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
cvpr2019 accepted papers list:
http://cvpr2019.thecvf.com/files/cvpr_2019_final_accept_list.txt
论文PDF下载（更新中）
链接：https://pan.baidu.com/s/1s4FuLscWcslN5rQQvP92JA
提取码：osvy
Related paper links:(也欢迎大家推荐自己的CVPR2019文章，我们会及时更新上来,如有问题，欢迎指出）
221.Learning to Compose Dynamic Tree Structures for Visual Contexts（VQA,Oral）
作者：Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
论文链接：https://arxiv.org/abs/1812.01880
代码链接：https://github.com/KaihuaTang/VCTree-Visual-Question-Answering
220.Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
作者：Pelin Dogan, Leonid Sigal, Markus Gross
论文链接：https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/paper.pdf
代码链接：https://github.com/chenhsuanlin/photometric-mesh-optim
项目链接：https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/
219.Neural Sequential Phrase Grounding (SeqGROUND)
作者：Pelin Dogan, Leonid Sigal, Markus Gross
论文链接：https://arxiv.org/abs/1903.07669
218.Direct Object Recognition Without Line-of-Sight Using Optical Coherence(目标识别）
作者：Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
论文链接：https://arxiv.org/abs/1903.07705
217.Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
作者：Kun Yi, Jianxin Wu
论文链接：https://arxiv.org/abs/1903.07788
216.SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection（行人检测）
作者：Chengju Zhou,Meiqing Wu,Siew-Kei Lam
论文链接：https://arxiv.org/abs/1902.09080v1
论文简要：本文将语义分割结果作为自我关注线索进行探索，以显着提高行人检测性能。
215.MagicVO: End-to-End Monocular Visual Odometry through Deep Bi-directional Recurrent Convolutional Neural Network（单目视觉测距）
作者：Jian Jiao, Jichao Jiao, Yaokai Mo, Weilun Liu, Zhongliang Deng
论文链接：https://arxiv.org/abs/1811.10964
论文简要：本文提出了一种解决单眼视觉测距问题的新框架，称为MagicVO。 基于卷积神经网络（CNN）和双向LSTM（Bi-LSTM），MagicVO在摄像机的每个位置输出6-DoF绝对标度姿势，并以一系列连续单目图像作为输入。
214.Deep Rigid Instance Scene Flow
作者：Wei-Chiu Ma 、Shenlong Wang 、Rui Hu、Yuwen Xiong、 Raquel Urtasun
论文链接：https://people.csail.mit.edu/weichium/papers/cvpr19-dsisf/paper.pdf
论文简要：在本文中，我们解决了自动驾驶环境下的场景流量估计问题。 我们利用深度学习技术以及强大的先验，因为在我们的应用领域中，场景的运动可以由机器人的运动和场景中的演员的3D运动来组成。
213.Hierarchical Discrete Distribution Decomposition for Match Density Estimation（立体匹配）
作者：Zhichao Yin, Trevor Darrell, Fisher Yu
论文链接：https://arxiv.org/abs/1812.06264
论文简要：在本文中，我们提出了分层离散分布分解，称为HD3，以学习概率点和区域匹配。它不仅可以模拟匹配不确定性，还可以模拟区域传播。
212.From Adversarial Training to Generative Adversarial Networks
作者：Xuanqing Liu, Cho-Jui Hsieh
论文链接：https://arxiv.org/pdf/1807.10454.pdf
211.Learning Linear Transformations for Fast Arbitrary Style Transfer
作者：Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang
论文链接：https://arxiv.org/pdf/1808.04537v1.pdf
代码链接：https://github.com/sunshineatnoon/LinearStyleTransfer
210.Domain Generalization by Solving Jigsaw Puzzles
作者：Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi
论文链接：https://arxiv.org/abs/1903.06864
209.Fast Interactive Object Annotation with Curve-GCN
作者：Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler
论文链接：https://arxiv.org/abs/1903.06874
208.A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
作者：Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl
论文链接：https://arxiv.org/abs/1903.06916
207.Unsupervised Part-Based Disentangling of Object Shape and Appearance(Oral)
作者：Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer
论文链接：https://arxiv.org/abs/1903.06946
206.AdaGraph: Unifying Predictive and ContinuousDomain Adaptation through Graphs(Oral)
作者：Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci
论文链接：https://arxiv.org/abs/1903.07062
205.Inverse Path Tracing for Joint Material and Lighting Estimation(Oral)
作者：Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan
论文链接：https://arxiv.org/abs/1903.07145
204.QATM: Quality-Aware Template Matching For Deep Learning
作者：Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan
论文链接：https://arxiv.org/abs/1903.07254
203.Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
作者：Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li
论文链接：https://arxiv.org/abs/1903.07256
202.Semantic Image Synthesis with Spatially-Adaptive Normalization(Oral, 英伟达)
作者：Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
论文链接：https://arxiv.org/abs/1903.07291
201.Self-calibrating Deep Photometric Stereo Networks(Oral)
作者：Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong
论文链接：https://arxiv.org/abs/1903.07366
项目链接：http://gychen.org/SDPS-Net/
代码链接：https://github.com/guanyingc/SDPS-Net
200.Understanding the Limitations of CNN-based Absolute Camera Pose Regression
作者：Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixe
论文链接：https://arxiv.org/abs/1903.07504
199.Learning Correspondence from the Cycle-Consistency of Time
作者：Xiaolong Wang, Allan Jabri, Alexei A. Efros
论文链接：https://arxiv.org/abs/1903.07593
项目链接：https://ajabri.github.io/timecycle/
198.SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images（金山云大规模X光违禁品安检数据集）
