CVPR 2019 论文汇总(按方向划分,0611 更新中)

论文速递 sophie ⋅ 于 4个月前 ⋅ 79763 阅读

作为计算机视觉领域三大顶会之一,CVPR2019(2019.6.16-6.19在美国洛杉矶举办)被CVers 重点关注。目前CVPR 2019 接收结果已经出来啦,相关报道:1300篇!CVPR2019接收结果公布,你中了吗?
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目录:(也欢迎大家推荐自己的CVPR2019文章,以下篇幅较大,分类如有错误欢迎留言指出和补充谢谢~)

检测 38
分割 50
分类、识别 19
跟踪 20
人脸 12
人体姿态估计/手势姿态估计、位姿估计 26
行为/动作识别、手势识别 13
时序动作检测、视频相关 19
Related to Networks 39
GAN、图像文本生成 25
图像/视频处理、超分辨 24
点云、三维重建 44
VQA、视觉语言导航 12
OCR、文本检测 10
自动驾驶、SLAM 12
人群计数 3
数据集、Benchmark 10
行人重识别、行人检测 9
其他 200



检测

1、Stereo R-CNN based 3D Object Detection for Autonomous Driving
作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen
论文链接:https://arxiv.org/abs/1902.09738


2、Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
作者:Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese
论文链接:https://arxiv.org/abs/1902.09630
论文解读:https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw


3、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


4、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


5、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


6、Region Proposal by Guided Anchoring
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


7、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


8、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


9、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:CVPR2019 | FSAF:来自CMU的Single-Shot目标检测算法
一作直播:CVPR2019 专题直播 | CMU 诸宸辰:基于 Anchor-free 特征选择模块的单阶目标检测



10、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



11、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

12、Strong-Weak Distribution Alignment for Adaptive Object Detection
作者:Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
论文链接:https://arxiv.org/abs/1812.04798


13、Few-shot Adaptive Faster R-CNN
作者:Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng
论文链接:https://arxiv.org/abs/1903.09372


14、Attention Based Glaucoma Detection: A Large-scale Database and CNN Model
作者:Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu
论文链接:https://arxiv.org/abs/1903.10831


15、Bounding Box Regression with Uncertainty for Accurate Object Detection(目标检测边界框回归损失算法)
作者:Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang
论文链接:https://arxiv.org/abs/1809.08545
代码链接:https://github.com/yihui-he/KL-Loss

16、Precise Detection in Densely Packed Scenes
作者:Eran Goldman , Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner
论文链接:https://arxiv.org/abs/1904.00853


17、Activity Driven Weakly Supervised Object Detection
作者:Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
论文链接:https://arxiv.org/pdf/1904.01665.pdf


18、Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
作者:Jason Ku, Alex D. Pon, Steven L. Waslander
论文链接:https://arxiv.org/pdf/1904.01690.pdf


19、Libra R-CNN: Towards Balanced Learning for Object Detection(目标检测)
作者:Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin
论文链接:https://arxiv.org/abs/1904.02701


20、Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition
作者:Moein Shakeri, Hong Zhang
论文链接:https://arxiv.org/abs/1904.03175


21、Towards Universal Object Detection by Domain Attention
作者:Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
论文链接:https://arxiv.org/abs/1904.04402
项目链接:http://www.svcl.ucsd.edu/projects/universal-detection/


22、NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
作者:Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le
论文链接:https://arxiv.org/abs/1904.07392


23、Deep Anomaly Detection for Generalized Face Anti-Spoofing
作者:Daniel Pérez-Cabo, David Jiménez-Cabello, Artur Costa-Pazo, Roberto J. López-Sastre
论文链接:https://arxiv.org/abs/1904.08241


24、Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
作者:Zhe Wu, Li Su, Qingming Huang
论文链接:https://arxiv.org/abs/1904.08739



25、A Simple Pooling-Based Design for Real-Time Salient Object Detection
作者:Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang
论文链接:https://arxiv.org/abs/1904.09569
源码链接:http://mmcheng.net/poolnet/

26、CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection
作者:Lu Zhang; Huchuan Lu ; Zhe Lin ; Jianming Zhang; You He
论文链接:https://drive.google.com/open?id=1JcZMHBXEX-7AR1P010OXg_wCCC5HukeZ (需要申请)
源码链接:https://github.com/zhangludl/code-and-dataset-for-CapSal


27、Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
作者:Lijie Liu1, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou
论文链接:https://arxiv.org/pdf/1904.12681.pdf


28、A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision
作者:Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding
论文链接:待定
源码链接:https://github.com/JosephineRabbit/MLMSNet


29、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
论文解读:CVPR 2019 Oral | 京东AI研究院提出 ScratchDet:随机初始化训练SSD目标检测器


30、Pyramid Feature Attention Network for Saliency detection
作者:Ting Zhao, Xiangqian Wu
论文链接:https://arxiv.org/abs/1903.00179
源码链接:https://github.com/CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection


31、Shifting More Attention to Video Salient Objection Detection(Oral)
作者:Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen
论文链接:待定
源码链接:https://github.com/DengPingFan/DAVSOD


32、PPGNet: Learning Point-Pair Graph for Line Segment Detection
作者:Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao
论文链接:https://arxiv.org/abs/1905.03415
源码链接:https://github.com/svip-lab/PPGNet


33、Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
作者:Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim
论文链接:https://arxiv.org/abs/1905.05396


34、Direction-aware Spatial Context Features for Shadow Detection(Oral)
作者:Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin and Pheng-Ann Heng
论文链接:待更新
源码链接:https://github.com/xw-hu/DSC


35、FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network
作者:Jonah Philion
论文链接:https://arxiv.org/abs/1905.04354


36、An Iterative and Cooperative Top-down and Bottom-up Inference Network for Salient Object Detection(南开大学)
作者:Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao
论文链接:http://mftp.mmcheng.net/Papers/19cvprIterativeSOD.pdf


37、Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection(南开大学)
作者:Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Xuan-Yi Li, Le Zhang, Ming-Ming Cheng. ( co-first author)
论文链接:http://dpfan.net/wp-content/uploads/19cvprRrbdSOD-cameraReady.pdf
项目链接:https://mmcheng.net/rgbdsalpyr/


38、Bottom-up Object Detection by Grouping Extreme and Center Points
作者:Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl
论文链接:https://arxiv.org/abs/1901.08043
源码链接:https://github.com/xingyizhou/ExtremeNet


39、Exploring the Bounds of the Utility of Context for Object Detection
探讨用于物体检测的上下文效用的界限
作者:Ehud Barnea, Ohad Ben-Shahar
论文链接:https://arxiv.org/abs/1711.05471v4
源码链接:https://github.com/EhudBarnea/ContextAnalysis




分割

1、Attention-guided Unified Network for Panoptic Segmentation
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、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


3、Associatively Segmenting Instances and Semantics in Point Clouds
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


4、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


5、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


6、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



7、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


8、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


9、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


10、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


11、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


12、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


13、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/


14、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


15、Knowledge Adaptation for Efficient Semantic Segmentation(语义分割)
作者:Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan
论文链接:https://arxiv.org/abs/1903.04688


16、Improving Semantic Segmentation via Video Propagation and Label Relaxation(oral)
作者:Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro
论文链接:https://arxiv.org/abs/1812.01593


17、In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
作者:Marin Oršić, Ivan Krešo, Petra Bevandić, Siniša Šegvić
论文链接:https://arxiv.org/abs/1903.08469
代码链接:https://github.com/orsic/swiftnet


18、Large-scale interactive object segmentation with human annotators
作者:Rodrigo Benenson, Stefan Popov, Vittorio Ferrari
论文链接:https://arxiv.org/abs/1903.10830
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
作者:Brent A. Griffin, Jason J. Corso
论文链接:https://arxiv.org/abs/1903.11779


19、Pose2Seg: Detection Free Human Instance Segmentation
作者:Song-Hai Zhang, Ruilong Li, Xin Dong, Paul L. Rosin, Zixi Cai, Han Xi, Dingcheng Yang, Hao-Zhi Huang, Shi-Min Hu
论文链接:https://arxiv.org/abs/1803.10683
项目链接:http://www.liruilong.cn/Pose2Seg/index.html
代码链接:https://github.com/liruilong940607/OCHumanApi


20、BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
作者:Brent A. Griffin, Jason J. Corso
论文链接:https://arxiv.org/abs/1903.11779


21、JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields(Oral)
作者:Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
论文链接:https://arxiv.org/abs/1904.00699
项目链接:https://pqhieu.github.io/cvpr19.html


22、Spatiotemporal CNN for Video Object Segmentation
作者:Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang
论文链接:https://arxiv.org/abs/1904.02363
代码链接:https://github.com/longyin880815/STCNN


23、Data augmentation using learned transformsfor 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/pdf/1902.09383.pdf
源码链接:https://github.com/xamyzhao/brainstorm


24、DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral )
作者:Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang
论文链接:http://cvlab.citi.sinica.edu.tw/images/paper/cvpr-hsu19.pdf
源码链接:https://github.com/KuangJuiHsu/DeepCO3


25、Cross-Modal Self-Attention Network for Referring Image Segmentation
作者:Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang
论文链接:https://arxiv.org/abs/1904.04745


26、Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations(Oral)
作者:Jiwoon Ahn, Sunghyun Cho, Suha Kwak
论文链接:https://arxiv.org/abs/1904.05044


27、Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
作者:Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
论文链接:https://arxiv.org/abs/1904.06040


28、A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
作者:Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu
论文链接:https://arxiv.org/abs/1904.05730


29、DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation(旷视)
作者:Hanchao Li, Pengfei Xiong,Haoqiang Fan,Jian Sun
论文链接:https://share.weiyun.com/5NgHbWH


30、Exploiting Computation Power of Blockchain for Biomedical Image Segmentation
作者:Boyang Li, Changhao Chenli, Xiaowei Xu, Taeho Jung, Yiyu Shi
论文链接:https://arxiv.org/abs/1904.07349


31、MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation(Oral)
作者:Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou
论文链接:https://arxiv.org/abs/1904.08141


32、Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
作者:Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang
论文链接:https://arxiv.org/abs/1904.08487


33、Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
作者:Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim
论文链接:https://arxiv.org/abs/1904.09791


34、Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
作者:Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang
论文链接:https://arxiv.org/abs/1904.11693


35、Bidirectional Learning for Domain Adaptation of Semantic Segmentation
作者:Yunsheng Li, Lu Yuan, Nuno Vasconcelos
论文链接:https://arxiv.org/abs/1904.10620
源码链接:https://github.com/liyunsheng13/BDL


