原文鏈接：http://bbs.cvmart.net/topics/302/cvpr2019paper
本文論文鏈接較多，前往原文查看可以直接跳轉

作爲計算機視覺領域三大頂會之一，CVPR2019（2019.6.16-6.19在美國洛杉磯舉辦）被CVers 重點關注。目前CVPR 2019 接收結果已經出來啦，相關報道：1300篇！CVPR2019接收結果公佈，你中了嗎？

目錄：(也歡迎大家推薦自己的CVPR2019文章，以下篇幅較大，分類如有錯誤歡迎留言指出和補充謝謝~）

檢測 38
分割 50
分類、識別 19
跟蹤 20
人臉 12
人體姿態估計/手勢姿態估計、位姿估計 26
行爲/動作識別、手勢識別 13
時序動作檢測、視頻相關 19
Related to Networks 39
GAN、圖像文本生成 25
圖像/視頻處理、超分辨 24
點雲、三維重建 44
VQA、視覺語言導航 12
OCR、文本檢測 10
自動駕駛、SLAM 12
人羣計數 3
數據集、Benchmark 10
行人重識別、行人檢測 9
其他 200

檢測

1、Stereo R-CNN based 3D Object Detection for Autonomous Driving
作者：Peiliang Li, Xiaozhi Chen, Shaojie Shen
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.09630
論文解讀：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.10903
Github源碼：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1901.03278
論文解讀：https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g
Github鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.00621
論文解讀：CVPR2019 | FSAF：來自CMU的Single-Shot目標檢測算法
一作直播：CVPR2019 專題直播 | CMU 諸宸辰:基於 Anchor-free 特徵選擇模塊的單階目標檢測

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
論文鏈接：https://arxiv.org/abs/1812.02122
代碼鏈接：https://github.com/cherubicXN/afm_cvpr2019

11、Latent Space Autoregression for Novelty Detection 作者：Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara 論文鏈接：https://arxiv.org/abs/1807.01653 代碼鏈接: 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
論文鏈接：https://arxiv.org/abs/1812.04798

13、Few-shot Adaptive Faster R-CNN
作者：Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.10831

15、Bounding Box Regression with Uncertainty for Accurate Object Detection（目標檢測邊界框迴歸損失算法）
作者：Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang
論文鏈接：https://arxiv.org/abs/1809.08545
代碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/pdf/1904.01690.pdf

19、Libra R-CNN: Towards Balanced Learning for Object Detection(目標檢測)
作者：Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.03175

21、Towards Universal Object Detection by Domain Attention
作者：Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
論文鏈接：https://arxiv.org/abs/1904.04402
項目鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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 論文鏈接：https://arxiv.org/abs/1904.09569 源碼鏈接：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
論文鏈接：https://drive.google.com/open?id=1JcZMHBXEX-7AR1P010OXg_wCCC5HukeZ （需要申請）
源碼鏈接：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
論文鏈接：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
論文鏈接：待定
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1810.08425v3
源碼鏈接：https://github.com/KimSoybean/ScratchDet
論文解讀：CVPR 2019 Oral | 京東AI研究院提出 ScratchDet：隨機初始化訓練SSD目標檢測器

30、Pyramid Feature Attention Network for Saliency detection
作者：Ting Zhao, Xiangqian Wu
論文鏈接：https://arxiv.org/abs/1903.00179
源碼鏈接：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
論文鏈接：待定
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1905.03415
源碼鏈接：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
論文鏈接：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
論文鏈接：待更新
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1905.04354

36、An Iterative and Cooperative Top-down and Bottom-up Inference Network for Salient Object Detection(南開大學)
作者：Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao
論文鏈接：http://mftp.mmcheng.net/Papers/19cvprIterativeSOD.pdf

37、Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection（南開大學）
作者：Jiaxing Zhao*, Yang Cao*, Deng-Ping Fan*, Xuan-Yi Li, Le Zhang, Ming-Ming Cheng. (* co-first author)
論文鏈接：http://dpfan.net/wp-content/uploads/19cvprRrbdSOD-cameraReady.pdf
項目鏈接：https://mmcheng.net/rgbdsalpyr/

38、Bottom-up Object Detection by Grouping Extreme and Center Points
作者：Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl
論文鏈接：https://arxiv.org/abs/1901.08043
源碼鏈接：https://github.com/xingyizhou/ExtremeNet

