 2.1A,09:11,Wednesday,Poster 2.1,8,Yang He,"Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang" 112,FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery,56,https://github.com/kkanshul/finegan,,,,Wednesday,Oral 2.2A,14:24,Wednesday,Poster 2.2,34,Krishna Kumar Singh,"Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee" -113,Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration,56,https://github.com/he-y/filter-pruning-geometric-median,,,,Wednesday,Oral 2.1A,09:11,Wednesday,Poster 2.1,8,Yang He,"Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang" -114,DVC: An End-To-End Deep Video Compression Framework,56,https://github.com/GuoLusjtu/DVC,,,,Thursday,Oral 3.2C,13:40,Thursday,Poster 3.2,149,Guo Lu,"Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao " +113,Attention Branch Network: Learning of Attention Mechanism for Visual Explanation,56,https://github.com/machine-perception-robotics-group/attention_branch_network,,,,Thursday,Oral 3.2A,14:16,Thursday,Poster 3.2,9,Hiroshi Fukui,"Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi" +114,Efficient Parameter-Free Clustering Using First Neighbor Relations,56,https://github.com/ssarfraz/FINCH-CLustering,,,,Thursday,Oral 3.1C,09:42,Thursday,Poster 3.1,67,Saquib Sarfraz,"M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen" 115,Adaptively Connected Neural Networks,53,https://github.com/wanggrun/Adaptively-Connected-Neural-Networks,,,,,,,Tuesday,Poster 1.1,180,Guangrun Wang,"Guangrun Wang, Keze Wang, Liang Lin" 116,Linkage Based Face Clustering via Graph Convolution Network,52,https://github.com/Zhongdao/gcn_clustering,,,,,,,Tuesday,Poster 1.1,101,Zhongdao Wang,"Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang" 117,Unsupervised Deep Tracking,50,https://github.com/594422814/UDT,,,,,,,Tuesday,Poster 1.1,132,Ning Wang,"Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li" -118,Spatiotemporal CNN for Video Object Segmentation,48,https://github.com/longyin880815/STCNN,,,,,,,Tuesday,Poster 1.1,139,Kai Xu,"Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang" +118,Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images,48,https://github.com/chenwydj/ultra_high_resolution_segmentation,,,,Thursday,Oral 3.1C,09:34,Thursday,Poster 3.1,66,Wuyang Chen,"Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian" 119,Improving Transferability of Adversarial Examples With Input Diversity,48,https://github.com/cihangxie/DI-2-FGSM,,,,,,,Tuesday,Poster 1.2,7,Cihang Xie,Cihang Xie; Yuyin Zhou; Song Bai; Zhishuai Zhang; Jianyu Wang; Zhou Ren; Alan Yuille -120,Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images,48,https://github.com/chenwydj/ultra_high_resolution_segmentation,,,,Thursday,Oral 3.1C,09:34,Thursday,Poster 3.1,66,Wuyang Chen,"Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian" -121,Learning to Reconstruct People in Clothing From a Single RGB Camera,47,https://github.com/thmoa/octopus,,,,,,,Tuesday,Poster 1.1,107,Thiemo Alldieck,"Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll " -122,Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses,47,https://github.com/jeromerony/fast_adversarial,,,,Wednesday,Oral 2.1A,08:58,Wednesday,Poster 2.1,6,Jerome Rony,"J¨¦r?me Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger" +120,Spatiotemporal CNN for Video Object Segmentation,48,https://github.com/longyin880815/STCNN,,,,,,,Tuesday,Poster 1.1,139,Kai Xu,"Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang" +121,Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses,47,https://github.com/jeromerony/fast_adversarial,,,,Wednesday,Oral 2.1A,08:58,Wednesday,Poster 2.1,6,Jerome Rony,"J¨¦r?me Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger" +122,Learning to Reconstruct People in Clothing From a Single RGB Camera,47,https://github.com/thmoa/octopus,,,,,,,Tuesday,Poster 1.1,107,Thiemo Alldieck,"Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll " 123,Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects,46,https://github.com/airalcorn2/strike-with-a-pose,,,,,,,Wednesday,Poster 2.1,29,Michael A. Alcorn,"Michael A. Alcorn, Qi Li, Zhitao Gong, Chengfei Wang, Long Mai, Wei-Shinn Ku, Anh Nguyen" 124,Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph,45,https://github.com/yaohungt/GSTEG_CVPR_2019,,,,,,,Thursday,Poster 3.1,181,Yao-Hung Hubert Tsai,"Yao-Hung Hubert Tsai, Santosh Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi" -125,"Capture, Learning, and Synthesis of 3D Speaking Styles",44,https://github.com/TimoBolkart/voca,,,,,,,Thursday,Poster 3.1,148,Daniel Cudeiro,"Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black" -126,Bi-Directional Cascade Network for Perceptual Edge Detection,44,https://github.com/pkuCactus/BDCN,,,,,,,Tuesday,Poster 1.2,154,Jianzhong He,"Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang" -127,Bidirectional Learning for Domain Adaptation of Semantic Segmentation,43,https://github.com/liyunsheng13/BDL,,https://voca.is.tue.mpg.de/,,,,,Wednesday,Poster 2.2,1,Yunsheng Li,"Yunsheng Li, Lu Yuan, Nuno Vasconcelos" -128,"Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres",43,https://github.com/leoshine/Spherical_Regression,,,,,,,Thursday,Poster 3.1,113,Shuai Liao,"Shuai Liao, Efstratios Gavves, Cees G. M. Snoek" -129,Progressive Image Deraining Networks: A Better and Simpler Baseline,41,https://github.com/csdwren/PReNet,,,,,,,Tuesday,Poster 1.2,165,Dongwei Ren,"Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng" -130,Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning,41,https://github.com/allenai/savn,,,,Wednesday,Oral 2.2B,15:10,Wednesday,Poster 2.2,194,Mitchell Wortsman,"Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi" +125,Bi-Directional Cascade Network for Perceptual Edge Detection,44,https://github.com/pkuCactus/BDCN,,,,,,,Tuesday,Poster 1.2,154,Jianzhong He,"Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang" +126,"Capture, Learning, and Synthesis of 3D Speaking Styles",44,https://github.com/TimoBolkart/voca,,,,,,,Thursday,Poster 3.1,148,Daniel Cudeiro,"Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black" +127,"Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres",43,https://github.com/leoshine/Spherical_Regression,,,,,,,Thursday,Poster 3.1,113,Shuai Liao,"Shuai Liao, Efstratios Gavves, Cees G. M. Snoek" +128,Bidirectional Learning for Domain Adaptation of Semantic Segmentation,43,https://github.com/liyunsheng13/BDL,,https://voca.is.tue.mpg.de/,,,,,Wednesday,Poster 2.2,1,Yunsheng Li,"Yunsheng Li, Lu Yuan, Nuno Vasconcelos" +129,Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning,41,https://github.com/allenai/savn,,,,Wednesday,Oral 2.2B,15:10,Wednesday,Poster 2.2,194,Mitchell Wortsman,"Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi" +130,Progressive Image Deraining Networks: A Better and Simpler Baseline,41,https://github.com/csdwren/PReNet,,,,,,,Tuesday,Poster 1.2,165,Dongwei Ren,"Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng" 131,Hierarchical Discrete Distribution Decomposition for Match Density Estimation,40,https://github.com/ucbdrive/hd3,,,,,,,Wednesday,Poster 2.1,181,Zhichao Yin,"Zhichao Yin, Trevor Darrell, Fisher Yu" 132,TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments,38,https://github.com/clic-lab/touchdown,,,,,,,Thursday,Poster 3.2,195,Howard Chen,"Howard Chen, Alane Suhr, Dipendra Misra, Noah Snavely, Yoav Artzi" 133,Meta-Transfer Learning for Few-Shot Learning,37,https://github.com/y2l/meta-transfer-learning-tensorflow,,,,,,,Tuesday,Poster 1.1,17,Qianru Sun,"Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele" -134,The Perfect Match: 3D Point Cloud Matching With Smoothed Densities,35,https://github.com/zgojcic/3DSmoothNet,,,,,,,Wednesday,Poster 2.1,100,Zan Gojcic,"Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser" +134,GA-Net: Guided Aggregation Net for End-To-End Stereo Matching,35,https://github.com/feihuzhang/GANet,,,,Tuesday,Oral 1.1B,09:36,Tuesday,Poster 1.1,78,Feihu Zhang,"Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr" 135,Reliable and Efficient Image Cropping: A Grid Anchor Based Approach,35,https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping,,,,,,,Wednesday,Poster 2.1,171,Hui Zeng,"Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang" -136,GA-Net: Guided Aggregation Net for End-To-End Stereo Matching,35,https://github.com/feihuzhang/GANet,,,,Tuesday,Oral 1.1B,09:36,Tuesday,Poster 1.1,78,Feihu Zhang,"Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr" -137,HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation,33,https://github.com/sunset1995/HorizonNet,,https://sunset1995.github.io/HorizonNet/,,,,,Tuesday,Poster 1.1,94,Cheng Sun,"Cheng Sun, Chi-Wei Hsiao, Min Sun, Hwann-Tzong Chen " -138,Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge,33,https://github.com/fabiotosi92/monoResMatch-Tensorflow,,,,,,,Thursday,Poster 3.1,117,Fabio Tosi,"Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia" -139,Patch-Based Progressive 3D Point Set Upsampling,32,https://github.com/yifita/3PU,,,,,,,Wednesday,Poster 2.1,172,Wang Yifan,"Wang Yifan, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung" -140,Learning Transformation Synchronization,32,https://github.com/xiangruhuang/Learning2Sync,,,,,,,Wednesday,Poster 2.2,154,Xiangru Huang,"Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas Guibas, and Qixing Huang" +136,The Perfect Match: 3D Point Cloud Matching With Smoothed Densities,35,https://github.com/zgojcic/3DSmoothNet,,,,,,,Wednesday,Poster 2.1,100,Zan Gojcic,"Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser" +137,Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge,33,https://github.com/fabiotosi92/monoResMatch-Tensorflow,,,,,,,Thursday,Poster 3.1,117,Fabio Tosi,"Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia" +138,HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation,33,https://github.com/sunset1995/HorizonNet,,https://sunset1995.github.io/HorizonNet/,,,,,Tuesday,Poster 1.1,94,Cheng Sun,"Cheng Sun, Chi-Wei Hsiao, Min Sun, Hwann-Tzong Chen " +139,Explainable and Explicit Visual Reasoning Over Scene Graphs,32,https://github.com/shijx12/XNM-Net,,,,,,,Wednesday,Poster 2.2,202,Jiaxin Shi,"Jiaxin Shi, Hanwang Zhang, Juanzi Li" +140,Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset,32,https://github.com/stevewongv/SPANet,,https://stevewongv.github.io/derain-project.html,,,,,Thursday,Poster 3.2,168,Tianyu Wang,"Tianyu Wang*, Xin Yang*, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson Lau" 141,Aggregation Cross-Entropy for Sequence Recognition,32,https://github.com/summerlvsong/Aggregation-Cross-Entropy,,,,Wednesday,Oral 2.2A,14:52,Wednesday,Poster 2.2,39,Zecheng Xie,"Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie" -142,Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset,32,https://github.com/stevewongv/SPANet,,https://stevewongv.github.io/derain-project.html,,,,,Thursday,Poster 3.2,168,Tianyu Wang,"Tianyu Wang*, Xin Yang*, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson Lau" -143,Explainable and Explicit Visual Reasoning Over Scene Graphs,32,https://github.com/shijx12/XNM-Net,,,,,,,Wednesday,Poster 2.2,202,Jiaxin Shi,"Jiaxin Shi, Hanwang Zhang, Juanzi Li" +142,Learning Transformation Synchronization,32,https://github.com/xiangruhuang/Learning2Sync,,,,,,,Wednesday,Poster 2.2,154,Xiangru Huang,"Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas Guibas, and Qixing Huang" +143,Patch-Based Progressive 3D Point Set Upsampling,32,https://github.com/yifita/3PU,,,,,,,Wednesday,Poster 2.1,172,Wang Yifan,"Wang Yifan, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung" 144,Transferable Interactiveness Knowledge for Human-Object Interaction Detection,31,https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network,,,,,,,Tuesday,Poster 1.2,111,Yong-Lu Li,"Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu" -145,Cascaded Partial Decoder for Fast and Accurate Salient Object Detection,30,https://github.com/wuzhe71/CPD,,,,,,,Tuesday,Poster 1.2,162,Zhe Wu,"Zhe Wu, Li Su, Qingming Huang" -146,Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation,30,https://github.com/sshan-zhao/GASDA,,,,,,,Thursday,Poster 3.1,116,Shanshan Zhao,"Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao" +145,From Coarse to Fine: Robust Hierarchical Localization at Large Scale,30,https://github.com/ethz-asl/hf_net,,,,,,,Thursday,Poster 3.2,213,Paul-Edouard Sarlin,"Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, Marcin Dymczyk" +146,Peeking Into the Future: Predicting Future Person Activities and Locations in Videos,30,https://github.com/google/next-prediction,,,,,,,Wednesday,Poster 2.1,133,Junwei Liang,"Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei " 147,Attention-Aware Multi-Stroke Style Transfer,30,https://github.com/JianqiangRen/AAMS,,https://sites.google.com/view/yuanyao/attention-aware-multi-stroke-style-transfer,,,,,Tuesday,Poster 1.1,148,Yuan Yao,"Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang" -148,Peeking Into the Future: Predicting Future Person Activities and Locations in Videos,30,https://github.com/google/next-prediction,,,,,,,Wednesday,Poster 2.1,133,Junwei Liang,"Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei " -149,From Coarse to Fine: Robust Hierarchical Localization at Large Scale,30,https://github.com/ethz-asl/hf_net,,,,,,,Thursday,Poster 3.2,213,Paul-Edouard Sarlin,"Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, Marcin Dymczyk" -150,Single Image Deraining: A Comprehensive Benchmark Analysis,29,https://github.com/lsy17096535/Single-Image-Deraining,,,,,,,Tuesday,Poster 1.2,155,Siyuan Li,"Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao" +148,Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation,30,https://github.com/sshan-zhao/GASDA,,,,,,,Thursday,Poster 3.1,116,Shanshan Zhao,"Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao" +149,Cascaded Partial Decoder for Fast and Accurate Salient Object Detection,30,https://github.com/wuzhe71/CPD,,,,,,,Tuesday,Poster 1.2,162,Zhe Wu,"Zhe Wu, Li Su, Qingming Huang" +150,Latent Space Autoregression for Novelty Detection,29,https://github.com/aimagelab/novelty-detection,,,,,,,Tuesday,Poster 1.1,25,Davide Abati,"Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara" 151,DeepCaps: Going Deeper With Capsule Networks,29,https://github.com/brjathu/deepcaps,,,,Thursday,Oral 3.2A,14:29,Thursday,Poster 3.2,11,Jathushan Rajasegaran,"Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo" -152,Latent Space Autoregression for Novelty Detection,29,https://github.com/aimagelab/novelty-detection,,,,,,,Tuesday,Poster 1.1,25,Davide Abati,"Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara" -153,Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements,28,https://github.com/Vandermode/ERRNet,,,,,,,Wednesday,Poster 2.2,164,Kaixuan Wei,"Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, Hua Huang " -154,RePr: Improved Training of Convolutional Filters,28,https://github.com/siahuat0727/RePr,,,,Thursday,Oral 3.2A,13:53,Thursday,Poster 3.2,5,Aaditya Prakash,"Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang" +152,Single Image Deraining: A Comprehensive Benchmark Analysis,29,https://github.com/lsy17096535/Single-Image-Deraining,,,,,,,Tuesday,Poster 1.2,155,Siyuan Li,"Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao" +153,RePr: Improved Training of Convolutional Filters,28,https://github.com/siahuat0727/RePr,,,,Thursday,Oral 3.2A,13:53,Thursday,Poster 3.2,5,Aaditya Prakash,"Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang" +154,Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements,28,https://github.com/Vandermode/ERRNet,,,,,,,Wednesday,Poster 2.2,164,Kaixuan Wei,"Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, Hua Huang " 155,Taking a Deeper Look at the Inverse Compositional Algorithm,26,https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm,,,,Wednesday,Oral 2.1C,08:35,Wednesday,Poster 2.1,136,Zhaoyang Lv,"Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger" -156,Learning Metrics From Teachers: Compact Networks for Image Embedding,25,https://github.com/yulu0724/EmbeddingDistillation,,,,,,,Tuesday,Poster 1.2,43,Lu Yu,"Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa" +156,TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes,25,https://github.com/hjwdzh/TextureNet,,,,Wednesday,Oral 2.1B,08:40,Wednesday,Poster 2.1,108,Jingwei Huang,"Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner, and Leonidas Guibas" 157,SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images,25,https://github.com/MeioJane/SIXray,,,,,,,Tuesday,Poster 1.1,214,Caijing Miao,"Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye" -158,TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes,25,https://github.com/hjwdzh/TextureNet,,,,Wednesday,Oral 2.1B,08:40,Wednesday,Poster 2.1,108,Jingwei Huang,"Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner, and Leonidas Guibas" -159,WarpGAN: Automatic Caricature Generation,24,https://github.com/seasonSH/WarpGAN,,,,Thursday,Oral 3.2A,14:52,Thursday,Poster 3.2,15,Yichun Shi,"Yichun Shi, Debayan Deb, Anil K. Jain" +158,Learning Metrics From Teachers: Compact Networks for Image Embedding,25,https://github.com/yulu0724/EmbeddingDistillation,,,,,,,Tuesday,Poster 1.2,43,Lu Yu,"Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa" +159,LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking,24,https://github.com/HengLan/LaSOT_Evaluation_Toolkit,,https://cis.temple.edu/lasot/,,,,,Wednesday,Poster 2.1,83,Heng Fan,"Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling" 160,Camera Lens Super-Resolution,24,https://github.com/ngchc/CameraSR,,,,,,,Tuesday,Poster 1.1,167,Chang Chen,"Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu" -161,LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking,24,https://github.com/HengLan/LaSOT_Evaluation_Toolkit,,https://cis.temple.edu/lasot/,,,,,Wednesday,Poster 2.1,83,Heng Fan,"Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling" -162,"Rob-GAN: Generator, Discriminator, and Adversarial Attacker",23,https://github.com/xuanqing94/RobGAN,,,,,,,Thursday,Poster 3.2,26,Xuanqing Liu,"Xuanqing Liu, Cho-Jui Hsieh" -163,SSN: Learning Sparse Switchable Normalization via SparsestMax,23,https://github.com/switchablenorms/Sparse_SwitchNorm,,,,,,,Tuesday,Poster 1.1,21,Wenqi Shao,"Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo " -164,Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids,23,https://github.com/paschalidoud/superquadric_parsing,,,,,,,Thursday,Poster 3.1,173,Despoina Paschalidou,"Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger" -165,Noise2Void - Learning Denoising From Single Noisy Images,23,https://github.com/juglab/n2v,,,,,,,Tuesday,Poster 1.1,215,Alexander Krull,"Alexander Krull, Tim-Oliver Buchholz, Florian Jug" -166,Transfer Learning via Unsupervised Task Discovery for Visual Question Answering,23,https://github.com/HyeonwooNoh/vqa_task_discovery,,,,,,,Wednesday,Poster 2.2,203,Hyeonwoo Noh,"Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han" -167,Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning,23,https://github.com/gidariss/wDAE_GNN_FewShot,,,,Tuesday,Oral 1.1A,09:10,Tuesday,Poster 1.1,3,Spyros Gidaris,"Spyros Gidaris, Nikos Komodakis" -168,Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders,23,https://github.com/edgarschnfld/CADA-VAE-PyTorch,,,,,,,Wednesday,Poster 2.2,171,Edgar Schonfeld,"Edgar Sch?nfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata" -169,Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval,23,https://github.com/AnjanDutta/sem-pcyc,,,,,,,Wednesday,Poster 2.1,54,Anjan Dutta,"Anjan Dutta, Zeynep Akata " -170,Knowledge-Embedded Routing Network for Scene Graph Generation,22,https://github.com/yuweihao/KERN,,,,,,,Wednesday,Poster 2.1,193,Tianshui Chen,"Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin " -171,Learning to Sample,22,https://github.com/orendv/learning_to_sample,,,,,,,Tuesday,Poster 1.2,10,Oren Dovrat,"Oren Dovrat, Itai Lang, Shai Avidan" -172,Curls & Whey: Boosting Black-Box Adversarial Attacks,21,https://github.com/walegahaha/Curls-Whey,,,,Wednesday,Oral 2.2A,14:42,Wednesday,Poster 2.2,37,Yucheng Shi,"Yucheng Shi, Siyu Wang, Yahong Han" -173,Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation,21,https://github.com/RoyalVane/CLAN,,,,Tuesday,Oral 1.2C,13:35,Tuesday,Poster 1.2,167,Yawei Luo,"Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang" -174,Destruction and Construction Learning for Fine-Grained Image Recognition,21,https://github.com/JDAI-CV/DCL,,,,,,,Wednesday,Poster 2.1,61,Yue Chen, -175,Grounded Video Description,21,https://github.com/facebookresearch/grounded-video-description,,,,Wednesday,Oral 2.2B,13:30,Wednesday,Poster 2.2,177,Luowei Zhou,"Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach" -176,Reasoning Visual Dialogs With Structural and Partial Observations,20,https://github.com/zilongzheng/visdial-gnn,,,,Wednesday,Oral 2.2B,14:24,Wednesday,Poster 2.2,186,Zilong Zheng,"Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu" -177,DAVANet: Stereo Deblurring With View Aggregation,20,https://github.com/sczhou/DAVANet,,,,Thursday,Oral 3.2C,13:35,Thursday,Poster 3.2,148,Shangchen Zhou,"Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren" +161,WarpGAN: Automatic Caricature Generation,24,https://github.com/seasonSH/WarpGAN,,,,Thursday,Oral 3.2A,14:52,Thursday,Poster 3.2,15,Yichun Shi,"Yichun Shi, Debayan Deb, Anil K. Jain" +162,Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval,23,https://github.com/AnjanDutta/sem-pcyc,,,,,,,Wednesday,Poster 2.1,54,Anjan Dutta,"Anjan Dutta, Zeynep Akata " +163,Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders,23,https://github.com/edgarschnfld/CADA-VAE-PyTorch,,,,,,,Wednesday,Poster 2.2,171,Edgar Schonfeld,"Edgar Sch?nfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata" +164,Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning,23,https://github.com/gidariss/wDAE_GNN_FewShot,,,,Tuesday,Oral 1.1A,09:10,Tuesday,Poster 1.1,3,Spyros Gidaris,"Spyros Gidaris, Nikos Komodakis" +165,Transfer Learning via Unsupervised Task Discovery for Visual Question Answering,23,https://github.com/HyeonwooNoh/vqa_task_discovery,,,,,,,Wednesday,Poster 2.2,203,Hyeonwoo Noh,"Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han" +166,Noise2Void - Learning Denoising From Single Noisy Images,23,https://github.com/juglab/n2v,,,,,,,Tuesday,Poster 1.1,215,Alexander Krull,"Alexander Krull, Tim-Oliver Buchholz, Florian Jug" +167,Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids,23,https://github.com/paschalidoud/superquadric_parsing,,,,,,,Thursday,Poster 3.1,173,Despoina Paschalidou,"Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger" +168,SSN: Learning Sparse Switchable Normalization via SparsestMax,23,https://github.com/switchablenorms/Sparse_SwitchNorm,,,,,,,Tuesday,Poster 1.1,21,Wenqi Shao,"Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo " +169,"Rob-GAN: Generator, Discriminator, and Adversarial Attacker",23,https://github.com/xuanqing94/RobGAN,,,,,,,Thursday,Poster 3.2,26,Xuanqing Liu,"Xuanqing Liu, Cho-Jui Hsieh" +170,Learning to Sample,22,https://github.com/orendv/learning_to_sample,,,,,,,Tuesday,Poster 1.2,10,Oren Dovrat,"Oren Dovrat, Itai Lang, Shai Avidan" +171,Knowledge-Embedded Routing Network for Scene Graph Generation,22,https://github.com/yuweihao/KERN,,,,,,,Wednesday,Poster 2.1,193,Tianshui Chen,"Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin " +172,Grounded Video Description,21,https://github.com/facebookresearch/grounded-video-description,,,,Wednesday,Oral 2.2B,13:30,Wednesday,Poster 2.2,177,Luowei Zhou,"Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach" +173,Destruction and Construction Learning for Fine-Grained Image Recognition,21,https://github.com/JDAI-CV/DCL,,,,,,,Wednesday,Poster 2.1,61,Yue Chen, +174,Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation,21,https://github.com/RoyalVane/CLAN,,,,Tuesday,Oral 1.2C,13:35,Tuesday,Poster 1.2,167,Yawei Luo,"Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang" +175,Curls & Whey: Boosting Black-Box Adversarial Attacks,21,https://github.com/walegahaha/Curls-Whey,,,,Wednesday,Oral 2.2A,14:42,Wednesday,Poster 2.2,37,Yucheng Shi,"Yucheng Shi, Siyu Wang, Yahong Han" +176,DAVANet: Stereo Deblurring With View Aggregation,20,https://github.com/sczhou/DAVANet,,,,Thursday,Oral 3.2C,13:35,Thursday,Poster 3.2,148,Shangchen Zhou,"Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren" +177,Reasoning Visual Dialogs With Structural and Partial Observations,20,https://github.com/zilongzheng/visdial-gnn,,,,Wednesday,Oral 2.2B,14:24,Wednesday,Poster 2.2,186,Zilong Zheng,"Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu" 178,3D Point Capsule Networks,19,https://github.com/yongheng1991/3D-point-capsule-networks,,,,,,,Tuesday,Poster 1.1,90,Yongheng Zhao,"Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari " -179,Fast Single Image Reflection Suppression via Convex Optimization,18,https://github.com/yyhz76/reflectSuppress,,,,,,,Wednesday,Poster 2.2,160,Yang Yang,"Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu " -180,Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting,18,https://github.com/researchmm/PEN-Net-for-Inpainting,,,,,,,Tuesday,Poster 1.1,150,Yanhong Zeng,"Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo" +179,Learning to Adapt for Stereo,18,https://github.com/CVLAB-Unibo/Learning2AdaptForStereo,,,,,,,Thursday,Poster 3.1,103,Alessio Tonioni,"Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr" +180,Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation,18,https://github.com/Kelym/FAST,,,,Wednesday,Oral 2.2B,15:05,Wednesday,Poster 2.2,193,Liyiming Ke,"Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha Srinivasa" 181,Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning,18,https://github.com/liruoteng/HeavyRainRemoval,,,,,,,Tuesday,Poster 1.1,165,Ruoteng Li,"Ruotent Li, Loong Fah Cheong, Robby T. Tan" -182,Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation,18,https://github.com/Kelym/FAST,,,,Wednesday,Oral 2.2B,15:05,Wednesday,Poster 2.2,193,Liyiming Ke,"Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha Srinivasa" -183,Learning to Adapt for Stereo,18,https://github.com/CVLAB-Unibo/Learning2AdaptForStereo,,,,,,,Thursday,Poster 3.1,103,Alessio Tonioni,"Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr" +182,Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting,18,https://github.com/researchmm/PEN-Net-for-Inpainting,,,,,,,Tuesday,Poster 1.1,150,Yanhong Zeng,"Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo" +183,Fast Single Image Reflection Suppression via Convex Optimization,18,https://github.com/yyhz76/reflectSuppress,,,,,,,Wednesday,Poster 2.2,160,Yang Yang,"Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu " 184,Deep RNN Framework for Visual Sequential Applications,17,https://github.com/BoPang1996/Deep-RNN-Framework,,,,,,,Tuesday,Poster 1.1,19,Bo Pang,"Bo Pang, Kaiwen Zha, Hanwen Cao, Chen Shi, Cewu Lu" -185,Leveraging Shape Completion for 3D Siamese Tracking,16,https://github.com/SilvioGiancola/ShapeCompletion3DTracking,,,,,,,Tuesday,Poster 1.1,137,Silvio Giancola,"Silvio Giancola, Jesus Zarzar, Bernard Ghanem" -186,JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields,16,https://github.com/pqhieu/JSIS3D,,https://pqhieu.github.io/cvpr19.html?,,Thursday,Oral 3.1C,08:35,Thursday,Poster 3.1,56,Quang-Hieu Pham,"Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung " -187,Unsupervised Embedding Learning via Invariant and Spreading Instance Feature,16,https://github.com/mangye16/Unsupervised_Embedding_Learning,,,,,,,Wednesday,Poster 2.1,198,Mang Ye,"Mang Ye, Xu Zhang, Pong C. Yuen, Shih-Fu Chang" +185,A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images,16,https://github.com/bmmi/denoising-fluorescence,,,,,,,Thursday,Poster 3.2,75,Yide Zhang,"Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, Scott Howard" +186,Supervised Fitting of Geometric Primitives to 3D Point Clouds,16,https://github.com/csimstu2/SPFN,,,,Tuesday,Oral 1.2C,15:05,Tuesday,Poster 1.2,182,Lingxiao Li,"Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas Guibas" +187,Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition,16,https://github.com/limaosen0/AS-GCN,,,,,,,Tuesday,Poster 1.2,112,Maosen Li,"Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian " 188,SparseFool: A Few Pixels Make a Big Difference,16,https://github.com/LTS4/SparseFool,,,,,,,Thursday,Poster 3.1,14,Apostolos Modas,"Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard" -189,Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition,16,https://github.com/limaosen0/AS-GCN,,,,,,,Tuesday,Poster 1.2,112,Maosen Li,"Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian " -190,Supervised Fitting of Geometric Primitives to 3D Point Clouds,16,https://github.com/csimstu2/SPFN,,,,Tuesday,Oral 1.2C,15:05,Tuesday,Poster 1.2,182,Lingxiao Li,"Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas Guibas" -191,A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images,16,https://github.com/bmmi/denoising-fluorescence,,,,,,,Thursday,Poster 3.2,75,Yide Zhang,"Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, Scott Howard" -192,A Bayesian Perspective on the Deep Image Prior,15,https://github.com/ZezhouCheng/GP-DIP,,,,,,,Wednesday,Poster 2.1,90,Zezhou Cheng,"Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon" -193,Segmentation-Driven 6D Object Pose Estimation,15,https://github.com/cvlab-epfl/segmentation-driven-pose,,,,,,,Tuesday,Poster 1.2,91,Yinlin Hu,"Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann" -194,What Object Should I Use? - Task Driven Object Detection,14,https://github.com/yassersouri/task-driven-object-detection,,,,,,,Wednesday,Poster 2.2,88,Johann Sawatzky,"Johann Sawatzky, Yaser Souri, Christian Grund, Juergen Gall" -195,MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation,14,https://github.com/yabufarha/ms-tcn,,,,,,,Tuesday,Poster 1.2,110,Yazan Abu Farha,"Yazan Abu Farha, Juergen Gall" -196,AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data,14,https://github.com/maple-research-lab/AET,,,,Tuesday,Oral 1.2C,13:58,Tuesday,Poster 1.2,171,Liheng Zhang,"Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo" +189,Unsupervised Embedding Learning via Invariant and Spreading Instance Feature,16,https://github.com/mangye16/Unsupervised_Embedding_Learning,,,,,,,Wednesday,Poster 2.1,198,Mang Ye,"Mang Ye, Xu Zhang, Pong C. Yuen, Shih-Fu Chang" +190,JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields,16,https://github.com/pqhieu/JSIS3D,,https://pqhieu.github.io/cvpr19.html?,,Thursday,Oral 3.1C,08:35,Thursday,Poster 3.1,56,Quang-Hieu Pham,"Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung " +191,Leveraging Shape Completion for 3D Siamese Tracking,16,https://github.com/SilvioGiancola/ShapeCompletion3DTracking,,,,,,,Tuesday,Poster 1.1,137,Silvio Giancola,"Silvio Giancola, Jesus Zarzar, Bernard Ghanem" +192,Segmentation-Driven 6D Object Pose Estimation,15,https://github.com/cvlab-epfl/segmentation-driven-pose,,,,,,,Tuesday,Poster 1.2,91,Yinlin Hu,"Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann" +193,A Bayesian Perspective on the Deep Image Prior,15,https://github.com/ZezhouCheng/GP-DIP,,,,,,,Wednesday,Poster 2.1,90,Zezhou Cheng,"Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon" +194,ELASTIC: Improving CNNs With Dynamic Scaling Policies,14,https://github.com/allenai/elastic,,,,Tuesday,Oral 1.2A,14:42,Tuesday,Poster 1.2,30,Huiyu Wang,"Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan Yuille, Mohammad Rastegari" +195,BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames,14,https://github.com/griffbr/BubbleNets,,,,Thursday,Oral 3.1C,09:29,Thursday,Poster 3.1,65,Brent A. Griffin,"Brent A. Griffin, Jason J. Corso" +196,REPAIR: Removing Representation Bias by Dataset Resampling,14,https://github.com/JerryYLi/Dataset-REPAIR,,,,,,,Thursday,Poster 3.1,94,Yi Li,"Yi Li, Nuno Vasconcelos" 197,Label Efficient Semi-Supervised Learning via Graph Filtering,14,https://github.com/liqimai/Efficient-SSL,,,,,,,Thursday,Poster 3.1,95,Qimai Li,Qimai Li£¬Xiao-Ming Wu£¬Han Liu£¬Xiaotong Zhang -198,REPAIR: Removing Representation Bias by Dataset Resampling,14,https://github.com/JerryYLi/Dataset-REPAIR,,,,,,,Thursday,Poster 3.1,94,Yi Li,"Yi Li, Nuno Vasconcelos" -199,BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames,14,https://github.com/griffbr/BubbleNets,,,,Thursday,Oral 3.1C,09:29,Thursday,Poster 3.1,65,Brent A. Griffin,"Brent A. Griffin, Jason J. Corso" -200,ELASTIC: Improving CNNs With Dynamic Scaling Policies,14,https://github.com/allenai/elastic,,,,Tuesday,Oral 1.2A,14:42,Tuesday,Poster 1.2,30,Huiyu Wang,"Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan Yuille, Mohammad Rastegari" -201,Learning Actor Relation Graphs for Group Activity Recognition,13,https://github.com/wjchaoGit/Group-Activity-Recognition,,,,,,,Thursday,Poster 3.1,134,Jianchao Wu,"Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu" -202,Sliced Wasserstein Generative Models,13,https://github.com/musikisomorphie/swd,,,,,,,Tuesday,Poster 1.2,142,Jiqing Wu,"Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool" -203,Leveraging the Invariant Side of Generative Zero-Shot Learning,13,https://github.com/lijin118/LisGAN,,,,,,,Wednesday,Poster 2.2,67,Jingjing Li,"Jingjing Li, Mengmeng Jin, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang" -204,Locating Objects Without Bounding Boxes,13,https://github.com/javiribera/locating-objects-without-bboxes,,,,Wednesday,Oral 2.2A,14:16,Wednesday,Poster 2.2,33,Javier Ribera,"Javier Ribera, David G¨¹era, Yuhao Chen, Edward J. Delp" -205,Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics,12,https://github.com/Yunbo426/MIM,,,,,,,Thursday,Poster 3.1,21,Yunbo Wang,"Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S Yu" -206,ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation,12,https://github.com/valeoai/ADVENT,,,,Tuesday,Oral 1.2C,13:40,Tuesday,Poster 1.2,168,Tuan-Hung Vu,"Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick P¨¦rez" -207,Object Counting and Instance Segmentation With Image-Level Supervision,12,https://github.com/GuoleiSun/CountSeg,,,,,,,Thursday,Poster 3.2,181,Hisham Cholakkal,"Hisham Cholakkal, Guolei Sun (equal contribution), Fahad Shahbaz Khan, Ling Shao" -208,LiFF: Light Field Features in Scale and Depth,12,https://github.com/doda42/LiFF,,,,,,,Wednesday,Poster 2.2,150,Donald G. Dansereau,"Donald G. Dansereau, Bernd Girod, Gordon Wetzstein" -209,Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network,12,https://github.com/chaneyddtt/Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network,,,,,,,Thursday,Poster 3.1,126,Chen Li,"Chen Li, Gim Hee Lee" -210,Unsupervised Learning of Action Classes With Continuous Temporal Embedding,12,https://github.com/annusha/unsup_temp_embed,,,,,,,Thursday,Poster 3.2,129,Anna Kukleva,"Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall" -211,Elastic Boundary Projection for 3D Medical Image Segmentation,11,https://github.com/twni2016/Elastic-Boundary-Projection,,,,,,,Tuesday,Poster 1.1,213,Tianwei Ni,"Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille" -212,Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos,11,https://github.com/RomeroBarata/skeleton_based_anomaly_detection,,,,,,,Thursday,Poster 3.2,122,Romero Morais,"Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, Svetha Venkatesh " +198,AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data,14,https://github.com/maple-research-lab/AET,,,,Tuesday,Oral 1.2C,13:58,Tuesday,Poster 1.2,171,Liheng Zhang,"Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo" +199,MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation,14,https://github.com/yabufarha/ms-tcn,,,,,,,Tuesday,Poster 1.2,110,Yazan Abu Farha,"Yazan Abu Farha, Juergen Gall" +200,What Object Should I Use? - Task Driven Object Detection,14,https://github.com/yassersouri/task-driven-object-detection,,,,,,,Wednesday,Poster 2.2,88,Johann Sawatzky,"Johann Sawatzky, Yaser Souri, Christian Grund, Juergen Gall" +201,Locating Objects Without Bounding Boxes,13,https://github.com/javiribera/locating-objects-without-bboxes,,,,Wednesday,Oral 2.2A,14:16,Wednesday,Poster 2.2,33,Javier Ribera,"Javier Ribera, David G¨¹era, Yuhao Chen, Edward J. Delp" +202,Leveraging the Invariant Side of Generative Zero-Shot Learning,13,https://github.com/lijin118/LisGAN,,,,,,,Wednesday,Poster 2.2,67,Jingjing Li,"Jingjing Li, Mengmeng Jin, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang" +203,Sliced Wasserstein Generative Models,13,https://github.com/musikisomorphie/swd,,,,,,,Tuesday,Poster 1.2,142,Jiqing Wu,"Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool" +204,Learning Actor Relation Graphs for Group Activity Recognition,13,https://github.com/wjchaoGit/Group-Activity-Recognition,,,,,,,Thursday,Poster 3.1,134,Jianchao Wu,"Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu" +205,Unsupervised Learning of Action Classes With Continuous Temporal Embedding,12,https://github.com/annusha/unsup_temp_embed,,,,,,,Thursday,Poster 3.2,129,Anna Kukleva,"Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall" +206,Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network,12,https://github.com/chaneyddtt/Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network,,,,,,,Thursday,Poster 3.1,126,Chen Li,"Chen Li, Gim Hee Lee" +207,LiFF: Light Field Features in Scale and Depth,12,https://github.com/doda42/LiFF,,,,,,,Wednesday,Poster 2.2,150,Donald G. Dansereau,"Donald G. Dansereau, Bernd Girod, Gordon Wetzstein" +208,Object Counting and Instance Segmentation With Image-Level Supervision,12,https://github.com/GuoleiSun/CountSeg,,,,,,,Thursday,Poster 3.2,181,Hisham Cholakkal,"Hisham Cholakkal, Guolei Sun (equal contribution), Fahad Shahbaz Khan, Ling Shao" +209,ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation,12,https://github.com/valeoai/ADVENT,,,,Tuesday,Oral 1.2C,13:40,Tuesday,Poster 1.2,168,Tuan-Hung Vu,"Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick P¨¦rez" +210,Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics,12,https://github.com/Yunbo426/MIM,,,,,,,Thursday,Poster 3.1,21,Yunbo Wang,"Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S Yu" +211,Lending Orientation to Neural Networks for Cross-View Geo-Localization,11,https://github.com/Liumouliu/OriCNN,,,,,,,Wednesday,Poster 2.1,123,Liu Liu,"Liu Liu, Hongdong Li" +212,Query-Guided End-To-End Person