36、Learning Unsupervised Video Primary Object Segmentation through Visual Attention
作者:Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven Chu Hong Hoi, and Haibin Ling
论文链接:http://www.dabi.temple.edu/~hbling/publication/UVOS-cvpr19.pdf
源码链接:https://github.com/wenguanwang/AGS


37、Elastic Boundary Projection for 3D Medical Image Segmentation
作者:Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille
论文链接:https://arxiv.org/abs/1812.00518
源码链接:https://github.com/twni2016/Elastic-Boundary-Projection


38、Seamless Scene Segmentation
作者:Lorenzo Porzi, Samuel Rota Bulò, Aleksander Colovic, Peter Kontschieder
论文链接:https://arxiv.org/abs/1905.01220


39、SCOPS: Self-Supervised Co-Part Segmentation
作者:Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz
论文链接:https://arxiv.org/abs/1905.01298
项目链接:https://varunjampani.github.io/scops/


40、Interactive Full Image Segmentation by Considering All Regions Jointly
作者:Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari
论文链接:https://arxiv.org/pdf/1812.01888.pdf


41、An End-to-End Network for Panoptic Segmentation
作者:Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang
论文链接:https://arxiv.org/pdf/1903.05027.pdf


42、Panoptic Feature Pyramid Networks(Oral)
作者:Alexander Kirillov, Ross Girshick, Kaiming He, Piotr Dollár
论文链接:https://arxiv.org/pdf/1901.02446.pdf


43、Panoptic Segmentation
作者:Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár
论文链接:https://arxiv.org/pdf/1801.00868.pdf


44、DARNet: Deep Active Ray Network for Building Segmentation
作者:Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun
论文链接:https://arxiv.org/abs/1905.05889



45、Amodal Instance Segmentation through KINS Dataset
作者:Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia
论文链接:http://jiaya.me/papers/amodel_cvpr19.pdf


46、DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency Detection(Oral)
作者:Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang
论文链接:https://www.csie.ntu.edu.tw/~cyy/publications/papers/Hsu2019DCO.pdf
源码链接:https://github.com/KuangJuiHsu/DeepCO3


47、ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
作者:Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez
论文链接:https://arxiv.org/abs/1811.12833
源码链接:https://github.com/valeoai/ADVENT


48、Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images(Oral)
作者:Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, and Xiaoning Qian
论文链接:https://arxiv.org/abs/1905.06368
源码链接:https://github.com/chenwydj/ultra_high_resolution_segmentation


49、S4Net: Single Stage Salient-Instance Segmentation(南开大学)
作者:Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu
论文链接:http://mftp.mmcheng.net/Papers/19cvprS4Net.pdf
源码链接:https://github.com/RuochenFan/S4Net
项目链接:https://mmcheng.net/s4net/


50、Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation(Oral)
作者:Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
论文链接:https://arxiv.org/abs/1901.02985
源码链接:https://github.com/tensorflow/models/tree/master/research/deeplab




分类、识别

1、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


2、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


3、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


4、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


5、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
论文解读:图像分类技巧:Bag of Tricks for Image Classification with Convolutional Neural Networks


6、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


7、Direct Object Recognition Without Line-of-Sight Using Optical Coherence(非视距物体识别技术)
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


8、C2AE: Class Conditioned Auto-Encoder for Open-set Recognition(Oral)
作者:Poojan Oza, Vishal M Patel
论文链接:https://arxiv.org/abs/1904.01198


9、Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds(Oral)
作者:Tiancheng Zhi, Bernardo R. Pires, Martial Hebert and Srinivasa G. Narasimhan
论文链接:http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/files/ZPHN-CVPR19.pdf
代码链接:https://github.com/tiancheng-zhi/ms-powder
项目链接:http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/


10、Large-Scale Long-Tailed Recognition in an Open World(Oral)
作者:Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
论文链接:https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf
源码链接:https://github.com/zhmiao/OpenLongTailRecognition-OLTR


11、Multi-Label Image Recognition with Graph Convolutional Networks(多标签图像识别)
作者:Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo
论文链接:https://arxiv.org/abs/1904.03582
源码链接:https://github.com/chenzhaomin123/ML_GCN
简介:本工作针对多标记识别的核心问题,即“如何有效建模标记间的协同关系”进行探索,提出基于图卷积(GCN)的端到端系统,通过data-driven方式建立标记间有向图(directed graph)并由GCN将类别标记映射(mapping)为对应类别分类器,以此建模类别关系,同时可提升表示学习能力。此外针对GCN中的关键元素correlation matrix进行了深入分析和重设计,使其更胜任多标记问题。


12、Gait Recognition via Disentangled Representation Learning(Oral 步态识别)
作者:Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang
论文链接:https://arxiv.org/abs/1904.04925


13、Adaptively Connected Neural Networks(分类)
作者:Guangrun Wang, Keze Wang, Liang Lin
论文链接:https://arxiv.org/abs/1904.03579
源码链接:https://github.com/wanggrun/Adaptively-Connected-Neural-Networks


14、Aggregation Cross-Entropy for Sequence Recognition
作者:Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie
论文链接:https://arxiv.org/abs/1904.08364


15、Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset
作者:Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
论文链接:https://arxiv.org/abs/1904.08486


16、Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
作者:Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang
论文链接:https://arxiv.org/abs/1904.08631


17、Translate-to-Recognize Networks for RGB-D Scene Recognition
作者:Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu
论文链接:https://arxiv.org/abs/1904.12254
源码链接:https://ownstyledu.github.io/Translate-to-Recognize-Networks/


18、Progressive Ensemble Networks for Zero-Shot Recognition
作者:Meng Ye, Yuhong Guo
论文链接:https://arxiv.org/pdf/1805.07473.pdf


19、Generalized Zero-Shot Recognition based on Visually Semantic Embedding
作者:Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
论文链接:https://arxiv.org/pdf/1811.07993.pdf




跟踪

1、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:CVPR2019 | SiamMask:视频跟踪最高精度


2、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


3、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/1812.11703.pdf
Project链接:http://bo-li.info/SiamRPN++/
论文解读:https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ


4、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


5、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/


6、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


7、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


8、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


9、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


10、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

11、Multi-person Articulated Tracking with Spatial and Temporal Embeddings
作者:Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian
论文链接:https://arxiv.org/abs/1903.09214


12、CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
作者:Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang
论文链接:https://arxiv.org/abs/1903.09254


13、MOTS: Multi-Object Tracking and Segmentation
作者:Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe
论文链接:https://arxiv.org/abs/1902.03604


14、Target-Aware Deep Tracking
作者:Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang
论文链接:https://arxiv.org/pdf/1904.01772.pdf


15、Unsupervised Deep Tracking
作者:Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li
论文链接:https://arxiv.org/pdf/1904.01828.pdf


16、Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry(Oral)
作者:Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha
论文链接:https://arxiv.org/abs/1904.01892


17、SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking(视觉跟踪)
作者:Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng
论文链接:https://arxiv.org/abs/1904.04452


18、Graph Convolutional Tracking
作者:Junyu Gao,Tianzhu Zhang,Changsheng Xu
论文链接:http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html


19、ATOM: Accurate Tracking by Overlap Maximization(Oral,目标跟踪)
作者:Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg
论文链接:https://arxiv.org/abs/1811.07628
源码链接:https://github.com/visionml/pytracking


20、Visual Tracking via Adaptive Spatially-Regularized Correlation Filters(视觉跟踪)
作者:Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li
论文链接:https://pan.baidu.com/s/1sD-w1tHfA5ZwIbrnCtUI2Q
源码链接:https://github.com/Daikenan/ASRCF



人脸

1、Disentangled Representation Learning for 3D Face Shape
作者:Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
论文链接:https://arxiv.org/abs/1902.05978


2、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


3、ArcFace: Additive Angular Margin Loss for Deep Face Recognition(人脸识别)
作者:Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou
论文链接:https://arxiv.org/abs/1801.07698
Demo链接:https://github.com/vita-epfl/openpifpafwebdemo


4、Linkage Based Face Clustering via Graph Convolution Network
作者:Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
论文链接:https://arxiv.org/abs/1903.11306


5、Learning to Cluster Faces on an Affinity Graph
作者:Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin
论文链接:https://arxiv.org/abs/1904.02749


6、Deep Tree Learning for Zero-shot Face Anti-Spoofing(Oral)
作者:Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu
论文链接:https://arxiv.org/abs/1904.02860


7、Efficient Decision-based Black-box Adversarial Attacks on Face Recognition(人脸识别)
作者:Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu
论文链接:https://arxiv.org/abs/1904.04433


8、Towards High-fidelity Nonlinear 3D Face Morphable Model
作者:Luan Tran, Feng Liu, Xiaoming Liu
论文链接:https://arxiv.org/abs/1904.04933
项目链接:http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html


9、LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
作者:Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
论文链接:https://arxiv.org/abs/1904.07647


10、Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise Loss
作者:Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu
论文链接:https://arxiv.org/abs/1905.03820


11、Deep Face Recognition via Exclusive Regularization(南开大学,人脸识别)
作者:Kai Zhao, Jingyi Xu, Ming-Ming Cheng
论文链接:http://mftp.mmcheng.net/Papers/19cvprRegularFace.pdf


12、A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
作者:Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
论文链接:https://arxiv.org/abs/1811.11431
源码链接:https://github.com/sacmehta/ESPNetv2



13、MVF-Net: Multi-View 3D Face Morphable Model Regression

MVF-Net:多视图3D面部可变模型回归

作者:Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu
论文链接:https://arxiv.org/abs/1904.04473
源码链接:https://github.com/Fanziapril/mvfnet




人体姿态估计/手势姿态估计、位姿估计

1、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


2、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


3、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


4、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


5、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


6、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


7、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


8、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


9、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


10、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


11、PifPaf: Composite Fields for Human Pose Estimation(姿态估计)
作者:Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi
论文链接:https://arxiv.org/abs/1903.06593
Demo链接:https://github.com/vita-epfl/openpifpafwebdemo


12、Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation(Oral,3D姿态估计)
作者:Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin
论文链接:https://arxiv.org/abs/1903.08839


13、CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
作者:Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu
论文链接:https://arxiv.org/abs/1812.00324
代码链接:https://github.com/Jeff-sjtu/CrowdPose


14、Dense Intrinsic Appearance Flow for Human Pose Transfer
作者:Yining Li, Chen Huang, Chen Change Loy
论文链接:https://arxiv.org/abs/1903.11326


15、Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
作者:Chen Li, Gim Hee Lee
论文链接:https://arxiv.org/abs/1904.05547


16、FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
作者:Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, and Yung-Yu Chuang
论文链接:https://github.com/shamangary/FSA-Net/blob/master/0191.pdf
源码链接:https://github.com/shamangary/FSA-Net