39、Exploring the Bounds of the Utility of Context for Object Detection
探討用於物體檢測的上下文效用的界限
作者：Ehud Barnea, Ohad Ben-Shahar
論文鏈接：https://arxiv.org/abs/1711.05471v4
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.03904
論文解讀：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.09852
代碼鏈接：https://github.com/WXinlong/ASIS

4、3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
作者：Ji Hou Angela Dai Matthias Nießner
論文鏈接：https://niessnerlab.org/projects/hou20183dsis.html
YouTube視頻：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
論文鏈接：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
論文鏈接：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 論文鏈接：https://arxiv.org/abs/1809.02983 Github源碼：https://github.com/junfu1115/DANet

8、Mask Scoring R-CNN
作者：Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang
論文鏈接：https://arxiv.org/abs/1903.00241
Github鏈接：https://github.com/zjhuang22/maskscoring_rcnn
論文解讀：https://mp.weixin.qq.com/s/aP7O7AF6WoynWK_FFHkOTw

9、Hybrid Task Cascade for Instance Segmentation（實例分割）
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
論文鏈接：https://arxiv.org/abs/1901.07518
論文解讀：https://mp.weixin.qq.com/s/xug0xKfc9RgJEUci1a_xog
Github鏈接：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
論文鏈接：https://arxiv.org/abs/1903.02494

11、MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
作者：Yazan Abu Farha, Juergen Gall
論文鏈接：https://arxiv.org/abs/1903.01945

12、Structured Knowledge Distillation for Semantic Segmentation(語義分割）
作者：Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.05612
項目鏈接：https://imatge-upc.github.io/rvos/

14、Structured Knowledge Distillation for Semantic Segmentation（語義分割）
作者：Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
論文鏈接：https://arxiv.org/abs/1903.04197

15、Knowledge Adaptation for Efficient Semantic Segmentation（語義分割）
作者：Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.08469
代碼鏈接：https://github.com/orsic/swiftnet

18、Large-scale interactive object segmentation with human annotators
作者：Rodrigo Benenson, Stefan Popov, Vittorio Ferrari
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1803.10683
項目鏈接：http://www.liruilong.cn/Pose2Seg/index.html
代碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.00699
項目鏈接：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
論文鏈接：https://arxiv.org/abs/1904.02363
代碼鏈接：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
論文鏈接：https://arxiv.org/pdf/1902.09383.pdf
源碼鏈接：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
論文鏈接：http://cvlab.citi.sinica.edu.tw/images/paper/cvpr-hsu19.pdf
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.05730

29、DFANet：Deep Feature Aggregation for Real-Time Semantic Segmentation（曠視）
作者：Hanchao Li, Pengfei Xiong,Haoqiang Fan,Jian Sun
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.11693

35、Bidirectional Learning for Domain Adaptation of Semantic Segmentation
作者：Yunsheng Li, Lu Yuan, Nuno Vasconcelos
論文鏈接：https://arxiv.org/abs/1904.10620
源碼鏈接：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
論文鏈接：http://www.dabi.temple.edu/~hbling/publication/UVOS-cvpr19.pdf
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.00518
源碼鏈接：https://github.com/twni2016/Elastic-Boundary-Projection

38、Seamless Scene Segmentation
作者：Lorenzo Porzi, Samuel Rota Bulò, Aleksander Colovic, Peter Kontschieder
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1905.01298
項目鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/pdf/1903.05027.pdf

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

43、Panoptic Segmentation
作者：Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://www.csie.ntu.edu.tw/~cyy/publications/papers/Hsu2019DCO.pdf
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1811.12833
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1905.06368
源碼鏈接：https://github.com/chenwydj/ultra_high_resolution_segmentation

49、S4Net: Single Stage Salient-Instance Segmentation（南開大學）
作者：Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu
論文鏈接：http://mftp.mmcheng.net/Papers/19cvprS4Net.pdf
源碼鏈接：https://github.com/RuochenFan/S4Net
項目鏈接：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
論文鏈接：https://arxiv.org/abs/1901.02985
源碼鏈接：https://github.com/tensorflow/models/tree/master/research/deeplab