Search,11,https://github.com/munjalbharti/Query-guided-End-to-End-Person-Search,,,,,,,Tuesday,Poster 1.1,58,Bharti Munjal,"Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso" 213,Timeception for Complex Action Recognition,11,https://github.com/noureldien/timeception,,,,Tuesday,Oral 1.1C,09:05,Tuesday,Poster 1.1,110,Noureldien Hussein,"Noureldien Hussein, Efstratios Gavves, Arnold W.M. Smeulders" -214,Query-Guided End-To-End Person Search,11,https://github.com/munjalbharti/Query-guided-End-to-End-Person-Search,,,,,,,Tuesday,Poster 1.1,58,Bharti Munjal,"Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso" -215,Lending Orientation to Neural Networks for Cross-View Geo-Localization,11,https://github.com/Liumouliu/OriCNN,,,,,,,Wednesday,Poster 2.1,123,Liu Liu,"Liu Liu, Hongdong Li" -216,Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction,10,https://github.com/weiyithu/OptimizeMVS,,,,,,,Thursday,Poster 3.1,102,Yi Wei,"Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou" -217,MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation,10,https://github.com/shuangjiexu/MHP-VOS,,,,Tuesday,Oral 1.1C,09:41,Tuesday,Poster 1.1,116,Shuangjie Xu,"Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou" -218,BASNet: Boundary-Aware Salient Object Detection,10,https://github.com/NathanUA/BASNet,,,,,,,Wednesday,Poster 2.2,75,Xuebin Qin,"Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan and Martin Jagersand" -219,Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration,10,https://github.com/liu-vis/DualResidualNetworks,,,,,,,Wednesday,Poster 2.2,8,Xing Liu,"Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani" -220,Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation,10,https://github.com/jspenmar/SAND_features,,,,,,,Wednesday,Poster 2.1,197,Jaime Spencer,"Jaime Spencer, Richard Bowden, Simon Hadfield" -221,Domain Generalization by Solving Jigsaw Puzzles,10,https://github.com/fmcarlucci/JigenDG,,,,Tuesday,Oral 1.2A,14:24,Tuesday,Poster 1.2,27,Fabio M. Carlucci,"Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi " -222,Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers,9,https://github.com/zhen-he/tracking-by-animation,,,,,,,Tuesday,Poster 1.1,133,Zhen He,"Zhen He, Jian Li, Daxue Liu, Hangen He, David Barber" -223,C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection,9,https://github.com/Winfrand/C-MIL,,,,Tuesday,Oral 1.2A,14:06,Tuesday,Poster 1.2,24,Fang Wan,"Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye" -224,Reversible GANs for Memory-Efficient Image-To-Image Translation,9,https://github.com/tychovdo/RevGAN,,,,,,,Wednesday,Poster 2.1,16,Tycho F.A. van der Ouderaa,"Tycho F.A. van der Ouderaa, Daniel E. Worrall" -225,PPGNet: Learning Point-Pair Graph for Line Segment Detection,9,https://github.com/svip-lab/PPGNet,,,,,,,Wednesday,Poster 2.2,18,Ziheng Zhang,"Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao" +214,Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos,11,https://github.com/RomeroBarata/skeleton_based_anomaly_detection,,,,,,,Thursday,Poster 3.2,122,Romero Morais,"Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, Svetha Venkatesh " +215,Elastic Boundary Projection for 3D Medical Image Segmentation,11,https://github.com/twni2016/Elastic-Boundary-Projection,,,,,,,Tuesday,Poster 1.1,213,Tianwei Ni,"Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille" +216,Domain Generalization by Solving Jigsaw Puzzles,10,https://github.com/fmcarlucci/JigenDG,,,,Tuesday,Oral 1.2A,14:24,Tuesday,Poster 1.2,27,Fabio M. Carlucci,"Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi " +217,Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation,10,https://github.com/jspenmar/SAND_features,,,,,,,Wednesday,Poster 2.1,197,Jaime Spencer,"Jaime Spencer, Richard Bowden, Simon Hadfield" +218,Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration,10,https://github.com/liu-vis/DualResidualNetworks,,,,,,,Wednesday,Poster 2.2,8,Xing Liu,"Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani" +219,BASNet: Boundary-Aware Salient Object Detection,10,https://github.com/NathanUA/BASNet,,,,,,,Wednesday,Poster 2.2,75,Xuebin Qin,"Zichen Zhang, Chenyang Huang, Chao Gao, Masood Dehghan and Martin Jagersand" +220,MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation,10,https://github.com/shuangjiexu/MHP-VOS,,,,Tuesday,Oral 1.1C,09:41,Tuesday,Poster 1.1,116,Shuangjie Xu,"Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou" +221,Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction,10,https://github.com/weiyithu/OptimizeMVS,,,,,,,Thursday,Poster 3.1,102,Yi Wei,"Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou" +222,Iterative Normalization: Beyond Standardization Towards Efficient Whitening,9,https://github.com/huangleiBuaa/IterNorm,,,,,,,Wednesday,Poster 2.1,32,Lei Huang,"Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao " +223,Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics,9,https://github.com/laura-wang/video_repres_mas,,,,,,,Tuesday,Poster 1.2,190,Jiangliu Wang,"Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Yunhui Liu, Wei Liu" +224,Regularizing Activation Distribution for Training Binarized Deep Networks,9,https://github.com/ruizhoud/DistributionLoss,,,,,,,Thursday,Poster 3.2,44,Ruizhou Ding,"Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu" +225,Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions,9,https://github.com/sg-nm/Operation-wise-attention-network,,,,,,,Thursday,Poster 3.1,9,Masanori Suganuma,"Masanori Suganuma, Xing Liu, Takayuki Okatani" 226,Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model,9,https://github.com/smilell/AG-CNN,,,,,,,Thursday,Poster 3.1,211,Liu Li,"Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu" -227,Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions,9,https://github.com/sg-nm/Operation-wise-attention-network,,,,,,,Thursday,Poster 3.1,9,Masanori Suganuma,"Masanori Suganuma, Xing Liu, Takayuki Okatani" -228,Regularizing Activation Distribution for Training Binarized Deep Networks,9,https://github.com/ruizhoud/DistributionLoss,,,,,,,Thursday,Poster 3.2,44,Ruizhou Ding,"Ruizhou Ding, Ting-Wu Chin, Zeye Liu, Diana Marculescu" -229,Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics,9,https://github.com/laura-wang/video_repres_mas,,,,,,,Tuesday,Poster 1.2,190,Jiangliu Wang,"Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Yunhui Liu, Wei Liu" -230,Iterative Normalization: Beyond Standardization Towards Efficient Whitening,9,https://github.com/huangleiBuaa/IterNorm,,,,,,,Wednesday,Poster 2.1,32,Lei Huang,"Lei Huang, Yi Zhou, Fan Zhu, Li Liu, Ling Shao " -231,Multi-Source Weak Supervision for Saliency Detection,8,https://github.com/zengxianyu/mws,,,,,,,Wednesday,Poster 2.1,184,Yu Zeng,"Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu " -232,A Cross-Season Correspondence Dataset for Robust Semantic Segmentation,8,https://github.com/maunzzz/cross-season-segmentation,,,,,,,Thursday,Poster 3.1,75,Mans Larsson,"M?ns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl " -233,Edge-Labeling Graph Neural Network for Few-Shot Learning,8,https://github.com/khy0809/fewshot-egnn,,,,Tuesday,Oral 1.1A,09:05,Tuesday,Poster 1.1,2,Jongmin Kim,"Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo" -234,HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs,8,https://github.com/irvinxav/Efficient-HetConv-Heterogeneous-Kernel-Based-Convolutions,,,,,,,Wednesday,Poster 2.1,28,Pravendra Singh,"Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri " -235,Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering,8,https://github.com/fanchenyou/HME-VideoQA,,,,,,,Tuesday,Poster 1.1,202,Chenyou Fan,"Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang" -236,2.5D Visual Sound,8,https://github.com/facebookresearch/FAIR-Play,,http://vision.cs.utexas.edu/projects/2.5D_visual_sound/,,Tuesday,Oral 1.1C,09:46,Tuesday,Poster 1.1,117,Ruohan Gao,"Ruohan Gao, Kristen Grauman" -237,DLOW: Domain Flow for Adaptation and Generalization,8,https://github.com/ETHRuiGong/DLOW,,,,Tuesday,Oral 1.2B,15:05,Tuesday,Poster 1.2,134,Rui Gong,"Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool" -238,Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention,8,https://github.com/debadeepta/vnla,,,,,,,Thursday,Poster 3.2,194,Khanh Nguyen,"Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan" -239,Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks,7,https://github.com/sitzikbs/Nesti-Net,,,,,,,Thursday,Poster 3.1,149,Yizhak Ben-Shabat,"Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer" +227,PPGNet: Learning Point-Pair Graph for Line Segment Detection,9,https://github.com/svip-lab/PPGNet,,,,,,,Wednesday,Poster 2.2,18,Ziheng Zhang,"Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao" +228,Reversible GANs for Memory-Efficient Image-To-Image Translation,9,https://github.com/tychovdo/RevGAN,,,,,,,Wednesday,Poster 2.1,16,Tycho F.A. van der Ouderaa,"Tycho F.A. van der Ouderaa, Daniel E. Worrall" +229,C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection,9,https://github.com/Winfrand/C-MIL,,,,Tuesday,Oral 1.2A,14:06,Tuesday,Poster 1.2,24,Fang Wan,"Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye" +230,Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers,9,https://github.com/zhen-he/tracking-by-animation,,,,,,,Tuesday,Poster 1.1,133,Zhen He,"Zhen He, Jian Li, Daxue Liu, Hangen He, David Barber" +231,Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention,8,https://github.com/debadeepta/vnla,,,,,,,Thursday,Poster 3.2,194,Khanh Nguyen,"Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan" +232,DLOW: Domain Flow for Adaptation and Generalization,8,https://github.com/ETHRuiGong/DLOW,,,,Tuesday,Oral 1.2B,15:05,Tuesday,Poster 1.2,134,Rui Gong,"Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool" +233,2.5D Visual Sound,8,https://github.com/facebookresearch/FAIR-Play,,http://vision.cs.utexas.edu/projects/2.5D_visual_sound/,,Tuesday,Oral 1.1C,09:46,Tuesday,Poster 1.1,117,Ruohan Gao,"Ruohan Gao, Kristen Grauman" +234,Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering,8,https://github.com/fanchenyou/HME-VideoQA,,,,,,,Tuesday,Poster 1.1,202,Chenyou Fan,"Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang, Heng Huang" +235,HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs,8,https://github.com/irvinxav/Efficient-HetConv-Heterogeneous-Kernel-Based-Convolutions,,,,,,,Wednesday,Poster 2.1,28,Pravendra Singh,"Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri " +236,Edge-Labeling Graph Neural Network for Few-Shot Learning,8,https://github.com/khy0809/fewshot-egnn,,,,Tuesday,Oral 1.1A,09:05,Tuesday,Poster 1.1,2,Jongmin Kim,"Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo" +237,A Cross-Season Correspondence Dataset for Robust Semantic Segmentation,8,https://github.com/maunzzz/cross-season-segmentation,,,,,,,Thursday,Poster 3.1,75,Mans Larsson,"M?ns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl " +238,Multi-Source Weak Supervision for Saliency Detection,8,https://github.com/zengxianyu/mws,,,,,,,Wednesday,Poster 2.1,184,Yu Zeng,"Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu " +239,Noise-Aware Unsupervised Deep Lidar-Stereo Fusion,7,https://github.com/AvrilCheng/LidarStereoNet,,,,,,,Wednesday,Poster 2.1,211,Xuelian Cheng,"Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li" 240,Kervolutional Neural Networks,7,https://github.com/gan3sh500/kervolution-pytorch,,,,Tuesday,Oral 1.1A,09:18,Tuesday,Poster 1.1,4,Chen Wang,"Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan" -241,Noise-Aware Unsupervised Deep Lidar-Stereo Fusion,7,https://github.com/AvrilCheng/LidarStereoNet,,,,,,,Wednesday,Poster 2.1,211,Xuelian Cheng,"Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, Hongdong Li" -242,Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning,6,https://github.com/weichen582/Unsupervised-Visual-Recognition-by-Solving-Arbitrary-Puzzles,,,,,,,Tuesday,Poster 1.1,193,Chen Wei,"Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille " -243,Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images,6,https://github.com/mibastro/VPE,,,,,,,Thursday,Poster 3.1,53,Junsik Kim,"Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon" -244,Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images,6,https://github.com/LARC-CMU-SMU/ACME,,,,,,,Thursday,Poster 3.2,61,Hao Wang,"Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-peng Lim, Steven C. H. Hoi?" -245,Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization,6,https://github.com/junbaoZHUO/UODTN,,,,,,,Tuesday,Poster 1.1,52,Junbao Zhuo,"Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang" +241,Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks,7,https://github.com/sitzikbs/Nesti-Net,,,,,,,Thursday,Poster 3.1,149,Yizhak Ben-Shabat,"Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer" +242,Trust Region Based Adversarial Attack on Neural Networks,6,https://github.com/amirgholami/trattack,,,,,,,Thursday,Poster 3.2,38,Zhewei Yao,"Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney" +243,"Good News, Everyone! Context Driven Entity-Aware Captioning for News Images",6,https://github.com/furkanbiten/GoodNews,,,,,,,Thursday,Poster 3.2,188,Ali Furkan Biten,"Ali Furkan Biten, Lluis Gomez, Mar?al Rusi?ol, Dimosthenis Karatzas" +244,Towards Visual Feature Translation,6,https://github.com/hujiecpp/VisualFeatureTranslation,,,,,,,Tuesday,Poster 1.2,53,Jie Hu,"Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian" +245,Dance With Flow: Two-In-One Stream Action Detection,6,https://github.com/jiaozizhao/Two-in-One-ActionDetection,,,,,,,Thursday,Poster 3.1,131,Jiaojiao Zhao,"Jiaojiao Zhao, Cees G.M. Snoek" 246,A Generative Appearance Model for End-To-End Video Object Segmentation,6,https://github.com/joakimjohnander/agame-vos,,,,Thursday,Oral 3.1C,09:52,Thursday,Poster 3.1,69,Joakim Johnander,"Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg" -247,Dance With Flow: Two-In-One Stream Action Detection,6,https://github.com/jiaozizhao/Two-in-One-ActionDetection,,,,,,,Thursday,Poster 3.1,131,Jiaojiao Zhao,"Jiaojiao Zhao, Cees G.M. Snoek" -248,Towards Visual Feature Translation,6,https://github.com/hujiecpp/VisualFeatureTranslation,,,,,,,Tuesday,Poster 1.2,53,Jie Hu,"Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian" -249,"Good News, Everyone! Context Driven Entity-Aware Captioning for News Images",6,https://github.com/furkanbiten/GoodNews,,,,,,,Thursday,Poster 3.2,188,Ali Furkan Biten,"Ali Furkan Biten, Lluis Gomez, Mar?al Rusi?ol, Dimosthenis Karatzas" -250,Trust Region Based Adversarial Attack on Neural Networks,6,https://github.com/amirgholami/trattack,,,,,,,Thursday,Poster 3.2,38,Zhewei Yao,"Zhewei Yao, Amir Gholami, Peng Xu, Kurt Keutzer, Michael Mahoney" -251,DeepFlux for Skeletons in the Wild,5,https://github.com/YukangWang/DeepFlux,,,,,,,Wednesday,Poster 2.1,74,Yukang Wang,"Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven Dickinson, Kaleem Siddiqi" -252,Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression,5,https://github.com/yuchaoli/KSE,,,,,,,Tuesday,Poster 1.2,14,Yuchao Li,"Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji" -253,Weakly Supervised Deep Image Hashing Through Tag Embeddings,5,https://github.com/Vijetha1/WDHT,,,,,,,Thursday,Poster 3.1,176,Vijetha Gattupalli,"Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li" -254,Model-Blind Video Denoising via Frame-To-Frame Training,5,https://github.com/tehret/blind-denoising,,,,,,,Thursday,Poster 3.2,40,Thibaud Ehret,"Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias" -255,Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure,5,https://github.com/ShawnDing1994/Centripetal-SGD,,,,,,,Wednesday,Poster 2.1,39,Xiaohan Ding,"Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han" -256,Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning,5,https://github.com/SAP/machine-learning-dgm,,,,,,,Thursday,Poster 3.2,35,Oleksiy Ostapenko,"Oleksiy Ostapenko, Tassilo Klein, Mihai Puscas, Patrick J?hnichen, Moin Nabi" -257,Factor Graph Attention,5,https://github.com/idansc/fga,,,,,,,Tuesday,Poster 1.1,206,Idan Schwartz,"Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing" -258,The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos,5,https://github.com/hazeld/rank-aware-attention-network,,,,,,,Wednesday,Poster 2.2,114,Hazel Doughty,"Hazel Doughty, Walterio Mayol-Cuevas, Dima Damen" -259,NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction,5,https://github.com/ethanygao/NDDR-CNN,,,,,,,Tuesday,Poster 1.2,73,Yuan Gao,"Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille" -260,Cross-Task Weakly Supervised Learning From Instructional Videos,5,https://github.com/DmZhukov/CrossTask,,,,,,,Tuesday,Poster 1.2,106,Dimitri Zhukov,"Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic" -261,RENAS: Reinforced Evolutionary Neural Architecture Search,4,https://github.com/yukang2017/RENAS,,,,,,,Wednesday,Poster 2.1,23,Yukang Chen,"Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang" -262,PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval,4,https://github.com/XLechter/PCAN,,,,,,,Thursday,Poster 3.2,185,Wenxiao Zhang,"Wenxiao Zhang, Chunxia Xiao" -263,Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels,4,https://github.com/pkorus/neural-imaging,,,,Thursday,Oral 3.1A,09:29,Thursday,Poster 3.1,200,Pawel Korus,"Pawel Korus, Nasir Memon" -264,Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera,4,https://github.com/panpanfei/Bringing-a-Blurry-Frame-Alive-at-High-Frame-Rate-with-an-Event-Camera,,,,Wednesday,Oral 2.2C,14:06,Wednesday,Poster 2.2,136,Liyuan Pan,"Liyuan Pan, Cedric Scheerlinck, Xin Yu, Richard Hartley, Miaomiao Liu, Yuchao Dai" -265,SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences,4,https://github.com/intellhave/SDRSAC,,,,Tuesday,Oral 1.1B,09:00,Tuesday,Poster 1.1,72,Huu M. Le,"Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung" -266,A Simple Baseline for Audio-Visual Scene-Aware Dialog,4,https://github.com/idansc/simple-avsd,,,,,,,Thursday,Poster 3.2,196,Idan Schwartz,"Idan Schwartz, Alexander Schwing, Tamir Hazan" -267,Iterative Residual CNNs for Burst Photography Applications,4,https://github.com/cig-skoltech/burst-cvpr-2019,,,,,,,Wednesday,Poster 2.1,169,Filippos Kokkinos,Filippos Kokkinos ? Stamatis Lefkimmiatis -268,Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation,4,https://github.com/aimagelab/art2real,,,,,,,Wednesday,Poster 2.1,161,Matteo Tomei,"Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara" -269,Activity Driven Weakly Supervised Object Detection,3,https://github.com/zhenheny/ADWSOD,,,,,,,Tuesday,Poster 1.2,44,Zhenheng Yang,"Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan" -270,IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition,3,https://github.com/xpwu95/IP102,,,,Thursday,Oral 3.1B,09:42,Thursday,Poster 3.1,89,Xiaoping Wu,Xiaoping Wu£¬Chi Zhan£¬Yu-Kun Lai£¬Ming-Ming Cheng£¬Jufeng Yang -271,Distilling Object Detectors With Fine-Grained Feature Imitation,3,https://github.com/twangnh/Distilling-Object-Detectors,,,,,,,Wednesday,Poster 2.1,38,Tao Wang,Tao Wang£¬Li Yuan£¬Xiaopeng Zhang£¬Jiashi Feng -272,Dynamics Are Important for the Recognition of Equine Pain in Video,3,https://github.com/sofiabroome/painface-recognition,,,,,,,Thursday,Poster 3.2,208,Sofia Broome,"Sofia Broom¨¦, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellstr?m" -273,ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging,3,https://github.com/samarth-robo/contactdb_prediction,,,,Thursday,Oral 3.1B,08:53,Thursday,Poster 3.1,81,Samarth Brahmbhatt,"Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, and James Hays" -274,SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception,3,https://github.com/mengyuest/SIGNet,,https://mengyuest.github.io/SIGNet/,,,,,Thursday,Poster 3.1,118,Yue Meng,"Y. Meng, Y. Lu, A. Raj, S. Sunarjo, R. Guo, T. Javidi, G. Bansal, D. Bharadia" -275,Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning,3,https://github.com/kshitijd20/RSA-CVPR19-release,,,,,,,Thursday,Poster 3.2,180,Kshitij Dwivedi,"Kshitij Dwivedi, Gemma Roig" -276,AIRD: Adversarial Learning Framework for Image Repurposing Detection,3,https://github.com/isi-vista/AIRD-Datasets,,,,,,,Thursday,Poster 3.2,36,Ayush Jaiswal,"Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan" -277,Instance-Level Meta Normalization,3,https://github.com/Gasoonjia/ILM-Norm,,,,,,,Wednesday,Poster 2.1,31,Songhao Jia,"Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen" -278,A Local Block Coordinate Descent Algorithm for the CSC Model,3,https://github.com/EvZissel/LoBCoD,,,,,,,Wednesday,Poster 2.2,167,Ev Zisselman,"Ev Zisselman, Jeremias Sulam, Michael Elad" -279,On Zero-Shot Recognition of Generic Objects,2,https://github.com/TristHas/GOZ,,,,,,,Thursday,Poster 3.1,92,Tristan Hascoet,"Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi" +247,Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization,6,https://github.com/junbaoZHUO/UODTN,,,,,,,Tuesday,Poster 1.1,52,Junbao Zhuo,"Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang" +248,Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images,6,https://github.com/LARC-CMU-SMU/ACME,,,,,,,Thursday,Poster 3.2,61,Hao Wang,"Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-peng Lim, Steven C. H. Hoi?" +249,Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images,6,https://github.com/mibastro/VPE,,,,,,,Thursday,Poster 3.1,53,Junsik Kim,"Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon" +250,Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning,6,https://github.com/weichen582/Unsupervised-Visual-Recognition-by-Solving-Arbitrary-Puzzles,,,,,,,Tuesday,Poster 1.1,193,Chen Wei,"Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille " +251,Cross-Task Weakly Supervised Learning From Instructional Videos,5,https://github.com/DmZhukov/CrossTask,,,,,,,Tuesday,Poster 1.2,106,Dimitri Zhukov,"Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic" +252,NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction,5,https://github.com/ethanygao/NDDR-CNN,,,,,,,Tuesday,Poster 1.2,73,Yuan Gao,"Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille" +253,The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos,5,https://github.com/hazeld/rank-aware-attention-network,,,,,,,Wednesday,Poster 2.2,114,Hazel Doughty,"Hazel Doughty, Walterio Mayol-Cuevas, Dima Damen" +254,Factor Graph Attention,5,https://github.com/idansc/fga,,,,,,,Tuesday,Poster 1.1,206,Idan Schwartz,"Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing" +255,Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning,5,https://github.com/SAP/machine-learning-dgm,,,,,,,Thursday,Poster 3.2,35,Oleksiy Ostapenko,"Oleksiy Ostapenko, Tassilo Klein, Mihai Puscas, Patrick J?hnichen, Moin Nabi" +256,Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure,5,https://github.com/ShawnDing1994/Centripetal-SGD,,,,,,,Wednesday,Poster 2.1,39,Xiaohan Ding,"Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han" +257,Model-Blind Video Denoising via Frame-To-Frame Training,5,https://github.com/tehret/blind-denoising,,,,,,,Thursday,Poster 3.2,40,Thibaud Ehret,"Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias" +258,Weakly Supervised Deep Image Hashing Through Tag Embeddings,5,https://github.com/Vijetha1/WDHT,,,,,,,Thursday,Poster 3.1,176,Vijetha Gattupalli,"Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li" +259,Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression,5,https://github.com/yuchaoli/KSE,,,,,,,Tuesday,Poster 1.2,14,Yuchao Li,"Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, David Doermann, Yongjian Wu, Feiyue Huang, Rongrong Ji" +260,DeepFlux for Skeletons in the Wild,5,https://github.com/YukangWang/DeepFlux,,,,,,,Wednesday,Poster 2.1,74,Yukang Wang,"Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven Dickinson, Kaleem Siddiqi" +261,Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation,4,https://github.com/aimagelab/art2real,,,,,,,Wednesday,Poster 2.1,161,Matteo Tomei,"Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara" +262,Iterative Residual CNNs for Burst Photography Applications,4,https://github.com/cig-skoltech/burst-cvpr-2019,,,,,,,Wednesday,Poster 2.1,169,Filippos Kokkinos,Filippos Kokkinos ? Stamatis Lefkimmiatis +263,A Simple Baseline for Audio-Visual Scene-Aware Dialog,4,https://github.com/idansc/simple-avsd,,,,,,,Thursday,Poster 3.2,196,Idan Schwartz,"Idan Schwartz, Alexander Schwing, Tamir Hazan" +264,SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences,4,https://github.com/intellhave/SDRSAC,,,,Tuesday,Oral 1.1B,09:00,Tuesday,Poster 1.1,72,Huu M. Le,"Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung" +265,Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera,4,https://github.com/panpanfei/Bringing-a-Blurry-Frame-Alive-at-High-Frame-Rate-with-an-Event-Camera,,,,Wednesday,Oral 2.2C,14:06,Wednesday,Poster 2.2,136,Liyuan Pan,"Liyuan Pan, Cedric Scheerlinck, Xin Yu, Richard Hartley, Miaomiao Liu, Yuchao Dai" +266,Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels,4,https://github.com/pkorus/neural-imaging,,,,Thursday,Oral 3.1A,09:29,Thursday,Poster 3.1,200,Pawel Korus,"Pawel Korus, Nasir Memon" +267,PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval,4,https://github.com/XLechter/PCAN,,,,,,,Thursday,Poster 3.2,185,Wenxiao Zhang,"Wenxiao Zhang, Chunxia Xiao" +268,RENAS: Reinforced Evolutionary Neural Architecture Search,4,https://github.com/yukang2017/RENAS,,,,,,,Wednesday,Poster 2.1,23,Yukang Chen,"Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang" +269,A Local Block Coordinate Descent Algorithm for the CSC Model,3,https://github.com/EvZissel/LoBCoD,,,,,,,Wednesday,Poster 2.2,167,Ev Zisselman,"Ev Zisselman, Jeremias Sulam, Michael Elad" +270,Instance-Level Meta Normalization,3,https://github.com/Gasoonjia/ILM-Norm,,,,,,,Wednesday,Poster 2.1,31,Songhao Jia,"Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen" +271,AIRD: Adversarial Learning Framework for Image Repurposing Detection,3,https://github.com/isi-vista/AIRD-Datasets,,,,,,,Thursday,Poster 3.2,36,Ayush Jaiswal,"Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan" +272,Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning,3,https://github.com/kshitijd20/RSA-CVPR19-release,,,,,,,Thursday,Poster 3.2,180,Kshitij Dwivedi,"Kshitij Dwivedi, Gemma Roig" +273,SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception,3,https://github.com/mengyuest/SIGNet,,https://mengyuest.github.io/SIGNet/,,,,,Thursday,Poster 3.1,118,Yue Meng,"Y. Meng, Y. Lu, A. Raj, S. Sunarjo, R. Guo, T. Javidi, G. Bansal, D. Bharadia" +274,ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging,3,https://github.com/samarth-robo/contactdb_prediction,,,,Thursday,Oral 3.1B,08:53,Thursday,Poster 3.1,81,Samarth Brahmbhatt,"Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, and James Hays" +275,Dynamics Are Important for the Recognition of Equine Pain in Video,3,https://github.com/sofiabroome/painface-recognition,,,,,,,Thursday,Poster 3.2,208,Sofia Broome,"Sofia Broom¨¦, Karina Bech Gleerup, Pia Haubro Andersen, Hedvig Kjellstr?m" +276,Distilling Object Detectors With Fine-Grained Feature Imitation,3,https://github.com/twangnh/Distilling-Object-Detectors,,,,,,,Wednesday,Poster 2.1,38,Tao Wang,Tao Wang£¬Li Yuan£¬Xiaopeng Zhang£¬Jiashi Feng +277,IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition,3,https://github.com/xpwu95/IP102,,,,Thursday,Oral 3.1B,09:42,Thursday,Poster 3.1,89,Xiaoping Wu,Xiaoping Wu£¬Chi Zhan£¬Yu-Kun Lai£¬Ming-Ming Cheng£¬Jufeng Yang +278,Activity Driven Weakly Supervised Object Detection,3,https://github.com/zhenheny/ADWSOD,,,,,,,Tuesday,Poster 1.2,44,Zhenheng Yang,"Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan" +279,Efficient Neural Network Compression,2,https://github.com/Hyeji-Kim/ENC,,,,,,,Thursday,Poster 3.2,198,Hyeji Kim,"Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung" 280,Robustness of 3D Deep Learning in an Adversarial Setting,2,https://github.com/matthewwicker/IterativeSalienceOcclusion,,,,,,,Thursday,Poster 3.2,81,Matthew Wicker,"Matthew Wicker, Marta Kwiatkowska" -281,Efficient Neural Network Compression,2,https://github.com/Hyeji-Kim/ENC,,,,,,,Thursday,Poster 3.2,198,Hyeji Kim,"Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung" -282,On Finding Gray Pixels,1,https://github.com/yanlinqian/Grayness-Index,,,,,,,Wednesday,Poster 2.2,152,Yanlin Qian,"Yanlin Qian, Joni-Kristian K?m?r?inen, Jarno Nikkanen, Jiri Matas" -283,Actor-Critic Instance Segmentation,1,https://github.com/visinf/acis,,,,,,,Wednesday,Poster 2.2,170,Nikita Araslanov,"Kwang In Kim, Hyung Jin Chang" -284,On the Continuity of Rotation Representations in Neural Networks,1,https://github.com/tik0/6d,,,,,,,Wednesday,Poster 2.1,150,Yi Zhou,"Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li" -285,Defending Against Adversarial Attacks by Randomized Diversification,1,https://github.com/taranO/defending-adversarial-attacks-by-RD,,,,,,,Thursday,Poster 3.2,25,Olga Taran,"O. Taran, S. Rezaeifar, T. Holotyak, and S. Voloshynovskiy" -286,Generative Dual Adversarial Network for Generalized Zero-Shot Learning,1,https://github.com/stevehuanghe/GDAN,,,,,,,Tuesday,Poster 1.1,57,He Huang,"He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang" +281,On Zero-Shot Recognition of Generic Objects,2,https://github.com/TristHas/GOZ,,,,,,,Thursday,Poster 3.1,92,Tristan Hascoet,"Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi" +282,A-CNN: Annularly Convolutional Neural Networks on Point Clouds,1,https://github.com/artemkomarichev/a-cnn,,,,,,,Wednesday,Poster 2.2,69,Artem Komarichev,"Artem Komarichev, Zichun Zhong, Jing Hua" +283,Learning Not to Learn: Training Deep Neural Networks With Biased Data,1,https://github.com/feidfoe/learning-not-to-learn,,,,,,,Thursday,Poster 3.1,6,Byungju Kim,"Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim" +284,Complete the Look: Scene-Based Complementary Product Recommendation,1,https://github.com/kang205/STL-Dataset,,,,,,,Thursday,Poster 3.1,207,Wang-Cheng Kang,"Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley" +285,MAP Inference via Block-Coordinate Frank-Wolfe Algorithm,1,https://github.com/LPMP/LPMP,,,,Thursday,Oral 3.2C,15:05,Thursday,Poster 3.2,163,Paul Swoboda,"Paul Swoboda, Vladimir Kolmogorov" +286,Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset,1,https://github.com/MrtnMndt/meta-learning-CODEBRIM,,,,,,,Thursday,Poster 3.2,22,Martin Mundt,"Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh" 287,Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition,1,https://github.com/naraysa/gzsl-od,,,,,,,Thursday,Poster 3.1,136,Devraj Mandal,"Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao" -288,Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset,1,https://github.com/MrtnMndt/meta-learning-CODEBRIM,,,,,,,Thursday,Poster 3.2,22,Martin Mundt,"Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh" -289,MAP Inference via Block-Coordinate Frank-Wolfe Algorithm,1,https://github.com/LPMP/LPMP,,,,Thursday,Oral 3.2C,15:05,Thursday,Poster 3.2,163,Paul Swoboda,"Paul Swoboda, Vladimir Kolmogorov" -290,Complete the Look: Scene-Based Complementary Product Recommendation,1,https://github.com/kang205/STL-Dataset,,,,,,,Thursday,Poster 3.1,207,Wang-Cheng Kang,"Wang-Cheng Kang, Eric Kim, Jure Leskovec, Charles Rosenberg, Julian McAuley" -291,Learning Not to Learn: Training Deep Neural Networks With Biased Data,1,https://github.com/feidfoe/learning-not-to-learn,,,,,,,Thursday,Poster 3.1,6,Byungju Kim,"Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim" -292,A-CNN: Annularly Convolutional Neural Networks on Point Clouds,1,https://github.com/artemkomarichev/a-cnn,,,,,,,Wednesday,Poster 2.2,69,Artem Komarichev,"Artem Komarichev, Zichun Zhong, Jing Hua" -293,Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes,0,https://github.com/yiranzhong/EPIflow.git,,,,,,,Thursday,Poster 3.2,132,Yiran Zhong,"Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li" -294,Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach,0,https://github.com/seqam-lab/GPDA,,,,Wednesday,Oral 2.1A,09:34,Wednesday,Poster 2.1,12,Minyoung Kim,"Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic" -295,Understanding and Visualizing Deep Visual Saliency Models,0,https://github.com/SenHe/uavdvsm,,,,,,,Thursday,Poster 3.1,159,Sen He,"Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault" -296,Detecting Overfitting of Deep Generative Networks via Latent Recovery,0,https://github.com/ryanwebster90/gen-overfitting-latent-recovery,,,,,,,Thursday,Poster 3.2,30,Ryan Webster,"Ryan Webster,?Julien Rabin,?Loic Simon,?Frederic Jurie" -297,Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift,0,https://github.com/rileykwok/Food-Classification,,,,,,,Tuesday,Poster 1.2,2,Xiang Li,"Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang" +288,Generative Dual Adversarial Network for Generalized Zero-Shot Learning,1,https://github.com/stevehuanghe/GDAN,,,,,,,Tuesday,Poster 1.1,57,He Huang,"He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang" +289,Defending Against Adversarial Attacks by Randomized Diversification,1,https://github.com/taranO/defending-adversarial-attacks-by-RD,,,,,,,Thursday,Poster 3.2,25,Olga Taran,"O. Taran, S. Rezaeifar, T. Holotyak, and S. Voloshynovskiy" +290,On the Continuity of Rotation Representations in Neural Networks,1,https://github.com/tik0/6d,,,,,,,Wednesday,Poster 2.1,150,Yi Zhou,"Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li" +291,Actor-Critic Instance Segmentation,1,https://github.com/visinf/acis,,,,,,,Wednesday,Poster 2.2,170,Nikita Araslanov,"Kwang In Kim, Hyung Jin Chang" +292,On Finding Gray Pixels,1,https://github.com/yanlinqian/Grayness-Index,,,,,,,Wednesday,Poster 2.2,152,Yanlin Qian,"Yanlin Qian, Joni-Kristian K?m?r?inen, Jarno Nikkanen, Jiri Matas" +293,Beyond Gradient Descent for Regularized Segmentation Losses,0,https://github.com/dmitrii-marin/adm-seg,,,,,,,Thursday,Poster 3.1,157,Dmitrii Marin,"Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov" +294,Exploring the Bounds of the Utility of Context for Object Detection,0,https://github.com/EhudBarnea/ContextAnalysis,,,,,,,Wednesday,Poster 2.2,68,Ehud Barnea,"Ehud Barnea, Ohad Ben-Shahar" +295,DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation,0,https://github.com/j-a-lin/DFANet_PyTorch,,,,,,,Thursday,Poster 3.1,74,Hanchao Li,"Hanchao Li, Pengfei Xiong, Haoqiang Fan, Jian Sun" +296,QATM: Quality-Aware Template Matching for Deep Learning,0,https://github.com/kamata1729/QATM_pytorch,,,,,,,Thursday,Poster 3.2,59,Jiaxin Cheng,"Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan " +297,Additive Adversarial Learning for Unbiased Authentication,0,https://github.com/langlrsw/AAL-unbiased-authentication,,,,,,,Thursday,Poster 3.2,46,Jian Liang,"Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu" 298,"Isospectralization, or How to Hear Shape, Style, and Correspondence",0,https://github.com/lcosmo/isospectralization,,,,,,,Wednesday,Poster 2.2,80,Luca Cosmo,"Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodol¨¤" -299,Additive Adversarial Learning for Unbiased Authentication,0,https://github.com/langlrsw/AAL-unbiased-authentication,,,,,,,Thursday,Poster 3.2,46,Jian Liang,"Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu" -300,QATM: Quality-Aware Template Matching for Deep Learning,0,https://github.com/kamata1729/QATM_pytorch,,,,,,,Thursday,Poster 3.2,59,Jiaxin Cheng,"Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan " -301,DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation,0,https://github.com/j-a-lin/DFANet_PyTorch,,,,,,,Thursday,Poster 3.1,74,Hanchao Li,"Hanchao Li, Pengfei Xiong, Haoqiang Fan, Jian Sun" -302,Exploring the Bounds of the Utility of Context for Object Detection,0,https://github.com/EhudBarnea/ContextAnalysis,,,,,,,Wednesday,Poster 2.2,68,Ehud Barnea,"Ehud Barnea, Ohad Ben-Shahar" -303,Beyond Gradient Descent for Regularized Segmentation Losses,0,https://github.com/dmitrii-marin/adm-seg,,,,,,,Thursday,Poster 3.1,157,Dmitrii Marin,"Dmitrii Marin, Meng Tang, Ismail Ben Ayed, Yuri Boykov" -304,Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views,,https://github.com/zju-3dv/mvpose,,https://zju-3dv.github.io/mvpose/,,,,,Wednesday,Poster 2.2,107,Junting Dong,"Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou" -305,Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data,,https://github.com/zhongyy/Unequal-Training-for-Deep-Face-Recognition-with-Long-Tailed-Noisy-Data,,,,,,,Wednesday,Poster 2.2,109,Yaoyao Zhong,"Yaoyao Zhong, Weihong Deng,Mei Wang, Jiani Hu,Jianteng Peng, Xunqiang Tao, Yaohai Huang" -306,Large-Scale Long-Tailed Recognition in an Open World,,https://github.com/zhmiao/OpenLongTailRecognition-OLTR,,,,Tuesday,Oral 1.2C,13:53,Tuesday,Poster 1.2,170,Ziwei Liu,"Ziwei Liu*, Zhongqi Miao*, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu" -307,Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions,,https://github.com/ZhilZheng/Lr-LiVAE,,,,,,,Thursday,Poster 3.2,142,Zhilin Zheng,"Zhilin Zheng, Li Sun" -308,Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion,,https://github.com/zhenpeiyang/RelativePose,,,,Wednesday,Oral 2.1B,09:34,Wednesday,Poster 2.1,117,Zhenpei Yang,"Zhenpei Yang, Jeffrey Z.Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman and Qixing Huang" -309,Learning Spatio-Temporal Representation With Local and Global Diffusion,,https://github.com/ZhaofanQiu/local-and-global-diffusion-networks,,,,,,,Thursday,Poster 3.2,128,Zhaofan Qiu, -310,Image Generation From Layout,,https://github.com/zhaobozb/layout2im,,,,Thursday,Oral 3.1A,09:06,Thursday,Poster 3.1,196,Bo Zhao,"Bo Zhao, Lili Meng,Weidong Yin, Leonid Sigal" -311,CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection,,https://github.com/zhangludl/code-and-dataset-for-CapSal?,,,,,,,Wednesday,Poster 2.1,179,Lu Zhang,Lu Zhang; Huchuan Lu ; Zhe Lin ; Jianming Zhang; You He -312,CRAVES: Controlling Robotic Arm With a Vision-Based Economic System,,https://github.com/zfw1226/craves_control,,,,,,,Tuesday,Poster 1.2,211,Yiming Zuo,"Zuo, Yiming and Qiu, Weichao and Xie, Lingxi and Zhong, Fangwei and Wang, Yizhou and Yuille, Alan L" -313,Path-Invariant Map Networks,,https://github.com/zaiweizhang/path_invariance_map_network,,,,Thursday,Oral 3.2C,14:29,Thursday,Poster 3.2,157,Zaiwei Zhang,"Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou and Qixing Huang" -314,Connecting Touch and Vision via Cross-Modal Prediction,,https://github.com/YunzhuLi/VisGel,,http://visgel.csail.mit.edu/,,,,,Thursday,Poster 3.1,215,Yunzhu Li,"Yunzhu Li,Jun-Yan Zhu,Russ Tedrake,and Antonio Torralba" -315,Recursive Visual Attention in Visual Dialog,,https://github.com/yuleiniu/rva,,,,Wednesday,Oral 2.2B,14:29,Wednesday,Poster 2.2,187,Yulei Niu,"Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen" -316,Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach,,https://github.com/yuhuayc/gio-ada,,,,,,,Tuesday,Poster 1.1,186,Yuhua Chen, -317,Side Window Filtering,,https://github.com/YuanhaoGong/SideWindowFilter ,,,,Thursday,Oral 3.1B,09:24,Thursday,Poster 3.1,86,Hui Yin,"Hui Yin, Yuanhao Gong, Guoping Qiu" -318,Learning to Cluster Faces on an Affinity Graph,,https://github.com/yl-1993/learn-to-cluster?,,,,Tuesday,Oral 1.2A,15:05,Tuesday,Poster 1.2,34,Lei Yang,"Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin" -319,StoryGAN: A Sequential Conditional GAN for Story Visualization,,https://github.com/yitong91/StoryGAN,,,,,,,Wednesday,Poster 2.1,210,Yitong Li,"Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao" -320,Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation,,https://github.com/yingcong/HomoInterpGAN,,,,Tuesday,Oral 1.2B,14:24,Tuesday,Poster 1.2,127,Ying-Cong Chen, -321,Probabilistic End-To-End Noise Correction for Learning With Noisy Labels,,https://github.com/yikun2019/PENCIL,,,,,,,Wednesday,Poster 2.2,9,Kun Yi, -322,Im2Pencil: Controllable Pencil Illustration From Photographs,,https://github.com/Yijunmaverick/Im2Pencil?,,,,,,,Tuesday,Poster 1.1,154,Yijun Li,"Yijun Li,Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang" -323,InverseRenderNet: Learning Single Image Inverse Rendering,,https://github.com/YeeU/InverseRenderNet,,,,,,,Tuesday,Poster 1.2,68,Ye Yu,"Yu, Ye and Smith, William AP" -324,Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval,,https://github.com/yalesong/pvse,,,,,,,Tuesday,Poster 1.1,200,Yale Song, -325,Depth-Attentional Features for Single-Image Rain Removal,,https://github.com/xw-hu/DAF-Net,,,,,,,Wednesday,Poster 2.2,148,Xiaowei Hu,"Xiaowei Hu, Chi-Wing Fu, Lei Zhu, and Pheng-Ann Heng" -326,Meta-SR: A Magnification-Arbitrary Network for Super-Resolution,,https://github.com/XuecaiHu/Meta-SR-Pytorch,,,,,,,Tuesday,Poster 1.1,159,Xuecai Hu,"Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun" -327,Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction,,https://github.com/xudejing/VCOP,,,,,,,Thursday,Poster 3.1,172,Dejing Xu,Dejing Xu£¬Jun Xiao£¬Zhou Zhao£¬Jian Shao£¬Di Xie£¬Yueting Zhuang -328,Ranked List Loss for Deep Metric Learning,,https://github.com/XinshaoAmosWang/RankedListLoss,,,,,,,Wednesday,Poster 2.1,66,Xinshao Wang, -329,Target-Aware Deep Tracking,,https://github.com/XinLi-zn/TADT,,https://xinli-zn.github.io/TADT-project-page/,,,,,Tuesday,Poster 1.1,138,Xin Li,"Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang" -330,FlowNet3D: Learning Scene Flow in 3D Point Clouds,,https://github.com/xingyul/flownet3d,,,,,,,Tuesday,Poster 1.1,30,Xingyu Liu,"Xingyu Liu, Charles R. Qi, Leonidas J. Guibas " -331,Learning Video Representations From Correspondence Proposals,,https://github.com/xingyul/cpnet,,,,Wednesday,Oral 2.1A,08:30,Wednesday,Poster 2.1,1,Xingyu Liu,"Xingyu Liu, Joon-Young Lee and Hailin Jin" -332,Self-Supervised Learning via Conditional Motion Propagation,,https://github.com/XiaohangZhan/conditional-motion-propagation?,,,,,,,Tuesday,Poster 1.1,190,Xiaohang Zhan,"Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy" -333,Generating 3D Adversarial Point Clouds,,https://github.com/xiangchong1/3d-adv-pc,,,,,,,Thursday,Poster 3.1,19,Chong Xiang,"Chong Xiang, Charles R. Qi , Bo Li " -334,Synthesizing Environment-Aware Activities via Activity Sketches,,https://github.com/xavierpuigf/virtualhome,,,,,,,Wednesday,Poster 2.1,206,Yuan-Hong Liao,"A. Liao*, X. Puig*, M. Boben, A. Torralba, S. Fidler" -335,Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations,,https://github.com/wonheeML/mtl-ssl,,,,,,,Wednesday,Poster 2.1,43,Wonhee Lee, -336,Adapting Object Detectors via Selective Cross-Domain Alignment,,https://github.com/WERush/SCDA,,,,,,,Tuesday,Poster 1.1,46,Xinge Zhu,"Zhu, Xinge and Pang, Jiangmiao and Yang, Ceyuan and Shi, Jianping and Lin, Dahua" -337,Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning,,https://github.com/WenbinLee/DN4.git,,,,,,,Wednesday,Poster 2.2,52,Wenbin Li,"Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo" -338,Interactive Image Segmentation via Backpropagating Refinement Scheme,,https://github.com/wdjang/BRS-Interactive_segmentation,,,,,,,Wednesday,Poster 2.1,75,Won-Dong Jang,Won-Dong Jang and Chang-Su Kim -339,Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation,,https://github.com/vsingh-group/MeNets,,,,,,,Wednesday,Poster 2.2,102,Yunyang Xiong, -340,MOTS: Multi-Object Tracking and Segmentation,,https://github.com/VisualComputingInstitute/mots_tools,,,,,,,Wednesday,Poster 2.2,122,Paul Voigtlaender, -341,Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation,,https://github.com/visinf/irr,,,,,,,Wednesday,Poster 2.1,151,Junhwa Hur,Junhwa Hur and Stefan Roth -342,C3AE: Exploring the Limits of Compact Model for Age Estimation,,https://github.com/vicwer/C3AE_Age_Estimation,,,,,,,Thursday,Poster 3.2,200,Chao Zhang,"Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu" -343,"Expressive Body Capture: 3D Hands, Face, and Body From a Single Image",,https://github.com/vchoutas/smplify-x,,https://smpl-x.is.tue.mpg.de/?,,Thursday,Oral 3.2B,15:10,Thursday,Poster 3.2,109,Georgios Pavlakos,"Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black" -344,Text2Scene: Generating Compositional Scenes From Textual Descriptions,,https://github.com/uvavision/Text2Image?,,,,Wednesday,Oral 2.2B,14:47,Wednesday,Poster 2.2,190,Fuwen Tan,"Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao" -345,TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning,,https://github.com/ucbdrive/tafe-net,,,,,,,Tuesday,Poster 1.1,185,Xin Wang,"Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez" -346,Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks,,https://github.com/tyohei/chainerkfac,,,,,,,Thursday,Poster 3.2,177,Kazuki Osawa,"Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, and Satoshi Matsuoka" -347,Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds,,https://github.com/tiancheng-zhi/ms-powder,,http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/?,,Thursday,Oral 3.1B,08:48,Thursday,Poster 3.1,80,Tiancheng Zhi,"Tiancheng Zhi, Bernardo R. Pires, Martial Hebert and Srinivasa G. Narasimhan" -348,Universal Domain Adaptation,,https://github.com/thuml/Universal-Domain-Adaptation?,,,,,,,Tuesday,Poster 1.2,6,Kaichao You,"Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael . Jordan" -349,Learning to Transfer Examples for Partial Domain Adaptation,,https://github.com/thuml/ETN,,,,,,,Tuesday,Poster 1.2,51,Zhangjie Cao,"Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang" -350,Sphere Generative Adversarial Network Based on Geometric Moment Matching,,https://github.com/taki0112/SphereGAN-Tensorflow?,,,,Wednesday,Oral 2.1A,08:40,Wednesday,Poster 2.1,3,Sung Woo Park,Sung Woo Park and Junseok Kwon -351,Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation,,https://github.com/taki0112/GDWCT-Tensorflow,,,,Thursday,Oral 3.2A,13:35,Thursday,Poster 3.2,2,Wonwoong Cho,"Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo" -352,Dissecting Person Re-Identification From the Viewpoint of Viewpoint,,https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint,,,,,,,Tuesday,Poster 1.1,38,Xiaoxiao Sun,"Ting Zhao, Xiangqian Wu" -353,Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery,,https://github.com/suniique/Leveraging-Crowdsourced-GPS-Data-for-Road-Extraction-from-Aerial-Imagery?,,,,,,,Wednesday,Poster 2.2,78,Tao Sun,"Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang" -354,Content-Aware Multi-Level Guidance for Interactive Instance Segmentation,,https://github.com/sm176357/mlg,,,,,,,Thursday,Poster 3.2,64,Soumajit Majumder, -355,Learning Context Graph for Person Search,,https://github.com/sjtuzq/person_search_gcn,,,,Tuesday,Oral 1.2A,13:40,Tuesday,Poster 1.2,20,Yichao Yan,"Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang" -356,Learning Non-Volumetric Depth Fusion Using Successive Reprojections,,https://github.com/simon-donne/defusr,,,,,,,Wednesday,Poster 2.2,91,Simon Donne,"Simon Donn¨¦, Andreas Geiger" -357,Scene Parsing via Integrated Classification Model and Variance-Based Regularization,,https://github.com/shihengcan/ICM-matcaffe,,,,,,,Wednesday,Poster 2.1,76,Hengcan Shi,"Hengcan Shi, Hongliang Li, Qingbo Wu, Zichen Song" -358,Wide-Context Semantic Image Extrapolation,,https://github.com/shepnerd/outpainting_srn,,,,,,,Tuesday,Poster 1.1,141,Yi Wang,"Yi Wang, Xin Tao, Xiaoyong Shen, Jiaya Jia." -359,FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image,,https://github.com/shamangary/FSA-Net?,,,,,,,Tuesday,Poster 1.1,98,Tsun-Yi Yang,"Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, and Yung-Yu Chuang" -360,SOSNet: Second Order Similarity Regularization for Local Descriptor Learning,,https://github.com/scape-research/SOSNet,,,,Thursday,Oral 3.2C,13:48,Thursday,Poster 3.2,150,Yurun Tian, -361,Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video,,https://github.com/SamvitJ/Accel,,,,Thursday,Oral 3.1C,08:58,Thursday,Poster 3.1,60,Samvit Jain, -362,S4Net: Single Stage Salient-Instance Segmentation,,https://github.com/RuochenFan/S4Net,,,,,,,Wednesday,Poster 2.1,187,Ruochen Fan,"Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu" -363,Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss,,https://github.com/roysubhankar/dwt-domain-adaptation,,,,,,,Thursday,Poster 3.1,54,Subhankar Roy, -364,Information Maximizing Visual Question Generation,,https://github.com/ranjaykrishna/iq,,,,,,,Tuesday,Poster 1.1,203,Ranjay Krishna,"Krishna, Ranjay and Bernstein, Michael and Fei-Fei, Li" -365,Amodal Instance Segmentation With KINS Dataset,,https://github.com/qqlu/Amodal-Instance-Segmentation-through-KINS-Dataset,,,,,,,Tuesday,Poster 1.2,54,Lu Qi," Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia" -366,Describing Like Humans: On Diversity in Image Captioning,,https://github.com/qingzwang/DiversityMetrics,,,,,,,Tuesday,Poster 1.2,209,Qingzhong Wang,"Qingzhong Wang, Antoni B. Chan" -367,Learning Single-Image Depth From Videos Using Quality Assessment Networks,,https://github.com/princeton-vl/YouTube3D,,,,,,,Wednesday,Poster 2.1,121,Weifeng Chen, -368,SelFlow: Self-Supervised Learning of Optical Flow,,https://github.com/ppliuboy/SelFlow,,,,Wednesday,Oral 2.1C,08:30,Wednesday,Poster 2.1,135,Pengpeng Liu, -369,Representation Flow for Action Recognition,,https://github.com/piergiaj/representation-flow-cvpr19,,https://piergiaj.github.io/rep-flow-site/,,,,,Thursday,Poster 3.1,132,AJ Piergiovanni,"AJ Piergiovanni, Michael S. Ryoo" -370,SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks,,https://github.com/PengBoXiangShang/SiamRPN_plus_plus_PyTorch,https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ,http://bo-li.info/SiamRPN++/,,Wednesday,Oral 2.1A,08:35,Wednesday,Poster 2.1,2,Bo Li,"Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan" -371,Translate-to-Recognize Networks for RGB-D Scene Recognition,,https://github.com/ownstyledu/Translate-to-Recognize-Networks,,https://ownstyledu.github.io/Translate-to-Recognize-Networks/,,,,,Thursday,Poster 3.2,88,Dapeng Du,"Du, Dapeng and Wang, Limin and Wang, Huiling and Zhao, Kai and Wu, Gangshan" -372,Hybrid Task Cascade for Instance Segmentation,,https://github.com/open-mmlab/mmdetection,https://mp.weixin.qq.com/s/xug0xKfc9RgJEUci1a_xog,,,,,,Wednesday,Poster 2.1,42,Kai Chen,"Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin" -373,Region Proposal by Guided Anchoring,,https://github.com/open-mmlab/mmdetection,https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g,,,,,,Tuesday,Poster 1.2,49,Jiaqi Wang,"Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin" -374,3D Appearance Super-Resolution With Deep Learning,,https://github.com/ofsoundof/3D_Appearance_SR,,,,,,,Thursday,Poster 3.1,104,Yawei Li,"Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc van Gool" -375,Libra R-CNN: Towards Balanced Learning for Object Detection,,https://github.com/OceanPang/Libra_R-CNN,,,,,,,Tuesday,Poster 1.1,59,Jiangmiao Pang, -376,Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations,,https://github.com/nv-tlabs/STEAL,,https://nv-tlabs.github.io/STEAL/?,,Thursday,Oral 3.2C,14:24,Thursday,Poster 3.2,156,David Acuna,"David Acuna, Amlan Kar, Sanja Fidler" -377,Importance Estimation for Neural Network Pruning,,https://github.com/NVlabs/Taylor_pruning,,,,,,,Thursday,Poster 3.2,29,Pavlo Molchanov,"Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz" -378,SCOPS: Self-Supervised Co-Part Segmentation,,https://github.com/NVlabs/SCOPS,,https://varunjampani.github.io/scops/,,,,,Tuesday,Poster 1.1,64,Wei-Chih Hung,Wei-Chih Hung Varun Jampani Sifei Liu Pavlo Molchanov Ming-Hsuan Yang Jan Kautz -379,Pixel-Adaptive Convolutional Neural Networks,,https://github.com/NVlabs/pacnet,,,,,,,Thursday,Poster 3.2,19,Hang Su,"Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, and Jan Kautz." -380,Improving Semantic Segmentation via Video Propagation and Label Relaxation,,https://github.com/NVIDIA/semantic-segmentation,,,,Thursday,Oral 3.1C,08:53,Thursday,Poster 3.1,59,Yi Zhu,"Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro" -381,Convolutional Mesh Regression for Single-Image Human Shape Reconstruction,,https://github.com/nkolot/GraphCMR,,,,Wednesday,Oral 2.1B,09:16,Wednesday,Poster 2.1,114,Nikos Kolotouros,"Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis" -382,Unsupervised Face Normalization With Extreme Pose and Expression in the Wild,,https://github.com/mx54039q/fnm,,,,,,,Thursday,Poster 3.1,122,Yichen Qian,"Qian, Yichen and Deng, Weihong and Hu, Jiani" -383,Deep Modular Co-Attention Networks for Visual Question Answering,,https://github.com/MILVLG/mcan-vqa,,,,,,,Wednesday,Poster 2.1,205,Zhou Yu,"Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, Qi Tian" -384,Self-Supervised 3D Hand Pose Estimation Through Training by Fitting,,https://github.com/melonwan/sphereHand,,,,Thursday,Oral 3.2B,13:58,Thursday,Poster 3.2,97,Chengde Wan, -385,Learning to Extract Flawless Slow Motion From Blurry Videos,,https://github.com/MeiguangJin/slow-motion,,,,,,,Wednesday,Poster 2.2,157,Meiguang Jin,"Jin, Meiguang and Hu, Zhe and Favaro, Paolo" -386,Deep Video Inpainting,,https://github.com/mcahny/Deep_Video_Inpainting,,,,,,,Wednesday,Poster 2.1,155,Dahun Kim,"Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon" -387,Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence,,https://github.com/mcahny/Deep_Blind_Video_Decaptioning?,,,,,,,Tuesday,Poster 1.2,216,Dahun Kim,"Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon" -388,Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem,,https://github.com/max-andr/relu_networks_overconfident,,,,Tuesday,Oral 1.1A,09:23,Tuesday,Poster 1.1,5,Matthias Hein,"Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf" -389,Guided Stereo Matching,,https://github.com/mattpoggi/guided-stereo,,,,,,,Tuesday,Poster 1.1,87,Matteo Poggi," Matteo Poggi, Davide Pallotti, Fabio Tosi and Stefano Mattoccia," -390,Light Field Messaging With Deep Photographic Steganography,,https://github.com/mathski/LFM,,,,,,,Tuesday,Poster 1.1,153,Eric Wengrowski,Eric Wengrowski and Kristin Dana -391,Seamless Scene Segmentation,,https://github.com/mapillary/seamseg,,,,,,,Wednesday,Poster 2.2,174,Lorenzo Porzi,"Lorenzo Porzi, Samuel Rota Bul¨°, Aleksander Colovic, Peter Kontschieder" -392,Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning,,https://github.com/MalongTech/research-ms-loss?,,,,,,,Wednesday,Poster 2.1,47,Xun Wang,"Xun Wang, Xintong Han, Weilin Huang, Dengke Dong, Matthew R. Scott" -393,End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization,,https://github.com/maestrojeong/Deep-Hash-Table-CVPR19?,,,,,,,Thursday,Poster 3.2,41,Yeonwoo Jeong,"Yeonwoo Jeong, Yoonsuing Kim, Hyun Oh Song" -394,TopNet: Structural Point Cloud Decoder,,https://github.com/lynetcha/completion3d,,,,,,,Tuesday,Poster 1.1,15,Lyne P. Tchapmi,"Tchapmi, Lyne P and Kosaraju, Vineet and Rezatofighi, S. Hamid and Reid, Ian and Savarese, Silvio" -395,Dense Intrinsic Appearance Flow for Human Pose Transfer,,https://github.com/ly015/intrinsic_flow?,,,,,,,Tuesday,Poster 1.2,140,Yining Li,"Yining Li, Chen Huang, Chen Change Loy" -396,Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition,,https://github.com/lshiwjx/2s-AGCN,,,,,,,Thursday,Poster 3.2,125,Lei Shi, -397,Learning Parallax Attention for Stereo Image Super-Resolution,,https://github.com/LongguangWang/PASSRnet,,,,,,,Thursday,Poster 3.2,166,Longguang Wang,"Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo" -398,Learning to Learn From Noisy Labeled Data,,https://github.com/LiJunnan1992/MLNT,,,,,,,Wednesday,Poster 2.1,50,Junnan Li,"Junnan Li, Y. Wong, Qi Zhao, M. Kankanhalli " +299,Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift,0,https://github.com/rileykwok/Food-Classification,,,,,,,Tuesday,Poster 1.2,2,Xiang Li,"Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang" +300,Detecting Overfitting of Deep Generative Networks via Latent Recovery,0,https://github.com/ryanwebster90/gen-overfitting-latent-recovery,,,,,,,Thursday,Poster 3.2,30,Ryan Webster,"Ryan Webster,?Julien Rabin,?Loic Simon,?Frederic Jurie" +301,Understanding and Visualizing Deep Visual Saliency Models,0,https://github.com/SenHe/uavdvsm,,,,,,,Thursday,Poster 3.1,159,Sen He,"Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault" +302,Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach,0,https://github.com/seqam-lab/GPDA,,,,Wednesday,Oral 2.1A,09:34,Wednesday,Poster 2.1,12,Minyoung Kim,"Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic" +303,Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes,0,https://github.com/yiranzhong/EPIflow.git,,,,,,,Thursday,Poster 3.2,132,Yiran Zhong,"Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li" +304,A Simple Pooling-Based Design for Real-Time Salient Object Detection,,http://mmcheng.net/poolnet/ ,,,,,,,Tuesday,Poster 1.2,163,Jiang-Jiang Liu,"Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang" +305,DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds,,https://ai4ce.github.io/DeepMapping/,,,,Thursday,Oral 3.1A,09:47,Thursday,Poster 3.1,203,Li Ding,"Li Ding, Chen Feng" +306,Action Recognition From Single Timestamp Supervision in Untrimmed Videos,,https://bitbucket.org/dmoltisanti/action_recognition_single_timestamps/src/master/,,https://dimadamen.github.io/single_timestamps/,,,,,Thursday,Poster 3.1,129,Davide Moltisanti,"Davide Moltisanti, Sanja Fidler, Dima Damen" +307,FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization,,https://bitbucket.org/gaowei19951004/poser/src/master/ ,,,,Thursday,Oral 3.2C,14:34,Thursday,Poster 3.2,158,Wei Gao,"Wei Gao, Russ Tedrake" +308,Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence,,https://github.com/A2Zadeh/Social-IQ,,,,Thursday,Oral 3.1B,09:52,Thursday,Poster 3.1,91,Amir Zadeh, +309,Reflection Removal Using a Dual-Pixel Sensor,,https://github.com/abhijithpunnappurath/dprr,,https://abhijithpunnappurath.github.io/dprr,,,,,Tuesday,Poster 1.1,157,Abhijith Punnappurath,"Abhijith Punnappurath ,Michael S. Brown" +310,Learning 3D Human Dynamics From Video,,https://github.com/akanazawa/human_dynamics?,,,,,,,Wednesday,Poster 2.1,122,Angjoo Kanazawa,"Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik" +311,Video Action Transformer Network,,https://github.com/alainray/action_transformer,,,,Tuesday,Oral 1.1C,09:00,Tuesday,Poster 1.1,109,Rohit Girdhar,"Rohit Girdhar, Jo?o Carreira, Carl Doersch, Andrew Zisserman" +312,Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction,,https://github.com/alexklwong/adareg-monodispnet,,,,,,,Wednesday,Poster 2.1,125,Alex Wong,"Alex Wong, Byung-Woo Hong, Stefano Soatto" +313,GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices,,https://github.com/amnonge/GPSFM-Code,,,,,,,Tuesday,Poster 1.2,79,Yoni Kasten,Yoni Kasten* Amnon Geifman* Meirav Galun Ronen Basri +314,Depth From a Polarisation + RGB Stereo Pair,,https://github.com/AmosZhu/CVPR2019,,,,,,,Wednesday,Poster 2.2,86,Dizhong Zhu,"Dizhong Zhu, William A.P. Smith" +315,Improved Road Connectivity by Joint Learning of Orientation and Segmentation,,https://github.com/anilbatra2185/road_connectivity,,,,,,,Thursday,Poster 3.1,177,Anil Batra,Anil Batra£¬Suriya Singh£¬Guan Pang£¬Saikat Basu£¬C.V. Jawahar1 Manohar Paluri +316,Bringing Alive Blurred Moments,,https://github.com/anshulbshah/Blurred-Image-to-Video,,,,Wednesday,Oral 2.2C,14:11,Wednesday,Poster 2.2,137,Kuldeep Purohit, +317,Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation,,https://github.com/apple/ml-cvpr2019-swd,,,,,,,Thursday,Poster 3.1,167,Chen-Yu Lee,"Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht" +318,Zero-Shot Task Transfer,,https://github.com/ArghyaPal/Zero-shot-task-transfer,,,,Tuesday,Oral 1.2A,13:58,Tuesday,Poster 1.2,23,Arghya Pal, +319,Automatic Adaptation of Object Detectors to New Domains Using Self-Training,,https://github.com/AruniRC/detectron-self-train,,http://vis-www.cs.umass.edu/self-train/,,,,,Tuesday,Poster 1.1,55,Aruni RoyChowdhury,"Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao and Erik Learned-Miller " +320,PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds,,https://github.com/aseembehl/pointflownet ,,,,,,,Wednesday,Poster 2.2,124,Aseem Behl,"Aseem Behl, Despoina Paschalidou, Simon Donn¨¦, Andreas Geiger" +321,LAEO-Net: Revisiting People Looking at Each Other in Videos,,https://github.com/AVAuco/ucolaeodb,,http://www.robots.ox.ac.uk/~vgg/research/laeonet?,,,,,Tuesday,Poster 1.2,100,Manuel J. Marin-Jimenez,Manuel J Marin-Jimenez£¬Vicky Kalogeiton£¬Pablo Medina-Suarez£¬Andrew Zisserman +322,Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning,,https://github.com/AyanKumarBhunia/Handwriting_Recogition_using_Adversarial_Learning?,,,,,,,Wednesday,Poster 2.1,21,Ayan Kumar Bhunia,"Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy" +323,RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation,,https://github.com/bastianwandt/RepNet,,,,,,,Wednesday,Poster 2.2,106,Bastian Wandt,"Bastian Wandt, Bodo Rosenhahn" +324,End-To-End Projector Photometric Compensation,,https://github.com/BingyaoHuang/compennet?,,,,Wednesday,Oral 2.2C,13:58,Wednesday,Poster 2.2,135,Bingyao Huang,"Bingyao Huang, Haibin Ling" +325,3D Hand Shape and Pose From Images in the Wild,,https://github.com/boukhayma/3dhand,,,,Thursday,Oral 3.2B,13:53,Thursday,Poster 3.2,96,Adnane Boukhayma,"Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr" +326,Pyramid Feature Attention Network for Saliency Detection,,https://github.com/CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection,,,,,,,Tuesday,Poster 1.2,61,Ting Zhao,"Ting Zhao, Xiangqian Wu" +327,"Zoom to Learn, Learn to Zoom",,https://github.com/ceciliavision/zoom-learn-zoom,,https://ceciliavision.github.io/project-pages/project-zoom.html?,,,,,Tuesday,Poster 1.2,147,Xuaner Zhang,"Xuaner Cecilia Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun " +328,Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval,,https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning?,,,,,,,Tuesday,Poster 1.2,9,Binghui Chen,"Binghui Chen, Weihong Deng" +329,Fully Automatic Video Colorization With Self-Regularization and Diversity,,https://github.com/ChenyangLEI/Fully-Automatic-Video-Colorization-with-Self-Regularization-and-Diversity,,,,,,,Tuesday,Poster 1.2,146,Chenyang Lei, +330,Multi-Label Image Recognition With Graph Convolutional Networks,,https://github.com/chenzhaomin123/ML_GCN,,,,,,,Wednesday,Poster 2.1,63,Zhao-Min Chen,"Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo" +331,Towards Natural and Accurate Future Motion Prediction of Humans and Animals,,https://github.com/CoderStellaJ/Hierarchical-Motion-Recurrent-Network-Website,https://coderstellaj.github.io/Hierarchical-Motion-Recurrent-Network-Website/,,,,,,Thursday,Poster 3.1,138,Zhenguang Liu,Zhenguang Liu (Zhejiang Gongshang University)*; Shuang Wu (Nanyang Technological University); Shuyuan Jin (NUS); Qi Liu (National University of Singapore); Shijian Lu (Nanyang Technological University); Roger Zimmermann (NUS); Li Cheng (University of Alberta) +332,COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis,,https://github.com/coin-dataset/code,https://mp.weixin.qq.com/s/YFmgdIEfLCvL5LLGQ0vesw,https://coin-dataset.github.io/,,,,,Tuesday,Poster 1.1,122,Yansong Tang,"Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou" +333,Context-Aware Crowd Counting,,https://github.com/CommissarMa/Context-Aware_Crowd_Counting-pytorch,,,,,,,Wednesday,Poster 2.1,55,Weizhe Liu,"Weizhe Liu, Mathieu Salzmann, Pascal Fua" +334,Acoustic Non-Line-Of-Sight Imaging,,https://github.com/computational-imaging/AcousticNLOS,,http://www.computationalimaging.org/publications/acoustic-non-line-of-sight-imaging/,,Wednesday,Oral 2.2C,13:40,Wednesday,Poster 2.2,132,David B. Lindell,"David B. Lindell, Gordon Wetzstein, Vladlen Koltun" +335,Divide and Conquer the Embedding Space for Metric Learning,,https://github.com/CompVis/metric-learning-divide-and-conquer,,,,,,,Tuesday,Poster 1.1,24,Artsiom Sanakoyeu,"Sanakoyeu, Artsiom and Tschernezki, Vadim and B\""uchler, Uta and Ommer, Bj\""orn" +336,STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing,,https://github.com/csmliu/STGAN?,,,,,,,Tuesday,Poster 1.2,138,Ming Liu,"Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen" +337,Example-Guided Style-Consistent Image Synthesis From Semantic Labeling,,https://github.com/cxjyxxme/pix2pixSC,,,,,,,Tuesday,Poster 1.1,151,Miao Wang,"Miao Wang1, Guo-Ye Yang2, Ruilong Li2, Run-Ze Liang2, Song-Hai Zhang2, Peter M. Hall3?and Shi-Min Hu" +338,Visual Tracking via Adaptive Spatially-Regularized Correlation Filters,,https://github.com/Daikenan/ASRCF ,,,,Wednesday,Oral 2.1C,09:29,Wednesday,Poster 2.1,145,Kenan Dai,"Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li" +339,Second-Order Attention Network for Single Image Super-Resolution,,https://github.com/daitao/SAN,,,,Thursday,Oral 3.2C,14:16,Thursday,Poster 3.2,155,Tao Dai, +340,Dual Encoding for Zero-Example Video Retrieval,,https://github.com/danieljf24/dual_encoding,,,,,,,Thursday,Poster 3.1,41,Jianfeng Dong,"Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang and Xun Wang" +341,MAGSAC: Marginalizing Sample Consensus,,https://github.com/danini/magsac,,,,,,,Thursday,Poster 3.1,158,Daniel Barath, +342,Exploiting Temporal Context for 3D Human Pose Estimation in the Wild,,https://github.com/deepmind/Temporal-3D-Pose-Kinetics?,,,,,,,Tuesday,Poster 1.2,92,Anurag Arnab,"Anurag Arnab, Carl Doersch, Andrew Zisserman" +343,Shifting More Attention to Video Salient Object Detection,,https://github.com/DengPingFan/DAVSOD,,,,Thursday,Oral 3.1A,08:48,Thursday,Poster 3.1,193,Deng-Ping Fan,"Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen" +344,Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning,,https://github.com/Dong-JinKim/DenseRelationalCaptioning,,,,,,,Wednesday,Poster 2.1,204,Dong-Jin Kim,"Done by Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, and In So Kweon" +345,Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells,,https://github.com/DrSleep/nas-segm-pytorch,,,,,,,Thursday,Poster 3.1,18,Vladimir Nekrasov,"Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian Reid" +346,OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks,,https://github.com/dsfour/OICSR,,,,,,,Wednesday,Poster 2.2,12,Jiashi Li,"Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun" +347,CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation,,https://github.com/dumyy/handpose ,,,,,,,Thursday,Poster 3.1,127,Kuo Du,"Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma" +348,Searching for a Robust Neural Architecture in Four GPU Hours,,https://github.com/D-X-Y/GDAS?,,,,,,,Tuesday,Poster 1.1,178,Xuanyi Dong,"Xuanyi Dong, Yi Yang" +349,Mixture Density Generative Adversarial Networks,,https://github.com/eghbalz/mdgan,,,,,,,Wednesday,Poster 2.1,158,Hamid Eghbal-zadeh,"Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer" +350,Practical Full Resolution Learned Lossless Image Compression,,https://github.com/fab-jul/L3C-PyTorch,,,,Thursday,Oral 3.2A,13:30,Thursday,Poster 3.2,1,Fabian Mentzer,"Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool" +351,Inverse Cooking: Recipe Generation From Food Images,,https://github.com/facebookresearch/inversecooking,,,,,,,Thursday,Poster 3.1,184,Amaia Salvador,"Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto, Adriana Romero" +352,MVF-Net: Multi-View 3D Face Morphable Model Regression,,https://github.com/Fanziapril/mvfnet,,,,,,,Tuesday,Poster 1.1,85,Fanzi Wu,"Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu" +353,Unsupervised Image Captioning,,https://github.com/fengyang0317/unsupervised_captioning?,,,,,,,Tuesday,Poster 1.2,202,Yang Feng,"Yang Feng, Lin Ma, Wei Liu, Jiebo Luo" +354,Spatial Fusion GAN for Image Synthesis,,https://github.com/fnzhan/SF-GAN,,,,,,,Tuesday,Poster 1.2,136,Fangneng Zhan, +355,PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation,,https://github.com/FoggYu/PartNet,,,,,,,Thursday,Poster 3.1,71,Fenggen Yu,"Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu" +356,Deep Geometric Prior for Surface Reconstruction,,https://github.com/fwilliams/deep-geometric-prior,,,,,,,Thursday,Poster 3.1,151,Francis Williams,"Francis Williams, Teseo Schneider, Claudio Silva, Denis Zorin, Joan Bruna, Daniele Panozzo" +357,Graphonomy: Universal Human Parsing via Graph Transfer Learning,,https://github.com/Gaoyiminggithub/Graphonomy,,,,,,,Wednesday,Poster 2.2,72,Ke Gong,"Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin" +358,Pedestrian Detection With Autoregressive Network Phases,,https://github.com/garrickbrazil/AR-Ped,,,,,,,Wednesday,Poster 2.2,49,Garrick Brazil,"Garrick Brazil, Xiaoming Liu" +359,Semantic Graph Convolutional Networks for 3D Human Pose Regression,,https://github.com/garyzhao/SemGCN,,,,,,,Tuesday,Poster 1.2,95,Long Zhao, +360,3D Hand Shape and Pose Estimation From a Single RGB Image,,https://github.com/geliuhao/3DHandShapePosefromRGB,,https://sites.google.com/site/geliuhaontu/home/cvpr2019,,Thursday,Oral 3.2B,13:48,Thursday,Poster 3.2,95,Liuhao Ge,"Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan" +361,Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression,,https://github.com/generalized-iou/Detectron.pytorch,https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw,,,,,,Tuesday,Poster 1.1,43,Hamid Rezatofighi,"Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese" +362,Hierarchical Deep Stereo Matching on High-Resolution Images,,https://github.com/gengshan-y/high-res-stereo,,http://www.contrib.andrew.cmu.edu/~gengshay/cvpr19stereo,,,,,Wednesday,Poster 2.1,97,Gengshan Yang,Gengshan Yang£¬Joshua Manela£¬ Michael Happold£¬Deva Ramanan +363,Learning From Synthetic Data for Crowd Counting in the Wild,,https://github.com/gjy3035/GCC-CL,,,,,,,Wednesday,Poster 2.2,166,Qi Wang,"Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan" +364,Context and Attribute Grounded Dense Captioning,,https://github.com/gjyin91/CAG-Net,https://zhuanlan.zhihu.com/p/57822460,https://gjyin91.github.io/projects/cagnet.html,,,,,Wednesday,Poster 2.1,201,Guojun Yin,"Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao" +365,Neural Rerendering in the Wild,,https://github.com/google/neural_rerendering_in_the_wild,,,,Wednesday,Oral 2.2C,14:42,Wednesday,Poster 2.2,142,Moustafa Meshry,"Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla" +366,Attentive Region Embedding Network for Zero-Shot Learning,,https://github.com/gsx0/Attentive-Region-Embedding-Network-for-Zero-shot-Learning,,,,,,,Thursday,Poster 3.1,45,Guo-Sen Xie, +367,Self-Calibrating Deep Photometric Stereo Networks,,https://github.com/guanyingc/SDPS-Net,,http://gychen.org/SDPS-Net/,,Thursday,Oral 3.1B,09:11,Thursday,Poster 3.1,84,Guanying Chen,"Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong" +368,Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding,,https://github.com/hassanhub/MultiGrounding,,,,,,,Thursday,Poster 3.2,189,Hassan Akbari,"Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang" +369,Learning Joint Reconstruction of Hands and Manipulated Objects,,https://github.com/hassony2/manopth,,https://www.di.ens.fr/willow/research/obman/,,,,,Thursday,Poster 3.2,85,Yana Hasson,"Yana Hasson, G¨¹l Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid" +370,Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers,,https://github.com/hejingwenhejingwen/AdaFM,,,,Thursday,Oral 3.2C,14:11,Thursday,Poster 3.2,154,Jingwen He,"Jingwen He, Chao Dong, and Yu Qiao" +371,Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition,,https://github.com/Heliang-Zheng/TASN,,,,,,,Wednesday,Poster 2.1,46,Heliang Zheng, +372,Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes,,https://github.com/hmgoforth/PointNetLK ,,,,,,,Thursday,Poster 3.1,106,Ziquan Lan,"Ziquan Lan, Zi Jian Yew£¬Gim Hee Lee" +373,K-Nearest Neighbors Hashing,,https://github.com/HolmesShuan/K-Nearest-Neighbors-Hashing,,,,,,,Tuesday,Poster 1.2,36,Xiangyu He,Xiangyu He and Peisong Wang and Jian Cheng +374,ODE-Inspired Network Design for Single Image Super-Resolution,,https://github.com/HolmesShuan/OISR-PyTorch,,,,,,,Tuesday,Poster 1.1,175,Xiangyu He,Xiangyu He and Zitao Mo and Peisong Wang and Yang Liu and Mingyuan Yang and Jian Cheng +375,Neural Scene Decomposition for Multi-Person Motion Capture,,https://github.com/hrhodin/NeuralSceneDecomposition,,,,,,,Wednesday,Poster 2.2,98,Helge Rhodin, +376,PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing,,https://github.com/hszhao/PointWeb,,,,,,,Wednesday,Poster 2.1,102,Hengshuang Zhao,"Hengshuang Zhao*, Li Jiang*, Chi-Wing Fu, and Jiaya Jia" +377,Deep Surface Normal Estimation With Hierarchical RGB-D Fusion,,https://github.com/huangyunmu/HFMNet_CVPR2019,,,,,,,Wednesday,Poster 2.1,192,Jin Zeng, +378,Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation,,https://github.com/hughw19/NOCS_CVPR2019,,,,Tuesday,Oral 1.2C,15:00,Tuesday,Poster 1.2,181,He Wang, +379,RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion,,https://github.com/iSarmad/RL-GAN-Net?,,,,,,,Wednesday,Poster 2.1,166,Muhammad Sarmad,"Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim" +380,ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features,,https://github.com/ISICV/ManTraNet,,,,,,,Thursday,Poster 3.1,76,Yue Wu, +381,Adversarial Inference for Multi-Sentence Video Description,,https://github.com/jamespark3922/adv-inf,,,,Wednesday,Oral 2.2B,13:40,Wednesday,Poster 2.2,179,Jae Sung Park,"Jae Sung Park,?Marcus Rohrbach,?Trevor Darrell,?Anna Rohrbach" +382,ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples,,https://github.com/jiaxiaojunQAQ/Comdefend,https://zhuanlan.zhihu.com/p/62232536,,,,,,Wednesday,Poster 2.1,185,Xiaojun Jia,"Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh" +383,Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations,,https://github.com/jiwoon-ahn/irn,,,,Tuesday,Oral 1.2A,14:11,Tuesday,Poster 1.2,25,Jiwoon Ahn,"Jiwoon Ahn, Sunghyun Cho, Suha Kwak" +384,Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization,,https://github.com/joe-siyuan-qiao/NeuralRejuvenation-CVPR19,,,,Tuesday,Oral 1.1A,09:36,Tuesday,Poster 1.1,7,Siyuan Qiao,"Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan Yuille" +385,FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network,,https://github.com/jonahthelion/FastDraw,,,,,,,Thursday,Poster 3.2,62,Jonah Philion,Jonah Philion +386,A General and Adaptive Robust Loss Function,,https://github.com/jonbarron/robust_loss_pytorch,,,,Wednesday,Oral 2.1A,09:06,Wednesday,Poster 2.1,7,Jonathan T. Barron,Jonathan T. Barron +387,A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision,,https://github.com/JosephineRabbit/MLMSNet,,,,,,,Wednesday,Poster 2.2,161,Runmin Wu,"Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding" +388,Attention-Based Dropout Layer for Weakly Supervised Object Localization,,https://github.com/junsukchoe/ADL,,,,Tuesday,Oral 1.2A,14:16,Tuesday,Poster 1.2,26,Junsuk Choe, +389,Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination,,https://github.com/JWSoh/NatSR,,,,,,,Wednesday,Poster 2.2,158,Jae Woong Soh, +390,Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection,,https://github.com/JXingZhao/ContrastPrior,,,,,,,Tuesday,Poster 1.2,164,Jia-Xing Zhao,"Zhao, Jia-Xing and Cao, Yang and Fan, Deng-Ping and Cheng, Ming-Ming and Li, Xuan-Yi and Zhang, Le" +391,Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection,,https://github.com/jx-zhong-for-academic-purpose/GCN-Anomaly-Detection,,,,,,,Tuesday,Poster 1.1,125,Jia-Xing Zhong, +392,Learning to Compose Dynamic Tree Structures for Visual Contexts,,https://github.com/KaihuaTang/VCTree-Visual-Question-Answering,,,,Wednesday,Oral 2.2B,13:53,Wednesday,Poster 2.2,181,Kaihua Tang,"Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu" +393,A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations,,https://github.com/kakumarabhishek/KernelizedManifoldMapping-1,,,,,,,Thursday,Poster 3.2,37,Saeid Asgari Taghanaki,"Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh" +394,Semantic Projection Network for Zero- and Few-Label Semantic Segmentation,,https://github.com/kazuto1011/deeplab-pytorch,,,,,,,Wednesday,Poster 2.2,172,Yongqin Xian, +395,DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection,,https://github.com/KuangJuiHsu/DeepCO3?,,,,Thursday,Oral 3.1C,08:48,Thursday,Poster 3.1,58,Kuang-Jui Hsu,"Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang" +396,Deep Metric Learning to Rank,,https://github.com/kunhe/FastAP-metric-learning,,,,,,,Tuesday,Poster 1.1,188,Fatih Cakir,"Fatih Cakir*,?Kun He*,?Xide Xia,?Brian Kulis, and?Stan Sclaroff" +397,Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss,,https://github.com/lelechen63/ATVGnet?,,,,,,,Wednesday,Poster 2.2,111,Lele Chen,"Lele Chen , Ross K Maddox, Zhiyao Duan, Chenliang Xu" +398,Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence,,https://github.com/lelimite4444/BridgeDepthFlow ,,,,,,,Tuesday,Poster 1.1,191,Hsueh-Ying Lai,"Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu" 399,Multi-Target Embodied Question Answering,,https://github.com/lichengunc/mteqa,,,,,,,Wednesday,Poster 2.1,208,Licheng Yu,"Yu, Licheng and Chen, Xinlei and Gkioxari, Georgia and Bansal, Mohit and Berg, Tamara L and