17、Segmentation-driven 6D Object Pose Estimation
作者:Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
论文链接:https://arxiv.org/abs/1812.02541
源码链接:https://github.com/cvlab-epfl/segmentation-driven-pose


18、Progressive Pose Attention Transfer for Person Image Generation
作者:Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, Xiang Bai
论文链接:https://arxiv.org/abs/1904.03349
源码链接:https://github.com/tengteng95/Pose-Transfer


19、Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
作者:Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang
论文链接:https://arxiv.org/abs/1905.03466


20、Exploiting temporal context for 3D human pose estimation in the wild
作者:Anurag Arnab, Carl Doersch, Andrew Zisserman
论文链接:https://arxiv.org/abs/1905.04266


21、In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations
作者:Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt
论文链接:https://arxiv.org/abs/1904.03289


22、CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation(手势姿态估计)
作者:Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma
论文链接:待更新
源码链接:https://github.com/dumyy/handpose


23、Self supervised 3D hand pose estimation(Oral,手势姿态估计)
作者:Shile Li, Dongheui Lee
论文链接:http://www.vision.ee.ethz.ch/~wanc/papers/cvpr2019.pdf
源码链接:https://github.com/melonwan/sphereHand


24、Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer(手势姿态估计)
作者:Shile Li, Dongheui Lee
论文链接:https://arxiv.org/pdf/1812.02050.pdf

25、Disentangling Latent Hands for Image Synthesis and Pose Estimation
作者:Linlin Yang, Angela Yao
论文链接:https://arxiv.org/abs/1812.01002


26、3D human pose estimation in video with temporal convolutions and semi-supervised training(Facebook)
作者:Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli
论文链接:https://research.fb.com/wp-content/uploads/2019/05/3D-human-pose-estimation-in-video-with-temporal-convolutions-and-semi-supervised-training.pdf



行为/动作识别、手势识别

1、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


2、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


3、Collaborative Spatio-temporal Feature Learning for Video Action Recognition
作者:Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu
论文链接:https://arxiv.org/abs/1903.01197


4、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


5、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


6、Action Recognition from Single Timestamp Supervision in Untrimmed Videos(动作识别)
作者:Davide Moltisanti, Sanja Fidler, Dima Damen
论文链接:https://arxiv.org/abs/1904.04689


7、Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering
作者:Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
论文链接:https://arxiv.org/abs/1904.04196


8、Relational Action Forecasting(oral)
作者:Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
论文链接:https://arxiv.org/abs/1904.04231


9、H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions(Oral)
作者:Bugra Tekin, Federica Bogo, Marc Pollefeys
论文链接:https://arxiv.org/abs/1904.05349



10、Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
作者:Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao
论文链接:https://arxiv.org/abs/1904.08703


11、Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
作者:Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian
论文链接:https://arxiv.org/pdf/1904.12659.pdf


12、A neural network based on SPD manifold learning for skeleton-based hand gesture recognition
作者:Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux
论文链接:https://arxiv.org/abs/1904.12970


13、DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition(Facebook)
作者:Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan
论文链接:https://research.fb.com/wp-content/uploads/2019/05/DMC-Net-Generating-Discriminative-Motion-Cues-for-Fast-Compressed-Video-Action-Recognition.pdf



时序动作检测及视频相关

1、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


2、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


3、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



4、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



5、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


6、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


7、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


8、Inserting Videos into Videos
作者:Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang
论文链接:https://arxiv.org/abs/1903.06571


9、Recurrent Back-Projection Network for Video Super-Resolution
作者:Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
论文链接:https://alterzero.github.io/projects/rbpn_cvpr2019.pdf
代码链接:https://github.com/alterzero/RBPN-PyTorch
项目链接:https://alterzero.github.io/projects/RBPN.html


10、Depth-Aware Video Frame Interpolation
作者:Wenbo Bao Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang
论文链接:https://sites.google.com/view/wenbobao/dain
代码链接:https://github.com/baowenbo/DAIN



11、Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph
作者:Yao-Hung Hubert Tsai, Santosh Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi
论文链接:https://arxiv.org/abs/1903.10547


12、Dual Encoding for Zero-Example Video Retrieval
作者:Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang and Xun Wang
论文链接:https://arxiv.org/abs/1809.06181
代码链接:https://github.com/danieljf24/dual_encoding


13、Rethinking the Evaluation of Video Summaries
作者:Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit
论文链接:https://arxiv.org/abs/1903.11328


14、End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image
作者:Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim
论文链接:https://arxiv.org/abs/1904.00680


15、GolfDB: A Video Database for Golf Swing Sequencing
作者:William McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong
论文链接:https://arxiv.org/abs/1903.06528v1


16、VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal
作者:Ya-Liang Chang, Zhe Yu Liu, Winston Hsu
论文链接:https://arxiv.org/abs/1904.06726


17、STEP: Spatio-Temporal Progressive Learning for Video Action Detection(Oral)
作者:Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz
论文链接:https://arxiv.org/abs/1904.09288

18、UnOS: Unified Unsupervised Optical-flow and Stereo-depth Estimation by Watching Videos
作者:Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, and Wei Xu
论文链接:https://arxiv.org/abs/1810.03654


19、Memory-Attended Recurrent Network for Video Captioning
作者:Wenjie Pei, Jiyuan Zhang, Xiangrong Wang, Lei Ke, Xiaoyong Shen, Yu-Wing Tai
论文链接:https://arxiv.org/abs/1905.03966




Related to Networks

1、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


2、Iterative Residual CNNs for Burst Photography Applications
作者:Filippos Kokkinos   Stamatis Lefkimmiatis
论文链接:https://arxiv.org/abs/1811.12197


3、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


4、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


5、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.


6、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


7、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


8、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


9、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.


10、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


11、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


12、3D Point-Capsule Networks
作者:Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
论文链接:https://arxiv.org/abs/1812.10775


13、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


14、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

15、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.


16、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


17、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


18、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


19、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


20、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


21、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


22、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


23、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


24、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


25、Networks for Joint Affine and Non-parametric Image Registration
作者:Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer
论文链接:https://arxiv.org/abs/1903.08811


26、Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences
作者:Seonguk Seo, Paul Hongsuck Seo, Bohyung Han
论文链接:https://arxiv.org/abs/1810.02358


27、Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
作者:Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David Doermann
论文链接:https://arxiv.org/abs/1903.09291


28、TIN: Transferable Interactiveness Network
作者:Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu
论文链接:https://arxiv.org/abs/1811.08264
代码链接:https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network


29、Convolutional Neural Networks Deceived by Visual Illusions
作者:Alexander Gomez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío
论文链接:https://arxiv.org/abs/1811.10565


30、Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
作者:Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen
论文链接:https://arxiv.org/abs/1904.00346


31、Kervolutional Neural Networks
作者:Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan
论文链接:https://arxiv.org/abs/1904.03955


32、Pixel-Adaptive Convolutional Neural Networks
作者:Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz
论文链接:https://arxiv.org/abs/1904.05373


33、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


34、Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration(Oral)
作者:Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang
论文链接:https://arxiv.org/abs/1811.00250
源码链接:https://github.com/he-y/filter-pruning-geometric-median


35、D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
作者:Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler
论文链接:https://dsmn.ml/publications/d2-net.html
源码链接:https://github.com/mihaidusmanu/d2-net


36、On Implicit Filter Level Sparsity in Convolutional Neural Networks
作者:Dushyant Mehta, Kwang In Kim, Christian Theobalt
论文链接:https://arxiv.org/abs/1811.12495


37、Graph-Based Global Reasoning Networks(Facebook)
作者:Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis
论文链接:https://research.fb.com/wp-content/uploads/2019/05/Graph-Based-Global-Reasoning-Networks.pdf


38、FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
作者:Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
论文链接:https://arxiv.org/abs/1904.09290
源码链接:https://github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019


39、ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
作者:Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
论文链接:https://arxiv.org/abs/1811.11431
源码链接:https://github.com/sacmehta/ESPNetv2




GAN、图像文本生成

1、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


2、Mixture Density Generative Adversarial Networks
作者:Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
论文链接:https://arxiv.org/abs/1811.00152


3、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


4、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


5、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


6、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)


7、MirrorGAN: Learning Text-to-image Generation by Redescription(图像文本生成)
作者:Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao
论文链接:https://arxiv.org/abs/1903.05854


8、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


9、OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
作者:Pramuditha Perera, Ramesh Nallapati, Bing Xiang
论文链接:https://arxiv.org/abs/1903.08550


10、SalGAN: Visual Saliency Prediction with Generative Adversarial Networks(商汤/华为/港中文)
作者:Junting Pan, Cristian Canton Ferrer, Kevin McGuinness, Noel E. O'Connor, Jordi Torres, Elisa Sayrol, Xavier Giro-i-Nieto
论文链接:https://arxiv.org/abs/1701.01081
代码链接:https://github.com/junting/seg2vid


11、StoryGAN: A Sequential Conditional GAN for Story Visualization(图像文本生成)
作者:Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao
论文链接:https://arxiv.org/abs/1812.02784
代码链接:https://github.com/yitong91/StoryGAN


12、Object-driven Text-to-Image Synthesis via Adversarial Training(图像文本生成)
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


13、Text2Scene: Generating Compositional Scenes from Textual Descriptions
作者:Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao
论文链接:https://arxiv.org/abs/1809.01110
代码链接:https://github.com/uvavision/Text2Image


14、Image Generation from Layout
作者:Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal
论文链接:https://arxiv.org/abs/1811.11389


15、DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
作者:Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang
论文链接:https://arxiv.org/abs/1904.01310



16、Semantics Disentangling for Text-to-Image Generation(Oral)
作者:Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao
论文链接:https://arxiv.org/abs/1904.01480


17、Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks(Oral)
作者:Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
论文链接:https://arxiv.org/abs/1904.02884


18、R2GAN: Cross-modal Recipe Retrieval with Generative Adversarial Network
作者:Bin Zhu, Chong-Wah Ngo, Jingjing Chen, and Yanbin Hao
论文链接:http://vireo.cs.cityu.edu.hk/papers/R2GAN.pdf


19、Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation(Oral)
作者:Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan
论文链接:https://arxiv.org/abs/1904.06807
源码链接:https://github.com/Ha0Tang/SelectionGAN


20、Text Guided Person Image Synthesis
作者:Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang
论文链接:https://arxiv.org/abs/1904.05118


21、Max-Sliced Wasserstein Distance and its use for GANs
作者:Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander Schwing
论文链接:https://arxiv.org/abs/1904.05877

22、Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN
作者:Qing Ping, Jiangbo Yuan, Bing Wu, Wanying Ding
论文链接:https://arxiv.org/abs/1904.07460


23、Self-Supervised GANs via Auxiliary Rotation Loss
作者:Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
论文链接:https://arxiv.org/abs/1811.11212


24、Sphere Generative Adversarial Network Based on Geometric Moment Matching
作者:Sung Woo Park and Junseok Kwon
论文链接:http://cau.ac.kr/~jskwon/paper/SphereGAN_CVPR2019.pdf
源码链接:https://github.com/taki0112/SphereGAN-Tensorflow


25、A Style-Based Generator Architecture for Generative Adversarial Networks
作者:Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA)
论文链接:http://stylegan.xyz/paper
源码链接:https://github.com/NVlabs/stylegan




图像/视频处理、超分辨

1、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


2、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.