分類、識別

1、Learning a Deep ConvNet for Multi-label Classification with Partial Labels(分類)
作者：Thibaut Durand, Nazanin Mehrasa, Greg Mori
論文鏈接：https://arxiv.org/abs/1902.09720

2、Efficient Video Classification Using Fewer Frames
作者：Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.02827

4、All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification（分類）
作者：Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.01187
源碼鏈接：https://github.com/dmlc/gluon-cv
論文解讀：圖像分類技巧：Bag of Tricks for Image Classification with Convolutional Neural Networks

6、Direct Object Recognition Without Line-of-Sight Using Optical Coherence(目標識別）
作者：Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
論文鏈接：https://arxiv.org/abs/1903.07705

7、Direct Object Recognition Without Line-of-Sight Using Optical Coherence(非視距物體識別技術)
作者：Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
論文鏈接：https://arxiv.org/abs/1903.07705

8、C2AE: Class Conditioned Auto-Encoder for Open-set Recognition(Oral)
作者：Poojan Oza, Vishal M Patel
論文鏈接：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
論文鏈接：http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/files/ZPHN-CVPR19.pdf
代碼鏈接：https://github.com/tiancheng-zhi/ms-powder
項目鏈接：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
論文鏈接：https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf
源碼鏈接：https://github.com/zhmiao/OpenLongTailRecognition-OLTR

11、Multi-Label Image Recognition with Graph Convolutional Networks（多標籤圖像識別）
作者：Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo
論文鏈接：https://arxiv.org/abs/1904.03582
源碼鏈接：https://github.com/chenzhaomin123/ML_GCN
簡介：本工作針對多標記識別的核心問題，即“如何有效建模標記間的協同關係”進行探索，提出基於圖卷積（GCN）的端到端系統，通過data-driven方式建立標記間有向圖（directed graph）並由GCN將類別標記映射（mapping）爲對應類別分類器，以此建模類別關係，同時可提升表示學習能力。此外針對GCN中的關鍵元素correlation matrix進行了深入分析和重設計，使其更勝任多標記問題。

12、Gait Recognition via Disentangled Representation Learning（Oral 步態識別）
作者：Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang
論文鏈接：https://arxiv.org/abs/1904.04925

13、Adaptively Connected Neural Networks（分類）
作者：Guangrun Wang, Keze Wang, Liang Lin
論文鏈接：https://arxiv.org/abs/1904.03579
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.12254
源碼鏈接：https://ownstyledu.github.io/Translate-to-Recognize-Networks/

18、Progressive Ensemble Networks for Zero-Shot Recognition
作者：Meng Ye, Yuhong Guo
論文鏈接：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
論文鏈接：https://arxiv.org/pdf/1811.07993.pdf

跟蹤

1、Fast Online Object Tracking and Segmentation: A Unifying Approach(SiamMask,目標跟蹤）
作者：Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr
論文鏈接：https://arxiv.org/abs/1812.05050
Github鏈接：https://github.com/foolwood/SiamMask
project鏈接：http://www.robots.ox.ac.uk/~qwang/SiamMask/
論文解讀：CVPR2019 | SiamMask：視頻跟蹤最高精度

2、Deeper and Wider Siamese Networks for Real-Time Visual Tracking(CIR,目標跟蹤）
作者：Zhipeng Zhang, Houwen Peng
論文鏈接：https://arxiv.org/pdf/1901.01660.pdf
Code鏈接：https://gitlab.com/MSRA_NLPR/deeper_wider_siamese_trackers

3、SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks(目標跟蹤）
作者：Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan
論文鏈接：https://arxiv.org/pdf/1812.11703.pdf
Project鏈接：http://bo-li.info/SiamRPN++/
論文解讀：https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ

4、Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking(CRPN,目標跟蹤）
作者：Heng Fan, Haibin Ling
論文鏈接：https://arxiv.org/pdf/1812.06148.pdf

5、LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking(目標跟蹤）
作者：Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling
論文鏈接：https://arxiv.org/pdf/1809.07845.pdf
project鏈接：https://cis.temple.edu/lasot/

6、Leveraging Shape Completion for 3D Siamese Tracking
作者：Silvio Giancola, Jesus Zarzar, Bernard Ghanem
論文鏈接：https://arxiv.org/abs/1903.01784

7、Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics（多目標跟蹤)
作者：Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.03604

14、Target-Aware Deep Tracking
作者：Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.01892