作者：Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye
论文链接：https://arxiv.org/abs/1901.00303
论文简要：本文针对X光安检数据集，提出了类别平衡的分层细化模型处置数据集存在的成绩。
197.Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning（金山云）
作者：Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille
论文链接：https://arxiv.org/abs/1812.00329
论文简要：本文提出一种适用于恣意网格尺寸与维度的“拼图”成绩的新办法，同时提出了一个根本且具有普遍意义的准绳，即在无监视场景中较弱的信息更容易被学习，且具有更好的可迁移性。
196.Snapshot Distillation: Teacher-Student Optimization in One Generation（金山云）
作者：Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille
论文链接：https://arxiv.org/abs/1812.00123v1
论文简要：本文引见了第一种可以在训练单个模型的条件下完成教员-先生优化的办法——快照蒸馏(Snapshot Distillation)，在不引入过多的计算耗费状况下，完成了继续的功能提升。
195.Pluralistic Image Completion
作者：Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
论文链接：https://arxiv.org/abs/1903.04227
源码链接：https://github.com/lyndonzheng/Pluralistic-Inpainting
项目链接：http://www.chuanxiaz.com/publication/pluralistic/
194.Learning to Reconstruct People in Clothing from a Single RGB Camera
作者：Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll
论文链接：https://arxiv.org/abs/1903.05885
193.Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation(oral)
作者：He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas
论文链接：https://arxiv.org/abs/1901.02970
192.SimulCap : Single-View Human Performance Capture with Cloth Simulation
作者：Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Qionghai Dai, Gerard Pons-Moll, Yebin Liu
论文链接：https://arxiv.org/abs/1903.06323
191.Unsupervised Person Re-identification by Soft Multilabel Learning(行人再识别，Oral)
作者：Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
论文链接：https://arxiv.org/abs/1903.06325
源码链接：https://github.com/KovenYu/MAR
190.SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representation
作者：Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
论文链接：https://arxiv.org/abs/1903.06482
189.MFAS: Multimodal Fusion Architecture Search
作者：Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux, Moez Baccouche, Frédéric Jurie
论文链接：https://arxiv.org/abs/1903.06496
188.Bringing Blurry Alive at High Frame-Rate with an Event Camera
作者：Liyuan Pan, Richard Hartley, Cedric Scheerlinck, Miaomiao Liu, Xin Yu, Yuchao Dai
论文链接：https://arxiv.org/abs/1903.06531
187.Inserting Videos into Videos
作者：Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang
论文链接：https://arxiv.org/abs/1903.06571
186.Selective Kernel Networks
作者：Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang
论文链接：https://arxiv.org/abs/1903.06586
源码链接：https://github.com/implus/SKNet
185.Neural Scene Decomposition for Multi-Person Motion Capture
作者：Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
论文链接：https://arxiv.org/abs/1903.05684
184.Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
作者：Xueting Li, SIfei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz
论文链接：https://arxiv.org/abs/1903.05690
183.Learning Parallax Attention for Stereo Image Super-Resolution(图像超分辨)
作者：Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
论文链接：https://arxiv.org/abs/1903.05784
代码链接：https://github.com/LongguangWang/PASSRnet
182.MirrorGAN: Learning Text-to-image Generation by Redescription
作者：Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao
论文链接：https://arxiv.org/abs/1903.05854
181.Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
作者：Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
论文链接：https://arxiv.org/abs/1903.05942
180.Bag of Tricks for Image Classification with Convolutional Neural Networks
作者：Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
论文链接：https://arxiv.org/abs/1812.01187
源码链接：https://github.com/dmlc/gluon-cv
179.Structured Knowledge Distillation for Semantic Segmentation（语义分割）
作者：Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
论文链接：https://arxiv.org/abs/1903.04197
178.ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch(Oral)
作者：Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei
论文链接：https://arxiv.org/abs/1810.08425v3
源码链接：https://github.com/KimSoybean/ScratchDet
177.Scene Categorization from Contours: Medial Axis Based Salience Measures
作者：Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther, Allan Jepson, Sven Dickinson, Kaleem Siddiqi
论文链接：https://arxiv.org/abs/1811.10524v1
176.Point in, Box out: Beyond Counting Persons in Crowds
作者：待更新
论文链接：https://github.com/xiaofanglegoc/xiaofanglegoc.github.io/blob/master/publications/cvpr2019.pdf
175.3D Guided Fine-Grained Face Manipulation
作者：Zhenglin Geng, Chen Cao, Sergey Tulyakov
论文链接：https://arxiv.org/abs/1902.08900
简要：Disentangle shape and texture and can continuously manipulate the facial expression.
174.Depth Coefficients for Depth Completion
作者：Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris
论文链接：https://arxiv.org/abs/1903.05421v1
简要：The goal is to obtain high resolution depth images from sparse Lidar + color video.