3、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


4、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


5、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


6、Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
作者:Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani
论文链接:https://arxiv.org/abs/1903.08817


7、PASSRnet: Parallax Attention Stereo Super-Resolution Network
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


8、Feedback Network for Image Super-Resolution
作者:Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu
论文链接:https://arxiv.org/abs/1903.09814


9、Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (旷视,超分辨)
作者:Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun
论文链接:https://arxiv.org/abs/1903.00875
论文解读:CVPR2019 | 旷视提出Meta-SR:单一模型实现超分辨率任意缩放因子



10、Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
作者:Kai Zhang, Wangmeng Zuo, Lei Zhang
论文链接:https://arxiv.org/abs/1903.12529
代码链接:https://github.com/cszn/DPSR


11、Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
作者:Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson Lau
论文链接:https://arxiv.org/abs/1904.01538
项目链接:https://stevewongv.github.io/derain-project.html



12、DVC: An End-to-end Deep Video Compression Framework(Oral)
作者:Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao
论文链接:https://arxiv.org/abs/1812.00101
代码链接:https://github.com/GuoLusjtu/DVC


13、Blind Visual Motif Removal from a Single Image
作者:Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
论文链接:https://arxiv.org/abs/1904.02756


14、Fast Spatio-Temporal Residual Network for Video Super-Resolution
作者:Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
论文链接:https://arxiv.org/abs/1904.02870


15、3D Appearance Super-Resolution with Deep Learning
论文链接:https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf
源码链接:https://github.com/ofsoundof/3D_Appearance_SR


16、Camera Lens Super-Resolution
作者:Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
论文链接:http://staff.ustc.edu.cn/~zwxiong/cameraSR.pdf
源码链接:https://github.com/ngchc/CameraSR


17、Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
作者:Ruotent Li, Loong Fah Cheong, Robby T. Tan
论文链接:https://arxiv.org/abs/1904.05050


18、Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
作者:Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo
论文链接:https://arxiv.org/abs/1904.07475


19、Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
作者:Masanori Suganuma, Xing Liu, Takayuki Okatani
论文链接:https://arxiv.org/abs/1812.00733
源码链接:https://github.com/sg-nm/Operation-wise-attention-network


20、Deep Video Inpainting
作者:Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
论文链接:https://arxiv.org/abs/1905.01639


21、Deep Flow-Guided Video Inpaintinge
作者:Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy
论文链接:https://arxiv.org/abs/1905.02884


22、Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
作者:Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
论文链接:https://arxiv.org/abs/1905.02949



23、Dynamic Scene Deblurring with Parameter Selective Sharing and Nested Skip Connections
作者:Hongyun Gao, Xin Tao, Xiaoyong Shen, Jiaya Jia
论文链接:http://jiaya.me/papers/deblur_cvpr19.pdf


24、Underexposed Photo Enhancement using Deep Illumination Estimation
作者:Ruixing Wang, Qing Zhang, Chi-Wing Fu, Xiaoyong Shen, Wei-shi Zheng, Jiaya Jia
论文链接:http://jiaya.me/papers/photoenhance_cvpr19.pdf




点云、三维重建

1、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


2、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


3、DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
作者:Li Ding, Chen Feng
论文链接:https://arxiv.org/abs/1811.11397


4、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.


5、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.


6、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


7、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


8、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


9、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/


10、Learning View Priors for Single-view 3D Reconstruction
作者:Hiroharu Kato, Tatsuya Harada
论文链接:https://arxiv.org/abs/1811.10719
项目链接:http://hiroharu-kato.com/projects_en/view_prior_learning.html


11、Patch-based Progressive 3D Point Set Upsampling
作者:Wang Yifan, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung
论文链接:https://arxiv.org/abs/1811.11286
代码链接:https://github.com/yifita/3PU


12、GeoNet: Deep Geodesic Networks for Point Cloud Analysis(Oral,旷视,根据测地间隔的点云剖析深度网络)
作者:Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto
论文链接:https://arxiv.org/abs/1901.00680
论文解读:CVPR 2019 | 旷视等Oral论文提出GeoNet:基于测地距离的点云分析深度网络


13、JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields(Oral)
作者:Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
论文链接:https://arxiv.org/abs/1904.00699
项目链接:https://pqhieu.github.io/cvpr19.html


14、Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
作者:Loic Landrieu, Mohamed Boussaha
论文链接:https://arxiv.org/abs/1904.02113


15、Calibration of Asynchronous Camera Networks for Object Reconstruction Tasks
作者:Amy Tabb, Henry Medeiros
论文链接:https://arxiv.org/abs/1903.06811


16、StereoDRNet: Dilated Residual Stereo Net
作者:Rohan Chabra, Julian Straub, Chris Sweeny, Richard Newcombe, Henry Fuchs
论文链接:https://arxiv.org/abs/1904.02251


17、Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction
作者:Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou
论文链接:https://arxiv.org/abs/1904.06699


18、PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
作者:Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
论文链接:https://arxiv.org/abs/1812.04244
源码链接:https://github.com/sshaoshuai/PointRCNN


19、Relation-Shape Convolutional Neural Network for Point Cloud Analysis
作者:Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan
论文链接:https://arxiv.org/abs/1904.07601
项目链接:https://yochengliu.github.io/Relation-Shape-CNN/
源码链接:https://github.com/Yochengliu/Relation-Shape-CNN


20、A-CNN: Annularly Convolutional Neural Networks on Point Clouds
作者:Artem Komarichev, Zichun Zhong, Jing Hua
论文链接:https://arxiv.org/abs/1904.08017


21、PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
作者: Wenxiao Zhang, Chunxia Xiao
论文链接:https://arxiv.org/abs/1904.09793


22、Deep Convolutional Networks on 3D Point Clouds
作者:Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya, Debdeep Pati
论文链接:https://arxiv.org/pdf/1811.07246.pdf
源码链接:https://github.com/DylanWusee/pointconv


23、LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
作者:Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos, Yaser Sheikh
论文链接:https://arxiv.org/abs/1904.10037


24、Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
作者:Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis
论文链接:https://arxiv.org/abs/1811.07782


25、RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
作者:Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim
论文链接:https://arxiv.org/abs/1904.12304
源码链接:https://github.com/iSarmad/RL-GAN-Net


26、Occupancy Networks - Learning 3D Reconstruction in Function Space
作者:Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger
论文链接:https://avg.is.tuebingen.mpg.de/uploads_file/attachment/attachment/490/top.pdf
源码链接:https://github.com/autonomousvision/occupancy_networks


27、Graph Attention Convolution for Point Cloud Segmentation
作者:待更新
论文链接:https://engineering.purdue.edu/~jshan/publications/2018/Lei%20Wang%20Graph%20Attention%20Convolution%20for%20Point%20Cloud%20Segmentation%20CVPR2019.pdf

28、GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
作者:Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas Guibas
论文链接:https://arxiv.org/abs/1812.03320



29、Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
作者:Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
论文链接:https://arxiv.org/abs/1812.00709
源码链接:https://github.com/sitzikbs/Nesti-Net



30、Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
作者:Ziquan Lan, Zi Jian Yew,Gim Hee Lee
论文链接:https://www.researchgate.net/publication/332240602_Robust_Point_Cloud_Based_Reconstruction_of_Large-Scale_Outdoor_Scenes
源码链接:https://github.com/ziquan111/RobustPCLReconstruction



31、PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
作者:Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey
论文链接:https://arxiv.org/abs/1903.05711
源码链接:https://github.com/hmgoforth/PointNetLK



32、PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
作者:Hengshuang Zhao, Li Jiang, Chi-Wing Fu,Jiaya Jia
论文链接:http://jiaya.me/papers/pointweb_cvpr19.pdf


33、ClusterNet: Deep Hierarchical Cluster Network with Rigorously Rotation-Invariant Representation for Point Cloud Analysis
作者:Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin
论文链接:http://www.linliang.net/wp-content/uploads/2019/04/CVPR2019_PointClound.pdf

34、FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization
作者:Wei Gao, Russ Tedrake
论文链接:https://arxiv.org/abs/1811.10136
源码链接:https://bitbucket.org/gaowei19951004/poser/src/master/

35、Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
作者:Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra
论文链接:https://arxiv.org/abs/1904.03461

36、SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences
作者:Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
论文链接:https://arxiv.org/abs/1904.03483
源码链接:https://github.com/intellhave/SDRSAC (matlab)



37、PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds
作者:Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger
论文链接:https://arxiv.org/abs/1806.02170
源码链接:https://github.com/aseembehl/pointflownet



38、PointPillars: Fast Encoders for Object Detection from Point Clouds
作者:Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom
论文链接:https://arxiv.org/abs/1812.05784
源码链接:https://github.com/nutonomy/second.pytorch



40、Supervised Fitting of Geometric Primitives to 3D Point Clouds(Oral)
作者:Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas Guibas
论文链接:https://arxiv.org/abs/1811.08988
源码链接:https://github.com/csimstu2/SPFN



41、PointConv: Deep Convolutional Networks on 3D Point Clouds
作者:Wenxuan Wu, Zhongang Qi, Li Fuxin
论文链接:https://arxiv.org/abs/1811.07246
源码链接:https://github.com/DylanWusee/pointconv



42、Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
作者:Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian
论文链接:https://arxiv.org/abs/1904.03375v1

41、Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
作者:Yongming Rao, Jiwen Lu, Jie Zhou
论文链接:https://raoyongming.github.io/files/SFCNN.pdf


42、Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera(Oral,英伟达)
作者:Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
论文链接:https://arxiv.org/abs/1901.02571
源码链接:https://github.com/NVlabs/neuralrgbd
项目链接:https://research.nvidia.com/publication/2019-06_Neural-RGBD


43、Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition(Facebook)
作者:Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
论文链接:https://research.fb.com/wp-content/uploads/2019/05/Reducing-Uncertainty-in-Undersampled-MRI-Reconstruction-with-Active-Acquisition.pdf