17、SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking（視覺跟蹤）
作者：Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng
論文鏈接：https://arxiv.org/abs/1904.04452

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

19、ATOM: Accurate Tracking by Overlap Maximization(Oral,目標跟蹤)
作者：Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg
論文鏈接：https://arxiv.org/abs/1811.07628
源碼鏈接：https://github.com/visionml/pytracking

20、Visual Tracking via Adaptive Spatially-Regularized Correlation Filters（視覺跟蹤）
作者：Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li
論文鏈接：https://pan.baidu.com/s/1sD-w1tHfA5ZwIbrnCtUI2Q
源碼鏈接：https://github.com/Daikenan/ASRCF

人臉

1、Disentangled Representation Learning for 3D Face Shape
作者：Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.10744

3、ArcFace: Additive Angular Margin Loss for Deep Face Recognition（人臉識別）
作者：Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou
論文鏈接：https://arxiv.org/abs/1801.07698
Demo鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.02860

7、Efficient Decision-based Black-box Adversarial Attacks on Face Recognition（人臉識別）
作者：Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu
論文鏈接：https://arxiv.org/abs/1904.04433

8、Towards High-fidelity Nonlinear 3D Face Morphable Model
作者：Luan Tran, Feng Liu, Xiaoming Liu
論文鏈接：https://arxiv.org/abs/1904.04933
項目鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1905.03820

11、Deep Face Recognition via Exclusive Regularization(南開大學，人臉識別)
作者：Kai Zhao, Jingyi Xu, Ming-Ming Cheng
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1811.11431
源碼鏈接：https://github.com/sacmehta/ESPNetv2

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

MVF-Net：多視圖3D面部可變模型迴歸

作者：Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu
論文鏈接：https://arxiv.org/abs/1904.04473
源碼鏈接：https://github.com/Fanziapril/mvfnet

人體姿態估計/手勢姿態估計、位姿估計

1、Deep High-Resolution Representation Learning for Human Pose Estimation(目前SOTA,已經開源)
作者：Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang
論文鏈接：https://128.84.21.199/abs/1902.09212
代碼鏈接：https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
論文解讀：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
論文鏈接：https://arxiv.org/abs/1901.04780
論文解讀：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.02330
Github鏈接：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
論文鏈接：https://arxiv.org/abs/1901.04111
項目鏈接：https://zju-3dv.github.io/mvpose/
代碼鏈接：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
論文鏈接：https://arxiv.org/pdf/1901.00063.pdf
代碼鏈接: 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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.03595
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1901.02970

11、PifPaf: Composite Fields for Human Pose Estimation(姿態估計）
作者：Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi
論文鏈接：https://arxiv.org/abs/1903.06593
Demo鏈接：https://github.com/vita-epfl/openpifpafwebdemo

12、Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation(Oral，3D姿態估計)
作者：Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.00324
代碼鏈接：https://github.com/Jeff-sjtu/CrowdPose

14、Dense Intrinsic Appearance Flow for Human Pose Transfer
作者：Yining Li, Chen Huang, Chen Change Loy
論文鏈接：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
論文鏈接：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
論文鏈接：https://github.com/shamangary/FSA-Net/blob/master/0191.pdf
源碼鏈接：https://github.com/shamangary/FSA-Net

17、Segmentation-driven 6D Object Pose Estimation
作者：Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
論文鏈接：https://arxiv.org/abs/1812.02541
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.03349
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.03289

22、CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation（手勢姿態估計）
作者：Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma
論文鏈接：待更新
源碼鏈接：https://github.com/dumyy/handpose

23、Self supervised 3D hand pose estimation（Oral，手勢姿態估計）
作者：Shile Li, Dongheui Lee
論文鏈接：http://www.vision.ee.ethz.ch/~wanc/papers/cvpr2019.pdf
源碼鏈接：https://github.com/melonwan/sphereHand

24、Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer（手勢姿態估計）
作者：Shile Li, Dongheui Lee
論文鏈接：https://arxiv.org/pdf/1812.02050.pdf

25、Disentangling Latent Hands for Image Synthesis and Pose Estimation
作者：Linlin Yang, Angela Yao
論文鏈接：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
論文鏈接：https://research.fb.com/wp-content/uploads/2019/05/3D-human-pose-estimation-in-video-with-temporal-convolutions-and-semi-supervised-training.pdf