Batra, Dhruv" -400,Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence,,https://github.com/lelimite4444/BridgeDepthFlow ,,,,,,,Tuesday,Poster 1.1,191,Hsueh-Ying Lai,"Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu" -401,Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss,,https://github.com/lelechen63/ATVGnet?,,,,,,,Wednesday,Poster 2.2,111,Lele Chen,"Lele Chen , Ross K Maddox, Zhiyao Duan, Chenliang Xu" -402,Deep Metric Learning to Rank,,https://github.com/kunhe/FastAP-metric-learning,,,,,,,Tuesday,Poster 1.1,188,Fatih Cakir,"Fatih Cakir*,?Kun He*,?Xide Xia,?Brian Kulis, and?Stan Sclaroff" -403,DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection,,https://github.com/KuangJuiHsu/DeepCO3?,,,,Thursday,Oral 3.1C,08:48,Thursday,Poster 3.1,58,Kuang-Jui Hsu,"Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang" -404,A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations,,https://github.com/kakumarabhishek/KernelizedManifoldMapping-1,,,,,,,Thursday,Poster 3.2,37,Saeid Asgari Taghanaki,"Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh" -405,Learning to Compose Dynamic Tree Structures for Visual Contexts,,https://github.com/KaihuaTang/VCTree-Visual-Question-Answering,,,,Wednesday,Oral 2.2B,13:53,Wednesday,Poster 2.2,181,Kaihua Tang,"Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu" -406,Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection,,https://github.com/jx-zhong-for-academic-purpose/GCN-Anomaly-Detection,,,,,,,Tuesday,Poster 1.1,125,Jia-Xing Zhong, -407,Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection,,https://github.com/JXingZhao/ContrastPrior,,,,,,,Tuesday,Poster 1.2,164,Jia-Xing Zhao,"Zhao, Jia-Xing and Cao, Yang and Fan, Deng-Ping and Cheng, Ming-Ming and Li, Xuan-Yi and Zhang, Le" -408,Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination,,https://github.com/JWSoh/NatSR,,,,,,,Wednesday,Poster 2.2,158,Jae Woong Soh, -409,Attention-Based Dropout Layer for Weakly Supervised Object Localization,,https://github.com/junsukchoe/ADL,,,,Tuesday,Oral 1.2A,14:16,Tuesday,Poster 1.2,26,Junsuk Choe, -410,A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision,,https://github.com/JosephineRabbit/MLMSNet,,,,,,,Wednesday,Poster 2.2,161,Runmin Wu,"Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding" -411,A General and Adaptive Robust Loss Function,,https://github.com/jonbarron/robust_loss_pytorch,,,,Wednesday,Oral 2.1A,09:06,Wednesday,Poster 2.1,7,Jonathan T. Barron,Jonathan T. Barron -412,FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network,,https://github.com/jonahthelion/FastDraw,,,,,,,Thursday,Poster 3.2,62,Jonah Philion,Jonah Philion -413,Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization,,https://github.com/joe-siyuan-qiao/NeuralRejuvenation-CVPR19,,,,Tuesday,Oral 1.1A,09:36,Tuesday,Poster 1.1,7,Siyuan Qiao,"Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan Yuille" -414,Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations,,https://github.com/jiwoon-ahn/irn,,,,Tuesday,Oral 1.2A,14:11,Tuesday,Poster 1.2,25,Jiwoon Ahn,"Jiwoon Ahn, Sunghyun Cho, Suha Kwak" -415,ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples,,https://github.com/jiaxiaojunQAQ/Comdefend,https://zhuanlan.zhihu.com/p/62232536,,,,,,Wednesday,Poster 2.1,185,Xiaojun Jia,"Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh" -416,Adversarial Inference for Multi-Sentence Video Description,,https://github.com/jamespark3922/adv-inf,,,,Wednesday,Oral 2.2B,13:40,Wednesday,Poster 2.2,179,Jae Sung Park,"Jae Sung Park,?Marcus Rohrbach,?Trevor Darrell,?Anna Rohrbach" -417,ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features,,https://github.com/ISICV/ManTraNet,,,,,,,Thursday,Poster 3.1,76,Yue Wu, -418,RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion,,https://github.com/iSarmad/RL-GAN-Net?,,,,,,,Wednesday,Poster 2.1,166,Muhammad Sarmad,"Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim" -419,Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation,,https://github.com/hughw19/NOCS_CVPR2019,,,,Tuesday,Oral 1.2C,15:00,Tuesday,Poster 1.2,181,He Wang, -420,Deep Surface Normal Estimation With Hierarchical RGB-D Fusion,,https://github.com/huangyunmu/HFMNet_CVPR2019,,,,,,,Wednesday,Poster 2.1,192,Jin Zeng, -421,PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing,,https://github.com/hszhao/PointWeb,,,,,,,Wednesday,Poster 2.1,102,Hengshuang Zhao,"Hengshuang Zhao*, Li Jiang*, Chi-Wing Fu, and Jiaya Jia" -422,Neural Scene Decomposition for Multi-Person Motion Capture,,https://github.com/hrhodin/NeuralSceneDecomposition,,,,,,,Wednesday,Poster 2.2,98,Helge Rhodin, -423,ODE-Inspired Network Design for Single Image Super-Resolution,,https://github.com/HolmesShuan/OISR-PyTorch,,,,,,,Tuesday,Poster 1.1,175,Xiangyu He,Xiangyu He and Zitao Mo and Peisong Wang and Yang Liu and Mingyuan Yang and Jian Cheng -424,K-Nearest Neighbors Hashing,,https://github.com/HolmesShuan/K-Nearest-Neighbors-Hashing,,,,,,,Tuesday,Poster 1.2,36,Xiangyu He,Xiangyu He and Peisong Wang and Jian Cheng -425,Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes,,https://github.com/hmgoforth/PointNetLK ,,,,,,,Thursday,Poster 3.1,106,Ziquan Lan,"Ziquan Lan, Zi Jian Yew£¬Gim Hee Lee" -426,Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition,,https://github.com/Heliang-Zheng/TASN,,,,,,,Wednesday,Poster 2.1,46,Heliang Zheng, -427,Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers,,https://github.com/hejingwenhejingwen/AdaFM,,,,Thursday,Oral 3.2C,14:11,Thursday,Poster 3.2,154,Jingwen He,"Jingwen He, Chao Dong, and Yu Qiao" -428,Learning Joint Reconstruction of Hands and Manipulated Objects,,https://github.com/hassony2/manopth,,https://www.di.ens.fr/willow/research/obman/,,,,,Thursday,Poster 3.2,85,Yana Hasson,"Yana Hasson, G¨¹l Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid" -429,Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding,,https://github.com/hassanhub/MultiGrounding,,,,,,,Thursday,Poster 3.2,189,Hassan Akbari,"Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang" -430,Self-Calibrating Deep Photometric Stereo Networks,,https://github.com/guanyingc/SDPS-Net,,http://gychen.org/SDPS-Net/,,Thursday,Oral 3.1B,09:11,Thursday,Poster 3.1,84,Guanying Chen,"Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong" -431,Attentive Region Embedding Network for Zero-Shot Learning,,https://github.com/gsx0/Attentive-Region-Embedding-Network-for-Zero-shot-Learning,,,,,,,Thursday,Poster 3.1,45,Guo-Sen Xie, -432,Neural Rerendering in the Wild,,https://github.com/google/neural_rerendering_in_the_wild,,,,Wednesday,Oral 2.2C,14:42,Wednesday,Poster 2.2,142,Moustafa Meshry,"Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla" -433,Context and Attribute Grounded Dense Captioning,,https://github.com/gjyin91/CAG-Net,https://zhuanlan.zhihu.com/p/57822460,https://gjyin91.github.io/projects/cagnet.html,,,,,Wednesday,Poster 2.1,201,Guojun Yin,"Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao" -434,Learning From Synthetic Data for Crowd Counting in the Wild,,https://github.com/gjy3035/GCC-CL,,,,,,,Wednesday,Poster 2.2,166,Qi Wang,"Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan" -435,Hierarchical Deep Stereo Matching on High-Resolution Images,,https://github.com/gengshan-y/high-res-stereo,,http://www.contrib.andrew.cmu.edu/~gengshay/cvpr19stereo,,,,,Wednesday,Poster 2.1,97,Gengshan Yang,Gengshan Yang£¬Joshua Manela£¬ Michael Happold£¬Deva Ramanan -436,Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression,,https://github.com/generalized-iou/Detectron.pytorch,https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw,,,,,,Tuesday,Poster 1.1,43,Hamid Rezatofighi,"Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese" -437,3D Hand Shape and Pose Estimation From a Single RGB Image,,https://github.com/geliuhao/3DHandShapePosefromRGB,,https://sites.google.com/site/geliuhaontu/home/cvpr2019,,Thursday,Oral 3.2B,13:48,Thursday,Poster 3.2,95,Liuhao Ge,"Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan" -438,Semantic Graph Convolutional Networks for 3D Human Pose Regression,,https://github.com/garyzhao/SemGCN,,,,,,,Tuesday,Poster 1.2,95,Long Zhao, -439,Pedestrian Detection With Autoregressive Network Phases,,https://github.com/garrickbrazil/AR-Ped,,,,,,,Wednesday,Poster 2.2,49,Garrick Brazil,"Garrick Brazil, Xiaoming Liu" -440,Graphonomy: Universal Human Parsing via Graph Transfer Learning,,https://github.com/Gaoyiminggithub/Graphonomy,,,,,,,Wednesday,Poster 2.2,72,Ke Gong,"Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin" -441,Deep Geometric Prior for Surface Reconstruction,,https://github.com/fwilliams/deep-geometric-prior,,,,,,,Thursday,Poster 3.1,151,Francis Williams,"Francis Williams, Teseo Schneider, Claudio Silva, Denis Zorin, Joan Bruna, Daniele Panozzo" -442,PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation,,https://github.com/FoggYu/PartNet,,,,,,,Thursday,Poster 3.1,71,Fenggen Yu,"Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu" -443,Spatial Fusion GAN for Image Synthesis,,https://github.com/fnzhan/SF-GAN,,,,,,,Tuesday,Poster 1.2,136,Fangneng Zhan, -444,Unsupervised Image Captioning,,https://github.com/fengyang0317/unsupervised_captioning?,,,,,,,Tuesday,Poster 1.2,202,Yang Feng,"Yang Feng, Lin Ma, Wei Liu, Jiebo Luo" -445,MVF-Net: Multi-View 3D Face Morphable Model Regression,,https://github.com/Fanziapril/mvfnet,,,,,,,Tuesday,Poster 1.1,85,Fanzi Wu,"Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu" -446,Inverse Cooking: Recipe Generation From Food Images,,https://github.com/facebookresearch/inversecooking,,,,,,,Thursday,Poster 3.1,184,Amaia Salvador,"Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto, Adriana Romero" -447,Practical Full Resolution Learned Lossless Image Compression,,https://github.com/fab-jul/L3C-PyTorch,,,,Thursday,Oral 3.2A,13:30,Thursday,Poster 3.2,1,Fabian Mentzer,"Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool" -448,Mixture Density Generative Adversarial Networks,,https://github.com/eghbalz/mdgan,,,,,,,Wednesday,Poster 2.1,158,Hamid Eghbal-zadeh,"Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer" -449,Searching for a Robust Neural Architecture in Four GPU Hours,,https://github.com/D-X-Y/GDAS?,,,,,,,Tuesday,Poster 1.1,178,Xuanyi Dong,"Xuanyi Dong, Yi Yang" -450,CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation,,https://github.com/dumyy/handpose ,,,,,,,Thursday,Poster 3.1,127,Kuo Du,"Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma" -451,OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks,,https://github.com/dsfour/OICSR,,,,,,,Wednesday,Poster 2.2,12,Jiashi Li,"Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun" -452,Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells,,https://github.com/DrSleep/nas-segm-pytorch,,,,,,,Thursday,Poster 3.1,18,Vladimir Nekrasov,"Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian Reid" -453,Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning,,https://github.com/Dong-JinKim/DenseRelationalCaptioning,,,,,,,Wednesday,Poster 2.1,204,Dong-Jin Kim,"Done by Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, and In So Kweon" -454,Shifting More Attention to Video Salient Object Detection,,https://github.com/DengPingFan/DAVSOD,,,,Thursday,Oral 3.1A,08:48,Thursday,Poster 3.1,193,Deng-Ping Fan,"Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen" -455,Exploiting Temporal Context for 3D Human Pose Estimation in the Wild,,https://github.com/deepmind/Temporal-3D-Pose-Kinetics?,,,,,,,Tuesday,Poster 1.2,92,Anurag Arnab,"Anurag Arnab, Carl Doersch, Andrew Zisserman" -456,MAGSAC: Marginalizing Sample Consensus,,https://github.com/danini/magsac,,,,,,,Thursday,Poster 3.1,158,Daniel Barath, -457,Dual Encoding for Zero-Example Video Retrieval,,https://github.com/danieljf24/dual_encoding,,,,,,,Thursday,Poster 3.1,41,Jianfeng Dong,"Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang and Xun Wang" -458,Second-Order Attention Network for Single Image Super-Resolution,,https://github.com/daitao/SAN,,,,Thursday,Oral 3.2C,14:16,Thursday,Poster 3.2,155,Tao Dai, -459,Visual Tracking via Adaptive Spatially-Regularized Correlation Filters,,https://github.com/Daikenan/ASRCF ,,,,Wednesday,Oral 2.1C,09:29,Wednesday,Poster 2.1,145,Kenan Dai,"Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li" -460,Example-Guided Style-Consistent Image Synthesis From Semantic Labeling,,https://github.com/cxjyxxme/pix2pixSC,,,,,,,Tuesday,Poster 1.1,151,Miao Wang,"Miao Wang1, Guo-Ye Yang2, Ruilong Li2, Run-Ze Liang2, Song-Hai Zhang2, Peter M. Hall3?and Shi-Min Hu" -461,STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing,,https://github.com/csmliu/STGAN?,,,,,,,Tuesday,Poster 1.2,138,Ming Liu,"Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen" -462,Divide and Conquer the Embedding Space for Metric Learning,,https://github.com/CompVis/metric-learning-divide-and-conquer,,,,,,,Tuesday,Poster 1.1,24,Artsiom Sanakoyeu,"Sanakoyeu, Artsiom and Tschernezki, Vadim and B\""uchler, Uta and Ommer, Bj\""orn" -463,Acoustic Non-Line-Of-Sight Imaging,,https://github.com/computational-imaging/AcousticNLOS,,http://www.computationalimaging.org/publications/acoustic-non-line-of-sight-imaging/,,Wednesday,Oral 2.2C,13:40,Wednesday,Poster 2.2,132,David B. Lindell,"David B. Lindell, Gordon Wetzstein, Vladlen Koltun" -464,Context-Aware Crowd Counting,,https://github.com/CommissarMa/Context-Aware_Crowd_Counting-pytorch,,,,,,,Wednesday,Poster 2.1,55,Weizhe Liu,"Weizhe Liu, Mathieu Salzmann, Pascal Fua" -465,COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis,,https://github.com/coin-dataset/code,https://mp.weixin.qq.com/s/YFmgdIEfLCvL5LLGQ0vesw,https://coin-dataset.github.io/,,,,,Tuesday,Poster 1.1,122,Yansong Tang,"Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou" -466,Towards Natural and Accurate Future Motion Prediction of Humans and Animals,,https://github.com/CoderStellaJ/Hierarchical-Motion-Recurrent-Network-Website,https://coderstellaj.github.io/Hierarchical-Motion-Recurrent-Network-Website/,,,,,,Thursday,Poster 3.1,138,Zhenguang Liu,Zhenguang Liu (Zhejiang Gongshang University)*; Shuang Wu (Nanyang Technological University); Shuyuan Jin (NUS); Qi Liu (National University of Singapore); Shijian Lu (Nanyang Technological University); Roger Zimmermann (NUS); Li Cheng (University of Alberta) -467,Multi-Label Image Recognition With Graph Convolutional Networks,,https://github.com/chenzhaomin123/ML_GCN,,,,,,,Wednesday,Poster 2.1,63,Zhao-Min Chen,"Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo" -468,Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval,,https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning?,,,,,,,Tuesday,Poster 1.2,9,Binghui Chen,"Binghui Chen, Weihong Deng" -469,"Zoom to Learn, Learn to Zoom",,https://github.com/ceciliavision/zoom-learn-zoom,,https://ceciliavision.github.io/project-pages/project-zoom.html?,,,,,Tuesday,Poster 1.2,147,Xuaner Zhang,"Xuaner Cecilia Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun " -470,Pyramid Feature Attention Network for Saliency Detection,,https://github.com/CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection,,,,,,,Tuesday,Poster 1.2,61,Ting Zhao,"Ting Zhao, Xiangqian Wu" -471,3D Hand Shape and Pose From Images in the Wild,,https://github.com/boukhayma/3dhand,,,,Thursday,Oral 3.2B,13:53,Thursday,Poster 3.2,96,Adnane Boukhayma,"Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr" -472,End-To-End Projector Photometric Compensation,,https://github.com/BingyaoHuang/compennet?,,,,Wednesday,Oral 2.2C,13:58,Wednesday,Poster 2.2,135,Bingyao Huang,"Bingyao Huang, Haibin Ling" -473,RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation,,https://github.com/bastianwandt/RepNet,,,,,,,Wednesday,Poster 2.2,106,Bastian Wandt,"Bastian Wandt, Bodo Rosenhahn" -474,Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning,,https://github.com/AyanKumarBhunia/Handwriting_Recogition_using_Adversarial_Learning?,,,,,,,Wednesday,Poster 2.1,21,Ayan Kumar Bhunia,"Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy" -475,LAEO-Net: Revisiting People Looking at Each Other in Videos,,https://github.com/AVAuco/ucolaeodb,,http://www.robots.ox.ac.uk/~vgg/research/laeonet?,,,,,Tuesday,Poster 1.2,100,Manuel J. Marin-Jimenez,Manuel J Marin-Jimenez£¬Vicky Kalogeiton£¬Pablo Medina-Suarez£¬Andrew Zisserman -476,PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds,,https://github.com/aseembehl/pointflownet ,,,,,,,Wednesday,Poster 2.2,124,Aseem Behl,"Aseem Behl, Despoina Paschalidou, Simon Donn¨¦, Andreas Geiger" -477,Automatic Adaptation of Object Detectors to New Domains Using Self-Training,,https://github.com/AruniRC/detectron-self-train,,http://vis-www.cs.umass.edu/self-train/,,,,,Tuesday,Poster 1.1,55,Aruni RoyChowdhury,"Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao and Erik Learned-Miller " -478,Zero-Shot Task Transfer,,https://github.com/ArghyaPal/Zero-shot-task-transfer,,,,Tuesday,Oral 1.2A,13:58,Tuesday,Poster 1.2,23,Arghya Pal, -479,Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation,,https://github.com/apple/ml-cvpr2019-swd,,,,,,,Thursday,Poster 3.1,167,Chen-Yu Lee,"Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht" -480,Bringing Alive Blurred Moments,,https://github.com/anshulbshah/Blurred-Image-to-Video,,,,Wednesday,Oral 2.2C,14:11,Wednesday,Poster 2.2,137,Kuldeep Purohit, -481,Improved Road Connectivity by Joint Learning of Orientation and Segmentation,,https://github.com/anilbatra2185/road_connectivity,,,,,,,Thursday,Poster 3.1,177,Anil Batra,Anil Batra£¬Suriya Singh£¬Guan Pang£¬Saikat Basu£¬C.V. Jawahar1 Manohar Paluri -482,Depth From a Polarisation + RGB Stereo Pair,,https://github.com/AmosZhu/CVPR2019,,,,,,,Wednesday,Poster 2.2,86,Dizhong Zhu,"Dizhong Zhu, William A.P. Smith" -483,GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices,,https://github.com/amnonge/GPSFM-Code,,,,,,,Tuesday,Poster 1.2,79,Yoni Kasten,Yoni Kasten* Amnon Geifman* Meirav Galun Ronen Basri -484,Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction,,https://github.com/alexklwong/adareg-monodispnet,,,,,,,Wednesday,Poster 2.1,125,Alex Wong,"Alex Wong, Byung-Woo Hong, Stefano Soatto" -485,Video Action Transformer Network,,https://github.com/alainray/action_transformer,,,,Tuesday,Oral 1.1C,09:00,Tuesday,Poster 1.1,109,Rohit Girdhar,"Rohit Girdhar, Jo?o Carreira, Carl Doersch, Andrew Zisserman" -486,Learning 3D Human Dynamics From Video,,https://github.com/akanazawa/human_dynamics?,,,,,,,Wednesday,Poster 2.1,122,Angjoo Kanazawa,"Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik" -487,Reflection Removal Using a Dual-Pixel Sensor,,https://github.com/abhijithpunnappurath/dprr,,https://abhijithpunnappurath.github.io/dprr,,,,,Tuesday,Poster 1.1,157,Abhijith Punnappurath,"Abhijith Punnappurath ,Michael S. Brown" -488,Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence,,https://github.com/A2Zadeh/Social-IQ,,,,Thursday,Oral 3.1B,09:52,Thursday,Poster 3.1,91,Amir Zadeh, -489,FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization,,https://bitbucket.org/gaowei19951004/poser/src/master/ ,,,,Thursday,Oral 3.2C,14:34,Thursday,Poster 3.2,158,Wei Gao,"Wei Gao, Russ Tedrake" -490,Action Recognition From Single Timestamp Supervision in Untrimmed Videos,,https://bitbucket.org/dmoltisanti/action_recognition_single_timestamps/src/master/,,https://dimadamen.github.io/single_timestamps/,,,,,Thursday,Poster 3.1,129,Davide Moltisanti,"Davide Moltisanti, Sanja Fidler, Dima Damen" -491,DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds,,https://ai4ce.github.io/DeepMapping/,,,,Thursday,Oral 3.1A,09:47,Thursday,Poster 3.1,203,Li Ding,"Li Ding, Chen Feng" -492,A Simple Pooling-Based Design for Real-Time Salient Object Detection,,http://mmcheng.net/poolnet/ ,,,,,,,Tuesday,Poster 1.2,163,Jiang-Jiang Liu,"Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang" -493,Parallel Optimal Transport GAN,,,,,,Wednesday,Oral 2.1A,09:52,Wednesday,Poster 2.1,15,Gil Avraham, -494,Learning to Explain With Complemental Examples,,,,,,Thursday,Oral 3.1A,09:16,Thursday,Poster 3.1,198,Atsushi Kanehira,"Atsushi Kanehira, Tatsuya Harada" -495,Textured Neural Avatars,,,,,,Tuesday,Oral 1.2B,14:11,Tuesday,Poster 1.2,125,Aliaksandra Shysheya,"Aliaksandra Shysheya (Samsung AI Center, Skolkovo Institute of Science and Technology), Egor Zakharov (Samsung AI Center, Skolkovo Institute of Science and Technology), Kara-Ali Aliev (Samsung AI Center), Renat Bashirov (Samsung AI Center), Egor Burkov (Samsung AI Center, Skolkovo Institute of Science and Technology), Karim Iskakov (Samsung AI Center), Aleksei Ivakhnenko (Samsung AI Center), Yury Malkov (Samsung AI Center), Igor Pasechnik (Samsung AI Center), Dmitry Ulyanov (Samsung AI Center, Skolkovo Institute of Science and Technology), Alexander Vakhitov (Samsung AI Center, Skolkovo Institute of Science and Technology), Victor Lempitsky (Samsung AI Center, Skolkovo Institute of Science and Technology)" -496,AE2-Nets: Autoencoder in Autoencoder Networks,,,,,,Tuesday,Oral 1.2C,14:16,Tuesday,Poster 1.2,174,Changqing Zhang,Changqing Zhang £¬Yeqing Liu£¬ Huazhu Fu -497,Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking,,,,,,Wednesday,Oral 2.1C,08:48,Wednesday,Poster 2.1,138,Jae Shin Yoon, -498,Self-Supervised Representation Learning From Videos for Facial Action Unit Detection,,,,,,Thursday,Oral 3.2B,14:42,Thursday,Poster 3.2,104,Yong Li, -499,IM-Net for High Resolution Video Frame Interpolation,,,,,,Tuesday,Oral 1.2B,14:16,Tuesday,Poster 1.2,126,Tomer Peleg, -500,SiCloPe: Silhouette-Based Clothed People,,,,,,Wednesday,Oral 2.1B,09:06,Wednesday,Poster 2.1,112,Ryota Natsume, -501,Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction,,,,,,Thursday,Oral 3.2B,14:11,Thursday,Poster 3.2,99,Hanbyul Joo, -502,LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning,,,,,,Wednesday,Oral 2.2A,15:00,Wednesday,Poster 2.2,40,Amit Alfassy, -503,Cycle-Consistency for Robust Visual Question Answering,,,,,,Wednesday,Oral 2.2B,14:11,Wednesday,Poster 2.2,184,Meet Shah, -504,Efficient Video Classification Using Fewer Frames,,,,,,Tuesday,Oral 1.1C,10:04,Tuesday,Poster 1.1,120,Shweta Bhardwaj, -505,Diverse Generation for Multi-Agent Sports Games,,,,,,Wednesday,Oral 2.1C,08:53,Wednesday,Poster 2.1,139,Raymond A. Yeh, -506,Relational Action Forecasting,,,,,,Tuesday,Oral 1.1C,09:18,Tuesday,Poster 1.1,112,Chen Sun, -507,Barrage of Random Transforms for Adversarially Robust Defense,,,,,,Wednesday,Oral 2.2A,14:47,Wednesday,Poster 2.2,38,Edward Raff, -508,Unsupervised Person Image Generation With Semantic Parsing Transformation,,,,,,Tuesday,Oral 1.2B,13:53,Tuesday,Poster 1.2,122,Sijie Song, -509,Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations,,,,,,Wednesday,Oral 2.2B,13:48,Wednesday,Poster 2.2,180,Hao Wu, -510,Few-Shot Learning With Localization in Realistic Settings,,,,,,Wednesday,Oral 2.2A,15:05,Wednesday,Poster 2.2,41,Davis Wertheimer, -511,Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes,,,,,,Thursday,Oral 3.1C,09:06,Thursday,Poster 3.1,61,Xiaogang Wang, -512,GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching,,,,,,Wednesday,Oral 2.1C,09:06,Wednesday,Poster 2.1,141,Simone Melzi, -513,Learning Structure-And-Motion-Aware Rolling Shutter Correction,,,,,,Wednesday,Oral 2.1B,09:47,Wednesday,Poster 2.1,119,Bingbing Zhuang, -514,Do Better ImageNet Models Transfer Better?,,,,,,Tuesday,Oral 1.2C,15:10,Tuesday,Poster 1.2,183,Simon Kornblith, -515,Unsupervised Learning of Dense Shape Correspondence,,,,,,Wednesday,Oral 2.1A,09:29,Wednesday,Poster 2.1,11,Oshri Halimi, -516,Streamlined Dense Video Captioning,,,,,,Wednesday,Oral 2.2B,13:35,Wednesday,Poster 2.2,178,Jonghwan Mun, -517,Auto-Encoding Scene Graphs for Image Captioning,,,,,,Thursday,Oral 3.2A,14:06,Thursday,Poster 3.2,7,Xu Yang, -518,Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network,,,,,,Thursday,Oral 3.1C,09:24,Thursday,Poster 3.1,64,Wenda Zhao, -519,Neural Illumination: Lighting Prediction for Indoor Environments,,,,,,Wednesday,Oral 2.2C,15:05,Wednesday,Poster 2.2,146,Shuran Song, -520,Shapes and Context: In-The-Wild Image Synthesis & Manipulation,,,,,,Tuesday,Oral 1.2B,13:30,Tuesday,Poster 1.2,118,Aayush Bansal, -521,"Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech",,,,,,Thursday,Oral 3.2A,14:11,Thursday,Poster 3.2,8,Aditya Deshpande, -522,"Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model",,,,,,Thursday,Oral 3.1B,08:30,Thursday,Poster 3.1,77,Tian Han, -523,Learning to Synthesize Motion Blur,,,,http://timothybrooks.com/tech/motion-blur/,,Wednesday,Oral 2.2C,14:16,Wednesday,Poster 2.2,138,Tim Brooks,"Tim Brooks, Jonathan T. Barron" -524,Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry,,,,,,Thursday,Oral 3.1A,08:58,Thursday,Poster 3.1,195,Fei Xue, -525,Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search,,,,,,Thursday,Oral 3.1B,09:29,Thursday,Poster 3.1,87,Abhimanyu Dubey, -526,Gaussian Temporal Awareness Networks for Action Localization,,,,,,Tuesday,Oral 1.1C,09:59,Tuesday,Poster 1.1,119,Fuchen Long, -527,Photon-Flooded Single-Photon 3D Cameras,,,,,,Wednesday,Oral 2.2C,13:30,Wednesday,Poster 2.2,130,Anant Gupta, -528,NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences,,,,,,Tuesday,Oral 1.1B,09:54,Tuesday,Poster 1.1,81,Chen Zhao, -529,End-To-End Interpretable Neural Motion Planner,,,,,,Thursday,Oral 3.1A,09:52,Thursday,Poster 3.1,204,Wenyuan Zeng, -530,Learning Spatial Common Sense With Geometry-Aware Recurrent Networks,,,,,,Tuesday,Oral 1.2C,14:29,Tuesday,Poster 1.2,176,Hsiao-Yu Fish Tung, -531,Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image,,,,,,Tuesday,Oral 1.1B,10:04,Tuesday,Poster 1.1,83,Xiaoguang Han, -532,H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions,,,,,,Wednesday,Oral 2.1B,09:24,Wednesday,Poster 2.1,115,Bugra Tekin, -533,d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding,,,,,,Tuesday,Oral 1.2C,13:30,Tuesday,Poster 1.2,166,Xiang Xu, -534,A Sufficient Condition for Convergences of Adam and RMSProp,,,,,,Thursday,Oral 3.2C,14:52,Thursday,Poster 3.2,161,Fangyu Zou, -535,Gait Recognition via Disentangled Representation Learning,,,,,,Wednesday,Oral 2.1C,09:52,Wednesday,Poster 2.1,149,Ziyuan Zhang, -536,Constrained Generative Adversarial Networks for Interactive Image Generation,,,,,,Thursday,Oral 3.2A,14:47,Thursday,Poster 3.2,14,Eric Heim, -537,Unprocessing Images for Learned Raw Denoising,,,,http://timothybrooks.com/tech/unprocessing/,,Thursday,Oral 3.2C,13:58,Thursday,Poster 3.2,152,Tim Brooks,"Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron" -538,Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields,,,,,,Wednesday,Oral 2.1C,08:58,Wednesday,Poster 2.1,140,Yaadhav Raaj, -539,Cross-Modality Personalization for Retrieval,,,,,,Wednesday,Oral 2.2A,13:48,Wednesday,Poster 2.2,28,Nils Murrugarra-Llerena, -540,FML: Face Model Learning From Videos,,,https://mp.weixin.qq.com/s/wxZXVtzgxzBKqWOyt9Godw,http://gvv.mpi-inf.mpg.de/projects/FML19/,,Thursday,Oral 3.2B,13:35,Thursday,Poster 3.2,93,Ayush Tewari,A. Tewari F. Bernard P. Garrido G. Bharaj M. Elgharib H-P. Seidel P. Perez M. Zollh?fer C.Theobalt -541,Learning Joint Gait Representation via Quintuplet Loss Minimization,,,,,,Wednesday,Oral 2.1C,09:47,Wednesday,Poster 2.1,148,Kaihao Zhang, -542,Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation,,,,,,Thursday,Oral 3.2B,14:24,Thursday,Poster 3.2,101,Xipeng Chen, -543,DeepVoxels: Learning Persistent 3D Feature Embeddings,,,,,,Tuesday,Oral 1.2B,14:42,Tuesday,Poster 1.2,130,Vincent Sitzmann, -544,Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification,,,,,,Wednesday,Oral 2.2A,14:29,Wednesday,Poster 2.2,35,Si Wu, -545,Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light,,,,,,Wednesday,Oral 2.1B,08:35,Wednesday,Poster 2.1,107,Yu Zhang, -546,Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera,,,,,,Thursday,Oral 3.2C,13:30,Thursday,Poster 3.2,147,Chao Liu, -547,Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation,,,,,,Tuesday,Oral 1.2C,14:47,Tuesday,Poster 1.2,179,Po-Yi Chen, -548,Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues,,,,,,Thursday,Oral 3.2B,14:34,Thursday,Poster 3.2,103,Natalia Neverova, -549,Inverse Procedural Modeling of Knitwear,,,,,,Thursday,Oral 3.1A,09:34,Thursday,Poster 3.1,201,Elena Trunz, -550,Online High Rank Matrix Completion,,,,,,Thursday,Oral 3.1B,08:40,Thursday,Poster 3.1,79,Jicong Fan, -551,Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation,,,https://mp.weixin.qq.com/s/LsHWkdwqqrOPFgCNNcBdpg,,,Wednesday,Oral 2.2B,13:58,Wednesday,Poster 2.2,182,Xin Wang,"Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang" -552,SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks,,,,,,Tuesday,Oral 1.2C,14:06,Tuesday,Poster 1.2,172,Rene Schuster, -553,Guaranteed Matrix Completion Under Multiple Linear Transformations,,,,,,Thursday,Oral 3.2C,15:00,Thursday,Poster 3.2,162,Chao Li, -554,AutoAugment: Learning Augmentation Strategies From Data,,,,,,Tuesday,Oral 1.1A,10:04,Tuesday,Poster 1.1,12,Ekin D. Cubuk, -555,DeepView: View Synthesis With Learned Gradient Descent,,,,,,Tuesday,Oral 1.2B,13:58,Tuesday,Poster 1.2,123,John Flynn, -556,C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition,,,,,,Tuesday,Oral 1.2A,15:10,Tuesday,Poster 1.2,35,Poojan Oza, -557,Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection,,,,,,Wednesday,Oral 2.2A,13:40,Wednesday,Poster 2.2,27,Hang Xu, -558,A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction,,,,,,Wednesday,Oral 2.2C,13:53,Wednesday,Poster 2.2,134,Shumian Xin, -559,Combining 3D Morphable Models: A Large Scale Face-And-Head Model,,,,,,Thursday,Oral 3.2B,14:47,Thursday,Poster 3.2,105,Stylianos Ploumpis, -560,Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus,,,,,,Thursday,Oral 3.2C,14:47,Thursday,Poster 3.2,160,Thomas Mollenhoff, -561,"Monocular Total Capture: Posing Face, Body, and Hands in the Wild",,,,http://domedb.perception.cs.cmu.edu/monototalcapture.html?,,Thursday,Oral 3.2B,15:05,Thursday,Poster 3.2,108,Donglai Xiang,"Donglai Xiang, Hanbyul Joo, Yaser Sheikh" -562,Deep Sky Modeling for Single Image Outdoor Lighting Estimation,,,,,,Wednesday,Oral 2.2C,15:10,Wednesday,Poster 2.2,147,Yannick Hold-Geoffroy, -563,Transferrable Prototypical Networks for Unsupervised Domain Adaptation,,,,,,Tuesday,Oral 1.2A,14:29,Tuesday,Poster 1.2,28,Yingwei Pan, -564,Learning the Depths of Moving People by Watching Frozen People,,,,,,Wednesday,Oral 2.1B,09:29,Wednesday,Poster 2.1,116,Zhengqi Li, -565,Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks,,,,,,Tuesday,Oral 1.2A,14:34,Tuesday,Poster 1.2,29,Ziliang Chen, -566,Semantic Correlation Promoted Shape-Variant Context for Segmentation,,,,,,Thursday,Oral 3.1C,09:11,Thursday,Poster 3.1,62,Henghui Ding, -567,Pushing the Boundaries of View Extrapolation With Multiplane Images,,,,,,Tuesday,Oral 1.1B,09:28,Tuesday,Poster 1.1,77,Pratul P. Srinivasan, -568,Revealing Scenes by Inverting Structure From Motion Reconstructions,,,,,,Tuesday,Oral 1.1B,09:10,Tuesday,Poster 1.1,74,Francesco Pittaluga, -569,Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope,,,,,,Thursday,Oral 3.2C,14:42,Thursday,Poster 3.2,159,Tolga Birdal, -570,Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology,,,,,,Thursday,Oral 3.1A,08:30,Thursday,Poster 3.1,190,Ke Yan, -571,"Point in, Box Out: Beyond Counting Persons in Crowds",,,,,,Wednesday,Oral 2.2A,14:11,Wednesday,Poster 2.2,32,Yuting Liu, -572,Striking the Right Balance With Uncertainty,,,,,,Tuesday,Oral 1.1A,09:59,Tuesday,Poster 1.1,11,Salman Khan, -573,Strand-Accurate Multi-View Hair Capture,,,,,,Tuesday,Oral 1.1B,09:18,Tuesday,Poster 1.1,75,Giljoo Nam, -574,In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations,,,,,,Thursday,Oral 3.2B,14:29,Thursday,Poster 3.2,102,Ikhsanul Habibie, -575,Blind Visual Motif Removal From a Single Image,,,,,,Wednesday,Oral 2.2C,14:29,Wednesday,Poster 2.2,140,Amir Hertz, -576,Label-Noise Robust Generative Adversarial Networks,,,,,,Tuesday,Oral 1.2B,15:00,Tuesday,Poster 1.2,133,Takuhiro Kaneko, -577,Boosting Local Shape Matching for Dense 3D Face Correspondence,,,,,,Thursday,Oral 3.2B,14:52,Thursday,Poster 3.2,106,Zhenfeng Fan, -578,A Convex Relaxation for Multi-Graph Matching,,,,,,Thursday,Oral 3.2C,15:10,Thursday,Poster 3.2,164,Paul Swoboda, -579,Learning Correspondence From the Cycle-Consistency of Time,,,,https://ajabri.github.io/timecycle/,,Tuesday,Oral 1.2C,14:11,Tuesday,Poster 1.2,173,Xiaolong Wang,"Xiaolong Wang, Allan Jabri, Alexei A. Efros" -580,Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes,,,,,,Tuesday,Oral 1.1C,09:28,Tuesday,Poster 1.1,114,Yuke Li, -581,What Correspondences Reveal About Unknown Camera and Motion Models?,,,,,,Thursday,Oral 3.1B,09:06,Thursday,Poster 3.1,83,Thomas Probst, -582,Long-Term Feature Banks for Detailed Video Understanding,,,,,,Tuesday,Oral 1.1C,09:23,Tuesday,Poster 1.1,113,Chao-Yuan Wu, -583,Deep Metric Learning Beyond Binary Supervision,,,,,,Tuesday,Oral 1.2A,15:00,Tuesday,Poster 1.2,33,Sungyeon Kim, -584,GeoNet: Deep Geodesic Networks for Point Cloud Analysis,,,https://mp.weixin.qq.com/s/2dqw6__2k51B4SSkLYRTfw?,,,Wednesday,Oral 2.2C,14:47,Wednesday,Poster 2.2,143,Tong He,"Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto" -585,Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry,,,,,,Tuesday,Oral 1.1B,09:59,Tuesday,Poster 1.1,82,Matthew Trager, -586,Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks,,,,,,Wednesday,Oral 2.1A,08:53,Wednesday,Poster 2.1,5,Yinpeng Dong, -587,Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling,,,,,,Thursday,Oral 3.1B,08:58,Thursday,Poster 3.1,82,Yuanman Li, -588,HoloPose: Holistic 3D Human Reconstruction In-The-Wild,,,,,,Thursday,Oral 3.2B,14:16,Thursday,Poster 3.2,100,Riza Alp Guler, -589,CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification,,,https://mp.weixin.qq.com/s/68OW_7EIkzCF4HnBVcz6qg,,,Thursday,Oral 3.1B,09:47,Thursday,Poster 3.1,90,Zheng Tang,"Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang" -590,Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration,,,,,,Thursday,Oral 3.1A,08:53,Thursday,Poster 3.1,194,De-An Huang, -591,On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions,,,,,,Tuesday,Oral 1.1A,09:28,Tuesday,Poster 1.1,6,Yusuke Tsuzuku, -592,Structured Knowledge Distillation for Semantic Segmentation,,,https://mp.weixin.qq.com/s/WvYPf7xHu4TtuDan_Hh_pQ,,,Tuesday,Oral 1.2C,14:34,Tuesday,Poster 1.2,177,Yifan Liu,"Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang " -593,Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking,,,,,,Wednesday,Oral 2.1C,09:11,Wednesday,Poster 2.1,142,Andrii Maksai, -594,Balanced Self-Paced Learning for Generative Adversarial Clustering Network,,,,,,Wednesday,Oral 2.1A,09:42,Wednesday,Poster 2.1,13,Kamran Ghasedi, -595,LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation,,,,,,Tuesday,Oral 1.1B,09:46,Tuesday,Poster 1.1,80,Sunok Kim, -596,AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations,,,,,,Thursday,Oral 3.2B,13:40,Thursday,Poster 3.2,94,Xiao Zhang, -597,Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection,,,,,,Wednesday,Oral 2.1A,09:24,Wednesday,Poster 2.1,10,Ruoqi Sun, -598,STEP: Spatio-Temporal Progressive Learning for Video Action Detection,,,,,,Tuesday,Oral 1.1C,09:10,Tuesday,Poster 1.1,111,Xitong Yang, -599,Tangent-Normal Adversarial Regularization for Semi-Supervised Learning,,,,,,Thursday,Oral 3.2A,13:58,Thursday,Poster 3.2,6,Bing Yu, -600,Underexposed Photo Enhancement Using Deep Illumination Estimation,,,,,,Wednesday,Oral 2.2C,14:24,Wednesday,Poster 2.2,139,Ruixing Wang, -601,Deep Tree Learning for Zero-Shot Face Anti-Spoofing,,,,,,Wednesday,Oral 2.1C,09:34,Wednesday,Poster 2.1,146,Yaojie Liu, -602,Multimodal Explanations by Predicting Counterfactuality in Videos,,,,,,Thursday,Oral 3.1A,09:11,Thursday,Poster 3.1,197,Atsushi Kanehira, -603,The Visual Centrifuge: Model-Free Layered Video Representations,,,,,,Tuesday,Oral 1.2B,14:52,Tuesday,Poster 1.2,132,Jean-Baptiste Alayrac, -604,AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs,,,,,,Wednesday,Oral 2.2A,15:10,Wednesday,Poster 2.2,42,Massimiliano Mancini, -605,MeshAdv: Adversarial Meshes for Visual Recognition,,,,,,Wednesday,Oral 2.2C,14:52,Wednesday,Poster 2.2,144,Chaowei Xiao, -606,Incremental Object Learning From Contiguous Views,,,,,,Thursday,Oral 3.1B,09:34,Thursday,Poster 3.1,88,Stefan Stojanov, -607,Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach,,,,,,Tuesday,Oral 1.2C,14:24,Tuesday,Poster 1.2,175,Proteek Chandan Roy, -608,Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss,,,,,,Wednesday,Oral 2.1A,09:16,Wednesday,Poster 2.1,9,Sangil Jung, -609,Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video,,,,,,Thursday,Oral 3.1A,09:42,Thursday,Poster 3.1,202,Zongmian Li, -610,Robust Histopathology Image Analysis: To Label or to Synthesize?,,,,,,Thursday,Oral 3.1A,08:35,Thursday,Poster 3.1,191,Le Hou, -611,BAD SLAM: Bundle Adjusted Direct RGB-D SLAM,,,,,,Tuesday,Oral 1.1B,09:05,Tuesday,Poster 1.1,73,Thomas Schops, -612,Learning Personalized Modular Network Guided by Structured Knowledge,,,,,,Thursday,Oral 3.1C,09:47,Thursday,Poster 3.1,68,Xiaodan Liang, -613,Embodied Question Answering in Photorealistic Environments With Point Cloud Perception,,,,,,Wednesday,Oral 2.2B,14:16,Wednesday,Poster 2.2,185,Erik Wijmans, -614,What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment,,,,,,Tuesday,Oral 1.1C,09:36,Tuesday,Poster 1.1,115,Paritosh Parmar, -615,A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images,,,,,,Wednesday,Oral 2.1B,09:42,Wednesday,Poster 2.1,118,Jiapeng Tang, -616,ContextDesc: Local Descriptor Augmentation With Cross-Modality Context,,,,,,Tuesday,Oral 1.2C,13:48,Tuesday,Poster 1.2,169,Zixin Luo, -617,Adaptive NMS: Refining Pedestrian Detection in a Crowd,,,,,,Wednesday,Oral 2.2A,14:06,Wednesday,Poster 2.2,31,Songtao Liu, -618,Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth,,,,,,Thursday,Oral 3.1C,08:40,Thursday,Poster 3.1,57,Davy Neven, -619,Inverse Path Tracing for Joint Material and Lighting Estimation,,,,,,Tuesday,Oral 1.2B,14:47,Tuesday,Poster 1.2,131,Dejan Azinovic, -620,Adversarial Attacks Beyond the Image Space,,,,,,Wednesday,Oral 2.1A,08:48,Wednesday,Poster 2.1,4,Xiaohui Zeng, -621,Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model,,,,,,Tuesday,Oral 1.1C,09:54,Tuesday,Poster 1.1,118,Weining Wang, -622,High-Quality Face Capture Using Anatomical Muscles,,,,,,Thursday,Oral 3.2B,13:30,Thursday,Poster 3.2,92,Michael Bao, -623,APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs,,,,,,Thursday,Oral 3.2A,14:42,Thursday,Poster 3.2,13,Ran Yi, -624,GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering,,,,,,Wednesday,Oral 