44、Occupancy Networks: Learning 3D Reconstruction in Function Space
作者:Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger
论文链接:https://avg.is.tuebingen.mpg.de/publications/occupancy-networks
源码链接:https://github.com/autonomousvision/occupancy_networks




VQA、视觉语言导航

1、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


2、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


3、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


4、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


5、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


6、Transfer Learning via Unsupervised Task Discovery for Visual Question Answering(VQA)
作者:Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han
论文链接:https://arxiv.org/abs/1810.02358


7、Information Maximizing Visual Question Generation(VQA)
作者:Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
论文链接:https://arxiv.org/abs/1903.11306


8、Answer Them All! Toward Universal Visual Question Answering Models(VQA)
作者:Robik Shrestha, Kushal Kafle, Christopher Kanan
论文链接:https://arxiv.org/abs/1903.00366


9、Cycle-Consistency for Robust Visual Question Answering(VQA)
作者:Gao Peng, Zhengkai Jiang, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven Hoi, Xiaogang Wang, Hongsheng Li
论文链接:https://arxiv.org/pdf/1812.05252.pdf


10、Towards VQA Models that can Read
作者:Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach
论文链接:https://arxiv.org/abs/1904.08920


11、Grounded Video Description (Oral)
作者:Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach
论文链接:https://arxiv.org/abs/1812.06587
源码链接:https://github.com/facebookresearch/grounded-video-description


12、Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
作者:Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
论文链接:https://arxiv.org/abs/1812.00971
源码链接:https://github.com/allenai/savn



OCR、文本检测

1、Shape Robust Text Detection with Progressive Scale Expansion Network(文本检测)
作者:Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang
论文链接:https://arxiv.org/abs/1806.02559
代码链接:https://github.com/whai362/PSENet
网友复现:https://github.com/liuheng92/tensorflow_PSENet



2、Towards Robust Curve Text Detection with Conditional Spatial Expansion
作者:Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh
论文链接:https://arxiv.org/abs/1903.08836


3、Shape Robust Text Detection with Progressive Scale Expansion Network
作者:Wenhai Wang, Enze Xie, Xiang Li, Wenbo Hou, Tong Lu, Gang Yu, Shuai Shao
论文链接:https://arxiv.org/abs/1903.12473


4、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


5、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


6、Tightness-aware Evaluation Protocol for Scene Text Detection
作者:Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie
论文链接:https://arxiv.org/abs/1904.00813


7、Character Region Awareness for Text Detection(文本检测)
作者:Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee
论文链接:https://arxiv.org/abs/1904.01941


8、Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes
作者:Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding
论文链接:https://arxiv.org/abs/1904.06535


9、Learning Shape-Aware Embedding for Scene Text Detection
作者:Zhuotao Tian, Michelle Shu, Pengyuan Lyu, Ruiyu Li, Chao Zhou, Xiaoyong Shen, Jiaya Jia†
论文链接:http://jiaya.me/papers/textdetection_cvpr19.pdf


10、Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes Screen reader support enabled
作者:Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding
论文链接:https://arxiv.org/pdf/1904.06535.pdf




自动驾驶

1、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


2、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.


3、Group-wise Correlation Stereo Network
作者:Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li
论文链接:https://arxiv.org/abs/1903.04025


4、Stereo R-CNN based 3D Object Detection for Autonomous Driving
作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen
论文链接:https://arxiv.org/abs/1902.09738


5、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
论文摘要: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。


6、An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM
作者:Patrick Geneva, James Maley, Guoquan Huang
论文链接:https://arxiv.org/abs/1903.08636


7、LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
作者:Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
论文链接:https://arxiv.org/abs/1903.08701


8、.GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
作者:Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang
论文链接:https://arxiv.org/abs/1903.10955


9、Learning to Adapt for Stereo
作者:Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr
论文链接:https://arxiv.org/abs/1904.02957
代码链接:https://github.com/CVLAB-Unibo/Learning2AdaptForStereo


10、What Object Should I Use? - Task Driven Object Detection
作者:Johann Sawatzky, Yaser Souri, Christian Grund, Juergen Gall
论文链接:https://arxiv.org/abs/1904.03000


11、YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving
作者:Thomas Boulay, Said El-Hachimi, Mani Kumar Surisetti, Pullarao Maddu, Saranya Kandan
论文链接:https://arxiv.org/abs/1904.05673


12、L3-Net: Towards Learning based LiDAR Localization for Autonomous Driving
作者:Weixin Lu, Yao Zhou, Guowei Wan,Shenhua Hou,Shiyu Song
论文链接:https://songshiyu01.github.io/pdf/L3Net_W.Lu_Y.Zhou_S.Song_CVPR2019.pdf




人群计数

1、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


2、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


3、Learning the Depths of Moving People by Watching Frozen People(Oral)
作者:Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
论文链接:https://arxiv.org/abs/1904.11111




数据集、Benchmark

1、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

2、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


3、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。


4、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


5、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


6、A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
作者:Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos
论文链接:https://arxiv.org/abs/1904.07312


7、A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
作者:Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, Scott Howard
论文链接:https://arxiv.org/abs/1812.10366
源码链接:https://github.com/bmmi/denoising-fluorescence


8、ABC: A Big CAD Model Dataset For Geometric Deep Learning
作者:Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
论文链接:https://arxiv.org/abs/1812.06216
源码链接:https://github.com/deep-geometry/abc-dataset


9、A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
作者:Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
论文链接:https://arxiv.org/abs/1811.11431
源码链接:https://github.com/sacmehta/ESPNetv2


10、DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
作者:Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo
论文链接:https://arxiv.org/abs/1901.07973
源码链接:https://github.com/switchablenorms/DeepFashion2




行人重识别、行人检测

1、Dissecting Person Re-identification from the Viewpoint of Viewpoint
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


2、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



3、Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
作者:Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Yikang Li, Shengjin Wang, Jian Sun
论文链接:https://arxiv.org/abs/1904.00537


4、Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
作者:Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang
论文链接:https://arxiv.org/abs/1904.01990
代码链接:https://github.com/zhunzhong07/ECN


5、SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
作者:Chengju Zhou,Meiqing Wu,Siew-Kei Lam
论文链接:https://arxiv.org/abs/1902.09080v1
论文摘要: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。


6、High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection
作者:Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu
论文链接:https://arxiv.org/abs/1904.02948


7、High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection
作者:Zhao-Min Chen, Xiu-Shen Wei Peng Wang3Yanwen Guo1
论文链接:https://github.com/liuwei16/CSP/blob/master/docs/2019CVPR-CSP.pdf
源码链接:https://github.com/liuwei16/CSP


8、Pedestrian Detection in Thermal Images using Saliency Maps
作者:Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman
论文链接:https://arxiv.org/abs/1904.06859


9、Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification(行人重识别)
作者:Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, Shin'ichi Satoh
论文链接:https://www.csie.ntu.edu.tw/~cyy/publications/papers/Wang2019LRD.pdf


10、Pedestrian Detection with Autoregressive Network Phases
具有自回归网络阶段的行人检测
作者:Garrick Brazil, Xiaoming Liu
论文链接:https://arxiv.org/abs/1812.00440
源码链接:https://github.com/garrickbrazil/AR-Ped




其他

2、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

3、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


4、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


5、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


6、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


7、InverseRenderNet: Learning single image inverse rendering
作者:Ye Yu, William A. P. Smith
论文链接:https://arxiv.org/abs/1811.12328


8、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


9、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


10、Efficient Parameter-free Clustering Using First Neighbor Relations
作者:M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
论文链接:https://arxiv.org/abs/1902.11266
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.



11、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


12、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


13、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.


14、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.


15、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

16、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


17、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



18、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


19、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

20、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

21、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

22、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


23、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


24、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



25、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


26、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


27、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


28、Selective Sensor Fusion for Neural Visual-Inertial Odometry
作者:Changhao Chen, Stefano Rosa, Yishu MiaoChris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni
论文链接:https://arxiv.org/abs/1903.01534


29、.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


30、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

31、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

32、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


33、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


34、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

35、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.


36、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.

37、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

39、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


40、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

41、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


42、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


43、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


44、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


45、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


46、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


47、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



48、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


49、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


50、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


51、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


52、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.


53、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


54、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

56、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


57、Bringing Alive Blurred Moments
作者:Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan
论文链接:https://arxiv.org/abs/1804.02913


58、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


59、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


60、Depth Coefficients for Depth Completion
作者:Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris
论文链接:https://arxiv.org/abs/1903.05421


61、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.


62、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



64、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


65、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


66、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


67、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


68、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



69、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


70、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/


71、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。


72、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。


73、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/


74、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


75、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


76、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


77、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


78、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


79、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


80、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


81、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


82、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/


83、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


84、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


85、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


86、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


87、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


88、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


89、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


90、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


91、Neural Sequential Phrase Grounding (SeqGROUND)
作者:Pelin Dogan, Leonid Sigal, Markus Gross
论文链接:https://arxiv.org/abs/1903.07669


92、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


93、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
论文摘要: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。


94、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。


95、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


96、Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses(Oral)
作者:Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
论文链接:https://arxiv.org/abs/1811.09600
代码链接:https://github.com/jeromerony/fast_adversarial


97、Graphical Contrastive Losses for Scene Graph Generation
作者:Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
论文链接:https://arxiv.org/abs/1903.02728
代码链接:https://github.com/NVIDIA/ContrastiveLosses4VRD


98、Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
作者:Pooya Abolghasemi, Amir Mazaheri, Mubarak Shah, Ladislau Bölöni
论文链接:https://arxiv.org/abs/1809.10093


99、Cross-task weakly supervised learning from instructional videos
作者:Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic
论文链接:https://arxiv.org/abs/1903.08225


100、Explainable and Explicit Visual Reasoning over Scene Graphs
作者:Jiaxin Shi, Hanwang Zhang, Juanzi Li
论文链接:https://arxiv.org/abs/1812.01855
代码链接:https://github.com/shijx12/XNM-Net


101、Single Image Deraining: A Comprehensive Benchmark Analysis
作者:Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao
论文链接:https://arxiv.org/abs/1903.08558
代码链接:https://github.com/lsy17096535/Single-Image-Deraining


102、Im2Pencil: Controllable Pencil Illustration from Photographs
作者:Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang
论文链接:https://arxiv.org/abs/1903.08682

104、DSFD: Dual Shot Face Detector(腾讯优图)
作者:Jian Li, Yabiao Wang, Changan Wang, Ying Tai
论文链接:https://arxiv.org/abs/1810.10220
代码链接:https://github.com/TencentYoutuResearch/FaceDetection-DSFD
微信公众号介绍链接:https://mp.weixin.qq.com/s/0rTCeHumVSv07hMCaCd7EA