173.LaSO: Label-Set Operations networks for multi-label few-shot learning(oral)
作者：Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein
论文链接：https://arxiv.org/abs/1902.09811
172.Peeking into the Future: Predicting Future Person Activities and Locations in Videos(行为预测）
作者：Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei
论文链接：https://arxiv.org/abs/1902.03748
171.All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification（分类）
作者：Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu
论文链接：https://arxiv.org/abs/1903.05285
170.Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Intervention
作者：Khanh Nguyen, Debadeepta Dey, Chris Brockett, Bill Dolan
论文链接：https://arxiv.org/abs/1812.04155
169.Hardness-Aware Deep Metric Learning（oral)
作者：Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou
论文链接：https://arxiv.org/abs/1903.05503
代码链接：https://github.com/wzzheng/HDML（待更新）
168.RVOS: End-to-End Recurrent Network for Video Object Segmentation
作者：Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto
论文链接：https://arxiv.org/abs/1903.05612
项目链接：https://imatge-upc.github.io/rvos/
167.Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
作者：Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang
论文链接：https://arxiv.org/abs/1903.05628
代码链接：https://github.com/HelenMao/MSGAN （待更新）
166.A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem
作者：Ganzhao Yuan, Li Shen, Wei-Shi Zheng
论文链接：https://arxiv.org/abs/1802.09303
165.Bringing Alive Blurred Moments
作者：Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan
论文链接：https://arxiv.org/abs/1804.02913
164.Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
作者：Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black
论文链接：https://arxiv.org/abs/1805.09806
163.ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
作者：Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu
论文链接：https://arxiv.org/abs/1811.11968
162.Tangent-Normal Adversarial Regularization for Semi-supervised Learning
作者：Bing Yu, Jingfeng Wu, Jinwen Ma, Zhanxing Zhu
论文链接：https://arxiv.org/abs/1808.06088
161.Handwriting Recognition in Low-resource Scripts using Adversarial Learning
作者：Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy
论文链接：https://arxiv.org/abs/1811.01396
160.Large-scale Distributed Second-order Optimization Using Kronecker-factored Approximate Curvature for Deep Convolutional Neural Networks
作者：Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka
论文链接：https://arxiv.org/abs/1811.12019
159.CollaGAN : Collaborative GAN for Missing Image Data Imputation
作者：Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye
论文链接：https://arxiv.org/abs/1901.09764
158.A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images(oral)
作者：Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong
论文链接：https://arxiv.org/abs/1903.04704
157.PoseFix: Model-agnostic General Human Pose Refinement Network
作者：Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
论文链接：https://arxiv.org/abs/1812.03595
源码链接：https://github.com/mks0601/PoseFix_RELEASE
156.Dissecting Person Re-identification from the Viewpoint of Viewpoint(行人再识别）
作者：Xiaoxiao Sun, Liang Zheng
论文链接：https://arxiv.org/abs/1812.02162
源码链接：https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint
155.HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation
作者：Cheng Sun, Chi-Wei Hsiao, Min Sun, Hwann-Tzong Chen
论文链接：https://arxiv.org/abs/1901.03861
源码链接：https://github.com/sunset1995/HorizonNet
154.Scan2CAD: Learning CAD Model Alignment in RGB-D Scans(oral)
作者：Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner
论文链接：https://arxiv.org/abs/1811.11187
源码链接：https://github.com/skanti/Scan2CAD
简要：Present Scan2CAD, a novel data-driven method that learns to align 3D CAD models from a shape database to 3D scans.
153.Real-time self-adaptive deep stereo(oral)
作者：Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano
论文链接：https://arxiv.org/abs/1903.04704
源码链接：https://github.com/CVLAB-Unibo/Real-time-self-adaptive-deep-stereo
152.A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images(oral)
作者：Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong
论文链接：https://arxiv.org/abs/1903.04704
151.Dense Classification and Implanting for Few-Shot Learning
作者：Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc
论文链接：https://arxiv.org/abs/1903.05050
150.Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search
作者：Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng
论文链接：https://arxiv.org/abs/1903.03777
149.Video Generation from Single Semantic Label Map
作者：Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang
论文链接：https://arxiv.org/abs/1903.04480
源码链接：https://github.com/junting/seg2vid/tree/master
148.SSN: Learning Sparse Switchable Normalization via SparsestMax
作者：Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo
论文链接：https://arxiv.org/abs/1903.03793
147.Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
作者：Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese
论文链接：https://arxiv.org/abs/1903.03878
146.Fast Single Image Reflection Suppression via Convex Optimization
作者：Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu
论文链接：https://arxiv.org/abs/1903.03889
145.Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation (POINT^2)
作者：Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Kevin Zhou
论文链接：https://arxiv.org/abs/1903.03896
144.Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes
作者：Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu
论文链接：https://arxiv.org/abs/1903.03911
143.Deep Robust Subjective Visual Property Prediction in Crowdsourcing
作者：Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
论文链接：https://arxiv.org/abs/1903.03956
142.Group-wise Correlation Stereo Network（立体匹配）
作者：Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li
论文链接：https://arxiv.org/abs/1903.04025
代码链接：https://github.com/xy-guo/GwcNet
论文简要：立体匹配估计整流图像对之间的差异，这对深度感测、自动驾驶和其他相关任务非常重要。在本文中，通过分组相关来构建成本量。
141.Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation（领域自适应）
作者：Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht
论文链接：https://arxiv.org/abs/1903.04064
140.HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
作者：Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
论文链接：https://arxiv.org/abs/1903.04120
139.Structured Knowledge Distillation for Semantic Segmentation(语义分割）
作者：Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
论文链接：https://arxiv.org/abs/1903.04197
论文解读：微软亚研院提出用于语义分割的结构化知识蒸馏
138.Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
作者：Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci
论文链接：https://arxiv.org/pdf/1903.04202.pdf
137.Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
作者：Adrian V. Dalca, John Guttag, Mert R. Sabuncu
论文链接：https://arxiv.org/abs/1903.03148
136.Ranked List Loss for Deep Metric Learning
作者：Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil M. Robertson
论文链接：https://arxiv.org/abs/1903.03238
135.Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
作者：Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, Svetha Venkatesh
论文链接：https://arxiv.org/abs/1903.03295
134.Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image(oral)
作者：Xiaoguang Han, Zhaoxuan Zhang, Dong Du, Mingdai Yang, Jingming Yu, Pan Pan, Xin Yang, Ligang Liu, Zixiang Xiong, Shuguang Cui.