行爲/動作識別、手勢識別

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
論文鏈接：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
鏈接：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
論文鏈接：https://arxiv.org/abs/1903.01197

4、Peeking into the Future: Predicting Future Person Activities and Locations in Videos(行爲預測）
作者：Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.05684

6、Action Recognition from Single Timestamp Supervision in Untrimmed Videos（動作識別）
作者：Davide Moltisanti, Sanja Fidler, Dima Damen
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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 論文鏈接：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 論文鏈接：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 論文鏈接：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 論文鏈接：https://research.fb.com/wp-content/uploads/2019/05/DMC-Net-Generating-Discriminative-Motion-Cues-for-Fast-Compressed-Video-Action-Recognition.pdf

時序動作檢測及視頻相關

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
論文鏈接：https://arxiv.org/abs/1902.10322
來源：https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

2、Single-frame Regularization for Temporally Stable CNNs（視頻處理）
作者：Gabriel Eilertsen, Rafał K. Mantiuk, Jonas Unger
論文鏈接：https://arxiv.org/abs/1902.10424
來源：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
論文鏈接：https://arxiv.org/pdf/1901.02571.pdf
project鏈接：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 論文鏈接：https://arxiv.org/pdf/1805.09806.pdf
5、Representation Flow for Action Recognition 作者：AJ Piergiovanni, Michael S. Ryoo 論文鏈接：https://arxiv.org/abs/1810.01455 項目鏈接：https://piergiaj.github.io/rep-flow-site/ 代碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.04480
源碼鏈接：https://github.com/junting/seg2vid/tree/master

8、Inserting Videos into Videos
作者：Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang
論文鏈接：https://arxiv.org/abs/1903.06571

9、Recurrent Back-Projection Network for Video Super-Resolution
作者：Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
論文鏈接：https://alterzero.github.io/projects/rbpn_cvpr2019.pdf
代碼鏈接：https://github.com/alterzero/RBPN-PyTorch
項目鏈接：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
論文鏈接：https://sites.google.com/view/wenbobao/dain
代碼鏈接：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 論文鏈接：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
論文鏈接：https://arxiv.org/abs/1809.06181
代碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1811.07275

2、Iterative Residual CNNs for Burst Photography Applications
作者：Filippos Kokkinos Stamatis Lefkimmiatis
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1806.07550
簡要：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.00709

12、3D Point-Capsule Networks
作者：Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/pdf/1812.11647.pdf
代碼鏈接: 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
論文鏈接：https://arxiv.org/abs/1812.04210
簡要：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.09811

22、Selective Kernel Networks
作者：Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang
論文鏈接：https://arxiv.org/abs/1903.06586
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1903.07366
項目鏈接：http://gychen.org/SDPS-Net/
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1903.07366
項目鏈接：http://gychen.org/SDPS-Net/
代碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1811.08264
代碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.00346

31、Kervolutional Neural Networks
作者：Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1811.00250
源碼鏈接：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
論文鏈接：https://dsmn.ml/publications/d2-net.html
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.09290
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1811.11431
源碼鏈接：https://github.com/sacmehta/ESPNetv2

GAN、圖像文本生成

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
論文鏈接：https://arxiv.org/abs/1811.08230

2、Mixture Density Generative Adversarial Networks
作者：Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.05978
github鏈接：https://github.com/barisgecer/ganfit

4、Self-Supervised Generative Adversarial Networks
作者：Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
論文鏈接：https://arxiv.org/abs/1811.11212
Github鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.05628
代碼鏈接：https://github.com/HelenMao/MSGAN （待更新）

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

8、From Adversarial Training to Generative Adversarial Networks
作者：Xuanqing Liu, Cho-Jui Hsieh
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.08550

10、SalGAN: Visual Saliency Prediction with Generative Adversarial Networks（商湯/華爲/港中文）
作者：Junting Pan, Cristian Canton Ferrer, Kevin McGuinness, Noel E. O’Connor, Jordi Torres, Elisa Sayrol, Xavier Giro-i-Nieto
論文鏈接：https://arxiv.org/abs/1701.01081
代碼鏈接：https://github.com/junting/seg2vid

