From b37d14656a494cfae62dc8fb5800fb1b14fa4693 Mon Sep 17 00:00:00 2001 From: extreme-assistant Date: Tue, 27 Aug 2019 16:40:38 +0800 Subject: [PATCH] add new CVPR2019 GitHublinks and update readme --- README.md | 3 + cvpr_2019_githublinks.csv | 796 +++++++++++++++++++------------------- 2 files changed, 401 insertions(+), 398 deletions(-) diff --git a/README.md b/README.md index 13cf6b8..691f83c 100755 --- a/README.md +++ b/README.md @@ -2,6 +2,8 @@ Source：https://mp.weixin.qq.com/s/SmS-guwg6oUqPYwfeC6iiw
论文解读汇总：http://bbs.cvmart.net/topics/287/cvpr2019
论文分类汇总：http://bbs.cvmart.net/topics/302/cvpr2019paper

+2000~2019年历届CVPR最佳论文代码，解读等汇总：http://bbs.cvmart.net/topics/665/CVPR-Best-Paper
+
# 1.CVPR2019全部论文PDF百度云下载
@@ -12,6 +14,7 @@ Source：https://mp.weixin.qq.com/s/SmS-guwg6oUqPYwfeC6iiw
* 下载链接:
链接:https://pan.baidu.com/s/1dhXrWFHeKeJ1kFsKBxQzVg 密码:f53l * [CVPR 2019全部论文开源源码汇总Excel点这里](https://github.com/extreme-assistant/cvpr2019/blob/master/cvpr_2019_githublinks.csv) +

# 2.CVPR2019论文盘点
* [CVPR 2019 论文大盘点-目标跟踪篇](http://bbs.cvmart.net/articles/523/cvpr-2019-lun-wen-da-pan-dian-mu-biao-gen-zong-pian)
diff --git a/cvpr_2019_githublinks.csv b/cvpr_2019_githublinks.csv index bb79b5d..b65a181 100755 --- a/cvpr_2019_githublinks.csv +++ b/cvpr_2019_githublinks.csv @@ -1,4 +1,4 @@ -,title,stars,github/code,paper reading article,project link,Catorgory,Oral day,Oral session,Oral time,Poster day,Poster session,Poster #,First author,Author +No,title,stars,github/code,paper reading article,project link,Catorgory,Oral day,Oral session,Oral time,Poster day,Poster session,Poster #,First author,Author 1,Detect-To-Retrieve: Efficient Regional Aggregation for Image Search,53102,https://github.com/tensorflow/models/tree/master/research/delf,,,Retrieve,,,,Wednesday,Poster 2.1,56,Marvin Teichmann,"Marvin Teichmann, Andre Araujo, Menglong Zhu, Jack Sim" 2,A Style-Based Generator Architecture for Generative Adversarial Networks,6595,https://github.com/NVlabs/stylegan,,,GAN,Wednesday,Oral 2.1A,09:47,Wednesday,Poster 2.1,14,Tero Karras,"Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA)" 3,Semantic Image Synthesis With Spatially-Adaptive Normalization,4425,https://github.com/NVlabs/SPADE,,,,Tuesday,Oral 1.2B,13:40,Tuesday,Poster 1.2,120,Taesung Park,"Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu" @@ -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,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" +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" 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?henbhl" @@ -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,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" +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" 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" +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" +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" 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,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 Martn-Martn, Cewu Lu, Li Fei-Fei, Silvio Savarese" 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" +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 Martn-Martn, Cewu Lu, Li Fei-Fei, Silvio Savarese" +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" 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,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" +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?" 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,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,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" +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 +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" 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,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" +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" 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" +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" 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,?Frdo 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,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" +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" 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" +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" 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" @@ -80,431 +80,460 @@ 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,?Stphane Lathuilire,?Sergey Tulyakov,?Elisa Ricci,?Nicu Sebe" -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" +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" 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,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" +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" 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 +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" 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,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,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" +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" +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" 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,"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 " +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" 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,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 " +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" 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 " +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 " +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" 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" +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 " 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,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" +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" 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" +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" +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" +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" +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 " 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,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,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,"Jr?me Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger" +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 +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" 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 " +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,"Jr?me Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger" 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,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" +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" 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" +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" 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" +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" 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,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,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" +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" +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" 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,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" +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" 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" +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" +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" +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" +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" 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,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,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" +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" +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" +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 " +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" 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" +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" +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" 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 " +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" 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,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,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" +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" +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" 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 " +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" +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" 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" +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 " +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" +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" +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" +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" +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" +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 " 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" +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" 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" +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" +173,Destruction and Construction Learning for Fine-Grained Image Recognition,21,https://github.com/JDAI-CV/DCL,,,,,,,Wednesday,Poster 2.1,61,Yue Chen, +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" 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" +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" 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,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,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 " +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" +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" +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" +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" 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,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,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" +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 " +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" +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" +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 " +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" +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" 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 LiXiao-Ming WuHan LiuXiaotong Zhang -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" +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" 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 Gera, 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" +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" +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" +197,Label Efficient Semi-Supervised Learning via Graph Filtering,14,https://github.com/liqimai/Efficient-SSL,,,,,,,Thursday,Poster 3.1,95,Qimai Li,Qimai LiXiao-Ming WuHan LiuXiaotong Zhang +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" +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" +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" 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 Prez" +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" +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" +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 Gera, Yuhao Chen, Edward J. Delp" 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,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 " +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 Prez" +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" +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" +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" +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" 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" +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 " +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" +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" +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" 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,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" +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" +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" +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" +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" +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 " 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 " +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" +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" +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" +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" +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" +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" +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" +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 " 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" +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 " +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" +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 " +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" +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" +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" +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" 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,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" +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" +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" 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" +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" +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?" +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" +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" +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" +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" +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" +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" 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" +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" +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" +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" +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" +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" +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" +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" +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" +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" 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 WangLi YuanXiaopeng ZhangJiashi 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 WuChi ZhanYu-Kun LaiMing-Ming ChengJufeng Yang +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" +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" +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" +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" +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" +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 +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" 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" +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 WuChi ZhanYu-Kun LaiMing-Ming ChengJufeng Yang +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 WangLi YuanXiaopeng ZhangJiashi Feng +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" +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" +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" +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" +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" +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" +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" 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,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" +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" +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" 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,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" +291,Actor-Critic Instance Segmentation,1,https://github.com/visinf/acis,,,,,,,Wednesday,Poster 2.2,170,Nikita Araslanov,"Kwang In Kim, Hyung Jin Chang" +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" +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" +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" +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" +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" +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" +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" +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" +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" 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 BatraSuriya SinghGuan PangSaikat BasuC.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-JimenezVicky KalogeitonPablo Medina-SuarezAndrew 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" -679,Character Region Awareness for Text Detection,,https://github.com/clovaai/CRAFT-pytorch,,,,,,,Thursday,Poster 3.1,43,Youngmin Baek, -563,"Monocular Total Capture: Posing Face, Body, and Hands in the Wild",,https://github.com/CMU-Perceptual-Computing-Lab/MonocularTotalCapture,,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" -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) -1067,Deep Defocus Map Estimation Using Domain Adaptation,,https://github.com/codeslake/SYNDOF,,,,,,,Thursday,Poster 3.2,145,Junyong Lee, -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 YangJoshua Manela Michael HappoldDeva 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, Gl 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 YewGim 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, -865,CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning,,https://github.com/icoz69/CaNet,,,,,,,Wednesday,Poster 2.1,67,Chi Zhang, -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,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" +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" +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" +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" +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" +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" +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" +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 " +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" +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" +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" +979,TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation,,https://wywu.github. io/projects/TGaGa/TGaGa.html,,,,,,,Wednesday,Poster 2.2,129,Wayne Wu, +494,Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views,,https://github.com/zju-3dv/mvpose,,,,,,,Wednesday,Poster 2.2,107,Junting Dong,"Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou" +372,Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes,,https://github.com/ziquan111/RobustPCLReconstruction,,,,,,,Thursday,Poster 3.1,106,Ziquan Lan,"Ziquan Lan, Zi Jian YewGim Hee Lee" +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" +492,Large-Scale Long-Tailed Recognition in an Open World,,https://github.com/zhmiao/OpenLongTailRecognition-OLTR,,https://liuziwei7.github.io/projects/LongTail.html,,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" +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" +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" +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, +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" +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 +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" +760,Triangulation Learning Network: From Monocular to Stereo 3D Object Detection,,https://github.com/Zengyi-Qin/TLNet,,,,,,,Wednesday,Poster 2.2,89,Zengyi Qin, +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" +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" +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" +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, +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" +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" +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" +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, +477,Probabilistic End-To-End Noise Correction for Learning With Noisy Labels,,https://github.com/yikun2019/PENCIL,,,,,,,Wednesday,Poster 2.2,9,Kun Yi, +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" +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" +519,Auto-Encoding Scene Graphs for Image Captioning,,https://github.com/yangxuntu/SGAE,,,,Thursday,Oral 3.2A,14:06,Thursday,Poster 3.2,7,Xu Yang, +474,Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval,,https://github.com/yalesong/pvse,,,,,,,Tuesday,Poster 1.1,200,Yale Song, +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" +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" +471,Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction,,https://github.com/xudejing/VCOP,,,,,,,Thursday,Poster 3.1,172,Dejing Xu,Dejing XuJun XiaoZhou ZhaoJian ShaoDi XieYueting Zhuang +470,Ranked List Loss for Deep Metric Learning,,https://github.com/XinshaoAmosWang/Deep-Metric-Embedding,,,,,,,Wednesday,Poster 2.1,66,Xinshao Wang, +1242,Deep Network Interpolation for Continuous Imagery Effect Transition,,https://github.com/xinntao/DNI,,,,,,,Tuesday,Poster 1.1,171,Xintao Wang, +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" +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 " +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" +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" +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 " +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" +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, +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" +777,Learning Unsupervised Video Object Segmentation Through Visual Attention,,https://github.com/wenguanwang/AGS,,,,,,,Tuesday,Poster 1.2,59,Wenguan Wang, +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" +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 +459,Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation,,https://github.com/vsingh-group/MeNets,,,,,,,Wednesday,Poster 2.2,102,Yunyang Xiong, +458,MOTS: Multi-Object Tracking and Segmentation,,https://github.com/VisualComputingInstitute/mots_tools,,,,,,,Wednesday,Poster 2.2,122,Paul Voigtlaender, +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 +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" +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" +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" +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" +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" +571,Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope,,https://github.com/tolgabirdal/birkhoffrlmc,,,,Thursday,Oral 3.2C,14:42,Thursday,Poster 3.2,159,Tolga Birdal,Tolga Birdal & Umut _im_ekli +585,Deep Metric Learning Beyond Binary Supervision,,https://github.com/tjddus9597/Beyond-Binary-Supervision-CVPR19,,,,Tuesday,Oral 1.2A,15:00,Tuesday,Poster 1.2,33,Sungyeon Kim, +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" +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" +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" +1247,FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation,,https://github.com/tensorflow/models/tree/master/research/feelvos,,,,,,,Thursday,Poster 3.1,70,Paul Voigtlaender, +617,A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images,,https://github.com/tangjiapeng/SkeletonBridgeRecon,,,,Wednesday,Oral 2.1B,09:42,Wednesday,Poster 2.1,118,Jiapeng Tang, +578,Label-Noise Robust Generative Adversarial Networks,,https://github.com/takuhirok/rGAN,,,,Tuesday,Oral 1.2B,15:00,Tuesday,Poster 1.2,133,Takuhiro Kaneko, +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 +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" +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" +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" +1211,Deeply-Supervised Knowledge Synergy,,https://github.com/sundw2014/DKS,,,,,,,Wednesday,Poster 2.2,7,Dawei Sun, +444,Content-Aware Multi-Level Guidance for Interactive Instance Segmentation,,https://github.com/sm176357/mlg,,,,,,,Thursday,Poster 3.2,64,Soumajit Majumder, +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" +825,On Stabilizing Generative Adversarial Training With Noise,,https://github.com/sjenni/dfgan,,,,,,,Thursday,Poster 3.2,137,Simon Jenni, +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" +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" +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." +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" +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, +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, +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" +435,Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss,,https://github.com/roysubhankar/dwt-domain-adaptation,,,,,,,Thursday,Poster 