2.2B,14:42,Wednesday,Poster 2.2,189,Drew A. Hudson, -625,Panoptic Feature Pyramid Networks,,,,,,Wednesday,Oral 2.2A,13:30,Wednesday,Poster 2.2,25,Alexander Kirillov, -626,Image Deformation Meta-Networks for One-Shot Learning,,,,,,Thursday,Oral 3.1B,08:35,Thursday,Poster 3.1,78,Zitian Chen, -627,Learning Loss for Active Learning,,,,,,Tuesday,Oral 1.1A,09:54,Tuesday,Poster 1.1,10,Donggeun Yoo, -628,Graph Convolutional Tracking,,,,,,Wednesday,Oral 2.1C,09:16,Wednesday,Poster 2.1,143,Junyu Gao, -629,Tell Me Where I Am: Object-Level Scene Context Prediction,,,,,,Tuesday,Oral 1.2C,14:52,Tuesday,Poster 1.2,180,Xiaotian Qiao, -630,Max-Sliced Wasserstein Distance and Its Use for GANs,,,,,,Thursday,Oral 3.2A,13:40,Thursday,Poster 3.2,3,Ishan Deshpande, -631,Composing Text and Image for Image Retrieval - an Empirical Odyssey,,,,,,Wednesday,Oral 2.2A,13:53,Wednesday,Poster 2.2,29,Nam Vo, -632,Residual Networks for Light Field Image Super-Resolution,,,,,,Thursday,Oral 3.2C,14:06,Thursday,Poster 3.2,153,Shuo Zhang, -633,Explainability Methods for Graph Convolutional Neural Networks,,,,,,Thursday,Oral 3.2A,15:00,Thursday,Poster 3.2,16,Phillip E. Pope, -634,Argoverse: 3D Tracking and Forecasting With Rich Maps,,,,,,Thursday,Oral 3.1B,09:16,Thursday,Poster 3.1,85,Ming-Fang Chang, -635,SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates,,,,,,Thursday,Oral 3.2A,15:10,Thursday,Poster 3.2,18,Martin Engilberge, -636,"""Double-DIP"": Unsupervised Image Decomposition via Coupled Deep-Image-Priors",,,,,,Thursday,Oral 3.2C,13:53,Thursday,Poster 3.2,151,Yosef Gandelsman, -637,Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval,,,,,,Tuesday,Oral 1.2A,13:53,Tuesday,Poster 1.2,22,Sounak Dey, -638,Cascaded Projection: End-To-End Network Compression and Acceleration,,,,,,Thursday,Oral 3.2A,14:24,Thursday,Poster 3.2,10,Breton Minnehan, -639,High Flux Passive Imaging With Single-Photon Sensors,,,,,,Wednesday,Oral 2.2C,13:35,Wednesday,Poster 2.2,131,Atul Ingle, -640,A Generative Adversarial Density Estimator,,,,,,Thursday,Oral 3.2A,15:05,Thursday,Poster 3.2,17,M. Ehsan Abbasnejad, -641,Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects,,,,,,Wednesday,Oral 2.2A,14:34,Wednesday,Poster 2.2,36,Yusuke Niitani, -642,Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising,,,,,,Wednesday,Oral 2.2C,14:34,Wednesday,Poster 2.2,141,Wei He, -643,Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering,,,,,,Wednesday,Oral 2.2B,14:06,Wednesday,Poster 2.2,183,Peng Gao, -644,Unsupervised Part-Based Disentangling of Object Shape and Appearance,,,,,,Thursday,Oral 3.2B,15:00,Thursday,Poster 3.2,107,Dominik Lorenz, -645,Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation,,,,,,Wednesday,Oral 2.2A,13:58,Wednesday,Poster 2.2,30,Xiaobing Wang, -646,CollaGAN: Collaborative GAN for Missing Image Data Imputation,,,,,,Tuesday,Oral 1.2B,15:10,Tuesday,Poster 1.2,135,Dongwook Lee, -647,Semantics Disentangling for Text-To-Image Generation,,,,,,Tuesday,Oral 1.2B,13:35,Tuesday,Poster 1.2,119,Guojun Yin, -648,Two Body Problem: Collaborative Visual Task Completion,,,https://prior.allenai.org/projects/two-body-problem,,,Wednesday,Oral 2.2B,14:34,Wednesday,Poster 2.2,188,Unnat Jain,"Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi" -649,3D Shape Reconstruction From Images in the Frequency Domain,,,,,,Wednesday,Oral 2.1B,08:58,Wednesday,Poster 2.1,111,Weichao Shen, -650,Fast Spatially-Varying Indoor Lighting Estimation,,,,,,Wednesday,Oral 2.2C,15:00,Wednesday,Poster 2.2,145,Mathieu Garon, -651,Steady-State Non-Line-Of-Sight Imaging,,,,,,Wednesday,Oral 2.2C,13:48,Wednesday,Poster 2.2,133,Wenzheng Chen, -652,SFNet: Learning Object-Aware Semantic Correspondence,,,,,,Tuesday,Oral 1.2A,14:52,Tuesday,Poster 1.2,32,Junghyup Lee, -653,Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping,,,,,,Tuesday,Oral 1.2B,14:34,Tuesday,Poster 1.2,129,Huan Fu, -654,Gradient Matching Generative Networks for Zero-Shot Learning,,,,,,Tuesday,Oral 1.2A,13:48,Tuesday,Poster 1.2,21,Mert Bulent Sariyildiz, -655,Finding Task-Relevant Features for Few-Shot Learning by Category Traversal,,,,,,Tuesday,Oral 1.1A,09:00,Tuesday,Poster 1.1,1,Hongyang Li, -656,Look Back and Predict Forward in Image Captioning,,,,,,,,,Wednesday,Poster 2.2,201,Yu Qin, -657,Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors,,,,,,,,,Thursday,Poster 3.1,26,Mohammad Mahdi Derakhshani, -658,Group Sampling for Scale Invariant Face Detection,,,,,,,,,Tuesday,Poster 1.2,97,Xiang Ming, -659,Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN,,,,,,,,,Tuesday,Poster 1.1,89,Shiyi Lan, -660,Domain-Specific Batch Normalization for Unsupervised Domain Adaptation,,,,,,,,,Wednesday,Poster 2.2,62,Woong-Gi Chang, -661,Radial Distortion Triangulation,,,,,,,,,Thursday,Poster 3.1,105,Zuzana Kukelova, -662,Polarimetric Camera Calibration Using an LCD Monitor,,,,,,,,,Tuesday,Poster 1.2,145,Zhixiang Wang, -663,Towards High-Fidelity Nonlinear 3D Face Morphable Model,,,,http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html?,,,,,Tuesday,Poster 1.1,102,Luan Tran,"Luan Tran, Feng Liu, Xiaoming Liu" -664,Towards Instance-Level Image-To-Image Translation,,,,,,,,,Tuesday,Poster 1.2,139,Zhiqiang Shen, -665,Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching,,,,,,,,,Wednesday,Poster 2.1,162,Yu Zhang, -666,Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks,,,,,,,,,Wednesday,Poster 2.2,59,N. Dinesh Reddy, -667,Semantic Projection Network for Zero- and Few-Label Semantic Segmentation,,,,,,,,,Wednesday,Poster 2.2,172,Yongqin Xian, -668,Co-Occurrence Neural Network,,,,,,,,,Wednesday,Poster 2.1,24,Irina Shevlev, -669,Learning to Film From Professional Human Motion Videos,,,,,,,,,Tuesday,Poster 1.2,214,Chong Huang, -670,Stochastic Class-Based Hard Example Mining for Deep Metric Learning,,,,,,,,,Wednesday,Poster 2.2,51,Yumin Suh, -671,Modularized Textual Grounding for Counterfactual Resilience,,,,,,,,,Wednesday,Poster 2.1,215,Zhiyuan Fang, -672,Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis,,,,,,,,,Thursday,Poster 3.2,116,Yu Yu, -673,Global Second-Order Pooling Convolutional Networks,,,,,,,,,Tuesday,Poster 1.2,55,Zilin Gao, -674,Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation,,,,,,,,,Tuesday,Poster 1.1,18,Bohan Zhuang, -675,Revisiting Perspective Information for Efficient Crowd Counting,,,,,,,,,Wednesday,Poster 2.2,54,Miaojing Shi, -676,Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager,,,,,,,,,Thursday,Poster 3.2,143,Yuanyuan Zhao, -677,Joint Face Detection and Facial Motion Retargeting for Multiple Faces,,,,,,,,,Thursday,Poster 3.1,109,Bindita Chaudhuri, -678,Character Region Awareness for Text Detection,,,,,,,,,Thursday,Poster 3.1,43,Youngmin Baek, -679,Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras,,,,,,,,,Thursday,Poster 3.2,80,Thiago L. T. da Silveira, -680,R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network,,,,,,,,,Thursday,Poster 3.2,51,Bin Zhu, -681,Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance,,,,,,,,,Wednesday,Poster 2.1,89,Nanyang Ye, -682,Local Detection of Stereo Occlusion Boundaries,,,,,,,,,Tuesday,Poster 1.2,153,Jialiang Wang, -683,Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification,,,,,,,,,Wednesday,Poster 2.1,36,Yiru Zhao, -684,NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection,,,,,,,,,Wednesday,Poster 2.2,11,Golnaz Ghiasi, -685,Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection,,,,,,,,,Thursday,Poster 3.2,114,Xuesong Niu, -686,SimulCap : Single-View Human Performance Capture With Cloth Simulation,,,,,,,,,Wednesday,Poster 2.1,96,Tao Yu, -687,Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture,,,,,,,,,Thursday,Poster 3.2,139,Ning Yu, -688,Convolutional Relational Machine for Group Activity Recognition,,,,,,,,,Wednesday,Poster 2.2,117,Sina Mokhtarzadeh Azar, -689,Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery,,,,,,,,,Thursday,Poster 3.1,212,Ries Uittenbogaard, -690,PMS-Net: Robust Haze Removal Based on Patch Map for Single Images,,,,,,,,,Thursday,Poster 3.2,72,Wei-Ting Chen, -691,CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency,,,,,,,,,Tuesday,Poster 1.1,181,Yun-Chun Chen, -692,Focus Is All You Need: Loss Functions for Event-Based Vision,,,,,,,,,Thursday,Poster 3.2,169,Guillermo Gallego, -693,TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions,,,,,,,,,Wednesday,Poster 2.2,213,Rohan Chandra, -694,Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks,,,,,,,,,Tuesday,Poster 1.1,198,Peng Wang, -695,Attention-Guided Network for Ghost-Free High Dynamic Range Imaging,,,,,,,,,Tuesday,Poster 1.1,177,Qingsen Yan, -696,Grounding Human-To-Vehicle Advice for Self-Driving Vehicles,,,,,,,,,Thursday,Poster 3.1,213,Jinkyu Kim, -697,Divergence Prior and Vessel-Tree Reconstruction,,,,,,,,,Thursday,Poster 3.1,160,Zhongwen Zhang, -698,Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions,,,,,,,,,Wednesday,Poster 2.2,210,Joey Hong, -699,TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning,,,,,,,,,Thursday,Poster 3.1,3,Matthew Amodio, -700,IRLAS: Inverse Reinforcement Learning for Architecture Search,,,,,,,,,Thursday,Poster 3.1,7,Minghao Guo, -701,Scene Categorization From Contours: Medial Axis Based Salience Measures,,,,,,,,,Tuesday,Poster 1.2,201,Morteza Rezanejad, -702,Single Image Depth Estimation Trained via Depth From Defocus Cues,,,,,,,,,Wednesday,Poster 2.2,96,Shir Gur, -703,MBS: Macroblock Scaling for CNN Model Reduction,,,,,,,,,Thursday,Poster 3.1,17,Yu-Hsun Lin, -704,Deep Asymmetric Metric Learning via Rich Relationship Mining,,,,,,,,,Tuesday,Poster 1.2,197,Xinyi Xu, -705,GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud,,,,,,,,,Tuesday,Poster 1.2,184,Li Yi, -706,Engaging Image Captioning via Personality,,,,,,,,,Thursday,Poster 3.2,193,Kurt Shuster, -707,Quasi-Unsupervised Color Constancy,,,,,,,,,Thursday,Poster 3.2,144,Simone Bianco, -708,Typography With Decor: Intelligent Text Style Transfer,,,,,,,,,Wednesday,Poster 2.1,165,Wenjing Wang, -709,Convolutional Neural Networks Can Be Deceived by Visual Illusions,,,,,,,,,Thursday,Poster 3.2,172,Alexander Gomez-Villa, -710,Label Propagation for Deep Semi-Supervised Learning,,,,,,,,,Wednesday,Poster 2.1,52,Ahmet Iscen, -711,Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring,,,,,,,,,Wednesday,Poster 2.2,156,Seungjun Nah, -712,Deep Flow-Guided Video Inpainting,,,,,,,,,Tuesday,Poster 1.2,143,Rui Xu, -713,End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image,,,,,,,,,Tuesday,Poster 1.1,142,Seonghyeon Nam, -714,Face Parsing With RoI Tanh-Warping,,,,,,,,,Wednesday,Poster 2.1,126,Jinpeng Lin, -715,Dichromatic Model Based Temporal Color Constancy for AC Light Sources,,,,,,,,,Thursday,Poster 3.2,174,Jun-Sang Yoo, -716,Snapshot Distillation: Teacher-Student Optimization in One Generation,,,,,,,,,Tuesday,Poster 1.2,38,Chenglin Yang, -717,Large Scale Incremental Learning,,,,,,,,,Tuesday,Poster 1.1,14,Yue Wu, -718,Variational Autoencoders Pursue PCA Directions (by Accident),,,,,,,,,Thursday,Poster 3.2,182,Michal Rolinek, -719,SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images,,,,,,,,,Thursday,Poster 3.1,24,Yeonkun Lee, -720,Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition,,,,,,,,,Tuesday,Poster 1.2,86,Lin Xu, -721,EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors,,,,,,,,,Wednesday,Poster 2.1,213,Yanxiang Wang, -722,Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition,,,,,,,,,Tuesday,Poster 1.1,207,Zizhao Zhang, -723,Cross-Modal Self-Attention Network for Referring Image Segmentation,,,,,,,,,Thursday,Poster 3.1,189,Linwei Ye, -724,Residual Regression With Semantic Prior for Crowd Counting,,,,,,,,,Tuesday,Poster 1.2,193,Jia Wan, -725,LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving,,,,,,,,,Thursday,Poster 3.2,209,Gregory P. Meyer, -726,VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points,,,,,,,,,Thursday,Poster 3.1,101,Masashi Yokozuka, -727,Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning,,,,,,,,,Thursday,Poster 3.2,79,Mahdi S. Hosseini, -728,ROI Pooled Correlation Filters for Visual Tracking,,,,,,,,,Wednesday,Poster 2.1,154,Yuxuan Sun, -729,Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation,,,,,,,,,Tuesday,Poster 1.2,3,Chunlei Liu, -730,Attention-Guided Unified Network for Panoptic Segmentation,,,https://mp.weixin.qq.com/s/1tohID6SM3weS476XU5okw?,,,,,,Wednesday,Poster 2.2,10,Yanwei Li,"Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang" -731,Intention Oriented Image Captions With Guiding Objects,,,,,,,,,Wednesday,Poster 2.2,204,Yue Zheng, -732,Weakly Supervised Video Moment Retrieval From Text Queries,,,,,,,,,Thursday,Poster 3.2,63,Niluthpol Chowdhury Mithun, -733,Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features,,,,,,,,,Thursday,Poster 3.1,44,Vlad Hosu, -734,AANet: Attribute Attention Network for Person Re-Identifications,,,,,,,,,Wednesday,Poster 2.2,21,Chiat-Pin Tay, -735,Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition,,,,,,,,,Tuesday,Poster 1.1,41,Xiaofeng Liu, -736,Interaction-And-Aggregation Network for Person Re-Identification,,,,,,,,,Thursday,Poster 3.1,38,Ruibing Hou, -737,Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach,,,,,,,,,Tuesday,Poster 1.2,90,Amir Atapour-Abarghouei, -738,Photo Wake-Up: 3D Character Animation From a Single Photo,,,,,,,,,Wednesday,Poster 2.1,167,Chung-Yi Weng, -739,Adversarial Defense by Stratified Convolutional Sparse Coding,,,,,,,,,Thursday,Poster 3.2,48,Bo Sun, -740,Customizable Architecture Search for Semantic Segmentation,,,,,,,,,Thursday,Poster 3.2,68,Yiheng Zhang, -741,Neuro-Inspired Eye Tracking With Eye Movement Dynamics,,,,,,,,,Thursday,Poster 3.1,120,Kang Wang, -742,On Learning Density Aware Embeddings,,,,,,,,,Wednesday,Poster 2.1,33,Soumyadeep Ghosh, -743,Accelerating Convolutional Neural Networks via Activation Map Compression,,,,,,,,,Wednesday,Poster 2.2,16,Georgios Georgiadis, -744,Characterizing and Avoiding Negative Transfer,,,,,,,,,Thursday,Poster 3.2,32,Zirui Wang, -745,Weakly Supervised Image Classification Through Noise Regularization,,,,,,,,,Thursday,Poster 3.2,55,Mengying Hu, -746,Attentive Feedback Network for Boundary-Aware Salient Object Detection,,,,,,,,,Tuesday,Poster 1.1,164,Mengyang Feng, -747,You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection,,,,,,,,,Thursday,Poster 3.1,48,Krishna Kumar Singh, -748,On Implicit Filter Level Sparsity in Convolutional Neural Networks,,,,,,,,,Tuesday,Poster 1.1,29,Dushyant Mehta, -749,T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor,,,,,,,,,Wednesday,Poster 2.2,110,Jean Kossaifi, -750,Learning Binary Code for Personalized Fashion Recommendation,,,,,,,,,Thursday,Poster 3.1,210,Zhi Lu, -751,Hyperspectral Image Super-Resolution With Optimized RGB Guidance,,,,,,,,,Thursday,Poster 3.2,70,Ying Fu, -752,Learning Active Contour Models for Medical Image Segmentation,,,,,,,,,Thursday,Poster 3.2,67,Xu Chen, -753,Graph Attention Convolution for Point Cloud Semantic Segmentation,,,,,,,,,Thursday,Poster 3.1,168,Lei Wang, -754,Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation,,,,,,,,,Thursday,Poster 3.2,136,Artur Grigorev, -755,Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View,,,,,,,,,Wednesday,Poster 2.1,27,Jiayang Liu, -756,A Parametric Top-View Representation of Complex Road Scenes,,,,,,,,,Thursday,Poster 3.1,171,Ziyan Wang, -757,Unsupervised Learning of Consensus Maximization for 3D Vision Problems,,,,,,,,,Tuesday,Poster 1.1,70,Thomas Probst, -758,LVIS: A Dataset for Large Vocabulary Instance Segmentation,,,,,,,,,Wednesday,Poster 2.1,81,Agrim Gupta, -759,Triangulation Learning Network: From Monocular to Stereo 3D Object Detection,,,,,,,,,Wednesday,Poster 2.2,89,Zengyi Qin, -760,Audio Visual Scene-Aware Dialog,,,,,,,,,Wednesday,Poster 2.2,83,Huda Alamri, -761,Graph-Based Global Reasoning Networks,,,,,,,,,Tuesday,Poster 1.1,20,Yunpeng Chen, -762,Adversarial Structure Matching for Structured Prediction Tasks,,,,,,,,,Tuesday,Poster 1.2,195,Jyh-Jing Hwang, -763,"Face Anti-Spoofing: Model Matters, so Does Data",,,,,,,,,Tuesday,Poster 1.2,103,Xiao Yang, -764,Unsupervised Domain-Specific Deblurring via Disentangled Representations,,,,,,,,,Thursday,Poster 3.1,161,Boyu Lu, -765,Propagation Mechanism for Deep and Wide Neural Networks,,,,,,,,,Thursday,Poster 3.1,28,Dejiang Xu, -766,MirrorGAN: Learning Text-To-Image Generation by Redescription,,,,,,,,,Tuesday,Poster 1.1,152,Tingting Qiao,"Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao" -767,What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions,,,,,,,,,Tuesday,Poster 1.2,205,Ehsan Abbasnejad, -768,Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering,,,,,,,,,Tuesday,Poster 1.1,96,Seungryul Baek, -769,Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing,,,,,,,,,Tuesday,Poster 1.1,197,Xihui Liu, -770,ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness,,,,,,,,,Wednesday,Poster 2.2,6,Rajkumar Theagarajan, -771,Semi-Supervised Transfer Learning for Image Rain Removal,,,,,,,,,Tuesday,Poster 1.2,159,Wei Wei, -772,Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering,,,,,,,,,Wednesday,Poster 2.2,163,Jari Korhonen, -773,Layout-Graph Reasoning for Fashion Landmark Detection,,,,,,,,,Tuesday,Poster 1.2,46,Weijiang Yu, -774,RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices,,,,,,,,,Wednesday,Poster 2.2,58,Chong Peng, -775,Using Unknown Occluders to Recover Hidden Scenes,,,,,,,,,Thursday,Poster 3.2,146,Adam B. Yedidia, -776,Learning Unsupervised Video Object Segmentation Through Visual Attention,,,,,,,,,Tuesday,Poster 1.2,59,Wenguan Wang, -777,Turn a Silicon Camera Into an InGaAs Camera,,,,,,,,,Wednesday,Poster 2.1,175,Feifan Lv, -778,Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering,,,,,,,,,Thursday,Poster 3.1,52,Chen Zhang, -779,D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation,,,,,,,,,Tuesday,Poster 1.2,107,Chien-Yi Chang, -780,Learning Channel-Wise Interactions for Binary Convolutional Neural Networks,,,,,,,,,Tuesday,Poster 1.1,34,Ziwei Wang, -781,Deep Multimodal Clustering for Unsupervised Audiovisual Learning,,,,,,,,,Thursday,Poster 3.1,31,Di Hu, -782,Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting,,,,,,,,,Thursday,Poster 3.2,215,Muming Zhao, -783,AdaFrame: Adaptive Frame Selection for Fast Video Recognition,,,,,,,,,Tuesday,Poster 1.1,129,Zuxuan Wu, -784,World From Blur,,,,,,,,,Wednesday,Poster 2.2,214,Jiayan Qiu, -785,EventNet: Asynchronous Recursive Event Processing,,,,,,,,,Tuesday,Poster 1.2,160,Yusuke Sekikawa, -786,Towards Accurate One-Stage Object Detection With AP-Loss,,,,,,,,,Wednesday,Poster 2.1,57,Kean Chen, -787,Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization,,,,,,,,,Tuesday,Poster 1.1,131,Daochang Liu, -788,Progressive Feature Alignment for Unsupervised Domain Adaptation,,,,,,,,,Tuesday,Poster 1.1,40,Chaoqi Chen, -789,Domain-Symmetric Networks for Adversarial Domain Adaptation,,,,,,,,,Wednesday,Poster 2.1,48,Yabin Zhang, -790,Multi-Granularity Generator for Temporal Action Proposal,,,,,,,,,Tuesday,Poster 1.2,113,Yuan Liu, -791,Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks,,,,,,,,,Thursday,Poster 3.1,15,Jorg Wagner, -792,Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up,,,,,,,,,Tuesday,Poster 1.2,56,Weifeng Ge, -793,Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning,,,,,,,,,Thursday,Poster 3.2,50,Bin Tong, -794,Classification-Reconstruction Learning for Open-Set Recognition,,,,,,,,,Tuesday,Poster 1.2,191,Ryota Yoshihashi, -795,A Variational Pan-Sharpening With Local Gradient Constraints,,,,,,,,,Thursday,Poster 3.1,165,Xueyang Fu, -796,Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors,,,,,,,,,Wednesday,Poster 2.1,157,Yedid Hoshen, -797,An End-To-End Network for Panoptic Segmentation,,,,,,,,,Wednesday,Poster 2.1,194,Huanyu Liu, -798,ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images,,,,,,,,,Wednesday,Poster 2.1,214,Zhiming Cui, -799,Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network,,,,,,,,,Thursday,Poster 3.1,174,Xianglei Xing, -800,A Variational Auto-Encoder Model for Stochastic Point Processes,,,,,,,,,Tuesday,Poster 1.2,69,Nazanin Mehrasa, -801,Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation,,,,,,,,,Tuesday,Poster 1.1,47,Yunhang Shen, -802,RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection,,,,,,,,,Wednesday,Poster 2.1,65,Leonid Karlinsky, -803,Deep ChArUco: Dark ChArUco Marker Pose Estimation,,,,,,,,,Wednesday,Poster 2.2,208,Danying Hu, -804,Learning-Based Sampling for Natural Image Matting,,,,,,,,,Tuesday,Poster 1.2,58,Jingwei Tang, -805,Actively Seeking and Learning From Live Data,,,,,,,,,Tuesday,Poster 1.1,196,Damien Teney, -806,Depth Coefficients for Depth Completion,,,,,,,,,Thursday,Poster 3.2,186,Saif Imran, -807,PDE Acceleration for Active Contours,,,,,,,,,Thursday,Poster 3.2,173,Anthony Yezzi, -808,On the Intrinsic Dimensionality of Image Representations,,,,,,,,,Tuesday,Poster 1.2,188,Sixue Gong, -809,PA3D: Pose-Action 3D Machine for Video Recognition,,,,,,,,,Wednesday,Poster 2.2,120,An Yan, -810,UniformFace: Learning Deep Equidistributed Representation for Face Recognition,,,,,,,,,Tuesday,Poster 1.2,94,Yueqi Duan, -811,Direct Object Recognition Without Line-Of-Sight Using Optical Coherence,,,,,,,,,Thursday,Poster 3.2,78,Xin Lei, -812,Deep Dual Relation Modeling for Egocentric Interaction Recognition,,,,,,,,,Wednesday,Poster 2.2,121,Haoxin Li, -813,Learning Independent Object Motion From Unlabelled Stereoscopic Videos,,,,,,,,,Wednesday,Poster 2.1,105,Zhe Cao, -814,Spectral Metric for Dataset Complexity Assessment,,,,,,,,,Tuesday,Poster 1.2,74,Frederic Branchaud-Charron, -815,Progressive Ensemble Networks for Zero-Shot Recognition,,,,,,,,,Thursday,Poster 3.2,77,Meng Ye, -816,Frame-Consistent Recurrent Video Deraining With Dual-Level Flow,,,,,,,,,Tuesday,Poster 1.1,168,Wenhan Yang, -817,Grid R-CNN,,,,,,,,,Wednesday,Poster 2.2,63,Xin Lu, -818,Spatial-Aware Graph Relation Network for Large-Scale Object Detection,,,,,,,,,Thursday,Poster 3.1,36,Hang Xu, -819,3DN: 3D Deformation Network,,,,,,,,,Tuesday,Poster 1.1,93,Weiyue Wang, -820,Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics,,,,,,,,,Wednesday,Poster 2.2,207,Yaron Meirovitch, -821,ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model,,,,,,,,,Thursday,Poster 3.2,23,Haichuan Yang, -822,Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces,,,,,,,,,Wednesday,Poster 2.1,153,Guodong Mu, -823,MSCap: Multi-Style Image Captioning With Unpaired Stylized Text,,,,,,,,,Tuesday,Poster 1.2,210,Longteng Guo, -824,On Stabilizing Generative Adversarial Training With Noise,,,,,,,,,Thursday,Poster 3.2,137,Simon Jenni, -825,DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition,,,,,,,,,Wednesday,Poster 2.2,113,Toby Perrett, -826,Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration,,,,,,,,,Wednesday,Poster 2.1,85,Shuhan Tan, -827,MARS: Motion-Augmented RGB Stream for Action Recognition,,,,,,,,,Wednesday,Poster 2.2,116,Nieves Crasto, -828,Less Is More: Learning Highlight Detection From Video Duration,,,,,,,,,Tuesday,Poster 1.1,127,Bo Xiong, -829,3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis,,,,,,,,,Wednesday,Poster 2.2,95,Xiaojuan Qi, -830,Distraction-Aware Shadow Detection,,,,,,,,,Wednesday,Poster 2.1,62,Quanlong Zheng, -831,Unifying Heterogeneous Classifiers With Distillation,,,,,,,,,Tuesday,Poster 1.2,70,Jayakorn Vongkulbhisal, -832,Self-Supervised Representation Learning by Rotation Feature Decoupling,,,,,,,,,Thursday,Poster 3.1,175,Zeyu Feng, -833,Compressing Convolutional Neural Networks via Factorized Convolutional Filters,,,,,,,,,Tuesday,Poster 1.2,187,Tuanhui Li, -834,Discovering Fair Representations in the Data Domain,,,,,,,,,Wednesday,Poster 2.2,169,Novi Quadrianto, -835,"Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation",,,,,,,,,Tuesday,Poster 1.2,200,Zhenyu Zhang, -836,Speech2Face: Learning the Face Behind a Voice,,,,,,,,,Wednesday,Poster 2.2,81,Tae-Hyun Oh, -837,Informative Object Annotations: Tell Me Something I Don't Know,,,,,,,,,Thursday,Poster 3.2,192,Lior Bracha, -838,DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis,,,,,,,,,Wednesday,Poster 2.1,156,Minfeng Zhu, -839,Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild,,,,,,,,,Tuesday,Poster 1.2,1,Luan Tran, -840,3D Local Features for Direct Pairwise Registration,,,,,,,,,Tuesday,Poster 1.2,77,Haowen Deng, -841,Unsupervised Primitive Discovery for Improved 3D Generative Modeling,,,,,,,,,Thursday,Poster 3.1,111,Salman H. Khan, -842,Learning to Minify Photometric Stereo,,,,,,,,,Wednesday,Poster 2.2,84,Junxuan Li, -843,Learning to Calibrate Straight Lines for Fisheye Image Rectification,,,,,,,,,Tuesday,Poster 1.1,166,Zhucun Xue, -844,Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net,,,,,,,,,Tuesday,Poster 1.1,160,Qi Xie, -845,Explore-Exploit Graph Traversal for Image Retrieval,,,,,,,,,Thursday,Poster 3.1,49,Cheng Chang, -846,Selective Sensor Fusion for Neural Visual-Inertial Odometry,,,,,,,,,Thursday,Poster 3.1,208,Changhao Chen, -847,SpotTune: Transfer Learning Through Adaptive Fine-Tuning,,,,,,,,,Wednesday,Poster 2.1,25,Yunhui Guo, -848,Learning a Deep ConvNet for Multi-Label Classification With Partial Labels,,,,,,,,,Tuesday,Poster 1.1,42,Thibaut Durand, -849,Visual Question Answering as Reading Comprehension,,,,,,,,,Wednesday,Poster 2.1,209,Hui Li, -850,Densely Semantically Aligned Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,44,Zhizheng Zhang, -851,Distilled Person Re-Identification: Towards a More Scalable System,,,,,,,,,Tuesday,Poster 1.1,108,Ancong Wu, -852,Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras,,,,,,,,,Thursday,Poster 3.1,163,Jacques Manderscheid, -853,EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch,,,,,,,,,Thursday,Poster 3.1,11,Jian Ren, -854,Weakly Supervised Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,53,Jingke Meng, -855,Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views,,,,,,,,,Thursday,Poster 3.2,212,Kun Huang, -856,How to Make a Pizza: Learning a Compositional Layer-Based GAN Model,,,,,,,,,Wednesday,Poster 2.2,128,Dim P. Papadopoulos, -857,Few-Shot Learning via Saliency-Guided Hallucination of Samples,,,,,,,,,Tuesday,Poster 1.2,11,Hongguang Zhang, -858,Triply Supervised Decoder Networks for Joint Detection and Segmentation,,,,,,,,,Wednesday,Poster 2.2,66,Jiale Cao, -859,OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge,,,,,,,,,Tuesday,Poster 1.2,72,Kenneth Marino, -860,Dynamic Recursive Neural Network,,,,,,,,,Wednesday,Poster 2.1,60,Qiushan Guo, -861,Fully Learnable Group Convolution for Acceleration of Deep Neural Networks,,,,,,,,,Thursday,Poster 3.1,10,Xijun Wang, -862,Sea-Thru: A Method for Removing Water From Underwater Images,,,,,,,,,Tuesday,Poster 1.1,170,Derya Akkaynak, -863,Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack,,,,,,,,,Tuesday,Poster 1.1,36,Zhezhi He, -864,CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning,,,,,,,,,Wednesday,Poster 2.1,67,Chi Zhang, -865,The Domain Transform Solver,,,,,,,,,Wednesday,Poster 2.1,178,Akash Bapat, -866,A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes,,,,,,,,,Thursday,Poster 3.2,183,Lichao Mou, -867,Attending to Discriminative Certainty for Domain Adaptation,,,,,,,,,Tuesday,Poster 1.1,26,Vinod Kumar Kurmi, -868,X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks,,,,,,,,,Thursday,Poster 3.1,216,Xingde Ying, -869,SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations,,,,,,,,,Thursday,Poster 3.2,82,Shuaifeng Zhi, -870,Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation,,,,,,,,,Thursday,Poster 3.2,47,Zhezhi He, -871,A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition,,,,,,,,,Thursday,Poster 3.2,126,Xuan Son Nguyen, -872,Hybrid Scene Compression for Visual Localization,,,,,,,,,Wednesday,Poster 2.2,93,Federico Camposeco, -873,Face-Focused Cross-Stream Network for Deception Detection in Videos,,,,,,,,,Wednesday,Poster 2.2,108,Mingyu Ding, -874,SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization,,,,,,,,,Thursday,Poster 3.2,24,Shijie Cao, -875,Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks,,,,,,,,,Thursday,Poster 3.2,31,Seungjoo Yoo, -876,Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning,,,,,,,,,Wednesday,Poster 2.2,71,Loic Landrieu, -877,Biologically-Constrained Graphs for Global Connectomics Reconstruction,,,,,,,,,Tuesday,Poster 1.1,211,Brian Matejek, -878,Learning Image and Video Compression Through Spatial-Temporal Energy Compaction,,,,,,,,,Thursday,Poster 3.1,145,Zhengxue Cheng, -879,A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring,,,,,,,,,Thursday,Poster 3.1,155,Liuge Yang, -880,SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines,,,,,,,,,Tuesday,Poster 1.2,63,Yuan-Ting Hu, -881,Skeleton-Based Action Recognition With Directed Graph Neural Networks,,,,,,,,,Wednesday,Poster 2.2,119,Lei Shi, -882,SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking,,,,,,,,,Tuesday,Poster 1.2,117,Guangting Wang, -883,Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging,,,,,,,,,Tuesday,Poster 1.1,156,Chia-Yin Tsai, -884,What Do Single-View 3D Reconstruction Networks Learn?,,,,,,,,,Tuesday,Poster 1.2,93,Maxim Tatarchenko, -885,Collaborative Spatiotemporal Feature Learning for Video Action Recognition,,,,,,,,,Wednesday,Poster 2.2,115,Chao Li, -886,Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms,,,,,,,,,Wednesday,Poster 2.1,176,Canyi Lu, -887,Kernel Transformer Networks for Compact Spherical Convolution,,,,,,,,,Thursday,Poster 3.1,51,Yu-Chuan Su, -888,Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface,,,,,,,,,Wednesday,Poster 2.1,191,Shiwei Li, -889,DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality,,,,,,,,,Wednesday,Poster 2.1,168,Chloe LeGendre, -890,Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks,,,,,,,,,Thursday,Poster 3.2,110,Yunfan Liu, -891,"Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map",,,,,,,,,Wednesday,Poster 2.2,65,Janine Thoma, -892,Interactive Full Image Segmentation by Considering All Regions Jointly,,,,,,,,,Thursday,Poster 3.2,66,Eirikur Agustsson, -893,A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning,,,,,,,,,Thursday,Poster 3.1,179,Thanh-Toan Do, -894,Answer Them All! Toward Universal Visual Question Answering Models,,,,,,,,,Thursday,Poster 3.1,186,Robik Shrestha, -895,Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections,,,,,,,,,Tuesday,Poster 1.2,156,Hongyun Gao, -896,Rethinking the Evaluation of Video Summaries,,,,,,,,,Wednesday,Poster 2.2,87,Mayu Otani, -897,R3 Adversarial Network for Cross Model Face Recognition,,,,,,,,,Thursday,Poster 3.1,124,Ken Chen, -898,Deep Global Generalized Gaussian Networks,,,,,,,,,Wednesday,Poster 2.1,53,Qilong Wang, -899,Toward Realistic Image Compositing With Adversarial Learning,,,,,,,,,Wednesday,Poster 2.2,206,Bor-Chun Chen, -900,Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information,,,,,,,,,Wednesday,Poster 2.1,128,Kai Su, -901,"See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks",,,,,,,,,Tuesday,Poster 1.2,115,Xiankai Lu, -902,Exploiting Edge Features for Graph Neural Networks,,,,,,,,,Thursday,Poster 3.1,27,Liyu Gong, -903,Versatile Multiple Choice Learning and Its Application to Vision Computing,,,,,,,,,Wednesday,Poster 2.1,212,Kai Tian, -904,Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion,,,,,,,,,Wednesday,Poster 2.1,80,Suryansh Kumar, -905,Semi-Supervised Learning With Graph Learning-Convolutional Networks,,,,,,,,,Thursday,Poster 3.2,34,Bo Jiang, -906,Scene Graph Generation With External Knowledge and Image Reconstruction,,,,,,,,,Tuesday,Poster 1.1,199,Jiuxiang Gu, -907,Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data,,,,,,,,,Thursday,Poster 3.2,214,Caleb Robinson, -908,Re-Identification With Consistent Attentive Siamese Networks,,,,,,,,,Wednesday,Poster 2.1,134,Meng Zheng, -909,You Look Twice: GaterNet for Dynamic Filter Selection in CNNs,,,,,,,,,Thursday,Poster 3.1,23,Zhourong Chen, -910,Understanding the Limitations of CNN-Based Absolute Camera Pose Regression,,,,,,,,,Tuesday,Poster 1.2,83,Torsten Sattler, -911,GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation,,,,,,,,,Wednesday,Poster 2.2,173,Xinhong Ma, -912,"Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks",,,,,,,,,Thursday,Poster 3.1,29,Chih-Hui Ho, -913,OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations,,,https://mp.weixin.qq.com/s/FXKWP4OlUsprSDgU7ue8CA?,,,,,,Tuesday,Poster 1.2,42,Pramuditha Perera,"Pramuditha Perera, Ramesh Nallapati, Bing Xiang" -914,Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization,,,,,,,,,Tuesday,Poster 1.1,123,Chenchen Liu, -915,Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition,,,,,,,,,Wednesday,Poster 2.2,99,Yinpeng Dong, -916,Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring,,,,,,,,,Wednesday,Poster 2.1,174,Hongguang Zhang, -917,Networks for Joint Affine and Non-Parametric Image Registration,,,,,,,,,Tuesday,Poster 1.2,212,Zhengyang Shen, -918,Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,51,Song Bai, -919,FOCNet: A Fractional Optimal Control Network for Image Denoising,,,,,,,,,Wednesday,Poster 2.1,182,Xixi Jia, -920,RegularFace: Deep Face Recognition via Exclusive Regularization,,,,,,,,,Tuesday,Poster 1.1,103,Kai Zhao, -921,Iterative Alignment Network for Continuous Sign Language Recognition,,,,,,,,,Tuesday,Poster 1.2,206,Junfu Pu, -922,A Neurobiological Evaluation Metric for Neural Network Model Search,,,,,,,,,Wednesday,Poster 2.1,86,Nathaniel Blanchard, -923,Reflective and Fluorescent Separation Under Narrow-Band Illumination,,,,,,,,,Wednesday,Poster 2.2,85,Koji Koyamatsu, -924,Text Guided Person Image Synthesis,,,,,,,,,Tuesday,Poster 1.2,137,Xingran Zhou, -925,An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection,,,,,,,,,Wednesday,Poster 2.1,173,Wenguan Wang, -926,Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs,,,,,,,,,Wednesday,Poster 2.2,176,Qi Zhang, -927,Adaptive Pyramid Context Network for Semantic Segmentation,,,,,,,,,Wednesday,Poster 2.2,79,Junjun He, -928,Blind Geometric Distortion Correction on Images Through Deep Learning,,,,,,,,,Wednesday,Poster 2.1,30,Xiaoyu Li, -929,Listen to the Image,,,,,,,,,Wednesday,Poster 2.2,125,Di Hu, -930,Relational Knowledge Distillation,,,,,,,,,Tuesday,Poster 1.2,186,Wonpyo Park, -931,An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM,,,,,,,,,Thursday,Poster 3.2,133,Patrick Geneva, -932,Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention,,,,,,,,,Tuesday,Poster 1.2,215,Pooya Abolghasemi, -933,Scalable Convolutional Neural Network for Image Compressed Sensing,,,,,,,,,Thursday,Poster 3.2,170,Wuzhen Shi, -934,TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection,,,,,,,,,Thursday,Poster 3.2,121,Lin Song, -935,Memory-Attended Recurrent Network for Video Captioning,,,,,,,,,Wednesday,Poster 2.2,199,Wenjie Pei, -936,UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos,,,,,,,,,Wednesday,Poster 2.2,153,Yang Wang, -937,Object Discovery in Videos as Foreground Motion Clustering,,,,,,,,,Thursday,Poster 3.1,137,Christopher Xie, -938,Deep Supervised Cross-Modal Retrieval,,,,,,,,,Thursday,Poster 3.1,178,Liangli Zhen, -939,Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,39,Zhixiang Wang, -940,"Robustness via Curvature Regularization, and Vice Versa",,,,,,,,,Thursday,Poster 3.1,13,Seyed-Mohsen Moosavi-Dezfooli, -941,Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks,,,,,,,,,Tuesday,Poster 1.1,149,Minyoung Huh, -942,Learning to Explore Intrinsic Saliency for Stereoscopic Video,,,,,,,,,Thursday,Poster 3.1,112,Qiudan Zhang, -943,Ensemble Deep Manifold Similarity Learning Using Hard Proxies,,,,,,,,,Wednesday,Poster 2.2,56,Nicolas Aziere, -944,Hyperspectral Imaging With Random Printed Mask,,,,,,,,,Thursday,Poster 3.1,153,Yuanyuan Zhao, -945,Knowledge Distillation via Instance Relationship Graph,,,,,,,,,Wednesday,Poster 2.2,17,Yufan Liu, -946,Convolutional Recurrent Network for Road Boundary Extraction,,,,,,,,,Thursday,Poster 3.1,73,Justin Liang, -947,ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving,,,,,,,,,Wednesday,Poster 2.1,91,Xibin Song, -948,LO-Net: Deep Real-Time Lidar Odometry,,,,,,,,,Wednesday,Poster 2.2,212,Qing Li, -949,Building Efficient Deep Neural Networks With Unitary Group Convolutions,,,,,,,,,Thursday,Poster 3.2,33,Ritchie Zhao, -950,Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes,,,,,,,,,Thursday,Poster 3.1,209,Chengquan Zhang, -951,BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network,,,,,,,,,Thursday,Poster 3.1,142,Hung-Jen Chen, -952,Learning Instance Activation Maps for Weakly Supervised Instance Segmentation,,,,,,,,,Tuesday,Poster 1.2,64,Yi Zhu, -953,Deep Embedding Learning With Discriminative Sampling Policy,,,,,,,,,Wednesday,Poster 2.1,41,Yueqi Duan, -954,Events-To-Video: Bringing Modern Computer Vision to Event Cameras,,,,,,,,,Tuesday,Poster 1.2,157,Henri Rebecq, -955,Improving Action Localization by Progressive Cross-Stream Cooperation,,,,,,,,,Thursday,Poster 3.2,124,Rui Su, -956,Disentangling Adversarial Robustness and Generalization,,,,,,,,,Wednesday,Poster 2.2,5,David Stutz, -957,Decorrelated Adversarial Learning for Age-Invariant Face Recognition,,,,,,,,,Tuesday,Poster 1.2,105,Hao Wang, -958,Neural Sequential Phrase Grounding (SeqGROUND),,,,,,,,,Tuesday,Poster 1.2,207,Pelin Dogan,"Pelin Dogan, Leonid Sigal, Markus Gross" -959,ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification,,,,,,,,,Tuesday,Poster 1.1,208,Fangneng Zhan, -960,Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,140,Wenjie Yang, -961,Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images,,,,,,,,,Tuesday,Poster 1.1,210,Yi Zhou, -962,Progressive Teacher-Student Learning for Early Action Prediction,,,,,,,,,Tuesday,Poster 1.2,108,Xionghui Wang, -963,Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning,,,,,,,,,Wednesday,Poster 2.1,104,Gianluca Agresti, -964,Enhanced Bayesian Compression via Deep Reinforcement Learning,,,,,,,,,Wednesday,Poster 2.2,2,Xin Yuan, -965,GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving,,,,,,,,,Tuesday,Poster 1.1,91,Buyu Li, -966,Generalizable Person Re-Identification by Domain-Invariant Mapping Network,,,,,,,,,Tuesday,Poster 1.1,49,Jifei Song, -967,Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks,,,,,,,,,Tuesday,Poster 1.2,5,Eunwoo Kim, -968,Learning to Learn Relation for Important People Detection in Still Images,,,,,,,,,Wednesday,Poster 2.1,45,Wei-Hong Li, -969,Thinking Outside the Pool: Active Training Image Creation for Relative Attributes,,,,,,,,,Tuesday,Poster 1.1,48,Aron Yu, -970,Metric Learning for Image Registration,,,,,,,,,Wednesday,Poster 