11、StoryGAN: A Sequential Conditional GAN for Story Visualization（圖像文本生成）
作者：Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao
論文鏈接：https://arxiv.org/abs/1812.02784
代碼鏈接：https://github.com/yitong91/StoryGAN

12、Object-driven Text-to-Image Synthesis via Adversarial Training（圖像文本生成）
作者：Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1809.01110
代碼鏈接：https://github.com/uvavision/Text2Image

14、Image Generation from Layout
作者：Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal
論文鏈接：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
論文鏈接：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 論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.06807
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1811.11212

24、Sphere Generative Adversarial Network Based on Geometric Moment Matching
作者：Sung Woo Park and Junseok Kwon
論文鏈接：http://cau.ac.kr/~jskwon/paper/SphereGAN_CVPR2019.pdf
源碼鏈接：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)
論文鏈接：http://stylegan.xyz/paper
源碼鏈接：https://github.com/NVlabs/stylegan

圖像/視頻處理、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
論文鏈接：https://arxiv.org/abs/1902.10556
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1811.11127
project鏈接：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
論文鏈接：https://arxiv.org/pdf/1903.00834.pdf
項目鏈接：http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1807.04686
代碼鏈接：https://github.com/GuoShi28/CBDNet

5、Learning Parallax Attention for Stereo Image Super-Resolution(圖像超分辨)
作者：Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.05784
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1903.09814

9、Meta-SR: A Magnification-Arbitrary Network for Super-Resolution （曠視，超分辨）
作者：Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun
論文鏈接：https://arxiv.org/abs/1903.00875
論文解讀：CVPR2019 | 曠視提出Meta-SR：單一模型實現超分辨率任意縮放因子

10、Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels 作者：Kai Zhang, Wangmeng Zuo, Lei Zhang 論文鏈接：https://arxiv.org/abs/1903.12529 代碼鏈接：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 論文鏈接：https://arxiv.org/abs/1904.01538 項目鏈接：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
論文鏈接：https://arxiv.org/abs/1812.00101
代碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.02870

15、3D Appearance Super-Resolution with Deep Learning
論文鏈接：https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf
源碼鏈接：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
論文鏈接：http://staff.ustc.edu.cn/~zwxiong/cameraSR.pdf
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.00733
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1905.01639

21、Deep Flow-Guided Video Inpaintinge
作者：Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy
論文鏈接：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
論文鏈接：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 論文鏈接：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 論文鏈接：http://jiaya.me/papers/photoenhance_cvpr19.pdf

點雲、三維重建

1、The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
作者：Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.00343

3、DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
作者：Li Ding, Chen Feng
論文鏈接：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)
論文鏈接：https://arxiv.org/abs/1809.07016
簡要：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
論文鏈接：https://arxiv.org/abs/1806.01411
簡要：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（開源）
作者：Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao
論文鏈接：https://arxiv.org/abs/1902.09777
代碼鏈接：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
項目鏈接：http://gvv.mpi-inf.mpg.de/projects/FML19/
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.06482

9、Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
作者：Pelin Dogan, Leonid Sigal, Markus Gross
論文鏈接：
https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/paper.pdf
代碼鏈接：
https://github.com/chenhsuanlin/photometric-mesh-optim
項目鏈接：
https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/

10、Learning View Priors for Single-view 3D Reconstruction
作者：Hiroharu Kato, Tatsuya Harada
論文鏈接：https://arxiv.org/abs/1811.10719
項目鏈接：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
論文鏈接：https://arxiv.org/abs/1811.11286
代碼鏈接：https://github.com/yifita/3PU

12、GeoNet: Deep Geodesic Networks for Point Cloud Analysis（Oral,曠視，根據測地間隔的點雲剖析深度網絡）
作者：Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto
論文鏈接：https://arxiv.org/abs/1901.00680
論文解讀：CVPR 2019 | 曠視等Oral論文提出GeoNet：基於測地距離的點雲分析深度網絡

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
論文鏈接：https://arxiv.org/abs/1904.00699
項目鏈接：https://pqhieu.github.io/cvpr19.html

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

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

16、StereoDRNet: Dilated Residual Stereo Net
作者：Rohan Chabra, Julian Straub, Chris Sweeny, Richard Newcombe, Henry Fuchs
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.04244
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.07601
項目鏈接：https://yochengliu.github.io/Relation-Shape-CNN/
源碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.09793