论文链接：https://arxiv.org/abs/1903.04704
133.Knowledge-Embedded Routing Network for Scene Graph Generation
作者：Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin
论文链接：https://arxiv.org/abs/1903.03326
132.Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
作者：Anjan Dutta, Zeynep Akata
论文链接：https://arxiv.org/abs/1903.03372
131.FlowNet3D: Learning Scene Flow in 3D Point Clouds
作者：Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
论文链接：https://arxiv.org/abs/1806.01411
简要：Proposed a novel deep neural network that learns scene flow from point clouds in an end-to-end fashion.
130.Generating 3D Adversarial Point Clouds
作者：Chong Xiang (1), Charles R. Qi (2), Bo Li (3) ((1) Shanghai Jiao Tong Univerisity, (2) Stanford University, (3) University of Illinois at Urbana-Champaign)
论文链接：https://arxiv.org/abs/1809.07016
简要：Proposed several novel algorithms to craft adversarial point clouds against 3D deep learning models with adversarial points perturbation and adversarial points generation.
129.Adversarial Defense by Stratified Convolutional Sparse Coding
作者：Bo Sun, Nian-hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su
论文链接：https://arxiv.org/abs/1812.00037
简要：An attack-agnostic defense mechanism for neural networks.
128.Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
作者：Shilin Zhu, Xin Dong, Hao Su
论文链接：https://arxiv.org/abs/1806.07550
简要：Ensemble of binary neural networks has better stability and robustness, and may perform as well as floating-point networks.
127.ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
作者：Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang
论文链接：https://arxiv.org/abs/1811.12222
简要：The first large-scale database suitable for 3D car instance understanding, ApolloCar3D, collected by Baidu. The dataset contains 5,277 driving images and over 60K car instances, where each car is fitted with an industry-grade 3D CAD model with absolute model size and semantically labelled keypoints.
126.PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
作者：Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su
项目链接：https://cs.stanford.edu/~kaichun/partnet/
论文链接：https://arxiv.org/abs/1812.02713
简要：A 3D object database with fine-grained and hierarchical part annotation. To assist segmentation and affordance research.
125.A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
作者：Yinghao Xu, Xin Dong, Yudian Li, Hao Su
论文链接：https://arxiv.org/abs/1812.04210
简要：A simple learning-based binary neural network pruning scheme.
124.FML: Face Model Learning from Videos(Oral)
作者：A. Tewari F. Bernard P. Garrido G. Bharaj M. Elgharib H-P. Seidel P. Perez M. Zollhöfer C.Theobalt
项目链接：http://gvv.mpi-inf.mpg.de/projects/FML19/
论文链接：http://gvv.mpi-inf.mpg.de/projects/FML19/paper.pdf
论文解读：这个面部3D重建模型，造出了6000多个名人的数字面具
123.FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search(Facebook mobile vision team)
作者：Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
论文链接：https://arxiv.org/abs/1812.03443
122.ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation(Facebook mobile vision team)
作者：Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
论文链接：https://arxiv.org/abs/1812.08934
121.RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
作者：Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
论文链接：https://arxiv.org/abs/1903.02741
项目链接：https://wellyzhang.github.io/project/raven.html
120.SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction
作者：Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, Nanning Zheng
论文链接：https://arxiv.org/abs/1903.02793
119.Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
作者：Weifeng Ge, Xiangru Lin, Yizhou Yu
论文链接：https://arxiv.org/abs/1903.02827
118.COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis
作者：Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
论文链接：https://arxiv.org/abs/1903.02874
项目链接：https://coin-dataset.github.io/
代码链接：https://github.com/coin-dataset/code
论文解读：业内最大规模！美图联合清华推出教程类行为数据集 COIN
117.Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics（多目标跟踪)
作者：Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit
论文链接：https://arxiv.org/abs/1812.01157
116.Latent Space Autoregression for Novelty Detection
作者：Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
论文链接：https://arxiv.org/abs/1807.01653
代码链接: https://github.com/aimagelab/novelty-detection
115.PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
作者：Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, and Xiaowei Zhou
论文链接：https://arxiv.org/pdf/1812.11788.pdf
代码链接：https://github.com/zju-3dv/pvnet
114.Learning Transformation Synchronization
作者：Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas Guibas, and Qixing Huang
论文链接：https://arxiv.org/pdf/1901.09458.pdf
代码链接: https://github.com/xiangruhuang/Learning2Sync
113.Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion (Oral)
作者：Zhenpei Yang, Jeffrey Z.Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman and Qixing Huang
论文链接：https://arxiv.org/pdf/1901.00063.pdf
代码链接: https://github.com/zhenpeiyang/RelativePose
112.Path-Invariant Map Networks (Oral)
作者：Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou and Qixing Huang
论文链接：https://arxiv.org/pdf/1812.11647.pdf
代码链接: https://github.com/zaiweizhang/path_invariance_map_network
111.Taking a Deeper Look at the Inverse Compositional Algorithm(oral)
作者：Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger
论文链接：https://arxiv.org/pdf/1812.06861.pdf
代码链接：https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm
110.Learning Attraction Field Representation for Robust Line Segment Detection
作者：Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
论文链接：https://arxiv.org/abs/1812.02122
代码链接：https://github.com/cherubicXN/afm_cvpr2019
109.Learning Deep Compositional Grammatical Architectures for Visual Recognition
作者：Xilai Li, Tianfu Wu, Xi Song