2.2,211,Marc Niethammer, -971,Dissimilarity Coefficient Based Weakly Supervised Object Detection,,,,,,,,,Thursday,Poster 3.1,50,Aditya Arun, -972,Semantic Component Decomposition for Face Attribute Manipulation,,,,,,,,,Thursday,Poster 3.1,123,Ying-Cong Chen, -973,Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks,,,,,,,,,Wednesday,Poster 2.1,19,Hao Cheng, -974,Combinatorial Persistency Criteria for Multicut and Max-Cut,,,,,,,,,Wednesday,Poster 2.1,186,Jan-Hendrik Lange, -975,Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms,,,,,,,,,Thursday,Poster 3.2,199,Fandong Zhang, -976,Towards Robust Curve Text Detection With Conditional Spatial Expansion,,,,,,,,,Wednesday,Poster 2.2,53,Zichuan Liu, -977,Geometry-Aware Distillation for Indoor Semantic Segmentation,,,,,,,,,Tuesday,Poster 1.2,39,Jianbo Jiao, -978,TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation,,,,,,,,,Wednesday,Poster 2.2,129,Wayne Wu, -979,Deep Exemplar-Based Video Colorization,,,,,,,,,Wednesday,Poster 2.2,151,Bo Zhang, -980,RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion,,,,,,,,,Wednesday,Poster 2.2,97,Jie Li, -981,Progressive Attention Memory Network for Movie Story Question Answering,,,,,,,,,Wednesday,Poster 2.2,198,Junyeong Kim, -982,Semantic Attribute Matching Networks,,,,,,,,,Thursday,Poster 3.2,175,Seungryong Kim, -983,Conditional Adversarial Generative Flow for Controllable Image Synthesis,,,,,,,,,Wednesday,Poster 2.2,127,Rui Liu, -984,Task Agnostic Meta-Learning for Few-Shot Learning,,,,,,,,,Thursday,Poster 3.2,76,Muhammad Abdullah Jamal, -985,Deep Spectral Clustering Using Dual Autoencoder Network,,,,,,,,,Tuesday,Poster 1.2,196,Xu Yang, -986,AdaptiveFace: Adaptive Margin and Sampling for Face Recognition,,,,,,,,,Thursday,Poster 3.2,117,Hao Liu, -987,"What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?",,,,,,,,,Wednesday,Poster 2.1,20,Ciprian A. Corneanu, -988,Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation,,,,,,,,,Thursday,Poster 3.2,206,Feigege Wang, -989,Local Features and Visual Words Emerge in Activations,,,,,,,,,Thursday,Poster 3.2,69,Oriane Simeoni, -990,Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping,,,,,,,,,Thursday,Poster 3.2,184,Suhas Lohit, -991,Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination,,,,,,,,,Thursday,Poster 3.2,141,Liangzhe Yuan, -992,Adversarial Defense Through Network Profiling Based Path Extraction,,,,,,,,,Wednesday,Poster 2.1,22,Yuxian Qiu, -993,Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection,,,,,,,,,Tuesday,Poster 1.2,99,Zhiwei Liu, -994,Arbitrary Style Transfer With Style-Attentional Networks,,,,,,,,,Wednesday,Poster 2.1,164,Dae Young Park, -995,Learning a Unified Classifier Incrementally via Rebalancing,,,,,,,,,Tuesday,Poster 1.1,60,Saihui Hou, -996,Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks,,,,,,,,,Thursday,Poster 3.1,146,Lin Wang, -997,Single Image Reflection Removal Beyond Linearity,,,,,,,,,Tuesday,Poster 1.2,148,Qiang Wen, -998,Robustness Verification of Classification Deep Neural Networks via Linear Programming,,,,,,,,,Thursday,Poster 3.2,45,Wang Lin, -999,Generalising Fine-Grained Sketch-Based Image Retrieval,,,,,,,,,Tuesday,Poster 1.1,45,Kaiyue Pang, -1000,ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation,,,,,,,,,Thursday,Poster 3.2,43,Xiaoliang Dai, -1001,Ray-Space Projection Model for Light Field Camera,,,,,,,,,Thursday,Poster 3.1,150,Qi Zhang, -1002,Learning to Detect Human-Object Interactions With Knowledge,,,,,,,,,Tuesday,Poster 1.1,204,Bingjie Xu, -1003,End-To-End Supervised Product Quantization for Image Search and Retrieval,,,,,,,,,Wednesday,Poster 2.1,49,Benjamin Klein, -1004,RAVEN: A Dataset for Relational and Analogical Visual REasoNing,,,,https://wellyzhang.github.io/project/raven.html,,,,,Wednesday,Poster 2.1,77,Chi Zhang,"Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu" -1005,Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation,,,,,,,,,Tuesday,Poster 1.1,147,Yazeed Alharbi, -1006,Efficient Featurized Image Pyramid Network for Single Shot Detector,,,,,,,,,Wednesday,Poster 2.2,60,Yanwei Pang, -1007,Data Representation and Learning With Graph Diffusion-Embedding Networks,,,,,,,,,Thursday,Poster 3.1,180,Bo Jiang, -1008,Enhanced Pix2pix Dehazing Network,,,,,,,,,Wednesday,Poster 2.2,162,Yanyun Qu, -1009,FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference,,,,,,,,,Wednesday,Poster 2.1,72,Jungbeom Lee, -1010,Adaptive Confidence Smoothing for Generalized Zero-Shot Learning,,,,,,,,,Thursday,Poster 3.2,71,Yuval Atzmon, -1011,Attentive Relational Networks for Mapping Images to Scene Graphs,,,,,,,,,Tuesday,Poster 1.2,185,Mengshi Qi, -1012,Multi-Task Learning of Hierarchical Vision-Language Representation,,,,,,,,,Thursday,Poster 3.1,188,Duy-Kien Nguyen, -1013,Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition,,,,,,,,,Wednesday,Poster 2.2,48,Moein Shakeri, -1014,A Content Transformation Block for Image Style Transfer,,,,,,,,,Thursday,Poster 3.1,141,Dmytro Kotovenko, -1015,Knockoff Nets: Stealing Functionality of Black-Box Models,,,,,,,,,Wednesday,Poster 2.1,40,Tribhuvanesh Orekondy, -1016,Unsupervised Moving Object Detection via Contextual Information Separation,,,,,,,,,Tuesday,Poster 1.1,65,Yanchao Yang, -1017,P2SGrad: Refined Gradients for Optimizing Deep Face Models,,,,,,,,,Thursday,Poster 3.1,128,Xiao Zhang, -1018,Fast Spatio-Temporal Residual Network for Video Super-Resolution,,,,,,,,,Thursday,Poster 3.1,206,Sheng Li, -1019,Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks,,,,,,,,,Thursday,Poster 3.2,204,Stephen James, -1020,Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning,,,,,,,,,Thursday,Poster 3.1,108,Rohit Pandey, -1021,Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks,,,,,,,,,Tuesday,Poster 1.2,48,Junjie Zhang, -1022,Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling,,,,,,,,,Tuesday,Poster 1.2,85,Jiancheng Yang,"Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian" -1023,Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks,,,,,,,,,Wednesday,Poster 2.1,70,Seoung Wug Oh, -1024,Explicit Spatial Encoding for Deep Local Descriptors,,,,,,,,,Thursday,Poster 3.1,46,Arun Mukundan, -1025,Learning Shape-Aware Embedding for Scene Text Detection,,,,,,,,,Tuesday,Poster 1.2,213,Zhuotao Tian, -1026,A Structured Model for Action Detection,,,,,,,,,Thursday,Poster 3.1,135,Yubo Zhang, -1027,Scan2Mesh: From Unstructured Range Scans to 3D Meshes,,,,,,,,,Wednesday,Poster 2.1,103,Angela Dai, -1028,Deep Single Image Camera Calibration With Radial Distortion,,,,,,,,,Thursday,Poster 3.2,86,Manuel Lopez, -1029,Dense Classification and Implanting for Few-Shot Learning,,,,,,,,,Thursday,Poster 3.1,32,Yann Lifchitz, -1030,DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image,,,,,,,,,Tuesday,Poster 1.2,84,Jiaxiong Qiu, -1031,Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters,,,,,,,,,Tuesday,Poster 1.1,135,Ugur Kart, -1032,MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors,,,,,,,,,Thursday,Poster 3.1,42,Lile Cai, -1033,Visual Localization by Learning Objects-Of-Interest Dense Match Regression,,,,,,,,,Wednesday,Poster 2.1,124,Philippe Weinzaepfel, -1034,Cross Domain Model Compression by Structurally Weight Sharing,,,,,,,,,Thursday,Poster 3.1,2,Shangqian Gao, -1035,Learning to Generate Synthetic Data via Compositing,,,,,,,,,Tuesday,Poster 1.1,23,Shashank Tripathi, -1036,Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage,,,,,,,,,Wednesday,Poster 2.2,73,Luca Magri, -1037,Image-Question-Answer Synergistic Network for Visual Dialog,,,,,,,,,Thursday,Poster 3.1,182,Dalu Guo, -1038,Learning Multi-Class Segmentations From Single-Class Datasets,,,,,,,,,Thursday,Poster 3.1,72,Konstantin Dmitriev, -1039,Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring,,,,,,,,,Wednesday,Poster 2.1,180,Liyuan Pan, -1040,Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples,,,,,,,,,Tuesday,Poster 1.1,63,Zihao Liu, -1041,3D Guided Fine-Grained Face Manipulation,,,,,,,,,Thursday,Poster 3.1,119,Zhenglin Geng, -1042,An End-To-End Network for Generating Social Relationship Graphs,,,,,,,,,Thursday,Poster 3.2,21,Arushi Goel, -1043,Compact Feature Learning for Multi-Domain Image Classification,,,,,,,,,Wednesday,Poster 2.2,45,Yajing Liu, -1044,Privacy Preserving Image-Based Localization,,,,,,,,,Wednesday,Poster 2.1,95,Pablo Speciale, -1045,Learning View Priors for Single-View 3D Reconstruction,,,,http://hiroharu-kato.com/projects_en/view_prior_learning.html,,,,,Thursday,Poster 3.1,115,Hiroharu Kato,"Hiroharu Kato, Tatsuya Harada" -1046,SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints,,,,,,,,,Tuesday,Poster 1.1,136,Amir Sadeghian, -1047,Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking,,,,,,,,,Wednesday,Poster 2.2,123,Heng Fan, -1048,ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis,,,,,,,,,Wednesday,Poster 2.1,44,Chao Chen, -1049,Automatic Face Aging in Videos via Deep Reinforcement Learning,,,,,,,,,Thursday,Poster 3.1,139,Chi Nhan Duong, -1050,Unsupervised 3D Pose Estimation With Geometric Self-Supervision,,,,,,,,,Wednesday,Poster 2.1,132,Ching-Hang Chen, -1051,Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates,,,,,,,,,Tuesday,Poster 1.2,198,Jerome Revaud, -1052,Blind Super-Resolution With Iterative Kernel Correction,,,,,,,,,Tuesday,Poster 1.1,162,Jinjin Gu, -1053,DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features,,,,,,,,,Tuesday,Poster 1.2,4,Chang Tang, -1054,Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training,,,,,,,,,Tuesday,Poster 1.1,106,Mahdi Abavisani, -1055,A Late Fusion CNN for Digital Matting,,,,,,,,,Wednesday,Poster 2.2,74,Yunke Zhang, -1056,Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering,,,,,,,,,Thursday,Poster 3.2,130,Xinglin Piao, -1057,Embedding Complementary Deep Networks for Image Classification,,,,,,,,,Thursday,Poster 3.1,30,Qiuyu Chen, -1058,All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation,,,,,,,,,Tuesday,Poster 1.1,192,Wei-Lun Chang, -1059,Does Learning Specific Features for Related Parts Help Human Pose Estimation?,,,,,,,,,Tuesday,Poster 1.1,100,Wei Tang, -1060,Adversarial Semantic Alignment for Improved Image Captions,,,,,,,,,Thursday,Poster 3.1,185,Pierre Dognin, -1061,Learning to Learn Image Classifiers With Visual Analogy,,,,,,,,,Thursday,Poster 3.2,53,Linjun Zhou, -1062,VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People,,,,,,,,,Tuesday,Poster 1.1,71,Danna Gurari, -1063,Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation,,,,,,,,,Tuesday,Poster 1.2,50,Jian Liang, -1064,Fully Quantized Network for Object Detection,,,,,,,,,Tuesday,Poster 1.2,15,Rundong Li, -1065,Learning From Noisy Labels by Regularized Estimation of Annotator Confusion,,,,,,,,,Thursday,Poster 3.2,27,Ryutaro Tanno, -1066,Deep Defocus Map Estimation Using Domain Adaptation,,,,,,,,,Thursday,Poster 3.2,145,Junyong Lee, -1067,KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing,,,,,,,,,Wednesday,Poster 2.1,69,Mengshi Qi, -1068,Separate to Adapt: Open Set Domain Adaptation via Progressive Separation,,,,,,,,,Tuesday,Poster 1.2,45,Hong Liu, -1069,Spatially Variant Linear Representation Models for Joint Filtering,,,,,,,,,Tuesday,Poster 1.1,172,Jinshan Pan, -1070,Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling,,,,,,,,,Wednesday,Poster 2.2,19,Zhen Wei, -1071,Towards Universal Object Detection by Domain Attention,,,,http://www.svcl.ucsd.edu/projects/universal-detection/?,,,,,Wednesday,Poster 2.2,55,Xudong Wang,"Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos" -1072,Salient Object Detection With Pyramid Attention and Salient Edges,,,,,,,,,Tuesday,Poster 1.1,146,Wenguan Wang, -1073,Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection,,,,,,,,,Thursday,Poster 3.1,140,Rui Shao, -1074,CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions,,,,,,,,,Tuesday,Poster 1.2,208,Runtao Liu, -1075,A Flexible Convolutional Solver for Fast Style Transfers,,,,,,,,,Thursday,Poster 3.1,1,Gilles Puy, -1076,MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection,,,,,,,,,Thursday,Poster 3.1,96,Paul Bergmann, -1077,MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition,,,,,,,,,Wednesday,Poster 2.2,64,Weihe Zhang, -1078,Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction,,,,,,,,,Thursday,Poster 3.2,91,Jason Ku, -1079,Contrastive Adaptation Network for Unsupervised Domain Adaptation,,,,,,,,,Wednesday,Poster 2.1,34,Guoliang Kang, -1080,"NetTailor: Tuning the Architecture, Not Just the Weights",,,,,,,,,Tuesday,Poster 1.2,57,Pedro Morgado, -1081,Variational Information Distillation for Knowledge Transfer,,,,,,,,,Thursday,Poster 3.1,22,Sungsoo Ahn, -1082,FA-RPN: Floating Region Proposals for Face Detection,,,,,,,,,Wednesday,Poster 2.2,100,Mahyar Najibi, -1083,Multi-Agent Tensor Fusion for Contextual Trajectory Prediction,,,,,,,,,Thursday,Poster 3.2,135,Tianyang Zhao, -1084,Bayesian Hierarchical Dynamic Model for Human Action Recognition,,,,,,,,,Wednesday,Poster 2.2,101,Rui Zhao, -1085,CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth,,,,http://webdiis.unizar.es/~jmfacil/camconvs/,,,,,Thursday,Poster 3.2,87,Jose M. Facil,"Jose M. Facil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera" -1086,A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem,,,,,,,,,Wednesday,Poster 2.1,188,Ganzhao Yuan, -1087,Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth,,,,,,,,,Wednesday,Poster 2.1,101,Rui Wang, -1088,F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning,,,,,,,,,Thursday,Poster 3.1,166,Yongqin Xian, -1089,Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification,,,,,,,,,Tuesday,Poster 1.2,116,Qize Yang, -1090,Learning RoI Transformer for Oriented Object Detection in Aerial Images,,,,,,,,,Tuesday,Poster 1.2,37,Jian Ding, -1091,Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior,,,,,,,,,Thursday,Poster 3.1,164,Magauiya Zhussip, -1092,Action4D: Online Action Recognition in the Crowd and Clutter,,,,,,,,,Thursday,Poster 3.2,90,Quanzeng You, -1093,Structural Relational Reasoning of Point Clouds,,,,,,,,,Tuesday,Poster 1.1,84,Yueqi Duan, -1094,Fast Object Class Labelling via Speech,,,,,,,,,Wednesday,Poster 2.1,82,Michael Gygli, -1095,Object Instance Annotation With Deep Extreme Level Set Evolution,,,,,,,,,Wednesday,Poster 2.2,77,Zian Wang, -1096,Graphical Contrastive Losses for Scene Graph Parsing,,,,,,,,,Thursday,Poster 3.2,57,Ji Zhang, -1097,HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds,,,,,,,,,Tuesday,Poster 1.2,78,Xiuye Gu, -1098,Time-Conditioned Action Anticipation in One Shot,,,,,,,,,Thursday,Poster 3.1,130,Qiuhong Ke, -1099,Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation,,,,,,,,,Thursday,Poster 3.2,205,Haofu Liao, -1100,Quantization Networks,,,,,,,,,Wednesday,Poster 2.2,57,Jiwei Yang, -1101,Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering,,,,,,,,,Wednesday,Poster 2.2,215,Jianyang Xie, -1102,Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,16,Yifan Sun, -1103,Learning Without Memorizing,,,,,,,,,Wednesday,Poster 2.1,59,Prithviraj Dhar, -1104,Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video,,,,,,,,,Wednesday,Poster 2.2,112,Radu Tudor Ionescu, -1105,MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction,,,,,,,,,Wednesday,Poster 2.2,94,Hongwei Yi, -1106,Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation,,,,,,,,,Thursday,Poster 3.1,114,Andrea Pilzer, -1107,Learning to Localize Through Compressed Binary Maps,,,,,,,,,Thursday,Poster 3.1,170,Xinkai Wei, -1108,Min-Max Statistical Alignment for Transfer Learning,,,,,,,,,Thursday,Poster 3.1,35,Samitha Herath, -1109,Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks,,,,,,,,,Thursday,Poster 3.1,214,Nima Mohajerin, -1110,Pointing Novel Objects in Image Captioning,,,,,,,,,Thursday,Poster 3.2,191,Yehao Li, -1111,Task-Free Continual Learning,,,,,,,,,Thursday,Poster 3.2,28,Rahaf Aljundi, -1112,A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks,,,,,,,,,Wednesday,Poster 2.2,23,Yinghao Xu, -1113,DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition,,,,,,,,,Tuesday,Poster 1.1,128,Zheng Shou, -1114,Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition,,,,,,,,,Thursday,Poster 3.2,112,Jiayu Dong, -1115,PIEs: Pose Invariant Embeddings,,,,,,,,,Thursday,Poster 3.2,179,Chih-Hui Ho, -1116,Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning,,,,,,,,,Thursday,Poster 3.1,34,Xi Shen, -1117,Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning,,,,,,,,,Thursday,Poster 3.2,190,Nayyer Aafaq, -1118,Marginalized Latent Semantic Encoder for Zero-Shot Learning,,,,,,,,,Wednesday,Poster 2.1,196,Zhengming Ding, -1119,Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy,,,,,,,,,Wednesday,Poster 2.2,47,Aoxue Li, -1120,Deep Robust Subjective Visual Property Prediction in Crowdsourcing,,,,,,,,,Thursday,Poster 3.1,4,Qianqian Xu, -1121,Soft Labels for Ordinal Regression,,,,,,,,,Wednesday,Poster 2.1,18,Raul Diaz, -1122,Learning Words by Drawing Images,,,,,,,,,Tuesday,Poster 1.1,205,Didac Suris, -1123,Learning to Separate Multiple Illuminants in a Single Image,,,,,,,,,Tuesday,Poster 1.2,149,Zhuo Hui, -1124,Context-Aware Visual Compatibility Prediction,,,,,,,,,Thursday,Poster 3.2,203,Guillem Cucurull, -1125,LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search,,,,,,,,,Tuesday,Poster 1.2,40,John Collomosse, -1126,Explicit Bias Discovery in Visual Question Answering Models,,,,,,,,,Thursday,Poster 3.1,93,Varun Manjunatha, -1127,Single-Frame Regularization for Temporally Stable CNNs,,,,,,,,,Thursday,Poster 3.2,20,Gabriel Eilertsen, -1128,Mask-Guided Portrait Editing With Conditional GANs,,,,,,,,,Tuesday,Poster 1.2,96,Shuyang Gu, -1129,Large-Scale Interactive Object Segmentation With Human Annotators,,,,,,,,,Thursday,Poster 3.2,74,Rodrigo Benenson, -1130,On Exploring Undetermined Relationships for Visual Relationship Detection,,,,,,,,,Wednesday,Poster 2.1,58,Yibing Zhan, -1131,A Compact Embedding for Facial Expression Similarity,,,,,,,,,Wednesday,Poster 2.1,129,Raviteja Vemulapalli, -1132,Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification,,,,,,,,,Tuesday,Poster 1.1,50,Hao Guo, -1133,Object-Driven Text-To-Image Synthesis via Adversarial Training,,,,,,,,,Thursday,Poster 3.2,140,Wenbo Li, -1134,Creative Flow+ Dataset,,,,,,,,,Wednesday,Poster 2.1,84,Maria Shugrina, -1135,Towards Real Scene Super-Resolution With Raw Images,,,,,,,,,Tuesday,Poster 1.1,174,Xiangyu Xu, -1136,Inverse Discriminative Networks for Handwritten Signature Verification,,,,,,,,,Wednesday,Poster 2.1,152,Ping Wei, -1137,Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification,,,,,,,,,Wednesday,Poster 2.1,92,Jin Li, -1138,Disentangling Latent Hands for Image Synthesis and Pose Estimation,,,https://mp.weixin.qq.com/s/U45X5kKMw_E4vfHfVmWZTA,,,,,,Thursday,Poster 3.1,125,Linlin Yang, -1139,Feature Selective Anchor-Free Module for Single-Shot Object Detection,,,,,,,,,Tuesday,Poster 1.1,61,Chenchen Zhu,"Chenchen Zhu, Yihui He, Marios Savvides" -1140,Rare Event Detection Using Disentangled Representation Learning,,,,,,,,,Thursday,Poster 3.1,39,Ryuhei Hamaguchi, -1141,Joint Manifold Diffusion for Combining Predictions on Decoupled Observations,,,,,,,,,Wednesday,Poster 2.2,82,Kwang In Kim, -1142,Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences,,,,,,,,,Thursday,Poster 3.1,8,Seonguk Seo, -1143,Fully Automatic Video Colorization With Self-Regularization and Diversity,,,,,,,,,Tuesday,Poster 1.2,146,Chenyang Lei, +400,Learning to Learn From Noisy Labeled Data,,https://github.com/LiJunnan1992/MLNT,,,,,,,Wednesday,Poster 2.1,50,Junnan Li,"Junnan Li, Y. Wong, Qi Zhao, M. Kankanhalli " +401,Learning Parallax Attention for Stereo Image Super-Resolution,,https://github.com/LongguangWang/PASSRnet,,,,,,,Thursday,Poster 3.2,166,Longguang Wang,"Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo" +402,Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition,,https://github.com/lshiwjx/2s-AGCN,,,,,,,Thursday,Poster 3.2,125,Lei Shi, +403,Dense Intrinsic Appearance Flow for Human Pose Transfer,,https://github.com/ly015/intrinsic_flow?,,,,,,,Tuesday,Poster 1.2,140,Yining Li,"Yining Li, Chen Huang, Chen Change Loy" +404,TopNet: Structural Point Cloud Decoder,,https://github.com/lynetcha/completion3d,,,,,,,Tuesday,Poster 1.1,15,Lyne P. Tchapmi,"Tchapmi, Lyne P and Kosaraju, Vineet and Rezatofighi, S. Hamid and Reid, Ian and Savarese, Silvio" +405,End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization,,https://github.com/maestrojeong/Deep-Hash-Table-CVPR19?,,,,,,,Thursday,Poster 3.2,41,Yeonwoo Jeong,"Yeonwoo Jeong, Yoonsuing Kim, Hyun Oh Song" +406,Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning,,https://github.com/MalongTech/research-ms-loss?,,,,,,,Wednesday,Poster 2.1,47,Xun Wang,"Xun Wang, Xintong Han, Weilin Huang, Dengke Dong, Matthew R. Scott" +407,Seamless Scene Segmentation,,https://github.com/mapillary/seamseg,,,,,,,Wednesday,Poster 2.2,174,Lorenzo Porzi,"Lorenzo Porzi, Samuel Rota Bul¨°, Aleksander Colovic, Peter Kontschieder" +408,Light Field Messaging With Deep Photographic Steganography,,https://github.com/mathski/LFM,,,,,,,Tuesday,Poster 1.1,153,Eric Wengrowski,Eric Wengrowski and Kristin Dana +409,Guided Stereo Matching,,https://github.com/mattpoggi/guided-stereo,,,,,,,Tuesday,Poster 1.1,87,Matteo Poggi," Matteo Poggi, Davide Pallotti, Fabio Tosi and Stefano Mattoccia," +410,Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem,,https://github.com/max-andr/relu_networks_overconfident,,,,Tuesday,Oral 1.1A,09:23,Tuesday,Poster 1.1,5,Matthias Hein,"Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf" +411,Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence,,https://github.com/mcahny/Deep_Blind_Video_Decaptioning?,,,,,,,Tuesday,Poster 1.2,216,Dahun Kim,"Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon" +412,Deep Video Inpainting,,https://github.com/mcahny/Deep_Video_Inpainting,,,,,,,Wednesday,Poster 2.1,155,Dahun Kim,"Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon" +413,Learning to Extract Flawless Slow Motion From Blurry Videos,,https://github.com/MeiguangJin/slow-motion,,,,,,,Wednesday,Poster 2.2,157,Meiguang Jin,"Jin, Meiguang and Hu, Zhe and Favaro, Paolo" +414,Self-Supervised 3D Hand Pose Estimation Through Training by Fitting,,https://github.com/melonwan/sphereHand,,,,Thursday,Oral 3.2B,13:58,Thursday,Poster 3.2,97,Chengde Wan, +415,Deep Modular Co-Attention Networks for Visual Question Answering,,https://github.com/MILVLG/mcan-vqa,,,,,,,Wednesday,Poster 2.1,205,Zhou Yu,"Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, Qi Tian" +416,Unsupervised Face Normalization With Extreme Pose and Expression in the Wild,,https://github.com/mx54039q/fnm,,,,,,,Thursday,Poster 3.1,122,Yichen Qian,"Qian, Yichen and Deng, Weihong and Hu, Jiani" +417,Convolutional Mesh Regression for Single-Image Human Shape Reconstruction,,https://github.com/nkolot/GraphCMR,,,,Wednesday,Oral 2.1B,09:16,Wednesday,Poster 2.1,114,Nikos Kolotouros,"Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis" +418,Improving Semantic Segmentation via Video Propagation and Label Relaxation,,https://github.com/NVIDIA/semantic-segmentation,,,,Thursday,Oral 3.1C,08:53,Thursday,Poster 3.1,59,Yi Zhu,"Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro" +419,Pixel-Adaptive Convolutional Neural Networks,,https://github.com/NVlabs/pacnet,,,,,,,Thursday,Poster 3.2,19,Hang Su,"Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, and Jan Kautz." +420,SCOPS: Self-Supervised Co-Part Segmentation,,https://github.com/NVlabs/SCOPS,,https://varunjampani.github.io/scops/,,,,,Tuesday,Poster 1.1,64,Wei-Chih Hung,Wei-Chih Hung Varun Jampani Sifei Liu Pavlo Molchanov Ming-Hsuan Yang Jan Kautz +421,Importance Estimation for Neural Network Pruning,,https://github.com/NVlabs/Taylor_pruning,,,,,,,Thursday,Poster 3.2,29,Pavlo Molchanov,"Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz" +422,Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations,,https://github.com/nv-tlabs/STEAL,,https://nv-tlabs.github.io/STEAL/?,,Thursday,Oral 3.2C,14:24,Thursday,Poster 3.2,156,David Acuna,"David Acuna, Amlan Kar, Sanja Fidler" +423,Libra R-CNN: Towards Balanced Learning for Object Detection,,https://github.com/OceanPang/Libra_R-CNN,,,,,,,Tuesday,Poster 1.1,59,Jiangmiao Pang, +424,3D Appearance Super-Resolution With Deep Learning,,https://github.com/ofsoundof/3D_Appearance_SR,,,,,,,Thursday,Poster 3.1,104,Yawei Li,"Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc van Gool" +425,Hybrid Task Cascade for Instance Segmentation,,https://github.com/open-mmlab/mmdetection,https://mp.weixin.qq.com/s/xug0xKfc9RgJEUci1a_xog,,,,,,Wednesday,Poster 2.1,42,Kai Chen,"Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin" +426,Region Proposal by Guided Anchoring,,https://github.com/open-mmlab/mmdetection,https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g,,,,,,Tuesday,Poster 1.2,49,Jiaqi Wang,"Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin" +427,Translate-to-Recognize Networks for RGB-D Scene Recognition,,https://github.com/ownstyledu/Translate-to-Recognize-Networks,,https://ownstyledu.github.io/Translate-to-Recognize-Networks/,,,,,Thursday,Poster 3.2,88,Dapeng Du,"Du, Dapeng and Wang, Limin and Wang, Huiling and Zhao, Kai and Wu, Gangshan" +428,SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks,,https://github.com/PengBoXiangShang/SiamRPN_plus_plus_PyTorch,https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ,http://bo-li.info/SiamRPN++/,,Wednesday,Oral 2.1A,08:35,Wednesday,Poster 2.1,2,Bo Li,"Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan" +429,Representation Flow for Action Recognition,,https://github.com/piergiaj/representation-flow-cvpr19,,https://piergiaj.github.io/rep-flow-site/,,,,,Thursday,Poster 3.1,132,AJ Piergiovanni,"AJ Piergiovanni, Michael S. Ryoo" +430,SelFlow: Self-Supervised Learning of Optical Flow,,https://github.com/ppliuboy/SelFlow,,,,Wednesday,Oral 2.1C,08:30,Wednesday,Poster 2.1,135,Pengpeng Liu, +431,Learning Single-Image Depth From Videos Using Quality Assessment Networks,,https://github.com/princeton-vl/YouTube3D,,,,,,,Wednesday,Poster 2.1,121,Weifeng Chen, +432,Describing Like Humans: On Diversity in Image Captioning,,https://github.com/qingzwang/DiversityMetrics,,,,,,,Tuesday,Poster 1.2,209,Qingzhong Wang,"Qingzhong Wang, Antoni B. Chan" +433,Amodal Instance Segmentation With KINS Dataset,,https://github.com/qqlu/Amodal-Instance-Segmentation-through-KINS-Dataset,,,,,,,Tuesday,Poster 1.2,54,Lu Qi," Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia" +434,Information Maximizing Visual Question Generation,,https://github.com/ranjaykrishna/iq,,,,,,,Tuesday,Poster 1.1,203,Ranjay Krishna,"Krishna, Ranjay and Bernstein, Michael and Fei-Fei, Li" +435,Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss,,https://github.com/roysubhankar/dwt-domain-adaptation,,,,,,,Thursday,Poster 3.1,54,Subhankar Roy, +436,S4Net: Single Stage Salient-Instance Segmentation,,https://github.com/RuochenFan/S4Net,,,,,,,Wednesday,Poster 2.1,187,Ruochen Fan,"Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu" +437,Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video,,https://github.com/SamvitJ/Accel,,,,Thursday,Oral 3.1C,08:58,Thursday,Poster 3.1,60,Samvit Jain, +438,SOSNet: Second Order Similarity Regularization for Local Descriptor Learning,,https://github.com/scape-research/SOSNet,,,,Thursday,Oral 3.2C,13:48,Thursday,Poster 3.2,150,Yurun Tian, +439,FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image,,https://github.com/shamangary/FSA-Net?,,,,,,,Tuesday,Poster 1.1,98,Tsun-Yi Yang,"Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, and Yung-Yu Chuang" +440,Wide-Context Semantic Image Extrapolation,,https://github.com/shepnerd/outpainting_srn,,,,,,,Tuesday,Poster 1.1,141,Yi Wang,"Yi Wang, Xin Tao, Xiaoyong Shen, Jiaya Jia." +441,Scene Parsing via Integrated Classification Model and Variance-Based Regularization,,https://github.com/shihengcan/ICM-matcaffe,,,,,,,Wednesday,Poster 2.1,76,Hengcan Shi,"Hengcan Shi, Hongliang Li, Qingbo Wu, Zichen Song" +442,Learning Non-Volumetric Depth Fusion Using Successive Reprojections,,https://github.com/simon-donne/defusr,,,,,,,Wednesday,Poster 2.2,91,Simon Donne,"Simon Donn¨¦, Andreas Geiger" +443,Learning Context Graph for Person Search,,https://github.com/sjtuzq/person_search_gcn,,,,Tuesday,Oral 1.2A,13:40,Tuesday,Poster 1.2,20,Yichao Yan,"Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang" +444,Content-Aware Multi-Level Guidance for Interactive Instance Segmentation,,https://github.com/sm176357/mlg,,,,,,,Thursday,Poster 3.2,64,Soumajit Majumder, +445,Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery,,https://github.com/suniique/Leveraging-Crowdsourced-GPS-Data-for-Road-Extraction-from-Aerial-Imagery?,,,,,,,Wednesday,Poster 2.2,78,Tao Sun,"Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang" +446,Dissecting Person Re-Identification From the Viewpoint of Viewpoint,,https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint,,,,,,,Tuesday,Poster 1.1,38,Xiaoxiao Sun,"Ting Zhao, Xiangqian Wu" +447,Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation,,https://github.com/taki0112/GDWCT-Tensorflow,,,,Thursday,Oral 3.2A,13:35,Thursday,Poster 3.2,2,Wonwoong Cho,"Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo" +448,Sphere Generative Adversarial Network Based on Geometric Moment Matching,,https://github.com/taki0112/SphereGAN-Tensorflow?,,,,Wednesday,Oral 2.1A,08:40,Wednesday,Poster 2.1,3,Sung Woo Park,Sung Woo Park and Junseok Kwon +449,Learning to Transfer Examples for Partial Domain Adaptation,,https://github.com/thuml/ETN,,,,,,,Tuesday,Poster 1.2,51,Zhangjie Cao,"Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang" +450,Universal Domain Adaptation,,https://github.com/thuml/Universal-Domain-Adaptation?,,,,,,,Tuesday,Poster 1.2,6,Kaichao You,"Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael . Jordan" +451,Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds,,https://github.com/tiancheng-zhi/ms-powder,,http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/?,,Thursday,Oral 3.1B,08:48,Thursday,Poster 3.1,80,Tiancheng Zhi,"Tiancheng Zhi, Bernardo R. Pires, Martial Hebert and Srinivasa G. Narasimhan" +452,Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks,,https://github.com/tyohei/chainerkfac,,,,,,,Thursday,Poster 3.2,177,Kazuki Osawa,"Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, and Satoshi Matsuoka" +453,TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning,,https://github.com/ucbdrive/tafe-net,,,,,,,Tuesday,Poster 1.1,185,Xin Wang,"Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez" +454,Text2Scene: Generating Compositional Scenes From Textual Descriptions,,https://github.com/uvavision/Text2Image?,,,,Wednesday,Oral 2.2B,14:47,Wednesday,Poster 2.2,190,Fuwen Tan,"Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao" +455,"Expressive Body Capture: 3D Hands, Face, and Body From a Single Image",,https://github.com/vchoutas/smplify-x,,https://smpl-x.is.tue.mpg.de/?,,Thursday,Oral 3.2B,15:10,Thursday,Poster 3.2,109,Georgios Pavlakos,"Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black" +456,C3AE: Exploring the Limits of Compact Model for Age Estimation,,https://github.com/vicwer/C3AE_Age_Estimation,,,,,,,Thursday,Poster 3.2,200,Chao Zhang,"Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu" +457,Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation,,https://github.com/visinf/irr,,,,,,,Wednesday,Poster 2.1,151,Junhwa Hur,Junhwa Hur and Stefan Roth +458,MOTS: Multi-Object Tracking and Segmentation,,https://github.com/VisualComputingInstitute/mots_tools,,,,,,,Wednesday,Poster 2.2,122,Paul Voigtlaender, +459,Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation,,https://github.com/vsingh-group/MeNets,,,,,,,Wednesday,Poster 2.2,102,Yunyang Xiong, +460,Interactive Image Segmentation via Backpropagating Refinement Scheme,,https://github.com/wdjang/BRS-Interactive_segmentation,,,,,,,Wednesday,Poster 2.1,75,Won-Dong Jang,Won-Dong Jang and Chang-Su Kim +461,Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning,,https://github.com/WenbinLee/DN4.git,,,,,,,Wednesday,Poster 2.2,52,Wenbin Li,"Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo" +462,Adapting Object Detectors via Selective Cross-Domain Alignment,,https://github.com/WERush/SCDA,,,,,,,Tuesday,Poster 1.1,46,Xinge Zhu,"Zhu, Xinge and Pang, Jiangmiao and Yang, Ceyuan and Shi, Jianping and Lin, Dahua" +463,Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations,,https://github.com/wonheeML/mtl-ssl,,,,,,,Wednesday,Poster 2.1,43,Wonhee Lee, +464,Synthesizing Environment-Aware Activities via Activity Sketches,,https://github.com/xavierpuigf/virtualhome,,,,,,,Wednesday,Poster 2.1,206,Yuan-Hong Liao,"A. Liao*, X. Puig*, M. Boben, A. Torralba, S. Fidler" +465,Generating 3D Adversarial Point Clouds,,https://github.com/xiangchong1/3d-adv-pc,,,,,,,Thursday,Poster 3.1,19,Chong Xiang,"Chong Xiang, Charles R. Qi , Bo Li " +466,Self-Supervised Learning via Conditional Motion Propagation,,https://github.com/XiaohangZhan/conditional-motion-propagation?,,,,,,,Tuesday,Poster 1.1,190,Xiaohang Zhan,"Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy" +467,Learning Video Representations From Correspondence Proposals,,https://github.com/xingyul/cpnet,,,,Wednesday,Oral 2.1A,08:30,Wednesday,Poster 2.1,1,Xingyu Liu,"Xingyu Liu, Joon-Young Lee and Hailin Jin" +468,FlowNet3D: Learning Scene Flow in 3D Point Clouds,,https://github.com/xingyul/flownet3d,,,,,,,Tuesday,Poster 1.1,30,Xingyu Liu,"Xingyu Liu, Charles R. Qi, Leonidas J. Guibas " +469,Target-Aware Deep Tracking,,https://github.com/XinLi-zn/TADT,,https://xinli-zn.github.io/TADT-project-page/,,,,,Tuesday,Poster 1.1,138,Xin Li,"Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang" +470,Ranked List Loss for Deep Metric Learning,,https://github.com/XinshaoAmosWang/RankedListLoss,,,,,,,Wednesday,Poster 2.1,66,Xinshao Wang, +471,Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction,,https://github.com/xudejing/VCOP,,,,,,,Thursday,Poster 3.1,172,Dejing Xu,Dejing Xu£¬Jun Xiao£¬Zhou Zhao£¬Jian Shao£¬Di Xie£¬Yueting Zhuang +472,Meta-SR: A Magnification-Arbitrary Network for Super-Resolution,,https://github.com/XuecaiHu/Meta-SR-Pytorch,,,,,,,Tuesday,Poster 1.1,159,Xuecai Hu,"Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun" +473,Depth-Attentional Features for Single-Image Rain Removal,,https://github.com/xw-hu/DAF-Net,,,,,,,Wednesday,Poster 2.2,148,Xiaowei Hu,"Xiaowei Hu, Chi-Wing Fu, Lei Zhu, and Pheng-Ann Heng" +474,Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval,,https://github.com/yalesong/pvse,,,,,,,Tuesday,Poster 1.1,200,Yale Song, +475,InverseRenderNet: Learning Single Image Inverse Rendering,,https://github.com/YeeU/InverseRenderNet,,,,,,,Tuesday,Poster 1.2,68,Ye Yu,"Yu, Ye and Smith, William AP" +476,Im2Pencil: Controllable Pencil Illustration From Photographs,,https://github.com/Yijunmaverick/Im2Pencil?,,,,,,,Tuesday,Poster 1.1,154,Yijun Li,"Yijun Li,Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang" +477,Probabilistic End-To-End Noise Correction for Learning With Noisy Labels,,https://github.com/yikun2019/PENCIL,,,,,,,Wednesday,Poster 2.2,9,Kun Yi, +478,Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation,,https://github.com/yingcong/HomoInterpGAN,,,,Tuesday,Oral 1.2B,14:24,Tuesday,Poster 1.2,127,Ying-Cong Chen, +479,StoryGAN: A Sequential Conditional GAN for Story Visualization,,https://github.com/yitong91/StoryGAN,,,,,,,Wednesday,Poster 2.1,210,Yitong Li,"Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao" +480,Learning to Cluster Faces on an Affinity Graph,,https://github.com/yl-1993/learn-to-cluster?,,,,Tuesday,Oral 1.2A,15:05,Tuesday,Poster 1.2,34,Lei Yang,"Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin" +481,Side Window Filtering,,https://github.com/YuanhaoGong/SideWindowFilter ,,,,Thursday,Oral 3.1B,09:24,Thursday,Poster 3.1,86,Hui Yin,"Hui Yin, Yuanhao Gong, Guoping Qiu" +482,Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach,,https://github.com/yuhuayc/gio-ada,,,,,,,Tuesday,Poster 1.1,186,Yuhua Chen, +483,Recursive Visual Attention in Visual Dialog,,https://github.com/yuleiniu/rva,,,,Wednesday,Oral 2.2B,14:29,Wednesday,Poster 2.2,187,Yulei Niu,"Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, Ji-Rong Wen" +484,Connecting Touch and Vision via Cross-Modal Prediction,,https://github.com/YunzhuLi/VisGel,,http://visgel.csail.mit.edu/,,,,,Thursday,Poster 3.1,215,Yunzhu Li,"Yunzhu Li,Jun-Yan Zhu,Russ Tedrake,and Antonio Torralba" +485,Path-Invariant Map Networks,,https://github.com/zaiweizhang/path_invariance_map_network,,,,Thursday,Oral 3.2C,14:29,Thursday,Poster 3.2,157,Zaiwei Zhang,"Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou and Qixing Huang" +486,CRAVES: Controlling Robotic Arm With a Vision-Based Economic System,,https://github.com/zfw1226/craves_control,,,,,,,Tuesday,Poster 1.2,211,Yiming Zuo,"Zuo, Yiming and Qiu, Weichao and Xie, Lingxi and Zhong, Fangwei and Wang, Yizhou and Yuille, Alan L" +487,CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection,,https://github.com/zhangludl/code-and-dataset-for-CapSal?,,,,,,,Wednesday,Poster 2.1,179,Lu Zhang,Lu Zhang; Huchuan Lu ; Zhe Lin ; Jianming Zhang; You He +488,Image Generation From Layout,,https://github.com/zhaobozb/layout2im,,,,Thursday,Oral 3.1A,09:06,Thursday,Poster 3.1,196,Bo Zhao,"Bo Zhao, Lili Meng,Weidong Yin, Leonid Sigal" +489,Learning Spatio-Temporal Representation With Local and Global Diffusion,,https://github.com/ZhaofanQiu/local-and-global-diffusion-networks,,,,,,,Thursday,Poster 3.2,128,Zhaofan Qiu, +490,Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion,,https://github.com/zhenpeiyang/RelativePose,,,,Wednesday,Oral 2.1B,09:34,Wednesday,Poster 2.1,117,Zhenpei Yang,"Zhenpei Yang, Jeffrey Z.Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman and Qixing Huang" +491,Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions,,https://github.com/ZhilZheng/Lr-LiVAE,,,,,,,Thursday,Poster 3.2,142,Zhilin Zheng,"Zhilin Zheng, Li Sun" +492,Large-Scale Long-Tailed Recognition in an Open World,,https://github.com/zhmiao/OpenLongTailRecognition-OLTR,,,,Tuesday,Oral 1.2C,13:53,Tuesday,Poster 1.2,170,Ziwei Liu,"Ziwei Liu*, Zhongqi Miao*, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu" +493,Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data,,https://github.com/zhongyy/Unequal-Training-for-Deep-Face-Recognition-with-Long-Tailed-Noisy-Data,,,,,,,Wednesday,Poster 2.2,109,Yaoyao Zhong,"Yaoyao Zhong, Weihong Deng,Mei Wang, Jiani Hu,Jianteng Peng, Xunqiang Tao, Yaohai Huang" +494,Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views,,https://github.com/zju-3dv/mvpose,,https://zju-3dv.github.io/mvpose/,,,,,Wednesday,Poster 2.2,107,Junting Dong,"Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou" +495,Parallel Optimal Transport GAN,,,,,,Wednesday,Oral 2.1A,09:52,Wednesday,Poster 2.1,15,Gil Avraham, +496,Learning to Explain With Complemental Examples,,,,,,Thursday,Oral 3.1A,09:16,Thursday,Poster 3.1,198,Atsushi Kanehira,"Atsushi Kanehira, Tatsuya Harada" +497,Textured Neural Avatars,,,,,,Tuesday,Oral 1.2B,14:11,Tuesday,Poster 1.2,125,Aliaksandra Shysheya,"Aliaksandra Shysheya (Samsung AI Center, Skolkovo Institute of Science and Technology), Egor Zakharov (Samsung AI Center, Skolkovo Institute of Science and Technology), Kara-Ali Aliev (Samsung AI Center), Renat Bashirov (Samsung AI Center), Egor Burkov (Samsung AI Center, Skolkovo Institute of Science and Technology), Karim Iskakov (Samsung AI Center), Aleksei Ivakhnenko (Samsung AI Center), Yury Malkov (Samsung AI Center), Igor Pasechnik (Samsung AI Center), Dmitry Ulyanov (Samsung AI Center, Skolkovo Institute of Science and Technology), Alexander Vakhitov (Samsung AI Center, Skolkovo Institute of Science and Technology), Victor Lempitsky (Samsung AI Center, Skolkovo Institute of Science and Technology)" +498,AE2-Nets: Autoencoder in Autoencoder Networks,,,,,,Tuesday,Oral 1.2C,14:16,Tuesday,Poster 1.2,174,Changqing Zhang,Changqing Zhang £¬Yeqing Liu£¬ Huazhu Fu +499,Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking,,,,,,Wednesday,Oral 2.1C,08:48,Wednesday,Poster 2.1,138,Jae Shin Yoon, +500,Self-Supervised Representation Learning From Videos for Facial Action Unit Detection,,,,,,Thursday,Oral 3.2B,14:42,Thursday,Poster 3.2,104,Yong Li, +501,IM-Net for High Resolution Video Frame Interpolation,,,,,,Tuesday,Oral 1.2B,14:16,Tuesday,Poster 1.2,126,Tomer Peleg, +502,SiCloPe: Silhouette-Based Clothed People,,,,,,Wednesday,Oral 2.1B,09:06,Wednesday,Poster 2.1,112,Ryota Natsume, +503,Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction,,,,,,Thursday,Oral 3.2B,14:11,Thursday,Poster 3.2,99,Hanbyul Joo, +504,LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning,,,,,,Wednesday,Oral 2.2A,15:00,Wednesday,Poster 2.2,40,Amit Alfassy, +505,Cycle-Consistency for Robust Visual Question Answering,,,,,,Wednesday,Oral 2.2B,14:11,Wednesday,Poster 2.2,184,Meet Shah, +506,Efficient Video Classification Using Fewer Frames,,,,,,Tuesday,Oral 1.1C,10:04,Tuesday,Poster 1.1,120,Shweta Bhardwaj, +507,Diverse Generation for Multi-Agent Sports Games,,,,,,Wednesday,Oral 2.1C,08:53,Wednesday,Poster 2.1,139,Raymond A. Yeh, +508,Relational Action Forecasting,,,,,,Tuesday,Oral 1.1C,09:18,Tuesday,Poster 1.1,112,Chen Sun, +509,Barrage of Random Transforms for Adversarially Robust Defense,,,,,,Wednesday,Oral 2.2A,14:47,Wednesday,Poster 2.2,38,Edward Raff, +510,Unsupervised Person Image Generation With Semantic Parsing Transformation,,,,,,Tuesday,Oral 1.2B,13:53,Tuesday,Poster 1.2,122,Sijie Song, +511,Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations,,,,,,Wednesday,Oral 2.2B,13:48,Wednesday,Poster 2.2,180,Hao Wu, +512,Few-Shot Learning With Localization in Realistic Settings,,,,,,Wednesday,Oral 2.2A,15:05,Wednesday,Poster 2.2,41,Davis Wertheimer, +513,Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes,,,,,,Thursday,Oral 3.1C,09:06,Thursday,Poster 3.1,61,Xiaogang Wang, +514,GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching,,,,,,Wednesday,Oral 2.1C,09:06,Wednesday,Poster 2.1,141,Simone Melzi, +515,Learning Structure-And-Motion-Aware Rolling Shutter Correction,,,,,,Wednesday,Oral 2.1B,09:47,Wednesday,Poster 2.1,119,Bingbing Zhuang, +516,Do Better ImageNet Models Transfer Better?,,,,,,Tuesday,Oral 1.2C,15:10,Tuesday,Poster 1.2,183,Simon Kornblith, +517,Unsupervised Learning of Dense Shape Correspondence,,,,,,Wednesday,Oral 2.1A,09:29,Wednesday,Poster 2.1,11,Oshri Halimi, +518,Streamlined Dense Video Captioning,,,,,,Wednesday,Oral 2.2B,13:35,Wednesday,Poster 2.2,178,Jonghwan Mun, +519,Auto-Encoding Scene Graphs for Image Captioning,,,,,,Thursday,Oral 3.2A,14:06,Thursday,Poster 3.2,7,Xu Yang, +520,Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network,,,,,,Thursday,Oral 3.1C,09:24,Thursday,Poster 3.1,64,Wenda Zhao, +521,Neural Illumination: Lighting Prediction for Indoor Environments,,,,,,Wednesday,Oral 2.2C,15:05,Wednesday,Poster 2.2,146,Shuran Song, +522,Shapes and Context: In-The-Wild Image Synthesis & Manipulation,,,,,,Tuesday,Oral 1.2B,13:30,Tuesday,Poster 1.2,118,Aayush Bansal, +523,"Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech",,,,,,Thursday,Oral 3.2A,14:11,Thursday,Poster 3.2,8,Aditya Deshpande, +524,"Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model",,,,,,Thursday,Oral 3.1B,08:30,Thursday,Poster 3.1,77,Tian Han, +525,Learning to Synthesize Motion Blur,,,,http://timothybrooks.com/tech/motion-blur/,,Wednesday,Oral 2.2C,14:16,Wednesday,Poster 2.2,138,Tim Brooks,"Tim Brooks, Jonathan T. Barron" +526,Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry,,,,,,Thursday,Oral 3.1A,08:58,Thursday,Poster 3.1,195,Fei Xue, +527,Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search,,,,,,Thursday,Oral 3.1B,09:29,Thursday,Poster 3.1,87,Abhimanyu Dubey, +528,Gaussian Temporal Awareness Networks for Action Localization,,,,,,Tuesday,Oral 1.1C,09:59,Tuesday,Poster 1.1,119,Fuchen Long, +529,Photon-Flooded Single-Photon 3D Cameras,,,,,,Wednesday,Oral 2.2C,13:30,Wednesday,Poster 2.2,130,Anant Gupta, +530,NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences,,,,,,Tuesday,Oral 1.1B,09:54,Tuesday,Poster 1.1,81,Chen Zhao, +531,End-To-End Interpretable Neural Motion Planner,,,,,,Thursday,Oral 3.1A,09:52,Thursday,Poster 3.1,204,Wenyuan Zeng, +532,Learning Spatial Common Sense With Geometry-Aware Recurrent Networks,,,,,,Tuesday,Oral 1.2C,14:29,Tuesday,Poster 1.2,176,Hsiao-Yu Fish Tung, +533,Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image,,,,,,Tuesday,Oral 1.1B,10:04,Tuesday,Poster 1.1,83,Xiaoguang Han, +534,H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions,,,,,,Wednesday,Oral 2.1B,09:24,Wednesday,Poster 2.1,115,Bugra Tekin, +535,d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding,,,,,,Tuesday,Oral 1.2C,13:30,Tuesday,Poster 1.2,166,Xiang Xu, +536,A Sufficient Condition for Convergences of Adam and RMSProp,,,,,,Thursday,Oral 3.2C,14:52,Thursday,Poster 3.2,161,Fangyu Zou, +537,Gait Recognition via Disentangled Representation Learning,,,,,,Wednesday,Oral 2.1C,09:52,Wednesday,Poster 2.1,149,Ziyuan Zhang, +538,Constrained Generative Adversarial Networks for Interactive Image Generation,,,,,,Thursday,Oral 3.2A,14:47,Thursday,Poster 3.2,14,Eric Heim, +539,Unprocessing Images for Learned Raw Denoising,,,,http://timothybrooks.com/tech/unprocessing/,,Thursday,Oral 3.2C,13:58,Thursday,Poster 3.2,152,Tim Brooks,"Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron" +540,Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields,,,,,,Wednesday,Oral 2.1C,08:58,Wednesday,Poster 2.1,140,Yaadhav Raaj, +541,Cross-Modality Personalization for Retrieval,,,,,,Wednesday,Oral 2.2A,13:48,Wednesday,Poster 2.2,28,Nils Murrugarra-Llerena, +542,FML: Face Model Learning From Videos,,,https://mp.weixin.qq.com/s/wxZXVtzgxzBKqWOyt9Godw,http://gvv.mpi-inf.mpg.de/projects/FML19/,,Thursday,Oral 3.2B,13:35,Thursday,Poster 3.2,93,Ayush Tewari,A. Tewari F. Bernard P. Garrido G. Bharaj M. Elgharib H-P. Seidel P. Perez M. Zollh?fer C.Theobalt +543,Learning Joint Gait Representation via Quintuplet Loss Minimization,,,,,,Wednesday,Oral 2.1C,09:47,Wednesday,Poster 2.1,148,Kaihao Zhang, +544,Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation,,,,,,Thursday,Oral 3.2B,14:24,Thursday,Poster 3.2,101,Xipeng Chen, +545,DeepVoxels: Learning Persistent 3D Feature Embeddings,,,,,,Tuesday,Oral 1.2B,14:42,Tuesday,Poster 1.2,130,Vincent Sitzmann, +546,Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification,,,,,,Wednesday,Oral 2.2A,14:29,Wednesday,Poster 2.2,35,Si Wu, +547,Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light,,,,,,Wednesday,Oral 2.1B,08:35,Wednesday,Poster 2.1,107,Yu Zhang, +548,Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera,,,,,,Thursday,Oral 3.2C,13:30,Thursday,Poster 3.2,147,Chao Liu, +549,Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation,,,,,,Tuesday,Oral 1.2C,14:47,Tuesday,Poster 1.2,179,Po-Yi Chen, +550,Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues,,,,,,Thursday,Oral 3.2B,14:34,Thursday,Poster 3.2,103,Natalia Neverova, +551,Inverse Procedural Modeling of Knitwear,,,,,,Thursday,Oral 3.1A,09:34,Thursday,Poster 3.1,201,Elena Trunz, +552,Online High Rank Matrix Completion,,,,,,Thursday,Oral 3.1B,08:40,Thursday,Poster 3.1,79,Jicong Fan, +553,Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation,,,https://mp.weixin.qq.com/s/LsHWkdwqqrOPFgCNNcBdpg,,,Wednesday,Oral 2.2B,13:58,Wednesday,Poster 2.2,182,Xin Wang,"Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang" +554,SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks,,,,,,Tuesday,Oral 1.2C,14:06,Tuesday,Poster 1.2,172,Rene Schuster, +555,Guaranteed Matrix Completion Under Multiple Linear Transformations,,,,,,Thursday,Oral 3.2C,15:00,Thursday,Poster 3.2,162,Chao Li, +556,AutoAugment: Learning Augmentation Strategies From Data,,,,,,Tuesday,Oral 1.1A,10:04,Tuesday,Poster 1.1,12,Ekin D. Cubuk, +557,DeepView: View Synthesis With Learned Gradient Descent,,,,,,Tuesday,Oral 1.2B,13:58,Tuesday,Poster 1.2,123,John Flynn, +558,C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition,,,,,,Tuesday,Oral 1.2A,15:10,Tuesday,Poster 1.2,35,Poojan Oza, +559,Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection,,,,,,Wednesday,Oral 2.2A,13:40,Wednesday,Poster 2.2,27,Hang Xu, +560,A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction,,,,,,Wednesday,Oral 2.2C,13:53,Wednesday,Poster 2.2,134,Shumian Xin, +561,Combining 3D Morphable Models: A Large Scale Face-And-Head Model,,,,,,Thursday,Oral 3.2B,14:47,Thursday,Poster 3.2,105,Stylianos Ploumpis, +562,Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus,,,,,,Thursday,Oral 3.2C,14:47,Thursday,Poster 3.2,160,Thomas Mollenhoff, +563,"Monocular Total Capture: Posing Face, Body, and Hands in the Wild",,,,http://domedb.perception.cs.cmu.edu/monototalcapture.html?,,Thursday,Oral 3.2B,15:05,Thursday,Poster 3.2,108,Donglai Xiang,"Donglai Xiang, Hanbyul Joo, Yaser Sheikh" +564,Deep Sky Modeling for Single Image Outdoor Lighting Estimation,,,,,,Wednesday,Oral 2.2C,15:10,Wednesday,Poster 2.2,147,Yannick Hold-Geoffroy, +565,Transferrable Prototypical Networks for Unsupervised Domain Adaptation,,,,,,Tuesday,Oral 1.2A,14:29,Tuesday,Poster 1.2,28,Yingwei Pan, +566,Learning the Depths of Moving People by Watching Frozen People,,,,,,Wednesday,Oral 2.1B,09:29,Wednesday,Poster 2.1,116,Zhengqi Li, +567,Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks,,,,,,Tuesday,Oral 1.2A,14:34,Tuesday,Poster 1.2,29,Ziliang Chen, +568,Semantic Correlation Promoted Shape-Variant Context for Segmentation,,,,,,Thursday,Oral 3.1C,09:11,Thursday,Poster 3.1,62,Henghui Ding, +569,Pushing the Boundaries of View Extrapolation With Multiplane Images,,,,,,Tuesday,Oral 1.1B,09:28,Tuesday,Poster 1.1,77,Pratul P. Srinivasan, +570,Revealing Scenes by Inverting Structure From Motion Reconstructions,,,,,,Tuesday,Oral 1.1B,09:10,Tuesday,Poster 1.1,74,Francesco Pittaluga, +571,Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope,,,,,,Thursday,Oral 3.2C,14:42,Thursday,Poster 3.2,159,Tolga Birdal, +572,Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology,,,,,,Thursday,Oral 3.1A,08:30,Thursday,Poster 3.1,190,Ke Yan, +573,"Point in, Box Out: Beyond Counting Persons in Crowds",,,,,,Wednesday,Oral 2.2A,14:11,Wednesday,Poster 2.2,32,Yuting Liu, +574,Striking the Right Balance With Uncertainty,,,,,,Tuesday,Oral 1.1A,09:59,Tuesday,Poster 1.1,11,Salman Khan, +575,Strand-Accurate Multi-View Hair Capture,,,,,,Tuesday,Oral 1.1B,09:18,Tuesday,Poster 1.1,75,Giljoo Nam, +576,In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations,,,,,,Thursday,Oral 3.2B,14:29,Thursday,Poster 3.2,102,Ikhsanul Habibie, +577,Blind Visual Motif Removal From a Single Image,,,,,,Wednesday,Oral 2.2C,14:29,Wednesday,Poster 2.2,140,Amir Hertz, +578,Label-Noise Robust Generative Adversarial Networks,,,,,,Tuesday,Oral 1.2B,15:00,Tuesday,Poster 1.2,133,Takuhiro Kaneko, +579,Boosting Local Shape Matching for Dense 3D Face Correspondence,,,,,,Thursday,Oral 3.2B,14:52,Thursday,Poster 3.2,106,Zhenfeng Fan, +580,A Convex Relaxation for Multi-Graph Matching,,,,,,Thursday,Oral 3.2C,15:10,Thursday,Poster 3.2,164,Paul Swoboda, +581,Learning Correspondence From the Cycle-Consistency of Time,,,,https://ajabri.github.io/timecycle/,,Tuesday,Oral 1.2C,14:11,Tuesday,Poster 1.2,173,Xiaolong Wang,"Xiaolong Wang, Allan Jabri, Alexei A. Efros" +582,Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes,,,,,,Tuesday,Oral 1.1C,09:28,Tuesday,Poster 1.1,114,Yuke Li, +583,What Correspondences Reveal About Unknown Camera and Motion Models?,,,,,,Thursday,Oral 3.1B,09:06,Thursday,Poster 3.1,83,Thomas Probst, +584,Long-Term Feature Banks for Detailed Video Understanding,,,,,,Tuesday,Oral 1.1C,09:23,Tuesday,Poster 1.1,113,Chao-Yuan Wu, +585,Deep Metric Learning Beyond Binary Supervision,,,,,,Tuesday,Oral 1.2A,15:00,Tuesday,Poster 1.2,33,Sungyeon Kim, +586,GeoNet: Deep Geodesic Networks for Point Cloud Analysis,,,https://mp.weixin.qq.com/s/2dqw6__2k51B4SSkLYRTfw?,,,Wednesday,Oral 2.2C,14:47,Wednesday,Poster 2.2,143,Tong He,"Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto" +587,Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry,,,,,,Tuesday,Oral 1.1B,09:59,Tuesday,Poster 1.1,82,Matthew Trager, +588,Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks,,,,,,Wednesday,Oral 2.1A,08:53,Wednesday,Poster 2.1,5,Yinpeng Dong, +589,Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling,,,,,,Thursday,Oral 3.1B,08:58,Thursday,Poster 3.1,82,Yuanman Li, +590,HoloPose: Holistic 3D Human Reconstruction In-The-Wild,,,,,,Thursday,Oral 3.2B,14:16,Thursday,Poster 3.2,100,Riza Alp Guler, +591,CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification,,,https://mp.weixin.qq.com/s/68OW_7EIkzCF4HnBVcz6qg,,,Thursday,Oral 3.1B,09:47,Thursday,Poster 3.1,90,Zheng Tang,"Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang" +592,Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration,,,,,,Thursday,Oral 3.1A,08:53,Thursday,Poster 3.1,194,De-An Huang, +593,On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions,,,,,,Tuesday,Oral 1.1A,09:28,Tuesday,Poster 1.1,6,Yusuke Tsuzuku, +594,Structured Knowledge Distillation for Semantic Segmentation,,,https://mp.weixin.qq.com/s/WvYPf7xHu4TtuDan_Hh_pQ,,,Tuesday,Oral 1.2C,14:34,Tuesday,Poster 1.2,177,Yifan Liu,"Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang " +595,Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking,,,,,,Wednesday,Oral 2.1C,09:11,Wednesday,Poster 2.1,142,Andrii Maksai, +596,Balanced Self-Paced Learning for Generative Adversarial Clustering Network,,,,,,Wednesday,Oral 2.1A,09:42,Wednesday,Poster 2.1,13,Kamran Ghasedi, +597,LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation,,,,,,Tuesday,Oral 1.1B,09:46,Tuesday,Poster 1.1,80,Sunok Kim, +598,AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations,,,,,,Thursday,Oral 3.2B,13:40,Thursday,Poster 3.2,94,Xiao Zhang, +599,Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection,,,,,,Wednesday,Oral 2.1A,09:24,Wednesday,Poster 2.1,10,Ruoqi Sun, +600,STEP: Spatio-Temporal Progressive Learning for Video Action Detection,,,,,,Tuesday,Oral 1.1C,09:10,Tuesday,Poster 1.1,111,Xitong Yang, +601,Tangent-Normal Adversarial Regularization for Semi-Supervised Learning,,,,,,Thursday,Oral 3.2A,13:58,Thursday,Poster 3.2,6,Bing Yu, +602,Underexposed Photo Enhancement Using Deep Illumination Estimation,,,,,,Wednesday,Oral 2.2C,14:24,Wednesday,Poster 2.2,139,Ruixing Wang, +603,Deep Tree Learning for Zero-Shot Face Anti-Spoofing,,,,,,Wednesday,Oral 2.1C,09:34,Wednesday,Poster 2.1,146,Yaojie Liu, +604,Multimodal Explanations by Predicting Counterfactuality in Videos,,,,,,Thursday,Oral 3.1A,09:11,Thursday,Poster 3.1,197,Atsushi Kanehira, +605,The Visual Centrifuge: Model-Free Layered Video Representations,,,,,,Tuesday,Oral 1.2B,14:52,Tuesday,Poster 1.2,132,Jean-Baptiste Alayrac, +606,AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs,,,,,,Wednesday,Oral 2.2A,15:10,Wednesday,Poster 2.2,42,Massimiliano Mancini, +607,MeshAdv: Adversarial Meshes for Visual Recognition,,,,,,Wednesday,Oral 2.2C,14:52,Wednesday,Poster 2.2,144,Chaowei Xiao, +608,Incremental Object Learning From Contiguous Views,,,,,,Thursday,Oral 3.1B,09:34,Thursday,Poster 3.1,88,Stefan Stojanov, +609,Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach,,,,,,Tuesday,Oral 1.2C,14:24,Tuesday,Poster 1.2,175,Proteek Chandan Roy, +610,Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss,,,,,,Wednesday,Oral 2.1A,09:16,Wednesday,Poster 2.1,9,Sangil Jung, +611,Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video,,,,,,Thursday,Oral 3.1A,09:42,Thursday,Poster 3.1,202,Zongmian Li, +612,Robust Histopathology Image Analysis: To Label or to Synthesize?,,,,,,Thursday,Oral 3.1A,08:35,Thursday,Poster 3.1,191,Le Hou, +613,BAD SLAM: Bundle Adjusted Direct RGB-D SLAM,,,,,,Tuesday,Oral 1.1B,09:05,Tuesday,Poster 1.1,73,Thomas Schops, +614,Learning Personalized Modular Network Guided by Structured Knowledge,,,,,,Thursday,Oral 3.1C,09:47,Thursday,Poster 3.1,68,Xiaodan Liang, +615,Embodied Question Answering in Photorealistic Environments With Point Cloud Perception,,,,,,Wednesday,Oral 2.2B,14:16,Wednesday,Poster 2.2,185,Erik Wijmans, +616,What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment,,,,,,Tuesday,Oral 1.1C,09:36,Tuesday,Poster 1.1,115,Paritosh Parmar, +617,A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images,,,,,,Wednesday,Oral 2.1B,09:42,Wednesday,Poster 2.1,118,Jiapeng Tang, +618,ContextDesc: Local Descriptor Augmentation With Cross-Modality Context,,,,,,Tuesday,Oral 1.2C,13:48,Tuesday,Poster 1.2,169,Zixin Luo, +619,Adaptive NMS: Refining Pedestrian Detection in a Crowd,,,,,,Wednesday,Oral 2.2A,14:06,Wednesday,Poster 2.2,31,Songtao Liu, +620,Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth,,,,,,Thursday,Oral 3.1C,08:40,Thursday,Poster 3.1,57,Davy Neven, +621,Inverse Path Tracing for Joint Material and Lighting Estimation,,,,,,Tuesday,Oral 1.2B,14:47,Tuesday,Poster 1.2,131,Dejan Azinovic, +622,Adversarial Attacks Beyond the Image Space,,,,,,Wednesday,Oral 2.1A,08:48,Wednesday,Poster 2.1,4,Xiaohui Zeng, +623,Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model,,,,,,Tuesday,Oral 1.1C,09:54,Tuesday,Poster 1.1,118,Weining Wang, +624,High-Quality Face Capture Using Anatomical Muscles,,,,,,Thursday,Oral 3.2B,13:30,Thursday,Poster 3.2,92,Michael Bao, +625,APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs,,,,,,Thursday,Oral 3.2A,14:42,Thursday,Poster 3.2,13,Ran Yi, +626,GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering,,,,,,Wednesday,Oral 2.2B,14:42,Wednesday,Poster 2.2,189,Drew A. Hudson, +627,Panoptic Feature Pyramid Networks,,,,,,Wednesday,Oral 2.2A,13:30,Wednesday,Poster 2.2,25,Alexander Kirillov, +628,Image Deformation Meta-Networks for One-Shot Learning,,,,,,Thursday,Oral 3.1B,08:35,Thursday,Poster 3.1,78,Zitian Chen, +629,Learning Loss for Active Learning,,,,,,Tuesday,Oral 1.1A,09:54,Tuesday,Poster 1.1,10,Donggeun Yoo, +630,Graph Convolutional Tracking,,,,,,Wednesday,Oral 2.1C,09:16,Wednesday,Poster 2.1,143,Junyu Gao, +631,Tell Me Where I Am: Object-Level Scene Context Prediction,,,,,,Tuesday,Oral 1.2C,14:52,Tuesday,Poster 1.2,180,Xiaotian Qiao, +632,Max-Sliced Wasserstein Distance and Its Use for GANs,,,,,,Thursday,Oral 3.2A,13:40,Thursday,Poster 3.2,3,Ishan Deshpande, +633,Composing Text and Image for Image Retrieval - an Empirical Odyssey,,,,,,Wednesday,Oral 2.2A,13:53,Wednesday,Poster 2.2,29,Nam Vo, +634,Residual Networks for Light Field Image Super-Resolution,,,,,,Thursday,Oral 3.2C,14:06,Thursday,Poster 3.2,153,Shuo Zhang, +635,Explainability Methods for Graph Convolutional Neural Networks,,,,,,Thursday,Oral 3.2A,15:00,Thursday,Poster 3.2,16,Phillip E. Pope, +636,Argoverse: 3D Tracking and Forecasting With Rich Maps,,,,,,Thursday,Oral 3.1B,09:16,Thursday,Poster 3.1,85,Ming-Fang Chang, +637,SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates,,,,,,Thursday,Oral 3.2A,15:10,Thursday,Poster 3.2,18,Martin Engilberge, +638,"""Double-DIP"": Unsupervised Image Decomposition via Coupled Deep-Image-Priors",,,,,,Thursday,Oral 3.2C,13:53,Thursday,Poster 3.2,151,Yosef Gandelsman, +639,Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval,,,,,,Tuesday,Oral 1.2A,13:53,Tuesday,Poster 1.2,22,Sounak Dey, +640,Cascaded Projection: End-To-End Network Compression and Acceleration,,,,,,Thursday,Oral 3.2A,14:24,Thursday,Poster 3.2,10,Breton Minnehan, +641,High Flux Passive Imaging With Single-Photon Sensors,,,,,,Wednesday,Oral 2.2C,13:35,Wednesday,Poster 2.2,131,Atul Ingle, +642,A Generative Adversarial Density Estimator,,,,,,Thursday,Oral 3.2A,15:05,Thursday,Poster 3.2,17,M. Ehsan Abbasnejad, +643,Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects,,,,,,Wednesday,Oral 2.2A,14:34,Wednesday,Poster 2.2,36,Yusuke Niitani, +644,Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising,,,,,,Wednesday,Oral 2.2C,14:34,Wednesday,Poster 2.2,141,Wei He, +645,Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering,,,,,,Wednesday,Oral 2.2B,14:06,Wednesday,Poster 2.2,183,Peng Gao, +646,Unsupervised Part-Based Disentangling of Object Shape and Appearance,,,,,,Thursday,Oral 3.2B,15:00,Thursday,Poster 3.2,107,Dominik Lorenz, +647,Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation,,,,,,Wednesday,Oral 2.2A,13:58,Wednesday,Poster 2.2,30,Xiaobing Wang, +648,CollaGAN: Collaborative GAN for Missing Image Data Imputation,,,,,,Tuesday,Oral 1.2B,15:10,Tuesday,Poster 1.2,135,Dongwook Lee, +649,Semantics Disentangling for Text-To-Image Generation,,,,,,Tuesday,Oral 1.2B,13:35,Tuesday,Poster 1.2,119,Guojun Yin, +650,Two Body Problem: Collaborative Visual Task Completion,,,https://prior.allenai.org/projects/two-body-problem,,,Wednesday,Oral 2.2B,14:34,Wednesday,Poster 2.2,188,Unnat Jain,"Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi" +651,3D Shape Reconstruction From Images in the Frequency Domain,,,,,,Wednesday,Oral 2.1B,08:58,Wednesday,Poster 2.1,111,Weichao Shen, +652,Fast Spatially-Varying Indoor Lighting Estimation,,,,,,Wednesday,Oral 2.2C,15:00,Wednesday,Poster 2.2,145,Mathieu Garon, +653,Steady-State Non-Line-Of-Sight Imaging,,,,,,Wednesday,Oral 2.2C,13:48,Wednesday,Poster 2.2,133,Wenzheng Chen, +654,SFNet: Learning Object-Aware Semantic Correspondence,,,,,,Tuesday,Oral 1.2A,14:52,Tuesday,Poster 1.2,32,Junghyup Lee, +655,Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping,,,,,,Tuesday,Oral 1.2B,14:34,Tuesday,Poster 1.2,129,Huan Fu, +656,Gradient Matching Generative Networks for Zero-Shot Learning,,,,,,Tuesday,Oral 1.2A,13:48,Tuesday,Poster 1.2,21,Mert Bulent Sariyildiz, +657,Finding Task-Relevant Features for Few-Shot Learning by Category Traversal,,,,,,Tuesday,Oral 1.1A,09:00,Tuesday,Poster 1.1,1,Hongyang Li, +658,Look Back and Predict Forward in Image Captioning,,,,,,,,,Wednesday,Poster 2.2,201,Yu Qin, +659,Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors,,,,,,,,,Thursday,Poster 3.1,26,Mohammad Mahdi Derakhshani, +660,Group Sampling for Scale Invariant Face Detection,,,,,,,,,Tuesday,Poster 1.2,97,Xiang Ming, +661,Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN,,,,,,,,,Tuesday,Poster 1.1,89,Shiyi Lan, +662,Domain-Specific Batch Normalization for Unsupervised Domain Adaptation,,,,,,,,,Wednesday,Poster 2.2,62,Woong-Gi Chang, +663,Radial Distortion Triangulation,,,,,,,,,Thursday,Poster 3.1,105,Zuzana Kukelova, +664,Polarimetric Camera Calibration Using an LCD Monitor,,,,,,,,,Tuesday,Poster 1.2,145,Zhixiang Wang, +665,Towards High-Fidelity Nonlinear 3D Face Morphable Model,,,,http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html?,,,,,Tuesday,Poster 1.1,102,Luan Tran,"Luan Tran, Feng Liu, Xiaoming Liu" +666,Towards Instance-Level Image-To-Image Translation,,,,,,,,,Tuesday,Poster 1.2,139,Zhiqiang Shen, +667,Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching,,,,,,,,,Wednesday,Poster 2.1,162,Yu Zhang, +668,Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks,,,,,,,,,Wednesday,Poster 2.2,59,N. Dinesh Reddy, +669,Co-Occurrence Neural Network,,,,,,,,,Wednesday,Poster 2.1,24,Irina Shevlev, +670,Learning to Film From Professional Human Motion Videos,,,,,,,,,Tuesday,Poster 1.2,214,Chong Huang, +671,Stochastic Class-Based Hard Example Mining for Deep Metric Learning,,,,,,,,,Wednesday,Poster 2.2,51,Yumin Suh, +672,Modularized Textual Grounding for Counterfactual Resilience,,,,,,,,,Wednesday,Poster 2.1,215,Zhiyuan Fang, +673,Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis,,,,,,,,,Thursday,Poster 3.2,116,Yu Yu, +674,Global Second-Order Pooling Convolutional Networks,,,,,,,,,Tuesday,Poster 1.2,55,Zilin Gao, +675,Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation,,,,,,,,,Tuesday,Poster 1.1,18,Bohan Zhuang, +676,Revisiting Perspective Information for Efficient Crowd Counting,,,,,,,,,Wednesday,Poster 2.2,54,Miaojing Shi, +677,Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager,,,,,,,,,Thursday,Poster 3.2,143,Yuanyuan Zhao, +678,Joint Face Detection and Facial Motion Retargeting for Multiple Faces,,,,,,,,,Thursday,Poster 3.1,109,Bindita Chaudhuri, +679,Character Region Awareness for Text Detection,,,,,,,,,Thursday,Poster 3.1,43,Youngmin Baek, +680,Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras,,,,,,,,,Thursday,Poster 3.2,80,Thiago L. T. da Silveira, +681,R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network,,,,,,,,,Thursday,Poster 3.2,51,Bin Zhu, +682,Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance,,,,,,,,,Wednesday,Poster 2.1,89,Nanyang Ye, +683,Local Detection of Stereo Occlusion Boundaries,,,,,,,,,Tuesday,Poster 1.2,153,Jialiang Wang, +684,Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification,,,,,,,,,Wednesday,Poster 2.1,36,Yiru Zhao, +685,NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection,,,,,,,,,Wednesday,Poster 2.2,11,Golnaz Ghiasi, +686,Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection,,,,,,,,,Thursday,Poster 3.2,114,Xuesong Niu, +687,SimulCap : Single-View Human Performance Capture With Cloth Simulation,,,,,,,,,Wednesday,Poster 2.1,96,Tao Yu, +688,Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture,,,,,,,,,Thursday,Poster 3.2,139,Ning Yu, +689,Convolutional Relational Machine for Group Activity Recognition,,,,,,,,,Wednesday,Poster 2.2,117,Sina Mokhtarzadeh Azar, +690,Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery,,,,,,,,,Thursday,Poster 3.1,212,Ries Uittenbogaard, +691,PMS-Net: Robust Haze Removal Based on Patch Map for Single Images,,,,,,,,,Thursday,Poster 3.2,72,Wei-Ting Chen, +692,CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency,,,,,,,,,Tuesday,Poster 1.1,181,Yun-Chun Chen, +693,Focus Is All You Need: Loss Functions for Event-Based Vision,,,,,,,,,Thursday,Poster 3.2,169,Guillermo Gallego, +694,TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions,,,,,,,,,Wednesday,Poster 2.2,213,Rohan Chandra, +695,Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks,,,,,,,,,Tuesday,Poster 1.1,198,Peng Wang, +696,Attention-Guided Network for Ghost-Free High Dynamic Range Imaging,,,,,,,,,Tuesday,Poster 1.1,177,Qingsen Yan, +697,Grounding Human-To-Vehicle Advice for Self-Driving Vehicles,,,,,,,,,Thursday,Poster 3.1,213,Jinkyu Kim, +698,Divergence Prior and Vessel-Tree Reconstruction,,,,,,,,,Thursday,Poster 3.1,160,Zhongwen Zhang, +699,Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions,,,,,,,,,Wednesday,Poster 2.2,210,Joey Hong, +700,TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning,,,,,,,,,Thursday,Poster 3.1,3,Matthew Amodio, +701,IRLAS: Inverse Reinforcement Learning for Architecture Search,,,,,,,,,Thursday,Poster 3.1,7,Minghao Guo, +702,Scene Categorization From Contours: Medial Axis Based Salience Measures,,,,,,,,,Tuesday,Poster 1.2,201,Morteza Rezanejad, +703,Single Image Depth Estimation Trained via Depth From Defocus Cues,,,,,,,,,Wednesday,Poster 2.2,96,Shir Gur, +704,MBS: Macroblock Scaling for CNN Model Reduction,,,,,,,,,Thursday,Poster 3.1,17,Yu-Hsun Lin, +705,Deep Asymmetric Metric Learning via Rich Relationship Mining,,,,,,,,,Tuesday,Poster 1.2,197,Xinyi Xu, +706,GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud,,,,,,,,,Tuesday,Poster 1.2,184,Li Yi, +707,Engaging Image Captioning via Personality,,,,,,,,,Thursday,Poster 3.2,193,Kurt Shuster, +708,Quasi-Unsupervised Color Constancy,,,,,,,,,Thursday,Poster 3.2,144,Simone Bianco, +709,Typography With Decor: Intelligent Text Style Transfer,,,,,,,,,Wednesday,Poster 2.1,165,Wenjing Wang, +710,Convolutional Neural Networks Can Be Deceived by Visual Illusions,,,,,,,,,Thursday,Poster 3.2,172,Alexander Gomez-Villa, +711,Label Propagation for Deep Semi-Supervised Learning,,,,,,,,,Wednesday,Poster 2.1,52,Ahmet Iscen, +712,Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring,,,,,,,,,Wednesday,Poster 2.2,156,Seungjun Nah, +713,Deep Flow-Guided Video Inpainting,,,,,,,,,Tuesday,Poster 1.2,143,Rui Xu, +714,End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image,,,,,,,,,Tuesday,Poster 1.1,142,Seonghyeon Nam, +715,Face Parsing With RoI Tanh-Warping,,,,,,,,,Wednesday,Poster 2.1,126,Jinpeng Lin, +716,Dichromatic Model Based Temporal Color Constancy for AC Light Sources,,,,,,,,,Thursday,Poster 3.2,174,Jun-Sang Yoo, +717,Snapshot Distillation: Teacher-Student Optimization in One Generation,,,,,,,,,Tuesday,Poster 1.2,38,Chenglin Yang, +718,Large Scale Incremental Learning,,,,,,,,,Tuesday,Poster 1.1,14,Yue Wu, +719,Variational Autoencoders Pursue PCA Directions (by Accident),,,,,,,,,Thursday,Poster 3.2,182,Michal Rolinek, +720,SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images,,,,,,,,,Thursday,Poster 3.1,24,Yeonkun Lee, +721,Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition,,,,,,,,,Tuesday,Poster 1.2,86,Lin Xu, +722,EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors,,,,,,,,,Wednesday,Poster 2.1,213,Yanxiang Wang, +723,Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition,,,,,,,,,Tuesday,Poster 1.1,207,Zizhao Zhang, +724,Cross-Modal Self-Attention Network for Referring Image Segmentation,,,,,,,,,Thursday,Poster 3.1,189,Linwei Ye, +725,Residual Regression With Semantic Prior for Crowd Counting,,,,,,,,,Tuesday,Poster 1.2,193,Jia Wan, +726,LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving,,,,,,,,,Thursday,Poster 3.2,209,Gregory P. Meyer, +727,VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points,,,,,,,,,Thursday,Poster 3.1,101,Masashi Yokozuka, +728,Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning,,,,,,,,,Thursday,Poster 3.2,79,Mahdi S. Hosseini, +729,ROI Pooled Correlation Filters for Visual Tracking,,,,,,,,,Wednesday,Poster 2.1,154,Yuxuan Sun, +730,Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation,,,,,,,,,Tuesday,Poster 1.2,3,Chunlei Liu, +731,Attention-Guided Unified Network for Panoptic Segmentation,,,https://mp.weixin.qq.com/s/1tohID6SM3weS476XU5okw?,,,,,,Wednesday,Poster 2.2,10,Yanwei Li,"Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang" +732,Intention Oriented Image Captions With Guiding Objects,,,,,,,,,Wednesday,Poster 2.2,204,Yue Zheng, +733,Weakly Supervised Video Moment Retrieval From Text Queries,,,,,,,,,Thursday,Poster 3.2,63,Niluthpol Chowdhury Mithun, +734,Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features,,,,,,,,,Thursday,Poster 3.1,44,Vlad Hosu, +735,AANet: Attribute Attention Network for Person Re-Identifications,,,,,,,,,Wednesday,Poster 2.2,21,Chiat-Pin Tay, +736,Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition,,,,,,,,,Tuesday,Poster 1.1,41,Xiaofeng Liu, +737,Interaction-And-Aggregation Network for Person Re-Identification,,,,,,,,,Thursday,Poster 3.1,38,Ruibing Hou, +738,Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach,,,,,,,,,Tuesday,Poster 1.2,90,Amir Atapour-Abarghouei, +739,Photo Wake-Up: 3D Character Animation From a Single Photo,,,,,,,,,Wednesday,Poster 2.1,167,Chung-Yi Weng, +740,Adversarial Defense by Stratified Convolutional Sparse Coding,,,,,,,,,Thursday,Poster 3.2,48,Bo Sun, +741,Customizable Architecture Search for Semantic Segmentation,,,,,,,,,Thursday,Poster 3.2,68,Yiheng Zhang, +742,Neuro-Inspired Eye Tracking With Eye Movement Dynamics,,,,,,,,,Thursday,Poster 3.1,120,Kang Wang, +743,On Learning Density Aware Embeddings,,,,,,,,,Wednesday,Poster 2.1,33,Soumyadeep Ghosh, +744,Accelerating Convolutional Neural Networks via Activation Map Compression,,,,,,,,,Wednesday,Poster 2.2,16,Georgios Georgiadis, +745,Characterizing and Avoiding Negative Transfer,,,,,,,,,Thursday,Poster 3.2,32,Zirui Wang, +746,Weakly Supervised Image Classification Through Noise Regularization,,,,,,,,,Thursday,Poster 3.2,55,Mengying Hu, +747,Attentive Feedback Network for Boundary-Aware Salient Object Detection,,,,,,,,,Tuesday,Poster 1.1,164,Mengyang Feng, +748,You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection,,,,,,,,,Thursday,Poster 3.1,48,Krishna Kumar Singh, +749,On Implicit Filter Level Sparsity in Convolutional Neural Networks,,,,,,,,,Tuesday,Poster 1.1,29,Dushyant Mehta, +750,T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor,,,,,,,,,Wednesday,Poster 2.2,110,Jean Kossaifi, +751,Learning Binary Code for Personalized Fashion Recommendation,,,,,,,,,Thursday,Poster 3.1,210,Zhi Lu, +752,Hyperspectral Image Super-Resolution With Optimized RGB Guidance,,,,,,,,,Thursday,Poster 3.2,70,Ying Fu, +753,Learning Active Contour Models for Medical Image Segmentation,,,,,,,,,Thursday,Poster 3.2,67,Xu Chen, +754,Graph Attention Convolution for Point Cloud Semantic Segmentation,,,,,,,,,Thursday,Poster 3.1,168,Lei Wang, +755,Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation,,,,,,,,,Thursday,Poster 3.2,136,Artur Grigorev, +756,Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View,,,,,,,,,Wednesday,Poster 2.1,27,Jiayang Liu, +757,A Parametric Top-View Representation of Complex Road Scenes,,,,,,,,,Thursday,Poster 3.1,171,Ziyan Wang, +758,Unsupervised Learning of Consensus Maximization for 3D Vision Problems,,,,,,,,,Tuesday,Poster 1.1,70,Thomas Probst, +759,LVIS: A Dataset for Large Vocabulary Instance Segmentation,,,,,,,,,Wednesday,Poster 2.1,81,Agrim Gupta, +760,Triangulation Learning Network: From Monocular to Stereo 3D Object Detection,,,,,,,,,Wednesday,Poster 2.2,89,Zengyi Qin, +761,Audio Visual Scene-Aware Dialog,,,,,,,,,Wednesday,Poster 2.2,83,Huda Alamri, +762,Graph-Based Global Reasoning Networks,,,,,,,,,Tuesday,Poster 1.1,20,Yunpeng Chen, +763,Adversarial Structure Matching for Structured Prediction Tasks,,,,,,,,,Tuesday,Poster 1.2,195,Jyh-Jing Hwang, +764,"Face Anti-Spoofing: Model Matters, so Does Data",,,,,,,,,Tuesday,Poster 1.2,103,Xiao Yang, +765,Unsupervised Domain-Specific Deblurring via Disentangled Representations,,,,,,,,,Thursday,Poster 3.1,161,Boyu Lu, +766,Propagation Mechanism for Deep and Wide Neural Networks,,,,,,,,,Thursday,Poster 3.1,28,Dejiang Xu, +767,MirrorGAN: Learning Text-To-Image Generation by Redescription,,,,,,,,,Tuesday,Poster 1.1,152,Tingting Qiao,"Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao" +768,What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions,,,,,,,,,Tuesday,Poster 1.2,205,Ehsan Abbasnejad, +769,Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering,,,,,,,,,Tuesday,Poster 1.1,96,Seungryul Baek, +770,Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing,,,,,,,,,Tuesday,Poster 1.1,197,Xihui Liu, +771,ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness,,,,,,,,,Wednesday,Poster 2.2,6,Rajkumar Theagarajan, +772,Semi-Supervised Transfer Learning for Image Rain Removal,,,,,,,,,Tuesday,Poster 1.2,159,Wei Wei, +773,Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering,,,,,,,,,Wednesday,Poster 2.2,163,Jari Korhonen, +774,Layout-Graph Reasoning for Fashion Landmark Detection,,,,,,,,,Tuesday,Poster 1.2,46,Weijiang Yu, +775,RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices,,,,,,,,,Wednesday,Poster 2.2,58,Chong Peng, +776,Using Unknown Occluders to Recover Hidden Scenes,,,,,,,,,Thursday,Poster 3.2,146,Adam B. Yedidia, +777,Learning Unsupervised Video Object Segmentation Through Visual Attention,,,,,,,,,Tuesday,Poster 1.2,59,Wenguan Wang, +778,Turn a Silicon Camera Into an InGaAs Camera,,,,,,,,,Wednesday,Poster 2.1,175,Feifan Lv, +779,Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering,,,,,,,,,Thursday,Poster 3.1,52,Chen Zhang, +780,D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation,,,,,,,,,Tuesday,Poster 1.2,107,Chien-Yi Chang, +781,Learning Channel-Wise Interactions for Binary Convolutional Neural Networks,,,,,,,,,Tuesday,Poster 1.1,34,Ziwei Wang, +782,Deep Multimodal Clustering for Unsupervised Audiovisual Learning,,,,,,,,,Thursday,Poster 3.1,31,Di Hu, +783,Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting,,,,,,,,,Thursday,Poster 3.2,215,Muming Zhao, +784,AdaFrame: Adaptive Frame Selection for Fast Video Recognition,,,,,,,,,Tuesday,Poster 1.1,129,Zuxuan Wu, +785,World From Blur,,,,,,,,,Wednesday,Poster 2.2,214,Jiayan Qiu, +786,EventNet: Asynchronous Recursive Event Processing,,,,,,,,,Tuesday,Poster 1.2,160,Yusuke Sekikawa, +787,Towards Accurate One-Stage Object Detection With AP-Loss,,,,,,,,,Wednesday,Poster 2.1,57,Kean Chen, +788,Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization,,,,,,,,,Tuesday,Poster 1.1,131,Daochang Liu, +789,Progressive Feature Alignment for Unsupervised Domain Adaptation,,,,,,,,,Tuesday,Poster 1.1,40,Chaoqi Chen, +790,Domain-Symmetric Networks for Adversarial Domain Adaptation,,,,,,,,,Wednesday,Poster 2.1,48,Yabin Zhang, +791,Multi-Granularity Generator for Temporal Action Proposal,,,,,,,,,Tuesday,Poster 1.2,113,Yuan Liu, +792,Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks,,,,,,,,,Thursday,Poster 3.1,15,Jorg Wagner, +793,Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up,,,,,,,,,Tuesday,Poster 1.2,56,Weifeng Ge, +794,Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning,,,,,,,,,Thursday,Poster 3.2,50,Bin Tong, +795,Classification-Reconstruction Learning for Open-Set Recognition,,,,,,,,,Tuesday,Poster 1.2,191,Ryota Yoshihashi, +796,A Variational Pan-Sharpening With Local Gradient Constraints,,,,,,,,,Thursday,Poster 3.1,165,Xueyang Fu, +797,Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors,,,,,,,,,Wednesday,Poster 2.1,157,Yedid Hoshen, +798,An