22、Deep Convolutional Networks on 3D Point Clouds
作者：Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya, Debdeep Pati
論文鏈接：https://arxiv.org/pdf/1811.07246.pdf
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.12304
源碼鏈接：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
論文鏈接：https://avg.is.tuebingen.mpg.de/uploads_file/attachment/attachment/490/top.pdf
源碼鏈接：https://github.com/autonomousvision/occupancy_networks

27、Graph Attention Convolution for Point Cloud Segmentation
作者：待更新
論文鏈接：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
論文鏈接：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 論文鏈接：https://arxiv.org/abs/1812.00709 源碼鏈接：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 論文鏈接：https://www.researchgate.net/publication/332240602_Robust_Point_Cloud_Based_Reconstruction_of_Large-Scale_Outdoor_Scenes 源碼鏈接：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 論文鏈接：https://arxiv.org/abs/1903.05711 源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1811.10136
源碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.03483
源碼鏈接：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 論文鏈接：https://arxiv.org/abs/1806.02170 源碼鏈接：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 論文鏈接：https://arxiv.org/abs/1812.05784 源碼鏈接：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 論文鏈接：https://arxiv.org/abs/1811.08988 源碼鏈接：https://github.com/csimstu2/SPFN
41、PointConv: Deep Convolutional Networks on 3D Point Clouds 作者：Wenxuan Wu, Zhongang Qi, Li Fuxin 論文鏈接：https://arxiv.org/abs/1811.07246 源碼鏈接：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 論文鏈接：https://arxiv.org/abs/1904.03375v1

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

42、Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera(Oral,英偉達)
作者：Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
論文鏈接：https://arxiv.org/abs/1901.02571
源碼鏈接：https://github.com/NVlabs/neuralrgbd
項目鏈接：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
論文鏈接：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
論文鏈接：https://avg.is.tuebingen.mpg.de/publications/occupancy-networks
源碼鏈接：https://github.com/autonomousvision/occupancy_networks

VQA、視覺語言導航

1、MUREL: Multimodal Relational Reasoning for Visual Question Answering
作者：Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1811.10092
論文解讀：https://mp.weixin.qq.com/s/LsHWkdwqqrOPFgCNNcBdpg

3、Image-Question-Answer Synergistic Network for Visual Dialog
作者：Dalu Guo, Chang Xu, Dacheng Tao
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.01880
代碼鏈接：
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
論文鏈接：https://arxiv.org/abs/1810.02358

7、Information Maximizing Visual Question Generation(VQA)
作者：Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.08920

11、Grounded Video Description (Oral)
作者：Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach
論文鏈接：https://arxiv.org/abs/1812.06587
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.00971
源碼鏈接：https://github.com/allenai/savn

OCR、文本檢測

1、Shape Robust Text Detection with Progressive Scale Expansion Network（文本檢測）
作者：Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang
論文鏈接：https://arxiv.org/abs/1806.02559
代碼鏈接：https://github.com/whai362/PSENet
網友復現：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.00813

7、Character Region Awareness for Text Detection（文本檢測）
作者：Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee
論文鏈接：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
論文鏈接：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†
論文鏈接：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
論文鏈接：https://arxiv.org/pdf/1904.06535.pdf

自動駕駛

1、Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving（自動駕駛）
作者：Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
論文鏈接：https://arxiv.org/abs/1812.07179
項目鏈接：https://mileyan.github.io/pseudo_lidar/
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1811.12222
簡要：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
論文鏈接：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
論文鏈接：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
論文鏈接：
https://people.csail.mit.edu/weichium/papers/cvpr19-dsisf/paper.pdf
論文摘要：在本文中，我們解決了自動駕駛環境下的場景流量估計問題。我們利用深度學習技術以及強大的先驗，因爲在我們的應用領域中，場景的運動可以由機器人的運動和場景中的演員的3D運動來組成。

6、An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM
作者：Patrick Geneva, James Maley, Guoquan Huang
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.02957
代碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://songshiyu01.github.io/pdf/L3Net_W.Lu_Y.Zhou_S.Song_CVPR2019.pdf

人羣計數

1、Learning from Synthetic Data for Crowd Counting in the Wild
作者：Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan
論文鏈接：https://arxiv.org/abs/1903.03303

2、Point in, Box out: Beyond Counting Persons in Crowds
作者：待更新
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.11111