3.1,54,Subhankar Roy, +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" +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" +1090,Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification,,https://github.com/QizeYang/PAUL,,,,,,,Tuesday,Poster 1.2,116,Qize Yang, +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" +431,Learning Single-Image Depth From Videos Using Quality Assessment Networks,,https://github.com/princeton-vl/YouTube3D,,,,,,,Wednesday,Poster 2.1,121,Weifeng Chen, +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, +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" +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" +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" 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 -617,A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images,,https://github.com/tangjiapeng/SkeletonBridgeRecon,,,,Wednesday,Oral 2.1B,09:42,Wednesday,Poster 2.1,118,Jiapeng Tang, -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" -777,Learning Unsupervised Video Object Segmentation Through Visual Attention,,https://github.com/wenguanwang/AGS,,,,,,,Tuesday,Poster 1.2,59,Wenguan Wang, -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 XuJun XiaoZhou ZhaoJian ShaoDi XieYueting 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,,,,,,,Wednesday,Poster 2.2,107,Junting Dong,"Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou" +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" +423,Libra R-CNN: Towards Balanced Learning for Object Detection,,https://github.com/OceanPang/Libra_R-CNN,,,,,,,Tuesday,Poster 1.1,59,Jiangmiao Pang, +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" +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" +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 +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." +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" +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" +500,Self-Supervised Representation Learning From Videos for Facial Action Unit Detection,,https://github.com/mysee1989/TCAE,,,,Thursday,Oral 3.2B,14:42,Thursday,Poster 3.2,104,Yong Li, +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" +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" +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, +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" +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" +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" +897,Rethinking the Evaluation of Video Summaries,,https://github.com/mayu-ot/rethinking-evs,,,,,,,Wednesday,Poster 2.2,87,Mayu Otani, +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" +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," +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 +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" +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" +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" +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" +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" +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, +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" +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 " +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" +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" +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" +846,Explore-Exploit Graph Traversal for Image Retrieval,,https://github.com/layer6ai-labs/egt,,,,,,,Thursday,Poster 3.1,49,Cheng Chang, +820,3DN: 3D Deformation Network,,https://github.com/laughtervv/3DN,,,,,,,Tuesday,Poster 1.1,93,Weiyue Wang, +1098,HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds,,https://github.com/laoreja/HPLFlowNet,,,,,,,Tuesday,Poster 1.2,78,Xiuye Gu, +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" +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" +394,Semantic Projection Network for Zero- and Few-Label Semantic Segmentation,,https://github.com/kazuto1011/deeplab-pytorch,,,,,,,Wednesday,Poster 2.2,172,Yongqin Xian, +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" +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" +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, +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" +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, +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, +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" +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 +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 +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" +1086,CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth,,https://github.com/jmfacil/camconvs,,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" +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" +696,Attention-Guided Network for Ghost-Free High Dynamic Range Imaging,,https://github.com/JimmyChame/The-State-of-the-Art-in-HDR-Deghosting,,,,,,,Tuesday,Poster 1.1,177,Qingsen Yan, +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" +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" +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, +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" +1294,Deep Incremental Hashing Network for Efficient Image Retrieval,,https://github.com/IIE-MR/DIHN,,,,,,,Thursday,Poster 3.1,12,Dayan Wu, +865,CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning,,https://github.com/icoz69/CaNet,,,,,,,Wednesday,Poster 2.1,67,Chi Zhang, +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, +377,Deep Surface Normal Estimation With Hierarchical RGB-D Fusion,,https://github.com/huangyunmu/HFMNet_CVPR2019,,,,,,,Wednesday,Poster 2.1,192,Jin Zeng, +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" +375,Neural Scene Decomposition for Multi-Person Motion Capture,,https://github.com/hrhodin/NeuralSceneDecomposition,,,,,,,Wednesday,Poster 2.2,98,Helge Rhodin, +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 +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 +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, +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" +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, Gl Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid" +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" +987,AdaptiveFace: Adaptive Margin and Sampling for Face Recognition,,https://github.com/haoliu1994/AdaptiveFace,,,,,,,Thursday,Poster 3.2,117,Hao Liu, +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" +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, +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" +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" +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" +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 YangJoshua Manela Michael HappoldDeva Ramanan +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" +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" +359,Semantic Graph Convolutional Networks for 3D Human Pose Regression,,https://github.com/garyzhao/SemGCN,,,,,,,Tuesday,Poster 1.2,95,Long Zhao, +358,Pedestrian Detection With Autoregressive Network Phases,,https://github.com/garrickbrazil/AR-Ped,,,,,,,Wednesday,Poster 2.2,49,Garrick Brazil,"Garrick Brazil, Xiaoming Liu" +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" +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" +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" +354,Spatial Fusion GAN for Image Synthesis,,https://github.com/fnzhan/SF-GAN,,,,,,,Tuesday,Poster 1.2,136,Fangneng Zhan, +960,ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification,,https://github.com/fnzhan/ESIR,,,,,,,Tuesday,Poster 1.1,208,Fangneng Zhan, +817,Frame-Consistent Recurrent Video Deraining With Dual-Level Flow,,https://github.com/flyywh/Dual-FLow-Video-Deraining-CVPR-2019,,,,,,,Tuesday,Poster 1.1,168,Wenhan Yang, +1105,Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video,,https://github.com/fjchange/object_centric_VAD,,,,,,,Wednesday,Poster 2.2,112,Radu Tudor Ionescu, +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" +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" +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" +1291,Attentive Single-Tasking of Multiple Tasks,,https://github.com/facebookresearch/astmt,,,,,,,Tuesday,Poster 1.1,187,Kevis-Kokitsi Maninis, +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" +706,GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud,,https://github.com/ericyi/GSPN,,,,,,,Tuesday,Poster 1.2,184,Li Yi, +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" +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" +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" +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" +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" +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" +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" +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" +341,MAGSAC: Marginalizing Sample Consensus,,https://github.com/danini/magsac,,,,,,,Thursday,Poster 3.1,158,Daniel Barath, +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" +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, +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" +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" +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" +1277,A Neural Temporal Model for Human Motion Prediction,,https://github.com/cr7anand/neural_temporal_models,,,,,,,Thursday,Poster 3.2,134,Anand Gopalakrishnan, +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" +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" +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" +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" +1067,Deep Defocus Map Estimation Using Domain Adaptation,,https://github.com/codeslake/SYNDOF,,,,,,,Thursday,Poster 3.2,145,Junyong Lee, +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) +563,"Monocular Total Capture: Posing Face, Body, and Hands in the Wild",,https://github.com/CMU-Perceptual-Computing-Lab/MonocularTotalCapture,,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" +679,Character Region Awareness for Text Detection,,https://github.com/clovaai/CRAFT-pytorch,,,,,,,Thursday,Poster 3.1,43,Youngmin Baek, +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" +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, +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" +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 " +902,"See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks",,https://github.com/carrierlxk/COSNet,,,,,,,Tuesday,Poster 1.2,115,Xiankai Lu, +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" +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" +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" +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" +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" +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-JimenezVicky KalogeitonPablo Medina-SuarezAndrew Zisserman +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" +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 " +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, +1224,Viewport Proposal CNN for 360deg Video Quality Assessment,,https://github.com/Archer-Tatsu/V-CNN,,,,,,,Thursday,Poster 3.1,156,Chen Li, +747,Attentive Feedback Network for Boundary-Aware Salient Object Detection,,https://github.com/ArcherFMY/AFNet,,,,,,,Tuesday,Poster 1.1,164,Mengyang Feng, +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" +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, +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 BatraSuriya SinghGuan PangSaikat BasuC.V. Jawahar1 Manohar Paluri +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" +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 +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" +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" +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" +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" +1059,All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation,,https://github.com/a514514772/DISE-Domain-Invariant-Structure-Extraction,,,,,,,Tuesday,Poster 1.1,192,Wei-Lun Chang, +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, +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" +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" +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" +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" 