论文链接：https://arxiv.org/abs/1711.05847
代码链接：https://github.com/xilaili/AOGNet
108.Toward Convolutional Blind Denoising of Real Photographs
作者：Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang
论文链接：https://arxiv.org/abs/1807.04686
代码链接：https://github.com/GuoShi28/CBDNet
107.Selective Sensor Fusion for Neural Visual-Inertial Odometry
作者：Changhao Chen, Stefano Rosa, Yishu Miao, Chris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni
论文链接：https://arxiv.org/abs/1903.01534
106.Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
作者：Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou
论文链接：https://arxiv.org/abs/1901.04111
项目链接：https://zju-3dv.github.io/mvpose/
代码链接：https://github.com/zju-3dv/mvpose
105.Unsupervised Domain-Specific Deblurring via Disentangled Representations
作者：Boyu Lu, Jun-Cheng Chen, Rama Chellappa
论文链接：https://arxiv.org/abs/1903.01594
104.Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search（oral)
作者：Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
论文链接：https://arxiv.org/abs/1903.01612
103.Leveraging Shape Completion for 3D Siamese Tracking
作者：Silvio Giancola, Jesus Zarzar, Bernard Ghanem
论文链接：https://arxiv.org/abs/1903.01784
102.MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
作者：Yazan Abu Farha, Juergen Gall
论文链接：https://arxiv.org/abs/1903.01945
101.Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation（非最终版）
作者：Zhi Tian, Chunhua Shen, Tong He, Youliang Yanl
论文链接：https://arxiv.org/abs/1903.02120
源码链接：https://github.com/LinZhuoChen/DUpsampling (an unofficial pytorch implementation)
100.Deep Transfer Learning for Multiple Class Novelty Detection
作者：Pramuditha Perera, Vishal M. Patel
论文链接：https://arxiv.org/abs/1903.02196
99.Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
作者：Muhammed Kocabas, Salih Karagoz, Emre Akbas
论文链接：https://arxiv.org/abs/1903.02330
Github链接：https://github.com/mkocabas/EpipolarPose
98.CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
作者：Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen
论文链接：https://arxiv.org/abs/1903.02351
97.Object Counting and Instance Segmentation with Image-level Supervision
作者：Hisham Cholakkal, Guolei Sun (equal contribution), Fahad Shahbaz Khan, Ling Shao
论文链接：https://arxiv.org/abs/1903.02494
96.Understanding and Visualizing Deep Visual Saliency Models
作者：Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault
论文链接：https://arxiv.org/abs/1903.02501
95.Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation(oral)
作者：Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha Srinivasa
论文链接：https://arxiv.org/abs/1903.02547
YouTube:https://youtu.be/ik9uz06Fcpk
94.The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation(oral)
作者：Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira
论文链接：https://arxiv.org/abs/1903.01602
Github:https://github.com/chihyaoma/regretful-agent
93.Variational Autoencoders Pursue PCA Directions (by Accident)
作者：Michal Rolinek, Dominik Zietlow, Georg Martius
论文链接：https://arxiv.org/abs/1812.06775
92.Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
作者：Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
论文链接：https://arxiv.org/abs/1902.03680
91.3D Point-Capsule Networks
作者：Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
论文链接：https://arxiv.org/abs/1812.10775
90.Image Super-Resolution by Neural Texture Transfer
作者：Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi
论文链接：https://arxiv.org/pdf/1903.00834.pdf
项目链接：http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html
代码链接：https://github.com/ZZUTK/SRNTT
89.Representation Flow for Action Recognition
作者：AJ Piergiovanni, Michael S. Ryoo
论文链接：https://arxiv.org/abs/1810.01455
项目链接：https://piergiaj.github.io/rep-flow-site/
代码链接：https://github.com/piergiaj/representation-flow-cvpr19
88.Feature Selective Anchor-Free Module for Single-Shot Object Detection
作者：Chenchen Zhu, Yihui He, Marios Savvides
论文链接：https://arxiv.org/abs/1903.00621
论文解读：FSAF：来自CMU的Single-Shot目标检测算法
87.PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
作者：Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu
论文链接：https://arxiv.org/abs/1903.00709
86.AIRD: Adversarial Learning Framework for Image Repurposing Detection
作者：Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan
论文链接：https://arxiv.org/abs/1903.00788
85.3D Hand Shape and Pose Estimation from a Single RGB Image
作者：Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan
论文链接：https://arxiv.org/abs/1903.00812
84.Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing
作者：Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li
论文链接：https://arxiv.org/abs/1903.00839
83.Less is More: Learning Highlight Detection from Video Duration
作者：Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman
论文链接：https://arxiv.org/abs/1903.00859
82.Collaborative Spatio-temporal Feature Learning for Video Action Recognition(行为识别）
作者：Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu
论文链接：https://arxiv.org/abs/1903.01197
81.RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
作者：Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian Reid
论文链接：https://arxiv.org/abs/1903.00620
80.Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
作者：Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
论文链接：https://arxiv.org/abs/1811.10652
代码链接：https://github.com/aimagelab/show-control-and-tell
79.Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
作者：Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
论文链接：https://arxiv.org/abs/1811.10666
78.Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem（oral)
作者：Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
论文链接：https://arxiv.org/abs/1812.05720
Reading Note:In the paper, we give a theoretical argument of why ReLU activation can lead to models with overconfident predictions. Moreover, we propose a robust optimization training scheme that mitigates this problem.
