2017-papers-summary

2017年所精读论文清单 ·Geodesic convolutional neural networks on Riemannian manifolds https://arxiv.org/abs/1501.06297 ·Geometric deep learning on graphs and manifolds using mixture model CNNs https://arxiv.org/abs/1611.08402 ·Deep Supervised Salient Object Detection with Short Connections http://mmcheng.net/dss/ ·Octree-based Convolutional Neural Networks for 3D Shape Analysis https://wang-ps.github.io/O-CNN_files/CNN3D.pdf ·Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis https://arxiv.org/abs/1612.00101v1 ·SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation https://arxiv.org/abs/1612.00606 ·Convolutional Neural Networks on Surfaces via Seamless Toric Covers http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=1&SID=8Fifb8cqdWekC1iFwKj&page=1&doc=1 ·GRASS Generative Recursive Autoencoders for Shape Structures http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=2&SID=8Fifb8cqdWekC1iFwKj&page=1&doc=1 ·Generative Adversarial Nets https://arxiv.org/abs/1703.02291v2 ·Conditional Generative Adversarial Nets https://arxiv.org/abs/1411.1784 ·UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS https://arxiv.org/abs/1511.06434