105、Attention-aware Multi-stroke Style Transfer
作者:Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang
论文链接:https://arxiv.org/abs/1901.05127
项目链接:https://sites.google.com/view/yuanyao/attention-aware-multi-stroke-style-transfer


106、Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
作者:Amir Atapour-Abarghouei, Toby P. Breckon
论文链接:https://arxiv.org/abs/1903.10764


107、Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection
作者:Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil M. Robertson, Jinqiao Wang
论文链接:https://arxiv.org/abs/1903.10661


108、Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
作者:Xi Shen, Alexei A. Efros, Mathieu Aubry
论文链接:https://arxiv.org/abs/1903.02678


109、DeeperLab: Single-Shot Image Parser
作者:Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
论文链接:https://arxiv.org/abs/1902.05093
代码链接:https://github.com/tensorflow/models/tree/master/research/deeplab/evaluation
项目链接:http://deeperlab.mit.edu/


110、Im2Pencil: Controllable Pencil Illustration from Photographs(Adobe与谷歌云等)
作者:Yijun Li,Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang
论文链接:https://drive.google.com/file/d/1sl5IBD36bMWAvKH7Uz7An0mcrIOmlopv/view
代码链接:https://github.com/Yijunmaverick/Im2Pencil


111、Unsupervised Image Captioning
作者:Yang Feng, Lin Ma, Wei Liu, Jiebo Luo
论文链接:https://arxiv.org/abs/1811.10787
代码链接:https://github.com/fengyang0317/unsupervised_captioning


112、An End-to-End Network for Generating Social Relationship Graphs
作者:Arushi Goel, Keng Teck Ma, Cheston Tan
论文链接:https://arxiv.org/abs/1903.09784


113、f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
作者:Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
论文链接:https://arxiv.org/abs/1903.10132


114、Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
作者:Jaime Spencer, Richard Bowden, Simon Hadfield
论文链接:https://arxiv.org/abs/1903.10427


115、Learning Attraction Field Reprensentation 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


116、Feature Denoising for Improving Adversarial Robustness
作者:Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He
论文链接:https://arxiv.org/abs/1812.03411v2
代码链接:https://github.com/facebookresearch/ImageNet-Adversarial-Training


117、DynTypo: Example-based Dynamic Text Effects Transfer
作者:Yifang Men Zhouhui Lian Yingmin Tang Jianguo Xiao
项目链接:https://menyifang.github.io/projects/DynTypo/DynTypo.html


118、Progressive Image Deraining Networks: A Better and Simpler Baseline
作者:Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng
论文链接:https://arxiv.org/abs/1901.09221
代码链接:https://github.com/csdwren/PReNet


119、Transferable Interactiveness Prior for Human-Object Interaction Detection
作者:Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu
论文链接:https://arxiv.org/abs/1811.08264
代码链接:https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network


120、Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras
作者:Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit
论文链接:https://arxiv.org/abs/1903.11332


121、Self-Supervised Learning via Conditional Motion Propagation
作者:Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy
论文链接:https://arxiv.org/abs/1903.11412


122、Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery
作者:Ries Uittenbogaard, Clint Sebastian, Julien Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H.N. de With
论文链接:https://arxiv.org/abs/1903.11532


123、Rethinking Knowledge Graph Propagation for Zero-Shot Learning(零样本学习/图卷积网络)
作者:Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing
论文链接:https://arxiv.org/abs/1805.11724v3
代码链接:https://github.com/cyvius96/adgpm


124、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


125、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


126、Zoom to Learn, Learn to Zoom(Oral)
作者:Xuaner Zhang Qifeng Chen Ren Ng Vladlen Koltun
论文链接:https://cqf.io/papers/Zoom_To_Learn_CVPR2019.pdf


127、Learning to Transfer Examples for Partial Domain Adaptation(领域自适应)
作者:Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
论文链接:https://arxiv.org/abs/1903.12230


128、Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
作者:Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
论文链接:https://arxiv.org/abs/1903.12290


129、Lending Orientation to Neural Networks for Cross-view Geo-localization
作者:Liu Liu, Hongdong Li
论文链接:https://arxiv.org/abs/1903.12351
代码链接:https://github.com/Liumouliu/OriCNN


130、Towards Accurate Task Accomplishment with Low-Cost Robotic Arms
作者:Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille
论文链接:https://arxiv.org/abs/1812.00725


131、Robustness of 3D Deep Learning in an Adversarial Setting
作者:Matthew Wicker, Marta Kwiatkowska
论文链接:https://arxiv.org/abs/1904.00923
源码链接:https://github.com/matthewwicker/IterativeSalienceOcclusion


132、Depth from a polarisation + RGB stereo pair
作者:Dizhong Zhu, William A.P. Smith
论文链接:https://arxiv.org/abs/1903.12061
源码链接:https://github.com/AmosZhu/CVPR2019


133、Curls & Whey: Boosting Black-Box Adversarial Attacks(Oral)
作者:Yucheng Shi, Siyu Wang, Yahong Han
论文链接:https://arxiv.org/abs/1904.01160


134、Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
作者:Vlad Hosu, Bastian Goldlucke, Dietmar Saupe
论文链接:https://arxiv.org/abs/1904.01382


135、Context and Attribute Grounded Dense Captioning
作者:Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao
论文链接:https://arxiv.org/abs/1904.01410


136、Good News, Everyone! Context driven entity-aware captioning for news images
作者:Ali Furkan Biten, Lluis Gomez, Marçal Rusiñol, Dimosthenis Karatzas
论文链接:https://arxiv.org/abs/1904.01475


137、Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
作者:Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, Hua Huang
论文链接:https://arxiv.org/abs/1904.00637
代码链接:https://github.com/Vandermode/ERRNet


138、NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences
作者:Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang
论文链接:https://arxiv.org/abs/1904.00320


139、Scene Graph Generation with External Knowledge and Image Reconstruction
作者:Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
论文链接:https://arxiv.org/abs/1904.00560


140、Multi-source weak supervision for saliency detection
作者:Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu
论文链接:https://arxiv.org/abs/1904.00566


141、Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
作者:Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, Hua Huang
论文链接:https://arxiv.org/abs/1904.00637
代码链接:https://github.com/Vandermode/ERRNet


142、Searching for A Robust Neural Architecture in Four GPU Hours
作者:Xuanyi Dong, Yi Yang
代码链接:https://github.com/D-X-Y/GDAS (will be public soon)


143、Conditional Adversarial Generative Flow for Controllable Image Synthesis
作者:Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
论文链接:https://arxiv.org/pdf/1904.01782.pdf


144、SFNet: Learning Object-aware Semantic Correspondence(Oral)
作者:Junghyup Lee, Dohyung Kim, Jean Ponce, Bumsub Ham
论文链接:https://arxiv.org/pdf/1904.01810.pdf


145、Learning Context Graph for Person Search
作者:Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang
论文链接:https://arxiv.org/pdf/1904.01830.pdf


146、Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
作者:Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao
论文链接:https://arxiv.org/abs/1904.01870


147、CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
作者:Jose M. Facil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera
论文链接:https://arxiv.org/abs/1904.02028
项目链接:http://webdiis.unizar.es/~jmfacil/camconvs/


148、Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
作者:Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen
论文链接:https://arxiv.org/abs/1904.02616


149、T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor
作者:Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic
论文链接:https://arxiv.org/abs/1904.02698


150、Assessment of Faster R-CNN in Man-Machine collaborative search
作者:Arturo Deza, Amit Surana, Miguel P. Eckstein
论文链接:https://arxiv.org/abs/1904.02805


151、Semantic Attribute Matching Networks
作者:Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, Kwanghoon Sohn
论文链接:https://arxiv.org/abs/1904.02969


152、Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
作者:Oleksiy Ostapenko, Tassilo Klein, Mihai Puscas, Patrick Jähnichen, Moin Nabi
论文链接:https://arxiv.org/abs/1904.03137


153、Unsupervised Image Matching and Object Discovery as Optimization
作者:Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Perez, Jean Ponce
论文链接:https://arxiv.org/abs/1904.03148

154、Calibration of Asynchronous Camera Networks for Object Reconstruction Tasks
作者:Amy Tabb, Henry Medeiros
论文链接:https://arxiv.org/abs/1903.06811


155、LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks
作者:Sudhakar Kumawat, Shanmuganathan Raman
论文链接:https://arxiv.org/abs/1904.03498


156、A Variational Auto-Encoder Model for Stochastic Point Processes
作者:Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
论文链接:https://arxiv.org/abs/1904.03273


157、2.5D Visual Sound(FAIR Oral)
作者:Ruohan Gao, Kristen Grauman
论文链接:https://arxiv.org/abs/1812.04204
项目链接:http://vision.cs.utexas.edu/projects/2.5D_visual_sound/
源码链接:https://github.com/facebookresearch/FAIR-Play


158、DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
作者:Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul Debevec
论文链接:https://arxiv.org/abs/1904.01175


159、What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
作者:Paritosh Parmar, Brendan Tran Morris
论文链接:https://arxiv.org/abs/1904.04346


160、SoDeep: a Sorting Deep net to learn ranking loss surrogates
作者:Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord
论文链接:https://arxiv.org/abs/1904.04272


161、3D Local Features for Direct Pairwise Registration
作者:Haowen Deng, Tolga Birdal, Slobodan Ilic
论文链接:https://arxiv.org/abs/1904.04281


162、Neural Rerendering in the Wild(Oral)
作者:Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla
论文链接:https://arxiv.org/abs/1904.04290


163、End-to-end Projector Photometric Compensation
作者:Bingyao Huang, Haibin Ling
论文链接:https://arxiv.org/abs/1904.04335


164、Reliable and Efficient Image Cropping: A Grid Anchor based Approach
作者:Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang
论文链接:https://arxiv.org/abs/1904.04441
代码链接:https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping


165、Graphonomy: Universal Human Parsing via Graph Transfer Learning
作者:Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin
论文链接:https://arxiv.org/abs/1904.04536
源码链接:https://github.com/Gaoyiminggithub/Graphonomy


166、Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
作者:Eunwoo Kim, Chanho Ahn, Philip H.S. Torr, Songhwai Oh
论文链接:https://arxiv.org/abs/1904.04562


167、Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology(Oral)
作者:Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
论文链接:https://arxiv.org/abs/1904.04661


168、Domain-Symmetric Networks for Adversarial Domain Adaptation
作者:Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan
论文链接:https://arxiv.org/abs/1904.04663


169、Label Propagation for Deep Semi-supervised Learning
作者:Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum
论文链接:https://arxiv.org/abs/1904.04717



170、Leveraging the Invariant Side of Generative Zero-Shot Learning
作者:Jingjing Li, Mengmeng Jin, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
论文链接:https://arxiv.org/abs/1904.04092