77.Hybrid Task Cascade for Instance Segmentation（实例分割）
作者：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
论文链接：https://arxiv.org/abs/1901.07518
论文解读：https://mp.weixin.qq.com/s/xug0xKfc9RgJEUci1a_xog
Github链接：https://github.com/open-mmlab/mmdetection
76.Region Proposal by Guided Anchoring（检测）
作者：Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin
论文链接：https://arxiv.org/abs/1901.03278
论文解读：https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g
Github链接：https://github.com/open-mmlab/mmdetection
75.Self-supervised Learning of Dense Shape Correspondence(Oral Presentation)
作者：Oshri Halimi, Or Litany, Emanuele Rodolà, Alex Bronstein, Ron Kimmel
论文链接：https://arxiv.org/abs/1812.02415
74.A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
作者：Saeid Asgari Taghanaki Kumar Abhishek1 Shekoofeh Azizi and Ghassan Hamarneh
论文链接：http://cs.sfu.ca/~hamarneh/ecopy/cvpr2019.pdf
Arxiv链接：https://arxiv.org/abs/1903.01015
73.RepMet: Representative-based metric learning for classification and one-shot object detection
作者：Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, Alex M. Bronstein
论文链接：https://arxiv.org/abs/1806.04728
72.Handwriting Recognition in Low-resource Scripts using Adversarial Learning
作者：Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy
论文链接：https://arxiv.org/pdf/1811.01396.pdf
71.DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
作者：Li Ding, Chen Feng
论文链接：https://arxiv.org/abs/1811.11397
项目链接：https://ai4ce.github.io/DeepMapping/
70.Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks
作者：Nima Mohajerin, Mohsen Rohani
论文链接：https://arxiv.org/pdf/1812.09395.pdf
69.On the Continuity of Rotation Representations in Neural Networks
作者：Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li
论文链接：https://arxiv.org/pdf/1812.07035.pdf
68.LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking(目标跟踪）
作者：Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling
论文链接：https://arxiv.org/pdf/1809.07845.pdf
project链接：https://cis.temple.edu/lasot/
67.Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking(CRPN,目标跟踪）
作者：Heng Fan, Haibin Ling
论文链接：https://arxiv.org/pdf/1812.06148.pdf
66.SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks(目标跟踪）
作者：Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan
论文链接：https://arxiv.org/pdf/1901.01660.pdf
Project链接：http://bo-li.info/SiamRPN++/
论文解读：https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ
65.Deeper and Wider Siamese Networks for Real-Time Visual Tracking(CIR,目标跟踪）
作者：Zhipeng Zhang, Houwen Peng
论文链接：https://arxiv.org/pdf/1901.01660.pdf
Code链接：https://gitlab.com/MSRA_NLPR/deeper_wider_siamese_trackers
64.Fast Online Object Tracking and Segmentation: A Unifying Approach(SiamMask,目标跟踪）
作者：Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr
论文链接：https://arxiv.org/abs/1812.05050
Github链接：https://github.com/foolwood/SiamMask
project链接：http://www.robots.ox.ac.uk/~qwang/SiamMask/
论文解读：SiamMask：视频跟踪最高精度
63.Mask Scoring R-CNN
作者：Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang
论文链接：https://arxiv.org/abs/1903.00241
Github链接：https://github.com/zjhuang22/maskscoring_rcnn
论文解读：https://mp.weixin.qq.com/s/aP7O7AF6WoynWK_FFHkOTw
62.Octree guided CNN with Spherical Kernels for 3D Point Clouds
作者：Huan Lei, Naveed Akhtar, Ajmal Mian
论文链接：https://arxiv.org/abs/1903.00343
61.Context-Aware Visual Compatibility Prediction
作者：Guillem Cucurull, Perouz Taslakian, David Vazquez
论文链接：https://arxiv.org/abs/1902.03646
Reading Note:It proposes a graph convolutional neural network that predicts compatibility between two items based on their visual features, as well as their context
60.Competitive Collaboration: Joint Unsupervised Learning of Depth, CameraMotion, Optical Flow and Motion Segmentation
作者：Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black
论文链接：https://arxiv.org/pdf/1805.09806.pdf
Reading Note:Single view depth prediction, camera motion estimation, optical flow, and segmentation of a video into the static scene and moving regions are challenging but coupled problems. Our key insight is that these four fundamental vision problems are coupled through geometric constraints. Thus, we introduce Competitive Collaboration, a framework that facilitates the coordinated training of multiple specialized neural networks to solve complex problems.
59.Neural RGB-D Sensing: Depth estimation from a video
作者：Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
论文链接：https://arxiv.org/pdf/1901.02571.pdf
project链接：https://research.nvidia.com/publication/2019-06_Neural-RGBD
Reading Note:In this paper, we propose a deep learning (DL) method to estimate per-pixel depth and its uncertainty continuously from a monocular video stream, with the goal of effectively turning an RGB camera into an RGB-D camera. Unlike prior DL-basedmethods, we estimate a depth probability distribution for each pixel rather than a single depth value, leading to an estimate of a 3D depth probability volume for each input frame.
58.PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
作者：Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz
论文链接：https://arxiv.org/pdf/1812.04072.pdf
project链接：https://research.nvidia.com/publication/2019-06_PlaneRCNN
Reading Note:This paper proposes a deep neural architecture, PlaneR-CNN, that detects and reconstructs piecewise planar surfaces from a single RGB image. PlaneRCNN employs a variant of Mask R-CNN to detect planes with their plane parameters and segmentation masks. PlaneRCNN then jointly refines all the segmentation masks with a novel loss enforcing the consistency with a nearby view during training.