End-To-End Network for Panoptic Segmentation,,,,,,,,,Wednesday,Poster 2.1,194,Huanyu Liu, +799,ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images,,,,,,,,,Wednesday,Poster 2.1,214,Zhiming Cui, +800,Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network,,,,,,,,,Thursday,Poster 3.1,174,Xianglei Xing, +801,A Variational Auto-Encoder Model for Stochastic Point Processes,,,,,,,,,Tuesday,Poster 1.2,69,Nazanin Mehrasa, +802,Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation,,,,,,,,,Tuesday,Poster 1.1,47,Yunhang Shen, +803,RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection,,,,,,,,,Wednesday,Poster 2.1,65,Leonid Karlinsky, +804,Deep ChArUco: Dark ChArUco Marker Pose Estimation,,,,,,,,,Wednesday,Poster 2.2,208,Danying Hu, +805,Learning-Based Sampling for Natural Image Matting,,,,,,,,,Tuesday,Poster 1.2,58,Jingwei Tang, +806,Actively Seeking and Learning From Live Data,,,,,,,,,Tuesday,Poster 1.1,196,Damien Teney, +807,Depth Coefficients for Depth Completion,,,,,,,,,Thursday,Poster 3.2,186,Saif Imran, +808,PDE Acceleration for Active Contours,,,,,,,,,Thursday,Poster 3.2,173,Anthony Yezzi, +809,On the Intrinsic Dimensionality of Image Representations,,,,,,,,,Tuesday,Poster 1.2,188,Sixue Gong, +810,PA3D: Pose-Action 3D Machine for Video Recognition,,,,,,,,,Wednesday,Poster 2.2,120,An Yan, +811,UniformFace: Learning Deep Equidistributed Representation for Face Recognition,,,,,,,,,Tuesday,Poster 1.2,94,Yueqi Duan, +812,Direct Object Recognition Without Line-Of-Sight Using Optical Coherence,,,,,,,,,Thursday,Poster 3.2,78,Xin Lei, +813,Deep Dual Relation Modeling for Egocentric Interaction Recognition,,,,,,,,,Wednesday,Poster 2.2,121,Haoxin Li, +814,Learning Independent Object Motion From Unlabelled Stereoscopic Videos,,,,,,,,,Wednesday,Poster 2.1,105,Zhe Cao, +815,Spectral Metric for Dataset Complexity Assessment,,,,,,,,,Tuesday,Poster 1.2,74,Frederic Branchaud-Charron, +816,Progressive Ensemble Networks for Zero-Shot Recognition,,,,,,,,,Thursday,Poster 3.2,77,Meng Ye, +817,Frame-Consistent Recurrent Video Deraining With Dual-Level Flow,,,,,,,,,Tuesday,Poster 1.1,168,Wenhan Yang, +818,Grid R-CNN,,,,,,,,,Wednesday,Poster 2.2,63,Xin Lu, +819,Spatial-Aware Graph Relation Network for Large-Scale Object Detection,,,,,,,,,Thursday,Poster 3.1,36,Hang Xu, +820,3DN: 3D Deformation Network,,,,,,,,,Tuesday,Poster 1.1,93,Weiyue Wang, +821,Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics,,,,,,,,,Wednesday,Poster 2.2,207,Yaron Meirovitch, +822,ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model,,,,,,,,,Thursday,Poster 3.2,23,Haichuan Yang, +823,Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces,,,,,,,,,Wednesday,Poster 2.1,153,Guodong Mu, +824,MSCap: Multi-Style Image Captioning With Unpaired Stylized Text,,,,,,,,,Tuesday,Poster 1.2,210,Longteng Guo, +825,On Stabilizing Generative Adversarial Training With Noise,,,,,,,,,Thursday,Poster 3.2,137,Simon Jenni, +826,DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition,,,,,,,,,Wednesday,Poster 2.2,113,Toby Perrett, +827,Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration,,,,,,,,,Wednesday,Poster 2.1,85,Shuhan Tan, +828,MARS: Motion-Augmented RGB Stream for Action Recognition,,,,,,,,,Wednesday,Poster 2.2,116,Nieves Crasto, +829,Less Is More: Learning Highlight Detection From Video Duration,,,,,,,,,Tuesday,Poster 1.1,127,Bo Xiong, +830,3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis,,,,,,,,,Wednesday,Poster 2.2,95,Xiaojuan Qi, +831,Distraction-Aware Shadow Detection,,,,,,,,,Wednesday,Poster 2.1,62,Quanlong Zheng, +832,Unifying Heterogeneous Classifiers With Distillation,,,,,,,,,Tuesday,Poster 1.2,70,Jayakorn Vongkulbhisal, +833,Self-Supervised Representation Learning by Rotation Feature Decoupling,,,,,,,,,Thursday,Poster 3.1,175,Zeyu Feng, +834,Compressing Convolutional Neural Networks via Factorized Convolutional Filters,,,,,,,,,Tuesday,Poster 1.2,187,Tuanhui Li, +835,Discovering Fair Representations in the Data Domain,,,,,,,,,Wednesday,Poster 2.2,169,Novi Quadrianto, +836,"Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation",,,,,,,,,Tuesday,Poster 1.2,200,Zhenyu Zhang, +837,Speech2Face: Learning the Face Behind a Voice,,,,,,,,,Wednesday,Poster 2.2,81,Tae-Hyun Oh, +838,Informative Object Annotations: Tell Me Something I Don't Know,,,,,,,,,Thursday,Poster 3.2,192,Lior Bracha, +839,DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis,,,,,,,,,Wednesday,Poster 2.1,156,Minfeng Zhu, +840,Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild,,,,,,,,,Tuesday,Poster 1.2,1,Luan Tran, +841,3D Local Features for Direct Pairwise Registration,,,,,,,,,Tuesday,Poster 1.2,77,Haowen Deng, +842,Unsupervised Primitive Discovery for Improved 3D Generative Modeling,,,,,,,,,Thursday,Poster 3.1,111,Salman H. Khan, +843,Learning to Minify Photometric Stereo,,,,,,,,,Wednesday,Poster 2.2,84,Junxuan Li, +844,Learning to Calibrate Straight Lines for Fisheye Image Rectification,,,,,,,,,Tuesday,Poster 1.1,166,Zhucun Xue, +845,Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net,,,,,,,,,Tuesday,Poster 1.1,160,Qi Xie, +846,Explore-Exploit Graph Traversal for Image Retrieval,,,,,,,,,Thursday,Poster 3.1,49,Cheng Chang, +847,Selective Sensor Fusion for Neural Visual-Inertial Odometry,,,,,,,,,Thursday,Poster 3.1,208,Changhao Chen, +848,SpotTune: Transfer Learning Through Adaptive Fine-Tuning,,,,,,,,,Wednesday,Poster 2.1,25,Yunhui Guo, +849,Learning a Deep ConvNet for Multi-Label Classification With Partial Labels,,,,,,,,,Tuesday,Poster 1.1,42,Thibaut Durand, +850,Visual Question Answering as Reading Comprehension,,,,,,,,,Wednesday,Poster 2.1,209,Hui Li, +851,Densely Semantically Aligned Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,44,Zhizheng Zhang, +852,Distilled Person Re-Identification: Towards a More Scalable System,,,,,,,,,Tuesday,Poster 1.1,108,Ancong Wu, +853,Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras,,,,,,,,,Thursday,Poster 3.1,163,Jacques Manderscheid, +854,EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch,,,,,,,,,Thursday,Poster 3.1,11,Jian Ren, +855,Weakly Supervised Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,53,Jingke Meng, +856,Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views,,,,,,,,,Thursday,Poster 3.2,212,Kun Huang, +857,How to Make a Pizza: Learning a Compositional Layer-Based GAN Model,,,,,,,,,Wednesday,Poster 2.2,128,Dim P. Papadopoulos, +858,Few-Shot Learning via Saliency-Guided Hallucination of Samples,,,,,,,,,Tuesday,Poster 1.2,11,Hongguang Zhang, +859,Triply Supervised Decoder Networks for Joint Detection and Segmentation,,,,,,,,,Wednesday,Poster 2.2,66,Jiale Cao, +860,OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge,,,,,,,,,Tuesday,Poster 1.2,72,Kenneth Marino, +861,Dynamic Recursive Neural Network,,,,,,,,,Wednesday,Poster 2.1,60,Qiushan Guo, +862,Fully Learnable Group Convolution for Acceleration of Deep Neural Networks,,,,,,,,,Thursday,Poster 3.1,10,Xijun Wang, +863,Sea-Thru: A Method for Removing Water From Underwater Images,,,,,,,,,Tuesday,Poster 1.1,170,Derya Akkaynak, +864,Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack,,,,,,,,,Tuesday,Poster 1.1,36,Zhezhi He, +865,CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning,,,,,,,,,Wednesday,Poster 2.1,67,Chi Zhang, +866,The Domain Transform Solver,,,,,,,,,Wednesday,Poster 2.1,178,Akash Bapat, +867,A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes,,,,,,,,,Thursday,Poster 3.2,183,Lichao Mou, +868,Attending to Discriminative Certainty for Domain Adaptation,,,,,,,,,Tuesday,Poster 1.1,26,Vinod Kumar Kurmi, +869,X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks,,,,,,,,,Thursday,Poster 3.1,216,Xingde Ying, +870,SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations,,,,,,,,,Thursday,Poster 3.2,82,Shuaifeng Zhi, +871,Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation,,,,,,,,,Thursday,Poster 3.2,47,Zhezhi He, +872,A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition,,,,,,,,,Thursday,Poster 3.2,126,Xuan Son Nguyen, +873,Hybrid Scene Compression for Visual Localization,,,,,,,,,Wednesday,Poster 2.2,93,Federico Camposeco, +874,Face-Focused Cross-Stream Network for Deception Detection in Videos,,,,,,,,,Wednesday,Poster 2.2,108,Mingyu Ding, +875,SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization,,,,,,,,,Thursday,Poster 3.2,24,Shijie Cao, +876,Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks,,,,,,,,,Thursday,Poster 3.2,31,Seungjoo Yoo, +877,Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning,,,,,,,,,Wednesday,Poster 2.2,71,Loic Landrieu, +878,Biologically-Constrained Graphs for Global Connectomics Reconstruction,,,,,,,,,Tuesday,Poster 1.1,211,Brian Matejek, +879,Learning Image and Video Compression Through Spatial-Temporal Energy Compaction,,,,,,,,,Thursday,Poster 3.1,145,Zhengxue Cheng, +880,A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring,,,,,,,,,Thursday,Poster 3.1,155,Liuge Yang, +881,SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation - A Synthetic Dataset and Baselines,,,,,,,,,Tuesday,Poster 1.2,63,Yuan-Ting Hu, +882,Skeleton-Based Action Recognition With Directed Graph Neural Networks,,,,,,,,,Wednesday,Poster 2.2,119,Lei Shi, +883,SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking,,,,,,,,,Tuesday,Poster 1.2,117,Guangting Wang, +884,Beyond Volumetric Albedo -- A Surface Optimization Framework for Non-Line-Of-Sight Imaging,,,,,,,,,Tuesday,Poster 1.1,156,Chia-Yin Tsai, +885,What Do Single-View 3D Reconstruction Networks Learn?,,,,,,,,,Tuesday,Poster 1.2,93,Maxim Tatarchenko, +886,Collaborative Spatiotemporal Feature Learning for Video Action Recognition,,,,,,,,,Wednesday,Poster 2.2,115,Chao Li, +887,Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms,,,,,,,,,Wednesday,Poster 2.1,176,Canyi Lu, +888,Kernel Transformer Networks for Compact Spherical Convolution,,,,,,,,,Thursday,Poster 3.1,51,Yu-Chuan Su, +889,Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface,,,,,,,,,Wednesday,Poster 2.1,191,Shiwei Li, +890,DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality,,,,,,,,,Wednesday,Poster 2.1,168,Chloe LeGendre, +891,Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks,,,,,,,,,Thursday,Poster 3.2,110,Yunfan Liu, +892,"Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map",,,,,,,,,Wednesday,Poster 2.2,65,Janine Thoma, +893,Interactive Full Image Segmentation by Considering All Regions Jointly,,,,,,,,,Thursday,Poster 3.2,66,Eirikur Agustsson, +894,A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning,,,,,,,,,Thursday,Poster 3.1,179,Thanh-Toan Do, +895,Answer Them All! Toward Universal Visual Question Answering Models,,,,,,,,,Thursday,Poster 3.1,186,Robik Shrestha, +896,Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections,,,,,,,,,Tuesday,Poster 1.2,156,Hongyun Gao, +897,Rethinking the Evaluation of Video Summaries,,,,,,,,,Wednesday,Poster 2.2,87,Mayu Otani, +898,R3 Adversarial Network for Cross Model Face Recognition,,,,,,,,,Thursday,Poster 3.1,124,Ken Chen, +899,Deep Global Generalized Gaussian Networks,,,,,,,,,Wednesday,Poster 2.1,53,Qilong Wang, +900,Toward Realistic Image Compositing With Adversarial Learning,,,,,,,,,Wednesday,Poster 2.2,206,Bor-Chun Chen, +901,Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information,,,,,,,,,Wednesday,Poster 2.1,128,Kai Su, +902,"See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks",,,,,,,,,Tuesday,Poster 1.2,115,Xiankai Lu, +903,Exploiting Edge Features for Graph Neural Networks,,,,,,,,,Thursday,Poster 3.1,27,Liyu Gong, +904,Versatile Multiple Choice Learning and Its Application to Vision Computing,,,,,,,,,Wednesday,Poster 2.1,212,Kai Tian, +905,Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion,,,,,,,,,Wednesday,Poster 2.1,80,Suryansh Kumar, +906,Semi-Supervised Learning With Graph Learning-Convolutional Networks,,,,,,,,,Thursday,Poster 3.2,34,Bo Jiang, +907,Scene Graph Generation With External Knowledge and Image Reconstruction,,,,,,,,,Tuesday,Poster 1.1,199,Jiuxiang Gu, +908,Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data,,,,,,,,,Thursday,Poster 3.2,214,Caleb Robinson, +909,Re-Identification With Consistent Attentive Siamese Networks,,,,,,,,,Wednesday,Poster 2.1,134,Meng Zheng, +910,You Look Twice: GaterNet for Dynamic Filter Selection in CNNs,,,,,,,,,Thursday,Poster 3.1,23,Zhourong Chen, +911,Understanding the Limitations of CNN-Based Absolute Camera Pose Regression,,,,,,,,,Tuesday,Poster 1.2,83,Torsten Sattler, +912,GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation,,,,,,,,,Wednesday,Poster 2.2,173,Xinhong Ma, +913,"Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks",,,,,,,,,Thursday,Poster 3.1,29,Chih-Hui Ho, +914,OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations,,,https://mp.weixin.qq.com/s/FXKWP4OlUsprSDgU7ue8CA?,,,,,,Tuesday,Poster 1.2,42,Pramuditha Perera,"Pramuditha Perera, Ramesh Nallapati, Bing Xiang" +915,Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization,,,,,,,,,Tuesday,Poster 1.1,123,Chenchen Liu, +916,Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition,,,,,,,,,Wednesday,Poster 2.2,99,Yinpeng Dong, +917,Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring,,,,,,,,,Wednesday,Poster 2.1,174,Hongguang Zhang, +918,Networks for Joint Affine and Non-Parametric Image Registration,,,,,,,,,Tuesday,Poster 1.2,212,Zhengyang Shen, +919,Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,51,Song Bai, +920,FOCNet: A Fractional Optimal Control Network for Image Denoising,,,,,,,,,Wednesday,Poster 2.1,182,Xixi Jia, +921,RegularFace: Deep Face Recognition via Exclusive Regularization,,,,,,,,,Tuesday,Poster 1.1,103,Kai Zhao, +922,Iterative Alignment Network for Continuous Sign Language Recognition,,,,,,,,,Tuesday,Poster 1.2,206,Junfu Pu, +923,A Neurobiological Evaluation Metric for Neural Network Model Search,,,,,,,,,Wednesday,Poster 2.1,86,Nathaniel Blanchard, +924,Reflective and Fluorescent Separation Under Narrow-Band Illumination,,,,,,,,,Wednesday,Poster 2.2,85,Koji Koyamatsu, +925,Text Guided Person Image Synthesis,,,,,,,,,Tuesday,Poster 1.2,137,Xingran Zhou, +926,An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection,,,,,,,,,Wednesday,Poster 2.1,173,Wenguan Wang, +927,Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs,,,,,,,,,Wednesday,Poster 2.2,176,Qi Zhang, +928,Adaptive Pyramid Context Network for Semantic Segmentation,,,,,,,,,Wednesday,Poster 2.2,79,Junjun He, +929,Blind Geometric Distortion Correction on Images Through Deep Learning,,,,,,,,,Wednesday,Poster 2.1,30,Xiaoyu Li, +930,Listen to the Image,,,,,,,,,Wednesday,Poster 2.2,125,Di Hu, +931,Relational Knowledge Distillation,,,,,,,,,Tuesday,Poster 1.2,186,Wonpyo Park, +932,An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM,,,,,,,,,Thursday,Poster 3.2,133,Patrick Geneva, +933,Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention,,,,,,,,,Tuesday,Poster 1.2,215,Pooya Abolghasemi, +934,Scalable Convolutional Neural Network for Image Compressed Sensing,,,,,,,,,Thursday,Poster 3.2,170,Wuzhen Shi, +935,TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection,,,,,,,,,Thursday,Poster 3.2,121,Lin Song, +936,Memory-Attended Recurrent Network for Video Captioning,,,,,,,,,Wednesday,Poster 2.2,199,Wenjie Pei, +937,UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos,,,,,,,,,Wednesday,Poster 2.2,153,Yang Wang, +938,Object Discovery in Videos as Foreground Motion Clustering,,,,,,,,,Thursday,Poster 3.1,137,Christopher Xie, +939,Deep Supervised Cross-Modal Retrieval,,,,,,,,,Thursday,Poster 3.1,178,Liangli Zhen, +940,Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,39,Zhixiang Wang, +941,"Robustness via Curvature Regularization, and Vice Versa",,,,,,,,,Thursday,Poster 3.1,13,Seyed-Mohsen Moosavi-Dezfooli, +942,Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks,,,,,,,,,Tuesday,Poster 1.1,149,Minyoung Huh, +943,Learning to Explore Intrinsic Saliency for Stereoscopic Video,,,,,,,,,Thursday,Poster 3.1,112,Qiudan Zhang, +944,Ensemble Deep Manifold Similarity Learning Using Hard Proxies,,,,,,,,,Wednesday,Poster 2.2,56,Nicolas Aziere, +945,Hyperspectral Imaging With Random Printed Mask,,,,,,,,,Thursday,Poster 3.1,153,Yuanyuan Zhao, +946,Knowledge Distillation via Instance Relationship Graph,,,,,,,,,Wednesday,Poster 2.2,17,Yufan Liu, +947,Convolutional Recurrent Network for Road Boundary Extraction,,,,,,,,,Thursday,Poster 3.1,73,Justin Liang, +948,ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving,,,,,,,,,Wednesday,Poster 2.1,91,Xibin Song, +949,LO-Net: Deep Real-Time Lidar Odometry,,,,,,,,,Wednesday,Poster 2.2,212,Qing Li, +950,Building Efficient Deep Neural Networks With Unitary Group Convolutions,,,,,,,,,Thursday,Poster 3.2,33,Ritchie Zhao, +951,Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes,,,,,,,,,Thursday,Poster 3.1,209,Chengquan Zhang, +952,BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network,,,,,,,,,Thursday,Poster 3.1,142,Hung-Jen Chen, +953,Learning Instance Activation Maps for Weakly Supervised Instance Segmentation,,,,,,,,,Tuesday,Poster 1.2,64,Yi Zhu, +954,Deep Embedding Learning With Discriminative Sampling Policy,,,,,,,,,Wednesday,Poster 2.1,41,Yueqi Duan, +955,Events-To-Video: Bringing Modern Computer Vision to Event Cameras,,,,,,,,,Tuesday,Poster 1.2,157,Henri Rebecq, +956,Improving Action Localization by Progressive Cross-Stream Cooperation,,,,,,,,,Thursday,Poster 3.2,124,Rui Su, +957,Disentangling Adversarial Robustness and Generalization,,,,,,,,,Wednesday,Poster 2.2,5,David Stutz, +958,Decorrelated Adversarial Learning for Age-Invariant Face Recognition,,,,,,,,,Tuesday,Poster 1.2,105,Hao Wang, +959,Neural Sequential Phrase Grounding (SeqGROUND),,,,,,,,,Tuesday,Poster 1.2,207,Pelin Dogan,"Pelin Dogan, Leonid Sigal, Markus Gross" +960,ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification,,,,,,,,,Tuesday,Poster 1.1,208,Fangneng Zhan, +961,Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,140,Wenjie Yang, +962,Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images,,,,,,,,,Tuesday,Poster 1.1,210,Yi Zhou, +963,Progressive Teacher-Student Learning for Early Action Prediction,,,,,,,,,Tuesday,Poster 1.2,108,Xionghui Wang, +964,Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning,,,,,,,,,Wednesday,Poster 2.1,104,Gianluca Agresti, +965,Enhanced Bayesian Compression via Deep Reinforcement Learning,,,,,,,,,Wednesday,Poster 2.2,2,Xin Yuan, +966,GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving,,,,,,,,,Tuesday,Poster 1.1,91,Buyu Li, +967,Generalizable Person Re-Identification by Domain-Invariant Mapping Network,,,,,,,,,Tuesday,Poster 1.1,49,Jifei Song, +968,Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks,,,,,,,,,Tuesday,Poster 1.2,5,Eunwoo Kim, +969,Learning to Learn Relation for Important People Detection in Still Images,,,,,,,,,Wednesday,Poster 2.1,45,Wei-Hong Li, +970,Thinking Outside the Pool: Active Training Image Creation for Relative Attributes,,,,,,,,,Tuesday,Poster 1.1,48,Aron Yu, +971,Metric Learning for Image Registration,,,,,,,,,Wednesday,Poster 2.2,211,Marc Niethammer, +972,Dissimilarity Coefficient Based Weakly Supervised Object Detection,,,,,,,,,Thursday,Poster 3.1,50,Aditya Arun, +973,Semantic Component Decomposition for Face Attribute Manipulation,,,,,,,,,Thursday,Poster 3.1,123,Ying-Cong Chen, +974,Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks,,,,,,,,,Wednesday,Poster 2.1,19,Hao Cheng, +975,Combinatorial Persistency Criteria for Multicut and Max-Cut,,,,,,,,,Wednesday,Poster 2.1,186,Jan-Hendrik Lange, +976,Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms,,,,,,,,,Thursday,Poster 3.2,199,Fandong Zhang, +977,Towards Robust Curve Text Detection With Conditional Spatial Expansion,,,,,,,,,Wednesday,Poster 2.2,53,Zichuan Liu, +978,Geometry-Aware Distillation for Indoor Semantic Segmentation,,,,,,,,,Tuesday,Poster 1.2,39,Jianbo Jiao, +979,TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation,,,,,,,,,Wednesday,Poster 2.2,129,Wayne Wu, +980,Deep Exemplar-Based Video Colorization,,,,,,,,,Wednesday,Poster 2.2,151,Bo Zhang, +981,RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion,,,,,,,,,Wednesday,Poster 2.2,97,Jie Li, +982,Progressive Attention Memory Network for Movie Story Question Answering,,,,,,,,,Wednesday,Poster 2.2,198,Junyeong Kim, +983,Semantic Attribute Matching Networks,,,,,,,,,Thursday,Poster 3.2,175,Seungryong Kim, +984,Conditional Adversarial Generative Flow for Controllable Image Synthesis,,,,,,,,,Wednesday,Poster 2.2,127,Rui Liu, +985,Task Agnostic Meta-Learning for Few-Shot Learning,,,,,,,,,Thursday,Poster 3.2,76,Muhammad Abdullah Jamal, +986,Deep Spectral Clustering Using Dual Autoencoder Network,,,,,,,,,Tuesday,Poster 1.2,196,Xu Yang, +987,AdaptiveFace: Adaptive Margin and Sampling for Face Recognition,,,,,,,,,Thursday,Poster 3.2,117,Hao Liu, +988,"What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?",,,,,,,,,Wednesday,Poster 2.1,20,Ciprian A. Corneanu, +989,Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation,,,,,,,,,Thursday,Poster 3.2,206,Feigege Wang, +990,Local Features and Visual Words Emerge in Activations,,,,,,,,,Thursday,Poster 3.2,69,Oriane Simeoni, +991,Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping,,,,,,,,,Thursday,Poster 3.2,184,Suhas Lohit, +992,Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination,,,,,,,,,Thursday,Poster 3.2,141,Liangzhe Yuan, +993,Adversarial Defense Through Network Profiling Based Path Extraction,,,,,,,,,Wednesday,Poster 2.1,22,Yuxian Qiu, +994,Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection,,,,,,,,,Tuesday,Poster 1.2,99,Zhiwei Liu, +995,Arbitrary Style Transfer With Style-Attentional Networks,,,,,,,,,Wednesday,Poster 2.1,164,Dae Young Park, +996,Learning a Unified Classifier Incrementally via Rebalancing,,,,,,,,,Tuesday,Poster 1.1,60,Saihui Hou, +997,Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks,,,,,,,,,Thursday,Poster 3.1,146,Lin Wang, +998,Single Image Reflection Removal Beyond Linearity,,,,,,,,,Tuesday,Poster 1.2,148,Qiang Wen, +999,Robustness Verification of Classification Deep Neural Networks via Linear Programming,,,,,,,,,Thursday,Poster 3.2,45,Wang Lin, +1000,Generalising Fine-Grained Sketch-Based Image Retrieval,,,,,,,,,Tuesday,Poster 1.1,45,Kaiyue Pang, +1001,ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation,,,,,,,,,Thursday,Poster 3.2,43,Xiaoliang Dai, +1002,Ray-Space Projection Model for Light Field Camera,,,,,,,,,Thursday,Poster 3.1,150,Qi Zhang, +1003,Learning to Detect Human-Object Interactions With Knowledge,,,,,,,,,Tuesday,Poster 1.1,204,Bingjie Xu, +1004,End-To-End Supervised Product Quantization for Image Search and Retrieval,,,,,,,,,Wednesday,Poster 2.1,49,Benjamin Klein, +1005,RAVEN: A Dataset for Relational and Analogical Visual REasoNing,,,,https://wellyzhang.github.io/project/raven.html,,,,,Wednesday,Poster 2.1,77,Chi Zhang,"Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu" +1006,Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation,,,,,,,,,Tuesday,Poster 1.1,147,Yazeed Alharbi, +1007,Efficient Featurized Image Pyramid Network for Single Shot Detector,,,,,,,,,Wednesday,Poster 2.2,60,Yanwei Pang, +1008,Data Representation and Learning With Graph Diffusion-Embedding Networks,,,,,,,,,Thursday,Poster 3.1,180,Bo Jiang, +1009,Enhanced Pix2pix Dehazing Network,,,,,,,,,Wednesday,Poster 2.2,162,Yanyun Qu, +1010,FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference,,,,,,,,,Wednesday,Poster 2.1,72,Jungbeom Lee, +1011,Adaptive Confidence Smoothing for Generalized Zero-Shot Learning,,,,,,,,,Thursday,Poster 3.2,71,Yuval Atzmon, +1012,Attentive Relational Networks for Mapping Images to Scene Graphs,,,,,,,,,Tuesday,Poster 1.2,185,Mengshi Qi, +1013,Multi-Task Learning of Hierarchical Vision-Language Representation,,,,,,,,,Thursday,Poster 3.1,188,Duy-Kien Nguyen, +1014,Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition,,,,,,,,,Wednesday,Poster 2.2,48,Moein Shakeri, +1015,A Content Transformation Block for Image Style Transfer,,,,,,,,,Thursday,Poster 3.1,141,Dmytro Kotovenko, +1016,Knockoff Nets: Stealing Functionality of Black-Box Models,,,,,,,,,Wednesday,Poster 2.1,40,Tribhuvanesh Orekondy, +1017,Unsupervised Moving Object Detection via Contextual Information Separation,,,,,,,,,Tuesday,Poster 1.1,65,Yanchao Yang, +1018,P2SGrad: Refined Gradients for Optimizing Deep Face Models,,,,,,,,,Thursday,Poster 3.1,128,Xiao Zhang, +1019,Fast Spatio-Temporal Residual Network for Video Super-Resolution,,,,,,,,,Thursday,Poster 3.1,206,Sheng Li, +1020,Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks,,,,,,,,,Thursday,Poster 3.2,204,Stephen James, +1021,Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning,,,,,,,,,Thursday,Poster 3.1,108,Rohit Pandey, +1022,Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks,,,,,,,,,Tuesday,Poster 1.2,48,Junjie Zhang, +1023,Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling,,,,,,,,,Tuesday,Poster 1.2,85,Jiancheng Yang,"Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian" +1024,Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks,,,,,,,,,Wednesday,Poster 2.1,70,Seoung Wug Oh, +1025,Explicit Spatial Encoding for Deep Local Descriptors,,,,,,,,,Thursday,Poster 3.1,46,Arun Mukundan, +1026,Learning Shape-Aware Embedding for Scene Text Detection,,,,,,,,,Tuesday,Poster 1.2,213,Zhuotao Tian, +1027,A Structured Model for Action Detection,,,,,,,,,Thursday,Poster 3.1,135,Yubo Zhang, +1028,Scan2Mesh: From Unstructured Range Scans to 3D Meshes,,,,,,,,,Wednesday,Poster 2.1,103,Angela Dai, +1029,Deep Single Image Camera Calibration With Radial Distortion,,,,,,,,,Thursday,Poster 3.2,86,Manuel Lopez, +1030,Dense Classification and Implanting for Few-Shot Learning,,,,,,,,,Thursday,Poster 3.1,32,Yann Lifchitz, +1031,DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image,,,,,,,,,Tuesday,Poster 1.2,84,Jiaxiong Qiu, +1032,Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters,,,,,,,,,Tuesday,Poster 1.1,135,Ugur Kart, +1033,MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors,,,,,,,,,Thursday,Poster 3.1,42,Lile Cai, +1034,Visual Localization by Learning Objects-Of-Interest Dense Match Regression,,,,,,,,,Wednesday,Poster 2.1,124,Philippe Weinzaepfel, +1035,Cross Domain Model Compression by Structurally Weight Sharing,,,,,,,,,Thursday,Poster 3.1,2,Shangqian Gao, +1036,Learning to Generate Synthetic Data via Compositing,,,,,,,,,Tuesday,Poster 1.1,23,Shashank Tripathi, +1037,Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage,,,,,,,,,Wednesday,Poster 2.2,73,Luca Magri, +1038,Image-Question-Answer Synergistic Network for Visual Dialog,,,,,,,,,Thursday,Poster 3.1,182,Dalu Guo, +1039,Learning Multi-Class Segmentations From Single-Class Datasets,,,,,,,,,Thursday,Poster 3.1,72,Konstantin Dmitriev, +1040,Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring,,,,,,,,,Wednesday,Poster 2.1,180,Liyuan Pan, +1041,Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples,,,,,,,,,Tuesday,Poster 1.1,63,Zihao Liu, +1042,3D Guided Fine-Grained Face Manipulation,,,,,,,,,Thursday,Poster 3.1,119,Zhenglin Geng, +1043,An End-To-End Network for Generating Social Relationship Graphs,,,,,,,,,Thursday,Poster 3.2,21,Arushi Goel, +1044,Compact Feature Learning for Multi-Domain Image Classification,,,,,,,,,Wednesday,Poster 2.2,45,Yajing Liu, +1045,Privacy Preserving Image-Based Localization,,,,,,,,,Wednesday,Poster 2.1,95,Pablo Speciale, +1046,Learning View Priors for Single-View 3D Reconstruction,,,,http://hiroharu-kato.com/projects_en/view_prior_learning.html,,,,,Thursday,Poster 3.1,115,Hiroharu Kato,"Hiroharu Kato, Tatsuya Harada" +1047,SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints,,,,,,,,,Tuesday,Poster 1.1,136,Amir Sadeghian, +1048,Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking,,,,,,,,,Wednesday,Poster 2.2,123,Heng Fan, +1049,ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis,,,,,,,,,Wednesday,Poster 2.1,44,Chao Chen, +1050,Automatic Face Aging in Videos via Deep Reinforcement Learning,,,,,,,,,Thursday,Poster 3.1,139,Chi Nhan Duong, +1051,Unsupervised 3D Pose Estimation With Geometric Self-Supervision,,,,,,,,,Wednesday,Poster 2.1,132,Ching-Hang Chen, +1052,Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates,,,,,,,,,Tuesday,Poster 1.2,198,Jerome Revaud, +1053,Blind Super-Resolution With Iterative Kernel Correction,,,,,,,,,Tuesday,Poster 1.1,162,Jinjin Gu, +1054,DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features,,,,,,,,,Tuesday,Poster 1.2,4,Chang Tang, +1055,Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training,,,,,,,,,Tuesday,Poster 1.1,106,Mahdi Abavisani, +1056,A Late Fusion CNN for Digital Matting,,,,,,,,,Wednesday,Poster 2.2,74,Yunke Zhang, +1057,Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering,,,,,,,,,Thursday,Poster 3.2,130,Xinglin Piao, +1058,Embedding Complementary Deep Networks for Image Classification,,,,,,,,,Thursday,Poster 3.1,30,Qiuyu Chen, +1059,All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation,,,,,,,,,Tuesday,Poster 1.1,192,Wei-Lun Chang, +1060,Does Learning Specific Features for Related Parts Help Human Pose Estimation?,,,,,,,,,Tuesday,Poster 1.1,100,Wei Tang, +1061,Adversarial Semantic Alignment for Improved Image Captions,,,,,,,,,Thursday,Poster 3.1,185,Pierre Dognin, +1062,Learning to Learn Image Classifiers With Visual Analogy,,,,,,,,,Thursday,Poster 3.2,53,Linjun Zhou, +1063,VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People,,,,,,,,,Tuesday,Poster 1.1,71,Danna Gurari, +1064,Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation,,,,,,,,,Tuesday,Poster 1.2,50,Jian Liang, +1065,Fully Quantized Network for Object Detection,,,,,,,,,Tuesday,Poster 1.2,15,Rundong Li, +1066,Learning From Noisy Labels by Regularized Estimation of Annotator Confusion,,,,,,,,,Thursday,Poster 3.2,27,Ryutaro Tanno, +1067,Deep Defocus Map Estimation Using Domain Adaptation,,,,,,,,,Thursday,Poster 3.2,145,Junyong Lee, +1068,KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing,,,,,,,,,Wednesday,Poster 2.1,69,Mengshi Qi, +1069,Separate to Adapt: Open Set Domain Adaptation via Progressive Separation,,,,,,,,,Tuesday,Poster 1.2,45,Hong Liu, +1070,Spatially Variant Linear Representation Models for Joint Filtering,,,,,,,,,Tuesday,Poster 1.1,172,Jinshan Pan, +1071,Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling,,,,,,,,,Wednesday,Poster 2.2,19,Zhen Wei, +1072,Towards Universal Object Detection by Domain Attention,,,,http://www.svcl.ucsd.edu/projects/universal-detection/?,,,,,Wednesday,Poster 2.2,55,Xudong Wang,"Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos" +1073,Salient Object Detection With Pyramid Attention and Salient Edges,,,,,,,,,Tuesday,Poster 1.1,146,Wenguan Wang, +1074,Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection,,,,,,,,,Thursday,Poster 3.1,140,Rui Shao, +1075,CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions,,,,,,,,,Tuesday,Poster 1.2,208,Runtao Liu, +1076,A Flexible Convolutional Solver for Fast Style Transfers,,,,,,,,,Thursday,Poster 3.1,1,Gilles Puy, +1077,MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection,,,,,,,,,Thursday,Poster 3.1,96,Paul Bergmann, +1078,MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition,,,,,,,,,Wednesday,Poster 2.2,64,Weihe Zhang, +1079,Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction,,,,,,,,,Thursday,Poster 3.2,91,Jason Ku, +1080,Contrastive Adaptation Network for Unsupervised Domain Adaptation,,,,,,,,,Wednesday,Poster 2.1,34,Guoliang Kang, +1081,"NetTailor: Tuning the Architecture, Not Just the Weights",,,,,,,,,Tuesday,Poster 1.2,57,Pedro Morgado, +1082,Variational Information Distillation for Knowledge Transfer,,,,,,,,,Thursday,Poster 3.1,22,Sungsoo Ahn, +1083,FA-RPN: Floating Region Proposals for Face Detection,,,,,,,,,Wednesday,Poster 2.2,100,Mahyar Najibi, +1084,Multi-Agent Tensor Fusion for Contextual Trajectory Prediction,,,,,,,,,Thursday,Poster 3.2,135,Tianyang Zhao, +1085,Bayesian Hierarchical Dynamic Model for Human Action Recognition,,,,,,,,,Wednesday,Poster 2.2,101,Rui Zhao, +1086,CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth,,,,http://webdiis.unizar.es/~jmfacil/camconvs/,,,,,Thursday,Poster 3.2,87,Jose M. Facil,"Jose M. Facil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera" +1087,A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem,,,,,,,,,Wednesday,Poster 2.1,188,Ganzhao Yuan, +1088,Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth,,,,,,,,,Wednesday,Poster 2.1,101,Rui Wang, +1089,F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning,,,,,,,,,Thursday,Poster 3.1,166,Yongqin Xian, +1090,Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification,,,,,,,,,Tuesday,Poster 1.2,116,Qize Yang, +1091,Learning RoI Transformer for Oriented Object Detection in Aerial Images,,,,,,,,,Tuesday,Poster 1.2,37,Jian Ding, +1092,Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior,,,,,,,,,Thursday,Poster 3.1,164,Magauiya Zhussip, +1093,Action4D: Online Action Recognition in the Crowd and Clutter,,,,,,,,,Thursday,Poster 3.2,90,Quanzeng You, +1094,Structural Relational Reasoning of Point Clouds,,,,,,,,,Tuesday,Poster 1.1,84,Yueqi Duan, +1095,Fast Object Class Labelling via Speech,,,,,,,,,Wednesday,Poster 2.1,82,Michael Gygli, +1096,Object Instance Annotation With Deep Extreme Level Set Evolution,,,,,,,,,Wednesday,Poster 2.2,77,Zian Wang, +1097,Graphical Contrastive Losses for Scene Graph Parsing,,,,,,,,,Thursday,Poster 3.2,57,Ji Zhang, +1098,HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds,,,,,,,,,Tuesday,Poster 1.2,78,Xiuye Gu, +1099,Time-Conditioned Action Anticipation in One Shot,,,,,,,,,Thursday,Poster 3.1,130,Qiuhong Ke, +1100,Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation,,,,,,,,,Thursday,Poster 3.2,205,Haofu Liao, +1101,Quantization Networks,,,,,,,,,Wednesday,Poster 2.2,57,Jiwei Yang, +1102,Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering,,,,,,,,,Wednesday,Poster 2.2,215,Jianyang Xie, +1103,Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification,,,,,,,,,Tuesday,Poster 1.1,16,Yifan Sun, +1104,Learning Without Memorizing,,,,,,,,,Wednesday,Poster 2.1,59,Prithviraj Dhar, +1105,Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video,,,,,,,,,Wednesday,Poster 2.2,112,Radu Tudor Ionescu, +1106,MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction,,,,,,,,,Wednesday,Poster 2.2,94,Hongwei Yi, +1107,Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation,,,,,,,,,Thursday,Poster 3.1,114,Andrea Pilzer, +1108,Learning to Localize Through Compressed Binary Maps,,,,,,,,,Thursday,Poster 3.1,170,Xinkai Wei, +1109,Min-Max Statistical Alignment for Transfer Learning,,,,,,,,,Thursday,Poster 3.1,35,Samitha Herath, +1110,Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks,,,,,,,,,Thursday,Poster 3.1,214,Nima Mohajerin, +1111,Pointing Novel Objects in Image Captioning,,,,,,,,,Thursday,Poster 3.2,191,Yehao Li, +1112,Task-Free Continual Learning,,,,,,,,,Thursday,Poster 3.2,28,Rahaf Aljundi, +1113,A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks,,,,,,,,,Wednesday,Poster 2.2,23,Yinghao Xu, +1114,DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition,,,,,,,,,Tuesday,Poster 1.1,128,Zheng Shou, +1115,Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition,,,,,,,,,Thursday,Poster 3.2,112,Jiayu Dong, +1116,PIEs: Pose Invariant Embeddings,,,,,,,,,Thursday,Poster 3.2,179,Chih-Hui Ho, +1117,Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning,,,,,,,,,Thursday,Poster 3.1,34,Xi Shen, +1118,Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning,,,,,,,,,Thursday,Poster 3.2,190,Nayyer Aafaq, +1119,Marginalized Latent Semantic Encoder for Zero-Shot Learning,,,,,,,,,Wednesday,Poster 2.1,196,Zhengming Ding, +1120,Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy,,,,,,,,,Wednesday,Poster 2.2,47,Aoxue Li, +1121,Deep Robust Subjective Visual Property Prediction in Crowdsourcing,,,,,,,,,Thursday,Poster 3.1,4,Qianqian Xu, +1122,Soft Labels for Ordinal Regression,,,,,,,,,Wednesday,Poster 2.1,18,Raul Diaz, +1123,Learning Words by Drawing Images,,,,,,,,,Tuesday,Poster 1.1,205,Didac Suris, +1124,Learning to Separate Multiple Illuminants in a Single Image,,,,,,,,,Tuesday,Poster 1.2,149,Zhuo Hui, +1125,Context-Aware Visual Compatibility Prediction,,,,,,,,,Thursday,Poster 3.2,203,Guillem Cucurull, +1126,LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search,,,,,,,,,Tuesday,Poster 1.2,40,John Collomosse, +1127,Explicit Bias Discovery in Visual Question Answering Models,,,,,,,,,Thursday,Poster 3.1,93,Varun Manjunatha, +1128,Single-Frame Regularization for Temporally Stable CNNs,,,,,,,,,Thursday,Poster 3.2,20,Gabriel Eilertsen, +1129,Mask-Guided Portrait Editing With Conditional GANs,,,,,,,,,Tuesday,Poster 1.2,96,Shuyang Gu, +1130,Large-Scale Interactive Object Segmentation With Human Annotators,,,,,,,,,Thursday,Poster 3.2,74,Rodrigo Benenson, +1131,On Exploring Undetermined Relationships for Visual Relationship Detection,,,,,,,,,Wednesday,Poster 2.1,58,Yibing Zhan, +1132,A Compact Embedding for Facial Expression Similarity,,,,,,,,,Wednesday,Poster 2.1,129,Raviteja Vemulapalli, +1133,Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification,,,,,,,,,Tuesday,Poster 1.1,50,Hao Guo, +1134,Object-Driven Text-To-Image Synthesis via Adversarial Training,,,,,,,,,Thursday,Poster 3.2,140,Wenbo Li, +1135,Creative Flow+ Dataset,,,,,,,,,Wednesday,Poster 2.1,84,Maria Shugrina, +1136,Towards Real Scene Super-Resolution With Raw Images,,,,,,,,,Tuesday,Poster 1.1,174,Xiangyu Xu, +1137,Inverse Discriminative Networks for Handwritten Signature Verification,,,,,,,,,Wednesday,Poster 2.1,152,Ping Wei, +1138,Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification,,,,,,,,,Wednesday,Poster 2.1,92,Jin Li, +1139,Disentangling Latent Hands for Image Synthesis and Pose Estimation,,,https://mp.weixin.qq.com/s/U45X5kKMw_E4vfHfVmWZTA,,,,,,Thursday,Poster 3.1,125,Linlin Yang, +1140,Feature Selective Anchor-Free Module for Single-Shot Object Detection,,,,,,,,,Tuesday,Poster 1.1,61,Chenchen Zhu,"Chenchen Zhu, Yihui He, Marios Savvides" +1141,Rare Event Detection Using Disentangled Representation Learning,,,,,,,,,Thursday,Poster 3.1,39,Ryuhei Hamaguchi, +1142,Joint Manifold Diffusion for Combining Predictions on Decoupled Observations,,,,,,,,,Wednesday,Poster 2.2,82,Kwang In Kim, +1143,Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences,,,,,,,,,Thursday,Poster 3.1,8,Seonguk Seo, 1144,DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios,,,,,,,,,Tuesday,Poster 1.1,67,Guorun Yang, 1145,VRSTC: Occlusion-Free Video Person Re-Identification,,,,,,,,,Wednesday,Poster 2.2,44,Ruibing Hou, 1146,Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks,,,,,,,,,Wednesday,Poster 2.1,190,Xiaolong Jiang,