171、Learning monocular depth estimation infusing traditional stereo knowledge
作者:Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
论文链接:https://arxiv.org/abs/1904.04144
代码链接:https://github.com/fabiotosi92/monoResMatch-Tensorflow


172、nsupervised learning of action classes with continuous temporal embedding
作者:Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall
论文链接:https://arxiv.org/abs/1904.04189


173、GA-Net: Guided Aggregation Net for End-to-end Stereo Matching(Oral)
作者:Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr
论文链接:https://arxiv.org/abs/1904.06587


174、LiveSketch: Query Perturbations for Guided Sketch-based Visual Search
作者:John Collomosse, Tu Bui, Hailin Jin
论文链接:https://arxiv.org/abs/1904.06611


175、Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
论文链接:https://arxiv.org/abs/1904.06627
源码链接:https://github.com/MalongTech/research-ms-loss


176、ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging(Oral)
作者:Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays
论文链接:https://arxiv.org/abs/1904.06830


177、Self-critical n-step Training for Image Captioning(图像生成)
作者:Junlong Gao, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao
论文链接:https://arxiv.org/abs/1904.06861



178、C3AE: Exploring the Limits of Compact Model for Age Estimation
作者:Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu
论文链接:https://arxiv.org/abs/1904.05059


179、DAVANet: Stereo Deblurring with View Aggregation(Oral)
作者:Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren
论文链接:https://arxiv.org/abs/1904.05065


180、Actor-Critic Instance Segmentation
作者:Kwang In Kim, Hyung Jin Chang
论文链接:https://arxiv.org/abs/1904.05126


181、Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
作者:Kwang In Kim, Hyung Jin Chang
论文链接:https://arxiv.org/abs/1904.05159


182、Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
作者:Junhwa Hur, Stefan Roth
论文链接:https://arxiv.org/abs/1904.05290


183、Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
作者:Shuai Liao, Efstratios Gavves, Cees G. M. Snoek
论文链接:https://arxiv.org/abs/1904.05404

184、Sliced Wasserstein Generative Models
作者:Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool
论文链接:https://arxiv.org/abs/1904.05408
源码链接:https://github.com/musikisomorphie/swd


185、Learning to Generate Synthetic Data via Compositing
作者:Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari
论文链接:https://arxiv.org/abs/1904.05475


186、Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach(Oral)
作者:Proteek Chandan Roy, Vishnu Naresh Boddeti
论文链接:https://arxiv.org/abs/1904.05514


187、Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
作者:Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma
论文链接:https://arxiv.org/abs/1904.05521


188、Reasoning Visual Dialogs with Structural and Partial Observations(Oral)
作者:Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu
论文链接:https://arxiv.org/abs/1904.05548


189、C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
作者:Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye
论文链接:https://arxiv.org/abs/1904.05647


190、TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
作者:Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez
论文链接:https://arxiv.org/abs/1904.05967


191、Real-Time Dense Stereo Embedded in A UAV for Road Inspection
作者:Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu
论文链接:https://arxiv.org/abs/1904.06017


192、Unifying Heterogeneous Classifiers with Distillation
作者:Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella
论文链接:https://arxiv.org/abs/1904.06062


193、Learning joint reconstruction of hands and manipulated objects
作者:Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid
论文链接:https://arxiv.org/abs/1904.05767


194、Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope(Oral)
作者:Tolga Birdal, Umut Şimşekli
论文链接:https://arxiv.org/abs/1904.05814


195、Variational Information Distillation for Knowledge Transfer
作者:Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai
论文链接:https://arxiv.org/abs/1904.05835


196、Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
作者:Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black
论文链接:https://arxiv.org/abs/1904.05866



197、A Simple Baseline for Audio-Visual Scene-Aware Dialog
作者:Idan Schwartz, Alexander Schwing, Tamir Hazan
论文链接:https://arxiv.org/abs/1904.05876


198、Two Body Problem: Collaborative Visual Task Completion
作者:Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi
论文链接:https://arxiv.org/abs/1904.05879


199、Factor Graph Attention
作者:Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing
论文链接:https://arxiv.org/abs/1904.05880


200、Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
作者:Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
论文链接:http://cs.nju.edu.cn/rl/people/liwb/CVPR19.pdf
源码链接:https://github.com/WenbinLee/DN4.git


201、Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
作者:Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
论文链接:https://arxiv.org/abs/1812.01784
源码链接:https://github.com/edgarschnfld/CADA-VAE-PyTorch


202、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
源码链接:https://github.com/cherubicXN/afm_cvpr2019


203、Live Reconstruction of Large-Scale Dynamic Outdoor Worlds
作者:Ondrej Miksik, Vibhav Vineet
论文链接:https://arxiv.org/abs/1903.06708


204、Automatic adaptation of object detectors to new domains using self-training
作者:Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller
论文链接:https://arxiv.org/abs/1904.07305


205、A Bayesian Perspective on the Deep Image Prior
作者:Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
论文链接:https://arxiv.org/abs/1904.07457
源码链接:https://github.com/ZezhouCheng/GP-DIP


206、Focus Is All You Need: Loss Functions For Event-based Vision
作者:Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
论文链接:https://arxiv.org/abs/1904.07235


207、Semantically Aligned Bias Reducing Zero Shot Learning
作者:Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
论文链接:https://arxiv.org/abs/1904.07659


208、ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
作者:Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh
论文链接:http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html
源码链接:https://github.com/jiaxiaojunQAQ/Comdefend
论文解读:CVPR 2019 | 图像压缩重建也能抵御对抗样本,这是一种新的防守策略


209、REPAIR: Removing Representation Bias by Dataset Resampling
作者:Yi Li, Nuno Vasconcelos
论文链接:https://arxiv.org/abs/1904.07911
源码链接:https://github.com/JerryYLi/Dataset-REPAIR/


210、Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations(Oral)
作者:David Acuna, Amlan Kar, Sanja Fidler
论文链接:https://arxiv.org/abs/1904.07934
项目链接:https://nv-tlabs.github.io/STEAL/


211、Multi-Scale Geometric Consistency Guided Multi-View Stereo
作者:Qingshan Xu, Wenbing Tao
论文链接:https://arxiv.org/abs/1904.08103


212、DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network
作者:Robin Kreuzig, Matthias Ochs, Rudolf Mester
论文链接:https://arxiv.org/abs/1904.08105


213、Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection
作者:Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
论文链接:https://arxiv.org/abs/1904.08208


214、LO-Net: Deep Real-time Lidar Odometry
作者:Qing Li, Shaoyang Chen, Cheng Wang, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li
论文链接:https://arxiv.org/abs/1904.08242


215、Events-to-Video: Bringing Modern Computer Vision to Event Cameras
作者:Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
论文链接:https://arxiv.org/abs/1904.08298


216、ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging(Oral)
作者: Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, and James Hays
论文链接:https://contactdb.cc.gatech.edu/contactdb_paper.pdf
源码链接:https://github.com/samarth-robo/contactdb_prediction


217、Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
作者:Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
论文链接:https://arxiv.org/abs/1904.08482


218、Few-Shot Learning with Localization in Realistic Settings
作者:Davis Wertheimer, Bharath Hariharan
论文链接:https://arxiv.org/abs/1904.08502


219、Progressive Attention Memory Network for Movie Story Question Answering
作者:Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo
论文链接:https://arxiv.org/abs/1904.08607


220、DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
作者:Toby Perrett, Dima Damen
论文链接:https://arxiv.org/abs/1904.08634


221、A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
作者:Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro
论文链接:https://arxiv.org/abs/1904.08720

222、4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
作者:Christopher Choy, JunYoung Gwak, Silvio Savarese
论文链接:https://arxiv.org/abs/1904.08755


223、Attentive Single-Tasking of Multiple Tasks
作者:Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos
论文链接:https://arxiv.org/abs/1904.08918


224、Listen to the Image
作者:Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang
论文链接:https://arxiv.org/abs/1904.09115


225、SelFlow: Self-Supervised Learning of Optical Flow
作者:Pengpeng Liu, Michael Lyu, Irwin King, Jia Xu
论文链接:https://arxiv.org/abs/1904.09117


226、Visualizing the decision-making process in deep neural decision forest
作者:Shichao Li, Kwang-Ting Cheng
论文链接:https://arxiv.org/abs/1904.09201
源码链接:https://github.com/Nicholasli1995/VisualizingNDF


227、Data-Driven Neuron Allocation for Scale Aggregation Networks
作者:Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang
论文链接:https://arxiv.org/abs/1904.09460


228、TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
作者:Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
论文链接:https://arxiv.org/abs/1904.09571


229、Deep Metric Learning Beyond Binary Supervision(Oral)
作者:Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak
论文链接:https://arxiv.org/abs/1904.09626


230、Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
作者: Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
论文链接:https://arxiv.org/abs/1904.09970
源码链接:https://github.com/paschalidoud/superquadric_parsing


231、Unsupervised Person Image Generation with Semantic Parsing Transformation
作者:Sijie Song, Wei Zhang, Jiaying Liu, Tao Mei
论文链接:https://arxiv.org/abs/1904.03379
项目链接:https://github.com/SijieSong/person_generation_spt


232、Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
作者:Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu
论文链接:https://arxiv.org/abs/1904.04776


233、Learning Actor Relation Graphs for Group Activity Recognition
作者:Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu
论文链接:https://arxiv.org/abs/1904.10117


234、Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
作者:Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
论文链接:https://arxiv.org/abs/1904.10167


235、Attention-guided Network for Ghost-free High Dynamic Range Imaging
作者:Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian Reid, Yanning Zhang
论文链接:https://arxiv.org/abs/1904.10293


236、Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation
作者:Fengda Zhu, Linchao Zhu, Yi Yang
论文链接:https://arxiv.org/abs/1904.03895


237、Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation
作者:Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang
论文链接:https://arxiv.org/abs/1904.10506v1
源码链接:https://github.com/zhuhao-nju/hmd.git


238、Universal Domain Adaptation
作者:Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael . Jordan
论文链接:https://youkaichao.github.io/files/cvpr2019/1628.pdf
源码链接:https://github.com/thuml/Universal-Domain-Adaptation


239、STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
作者:Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen
论文链接:https://arxiv.org/abs/1904.09709
源码链接:https://github.com/csmliu/STGAN


240、DeepCaps: Going Deeper with Capsule Networks
作者:Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo
论文链接:https://arxiv.org/abs/1904.09546
源码链接:https://github.com/brjathu/deepcaps


241、Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
作者:Kshitij Dwivedi, Gemma Roig
论文链接:https://arxiv.org/abs/1904.11740
源码链接:https://github.com/kshitijd20/RSA-CVPR19-release