57.A General and Adaptive Robust Loss Function(Oral Presentation)
作者：Jonathan T. Barron
论文链接：https://arxiv.org/abs/1701.03077
Reading Note:A single robust loss function is a superset of many other common robust loss functions, and allows training to automatically adapt the robustness of its own loss.
56.Learning to Synthesize Motion Blur(Oral Presentation)
作者：Tim Brooks, Jonathan T. Barron
论文链接：https://arxiv.org/abs/1811.11745
project链接：http://timothybrooks.com/tech/motion-blur/
Reading note:Frame interpolation techniques can be used to train a network to directly synthesize linear motion blur.
55.Unprocessing Images for Learned Raw Denoising (Oral Presentation)
作者：Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron
论文链接：https://arxiv.org/abs/1811.11127
project链接：http://timothybrooks.com/tech/unprocessing/
Reading note:We can learn a better denoising model by processing and unprocessing images the same way a camera does.
54.Combining 3D Morphable Models: A Large scale Face-and-Head Model
作者：Stylianos Ploumpis, Haoyang Wang, Nick Pears, William A. P. Smith, Stefanos Zafeiriou
论文链接：https://arxiv.org/abs/1903.03785
53.Bi-Directional Cascade Network for Perceptual Edge Detection
作者：Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang
论文链接：https://arxiv.org/abs/1902.10903
Github源码：https://github.com/pkuCactus/BDCN
52.Dual Attention Network for Scene Segmentation
作者：Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu
论文链接：https://arxiv.org/abs/1809.02983
Github源码：https://github.com/junfu1115/DANet
51.Object-driven Text-to-Image Synthesis via Adversarial Training
作者：Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao
论文链接：https://arxiv.org/abs/1902.10740
50.Joint Face Detection and Facial Motion Retargeting for Multiple Faces
作者：Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang
论文链接：https://arxiv.org/abs/1902.10744
49.End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization
作者：Yeonwoo Jeong, Yoonsuing Kim, Hyun Oh Song
论文链接：https://arxiv.org/abs/1902.10990
代码链接：https://github.com/maestrojeong/Deep-Hash-Table-CVPR19
48.Efficient Video Classification Using Fewer Frames
作者：Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra
论文链接：https://arxiv.org/abs/1902.10640
来源：https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q
47.Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference
作者：Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan
论文链接：https://arxiv.org/abs/1902.10556
代码链接：https://github.com/YoYo000/MVSNet
来源：https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q
46.Single-frame Regularization for Temporally Stable CNNs（视频处理）
作者：Gabriel Eilertsen, Rafał K. Mantiuk, Jonas Unger
论文链接：https://arxiv.org/abs/1902.10424
来源：https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q
45.FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
作者：Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
论文链接：https://arxiv.org/abs/1902.10421
来源：https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q
44.Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
作者：Nayyer Aafaq, Naveed Akhtar, Wei Liu, Syed Zulqarnain Gilani, Ajmal Mian
论文链接：https://arxiv.org/abs/1902.10322
来源：https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q
43.Self-Supervised Generative Adversarial Networks
作者：Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
论文链接：https://arxiv.org/abs/1811.11212
Github链接：https://github.com/google/compare_gan
42.RePr: Improved Training of Convolutional Filters
作者：Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang
论文链接：https://arxiv.org/abs/1811.07275
41.Data augmentation using learned transforms for one-shot medical image segmentation
作者：Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
论文链接：https://arxiv.org/abs/1902.09383
40.Monocular Total Capture: Posing Face, Body, and Hands in the Wild
作者：Donglai Xiang, Hanbyul Joo, Yaser Sheikh
论文链接：https://arxiv.org/pdf/1812.01598.pdf
项目链接：http://domedb.perception.cs.cmu.edu/monototalcapture.html
39.3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
作者：Ji Hou Angela Dai Matthias Nießner
论文链接：https://niessnerlab.org/projects/hou20183dsis.html
YouTube视频：https://youtu.be/IH9rNLD1-JE
38.MUREL: Multimodal Relational Reasoning for Visual Question Answering
作者：Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
论文链接：https://arxiv.org/abs/1902.09487
github链接：https://github.com/Cadene/murel.bootstrap.pytorch
37.ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
作者：Fabian Manhardt, Wadim Kehl, Adrien Gaidon
论文链接：https://arxiv.org/abs/1812.02781
36.GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
作者：Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
论文链接：https://arxiv.org/abs/1902.05978
github链接：https://github.com/barisgecer/ganfit
35.Disentangled Representation Learning for 3D Face Shape
作者：Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang
Github链接：https://github.com/zihangJiang/DR-Learning-for-3D-Face
论文链接：https://arxiv.org/abs/1902.09887
34.RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
作者：Bastian Wandt, Bodo Rosenhahn
论文链接：https://arxiv.org/abs/1902.09868
33.Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding（开源）
作者：Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao
论文链接：https://arxiv.org/abs/1902.09777
代码链接：https://github.com/svip-lab/PlanarReconstruction
来源：https://mp.weixin.qq.com/s/mamDhLUw6O9v8gldyIOPUA
32.Learning a Deep ConvNet for Multi-label Classification with Partial Labels(分类)
作者：Thibaut Durand, Nazanin Mehrasa, Greg Mori
论文链接：https://arxiv.org/abs/1902.09720
来源：https://mp.weixin.qq.com/s/mamDhLUw6O9v8gldyIOPUA
31.3D Hand Shape and Pose from Images in the Wild
作者：Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr
论文链接：https://arxiv.org/pdf/1902.03451.pdf
Github链接：https://github.com/boukhayma/3dhand
30.Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression(检测）
作者：Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese
论文链接：https://arxiv.org/abs/1902.09630
来源：https://mp.weixin.qq.com/s/mamDhLUw6O9v8gldyIOPUA
论文解读：https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw
29.Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving（自动驾驶）
作者：Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
论文链接：https://arxiv.org/abs/1812.07179
项目链接：https://mileyan.github.io/pseudo_lidar/
代码链接：https://github.com/mileyan/pseudo_lidar
28.MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
作者：Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis
论文链接：https://arxiv.org/pdf/1812.00087.pdf
27.Associatively Segmenting Instances and Semantics in Point Clouds（点云分割，开源）
作者：Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia
论文链接：https://arxiv.org/abs/1902.09852
代码链接：https://github.com/WXinlong/ASIS
- Efficient Parameter-free Clustering Using First Neighbor Relations(Oral)
作者：M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
论文链接：https://arxiv.org/abs/1902.11266
源码链接：https://github.com/ssarfraz/FINCH-Clustering
Reading Notes:FINCH, a new clustering algorithm, absolutily no hyperparameters , no need to specify no. of clusters. Scalable(Memory O(N)), very fast (ON(logN)) clusters ~8 million samples in 18 minutes on standard CPU.