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, @@ -523,7 +552,6 @@ 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, @@ -574,21 +602,18 @@ 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, @@ -619,7 +644,7 @@ 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, +616,What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessmen,,,,,,Tuesday,Oral 1.1C,09:36,Tuesday,Poster 1.1,115,Paritosh Parmar, 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, @@ -697,7 +722,6 @@ 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, @@ -707,7 +731,6 @@ 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, @@ -748,7 +771,6 @@ 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, @@ -761,7 +783,6 @@ 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, @@ -817,15 +838,12 @@ 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, @@ -846,7 +864,6 @@ 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, @@ -896,12 +913,10 @@ 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, @@ -959,7 +974,6 @@ 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, @@ -978,7 +992,6 @@ 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, @@ -986,7 +999,6 @@ 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, @@ -1058,7 +1070,6 @@ 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, @@ -1084,11 +1095,9 @@ 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, @@ -1096,14 +1105,12 @@ 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, @@ -1209,7 +1216,6 @@ 1208,Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders,,,,,,,,,Tuesday,Poster 1.1,99,Yuxiang Zhou, 1209,An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition,,,,,,,,,Tuesday,Poster 1.1,124,Chenyang Si, 1210,LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks,,,,,,,,,Wednesday,Poster 2.1,35,Sudhakar Kumawat, -1211,Deeply-Supervised Knowledge Synergy,,,,,,,,,Wednesday,Poster 2.2,7,Dawei Sun, 1212,Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology,,,,,,,,,Thursday,Poster 3.2,201,Hiroki Tokunaga, 1213,The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation,,,,,,,,,Thursday,Poster 3.2,84,Dylan Campbell, 1214,PEPSI : Fast Image Inpainting With Parallel Decoding Network,,,,,,,,,Thursday,Poster 3.2,39,Min-cheol Sagong, @@ -1222,7 +1228,6 @@ 1221,DynTypo: Example-Based Dynamic Text Effects Transfer,,,,https://menyifang.github.io/projects/DynTypo/DynTypo.html?,,,,,Wednesday,Poster 2.1,163,Yifang Men,Yifang Men Zhouhui Lian Yingmin Tang Jianguo Xiao 1222,StereoDRNet: Dilated Residual StereoNet,,,,,,,,,Thursday,Poster 3.2,83,Rohan Chabra, 1223,Analysis of Feature Visibility in Non-Line-Of-Sight Measurements,,,,,,,,,Thursday,Poster 3.1,152,Xiaochun Liu, -1224,Viewport Proposal CNN for 360deg Video Quality Assessment,,,,,,,,,Thursday,Poster 3.1,156,Chen Li, 1225,"Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion",,,,,,,,,Tuesday,Poster 1.1,88,Alex Zihao Zhu, 1226,Sensitive-Sample Fingerprinting of Deep Neural Networks,,,,,,,,,Wednesday,Poster 2.1,17,Zecheng He, 1227,Octree Guided CNN With Spherical Kernels for 3D Point Clouds,,,,,,,,,Thursday,Poster 3.1,100,Huan Lei, @@ -1240,12 +1245,10 @@ 1239,Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment,,,,,,,,,Thursday,Poster 3.1,107,Pedro Miraldo, 1240,A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures,,,,,,,,,Wednesday,Poster 2.1,200,Yiqun Wang, 1241,Local Temporal Bilinear Pooling for Fine-Grained Action Parsing,,,,,,,,,Thursday,Poster 3.2,123,Yan Zhang, -1242,Deep Network Interpolation for Continuous Imagery Effect Transition,,,,,,,,,Tuesday,Poster 1.1,171,Xintao Wang, 1243,Towards Optimal Structured CNN Pruning via Generative Adversarial Learning,,,,,,,,,Tuesday,Poster 1.2,13,Shaohui Lin, 1244,Semantically Aligned Bias Reducing Zero Shot Learning,,,,,,,,,Wednesday,Poster 2.2,13,Akanksha Paul, 1245,Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks,,,,,,,,,Wednesday,Poster 2.1,99,Xiao Li, 1246,Temporal Cycle-Consistency Learning,,,,https://sites.google.com/view/temporal-cycle-consistency?,,,,,Tuesday,Poster 1.1,182,Debidatta Dwibedi,"Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman" -1247,FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation,,,,,,,,,Thursday,Poster 3.1,70,Paul Voigtlaender, 1248,DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama,,,,,,,,,Tuesday,Poster 1.2,89,Shang-Ta Yang, 1249,Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing,,,,,,,,,Tuesday,Poster 1.1,56,Jiaxin Chen, 1250,Joint Representative Selection and Feature Learning: A Semi-Supervised Approach,,,,,,,,,Wednesday,Poster 2.1,177,Suchen Wang, @@ -1275,7 +1278,6 @@ 1274,ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape,,,,,,,,,Tuesday,Poster 1.1,209,Fabian Manhardt, 1275,Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution,,,,,,,,,Thursday,Poster 3.1,162,Raied Aljadaany, 1276,Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation,,,,,,,,,Thursday,Poster 3.2,42,Fengda Zhu, -1277,A Neural Temporal Model for Human Motion Prediction,,,,,,,,,Thursday,Poster 3.2,134,Anand Gopalakrishnan, 1278,Orthogonal Decomposition Network for Pixel-Wise Binary Classification,,,,,,,,,Wednesday,Poster 2.1,183,Chang Liu, 1279,Blind Image Deblurring With Local Maximum Gradient Prior,,,,,,,,,Tuesday,Poster 1.1,176,Liang Chen, 1280,Emotion-Aware Human Attention Prediction,,,,,,,,,Tuesday,Poster 1.2,192,Macario O. Cordel II, @@ -1289,7 +1291,5 @@ 1288,Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction,,,,,,,,,Tuesday,Poster 1.1,179,Yifei Shi, 1289,Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples,,,,,,,,,Thursday,Poster 3.2,60,Jake Zhao (Junbo), 1290,Visual Query Answering by Entity-Attribute Graph Matching and Reasoning,,,,,,,,,Wednesday,Poster 2.2,200,Peixi Xiong, -1291,Attentive Single-Tasking of Multiple Tasks,,,,,,,,,Tuesday,Poster 1.1,187,Kevis-Kokitsi Maninis, 1292,Monocular Depth Estimation Using Relative Depth Maps,,,,,,,,,Thursday,Poster 3.1,110,Jae-Han Lee, -1293,Variational Bayesian Dropout With a Hierarchical Prior,,,,,,,,,Wednesday,Poster 2.2,20,Yuhang Liu, -1294,Deep Incremental Hashing Network for Efficient Image Retrieval,,,,,,,,,Thursday,Poster 3.1,12,Dayan Wu, \ No newline at end of file +1293,Variational Bayesian Dropout With a Hierarchical Prior,,,,,,,,,Wednesday,Poster 2.2,20,Yuhang Liu, \ No newline at end of file