242、Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis
作者:Yu Yu, Gang Liu, Jean-Marc Odobez
论文链接:https://arxiv.org/abs/1904.10638


243、Transferrable Prototypical Networks for Unsupervised Domain Adaptation(Oral)
作者:Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei
论文链接:https://arxiv.org/abs/1904.11227


244、Exploring Object Relation in Mean Teacher for Cross-Domain Detection
作者:Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao
论文链接:https://arxiv.org/abs/1904.11245


245、Pointing Novel Objects in Image Captioning
作者:Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei
论文链接:https://arxiv.org/abs/1904.11251



246、Style Transfer by Relaxed Optimal Transport and Self-Similarity
作者:Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich
论文链接:https://arxiv.org/pdf/1904.12785.pdf
源码链接:https://github.com/nkolkin13/STROTSS


247、Decoders Matter for Semantic Segmentation:Data-Dependent Decoding Enables Flexible Feature Aggregation
作者:Zhi Tian, Tong He, Chunhua Shen, Youliang Yan
论文链接:https://arxiv.org/abs/1903.02120


248、Improving Transferability of Adversarial Examples with Input Diversity
作者:Cihang Xie; Yuyin Zhou; Song Bai; Zhishuai Zhang; Jianyu Wang; Zhou Ren; Alan Yuille
论文链接:https://arxiv.org/abs/1803.06978
源码链接:https://github.com/cihangxie/DI-2-FGSM


249、Contrastive Adaptation Network for Unsupervised Domain Adaptation
作者:Guoliang Kang, Lu Jiang, Yi Yang, Alexander G Hauptmann
论文链接:https://arxiv.org/pdf/1901.00976.pdf


250、Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
作者:Shuhan Tan, Jiening Jiao, Wei-Shi Zheng
论文链接:https://arxiv.org/abs/1904.13179


251、Self-Supervised Convolutional Subspace Clustering Network
作者:Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin
论文链接:https://arxiv.org/abs/1905.00149


252、AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
作者:Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li
论文链接:https://arxiv.org/abs/1905.00292


253、Pushing the Boundaries of View Extrapolation with Multiplane Images
作者:Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely
论文链接:https://arxiv.org/abs/1905.00413


254、Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus
作者:Thomas Möllenhoff, Daniel Cremers
论文链接:https://arxiv.org/abs/1905.00851


255、Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
作者:Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-peng Lim, Steven C. H. Hoi
论文链接:https://arxiv.org/abs/1905.01273



256、Dissecting Person Re-identification from the Viewpoint of Viewpoint
作者:Ting Zhao, Xiangqian Wu
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


257、Meta-Transfer Learning for Few-Shot Learning
作者:Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele
论文链接:https://arxiv.org/pdf/1812.02391.pdf
源码链接:https://github.com/y2l/meta-transfer-learning-tensorflow


258、Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
作者:Spyros Gidaris, Nikos Komodakis
论文链接:https://arxiv.org/abs/1905.01102
源码链接:https://github.com/gidariss/wDAE_GNN_FewShot


259、Query-guided End-to-End Person Search
作者:Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso
论文链接:https://arxiv.org/abs/1905.01203


260、Edge-labeling Graph Neural Network for Few-shot Learning
作者:Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
论文链接:https://arxiv.org/abs/1905.01436


261、Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery
作者:Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang
论文链接:https://arxiv.org/abs/1905.01447


262、Towards Instance-level Image-to-Image Translation
作者:Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas Huang
论文链接:https://arxiv.org/abs/1905.01744
项目链接:http://zhiqiangshen.com/projects/INIT/index.html


263、P2SGrad: Refined Gradients for Optimizing Deep Face Models
作者:Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li
论文链接:https://arxiv.org/abs/1905.02479


264、Capture, Learning, and Synthesis of 3D Speaking Styles
作者:Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black
论文链接:https://arxiv.org/abs/1905.03079


265、Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
作者:Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis
论文链接:https://arxiv.org/abs/1905.03244
项目链接:https://www.seas.upenn.edu/~nkolot/projects/cmr/


266、Learning Loss for Active Learning
作者:Donggeun Yoo, In So Kweon
论文链接:https://arxiv.org/abs/1905.03677


267、Deep Sky Modeling for Single Image Outdoor Lighting Estimation
作者:Yannick Hold-Geoffroy, Akshaya Athawale, Jean-François Lalonde
论文链接:https://arxiv.org/abs/1905.03897


268、Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
作者:Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu
论文链接:https://arxiv.org/abs/1905.04016


269、Domain-Aware Generalized Zero-Shot Learning
作者:Yuval Atzmon, Gal Chechik
论文链接:https://arxiv.org/pdf/1812.09903.pdf


270、Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval
作者:Binghui Chen, Weihong Deng
论文链接:http://www.bhchen.cn/paper/cvpr19.pdf
源码链接:https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning


271、Generative Dual Adversarial Network for Generalized Zero-shot Learning
作者:He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang
论文链接:https://arxiv.org/abs/1811.04857
源码链接:https://github.com/stevehuanghe/GDAN


281、Learning to Fuse Things and Stuff
作者:Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon
论文链接:https://arxiv.org/pdf/1812.01192.pdf


282、On Finding Gray Pixels
作者:Yanlin Qian, Joni-Kristian Kämäräinen, Jarno Nikkanen, Jiri Matas
论文链接:https://arxiv.org/abs/1901.03198
源码链接:https://github.com/yanlinqian/Grayness-Index (matlab)


283、Wide-Context Semantic Image Extrapolation
作者:Yi Wang, Xin Tao, Xiaoyong Shen, Jiaya Jia
论文链接:http://jiaya.me/papers/imgextrapolation_cvpr19.pdf


284、Polarimetric Camera Calibration Using an LCD Monitor
作者:Zhixiang Wang, Yinqiang Zheng, Yung-Yu Chuang
论文链接:https://www.csie.ntu.edu.tw/~cyy/publications/papers/Wang2019PCC.pdf


285、SiCloPe: Silhouette-Based Clothed People
作者:Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima
论文链接:https://arxiv.org/abs/1901.00049


286、From Coarse to Fine: Robust Hierarchical Localization at Large Scale
作者:Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, Marcin Dymczyk
论文链接:https://arxiv.org/abs/1812.03506


287、Label Efficient Semi-Supervised Learning via Graph Filtering
作者:Qimai Li,Xiao-Ming Wu,Han Liu,Xiaotong Zhang
论文链接:https://arxiv.org/pdf/1901.09993.pdf


288、Learning Video Representations from Correspondence Proposals(Oral)
作者:Xingyu Liu, Joon-Young Lee, Hailin Jin
论文链接:https://arxiv.org/abs/1905.07853


289、Side Window Filtering(Oral)
作者:Hui Yin, Yuanhao Gong, Guoping Qiu
论文链接:https://arxiv.org/abs/1905.07177
源码链接:https://github.com/YuanhaoGong/SideWindowFilter


290、Spectral Metric for Dataset Complexity Assessment
作者:Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin
论文链接:https://arxiv.org/abs/1905.07299


291、Disentangling Adversarial Robustness and Generalization
作者:David Stutz, Matthias Hein, Bernt Schiele
论文链接:https://arxiv.org/abs/1812.00740


292、Kernel Transformer Networks for Compact Spherical Convolution(Facebook)
作者:Yu-Chuan Su, Kristen Grauman
论文链接:https://research.fb.com/wp-content/uploads/2019/05/Kernel-Transformer-Networks-for-Compact-Spherical-Convolution.pdf


293、Learning 3D Human Dynamics from Video
作者:Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik
论文链接:https://arxiv.org/abs/1812.01601
项目链接:https://akanazawa.github.io/human_dynamics/
源码链接:https://github.com/akanazawa/human_dynamics


294、Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
作者:Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu
论文链接:https://arxiv.org/abs/1905.09265
源码链接:https://github.com/lelimite4444/BridgeDepthFlow


295、Multi-Level Context Ultra-Aggregation for Stereo Matching(南开大学)
作者:Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang
论文链接:http://dpfan.net/wp-content/uploads/09CVPR_StereoMatching_CameraReady_V12_final.pdf
项目链接:http://mmcheng.net/zh/mcua/


296、DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
作者:Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, Steven Lovegrove
论文链接:https://arxiv.org/abs/1901.05103
源码链接:https://github.com/Oktosha/DeepSDF-explained


297、Learning Implicit Fields for Generative Shape Modeling
作者:Zhiqin Chen, Hao Zhang
论文链接:https://arxiv.org/abs/1812.02822
源码链接:https://github.com/czq142857/implicit-decoder


298、ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
作者:Han Cai, Ligeng Zhu, Song Han
论文链接:https://arxiv.org/abs/1812.00332
源码链接:https://github.com/MIT-HAN-LAB/ProxylessNAS


299、Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
作者:Marvin Teichmann, Andre Araujo, Menglong Zhu, Jack Sim
论文链接:https://arxiv.org/abs/1812.01584
源码链接:https://github.com/tensorflow/models/tree/master/research/delf


300、Speech2Face: Learning the Face Behind a Voice
作者:Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
论文链接:https://arxiv.org/abs/1905.09773
项目链接:https://speech2face.github.io/


301、Detecting Overfitting of Deep Generators via Latent Recovery

作者:Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie
论文链接:https://arxiv.org/pdf/1901.03396v1.pdf
源码链接:https://github.com/ryanwebster90/gen-overfitting-latent-recovery


302、Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes

用于静止或动态场景的无监督深度极线流

作者:Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li
论文链接:https://arxiv.org/pdf/1904.03848v1.pdf
源码链接:https://github.com/yiranzhong/EPIflow


303、Isospectralization, or how to hear shape, style, and correspondence

Isospectization,或如何听取形状,风格和通信

作者:Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
论文链接:https://arxiv.org/abs/1811.11465v2
源码链接:https://github.com/lcosmo/isospectralization


304、From Recognition to Cognition: Visual Commonsense Reasoning(Oral)

从认知到认知:视觉常识推理

作者:Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi
论文链接:https://arxiv.org/pdf/1811.10830v2.pdf
源码链接:https://github.com/rowanz/r2c


305、Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach(Oral)

Unsupervised Visual Domain Adaptation:深度最大边缘高斯过程方法

作者:Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
论文链接:https://arxiv.org/pdf/1902.08727.pdf
源码链接:https://github.com/seqam-lab/GPDA


306、Deformable ConvNets v2: More Deformable, Better Results

Deformable ConvNets v2:更加可变形,更好的结果

作者:Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai
论文链接:https://arxiv.org/pdf/1811.11168v2.pdf
源码链接:https://github.com/msracver/Deformable-ConvNets

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