25.Stereo R-CNN based 3D Object Detection for Autonomous Driving（3D检测）
作者：Peiliang Li, Xiaozhi Chen, Shaojie Shen
论文链接：https://arxiv.org/abs/1902.09738
论文解读：Stereo R-CNN 3D 目标检测
24.Image-Question-Answer Synergistic Network for Visual Dialog
作者：Dalu Guo, Chang Xu, Dacheng Tao
论文链接：https://arxiv.org/abs/1902.09774
1、Attention-guided Unified Network for Panoptic Segmentation（全景分割）
作者：Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang
论文链接：https://arxiv.org/abs/1812.03904
论文解读：https://mp.weixin.qq.com/s/1tohID6SM3weS476XU5okw
2、Deep High-Resolution Representation Learning for Human Pose Estimation(目前SOTA,已经开源)
作者：Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang
论文链接：https://128.84.21.199/abs/1902.09212
代码链接：https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
论文解读：https://mp.weixin.qq.com/s/ZRCzBTBmlEzQCVo1HLWtbQ
3、Learning from Synthetic Data for Crowd Counting in the Wild
作者：Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan
论文链接：https://arxiv.org/abs/1903.03303
源码链接：https://github.com/gjy3035/GCC-CL
4、End-to-End Multi-Task Learning with Attention
作者：Shikun Liu, Edward Johns, Andrew J. Davison
论文链接：https://arxiv.org/abs/1803.10704
5、SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images
作者：Yeon Kun Lee, Jaeseok Jeong, Jong Seob Yun, Cho Won June, Kuk-Jin Yoon
论文链接：https://arxiv.org/abs/1811.08196
6、Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
作者：S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon
论文链接：https://arxiv.org/abs/1811.08230
7、FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
作者：Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
论文链接：https://arxiv.org/abs/1902.09513
8、An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
作者：Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan
论文链接：https://arxiv.org/abs/1902.09130
9、Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
作者：De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles
论文链接：https://arxiv.org/abs/1807.03480
10、DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
作者：Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese
论文链接：https://arxiv.org/abs/1901.04780
论文解读：https://mp.weixin.qq.com/s/wrND2cocWlPPVXPqpq-Glg
11、A Neurobiological Evaluation Metric for Neural Network Model Search
作者：Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer
论文链接：https://arxiv.org/pdf/1805.10726.pdf
12、The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
作者：Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser
论文链接：https://arxiv.org/abs/1811.06879
13、Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
作者：Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel
链接：https://arxiv.org/abs/1812.06145
14、Variational Bayesian Dropout
作者：Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
论文链接：https://arxiv.org/abs/1811.07533
15、LiFF: Light Field Features in Scale and Depth
作者：Donald G. Dansereau, Bernd Girod, Gordon Wetzstein
论文链接：https://arxiv.org/abs/1901.03916
16、Classification-Reconstruction Learning for Open-Set Recognition
作者：Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
论文链接：https://arxiv.org/abs/1812.04246
17、Weakly Supervised Deep Image Hashing through Tag Embeddings
作者：Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
论文链接：https://arxiv.org/abs/1806.05804
18、InverseRenderNet: Learning single image inverse rendering
作者：Ye Yu, William A. P. Smith
论文链接：https://arxiv.org/abs/1811.12328
19、Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
作者：Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang
论文链接：https://arxiv.org/abs/1811.10092
论文解读：https://mp.weixin.qq.com/s/LsHWkdwqqrOPFgCNNcBdpg
20、GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
作者：Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
论文链接：https://arxiv.org/abs/1902.05978
21.Iterative Residual CNNs for Burst Photography Applications
作者：Filippos Kokkinos Stamatis Lefkimmiatis
论文链接：https://arxiv.org/abs/1811.12197
22.Mixture Density Generative Adversarial Networks
作者：Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
论文链接：https://arxiv.org/abs/1811.00152
23.Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
作者：Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
论文链接：https://arxiv.org/abs/1809.09478