數據集、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
論文鏈接：https://arxiv.org/abs/1903.02874
項目鏈接：https://coin-dataset.github.io/
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1903.02741
項目鏈接：https://wellyzhang.github.io/project/raven.html

3、SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images（金山雲大規模X光違禁品安檢數據集）
作者：Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye
論文鏈接：https://arxiv.org/abs/1901.00303
論文簡要：本文針對X光安檢數據集，提出了類別平衡的分層細化模型處置數據集存在的成績。

4、A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
作者：Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.10366
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.06216
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1811.11431
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1901.07973
源碼鏈接：https://github.com/switchablenorms/DeepFashion2

行人重識別、行人檢測

1、Dissecting Person Re-identification from the Viewpoint of Viewpoint
作者：Xiaoxiao Sun, Liang Zheng
論文鏈接：https://arxiv.org/abs/1812.02162
源碼鏈接：https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint

2、Unsupervised Person Re-identification by Soft Multilabel Learning(行人再識別，Oral)
作者：Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
論文鏈接：https://arxiv.org/abs/1903.06325
源碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.01990
代碼鏈接：https://github.com/zhunzhong07/ECN

5、SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
作者：Chengju Zhou,Meiqing Wu,Siew-Kei Lam
論文鏈接：https://arxiv.org/abs/1902.09080v1
論文摘要：本文將語義分割結果作爲自我關注線索進行探索，以顯着提高行人檢測性能。

6、High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection
作者：Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu
論文鏈接：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
論文鏈接：https://github.com/liuwei16/CSP/blob/master/docs/2019CVPR-CSP.pdf
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.06859

9、Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification(行人重識別）
作者：Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, Shin’ichi Satoh
論文鏈接：https://www.csie.ntu.edu.tw/~cyy/publications/papers/Wang2019LRD.pdf

10、Pedestrian Detection with Autoregressive Network Phases
具有自迴歸網絡階段的行人檢測
作者：Garrick Brazil, Xiaoming Liu
論文鏈接：https://arxiv.org/abs/1812.00440
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1807.03480

3、Variational Bayesian Dropout
作者：Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
論文鏈接：https://arxiv.org/abs/1811.07533

4、LiFF: Light Field Features in Scale and Depth
作者：Donald G. Dansereau, Bernd Girod, Gordon Wetzstein
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.04246

6、Weakly Supervised Deep Image Hashing through Tag Embeddings
作者：Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
論文鏈接：https://arxiv.org/abs/1806.05804

7、InverseRenderNet: Learning single image inverse rendering
作者：Ye Yu, William A. P. Smith
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.10990
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1809.09478

10、Efficient Parameter-free Clustering Using First Neighbor Relations
作者：M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
論文鏈接：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
論文鏈接：https://arxiv.org/pdf/1902.03451.pdf
Github鏈接：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
論文鏈接：https://arxiv.org/pdf/1812.01598.pdf
項目鏈接：http://domedb.perception.cs.cmu.edu/monototalcapture.html

13、Learning to Synthesize Motion Blur(Oral Presentation)
作者：Tim Brooks, Jonathan T. Barron
論文鏈接：https://arxiv.org/abs/1811.11745
project鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：http://cs.sfu.ca/~hamarneh/ecopy/cvpr2019.pdf
Arxiv鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1811.10652
代碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.03680

22、Variational Autoencoders Pursue PCA Directions (by Accident)
作者：Michal Rolinek, Dominik Zietlow, Georg Martius
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.02501

25、Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation（非最終版）
作者：Zhi Tian, Chunhua Shen, Tong He, Youliang Yanl
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.01612

27、Unsupervised Domain-Specific Deblurring via Disentangled Representations
作者：Boyu Lu, Jun-Cheng Chen, Rama Chellappa
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.01534

29、.Learning Deep Compositional Grammatical Architectures for Visual Recognition
作者：Xilai Li, Tianfu Wu, Xi Song
論文鏈接：https://arxiv.org/abs/1711.05847
代碼鏈接：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
論文鏈接：https://arxiv.org/pdf/1812.06861.pdf
代碼鏈接：https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm

31、Learning Transformation Synchronization
作者：Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas Guibas, and Qixing Huang
論文鏈接：https://arxiv.org/pdf/1901.09458.pdf
代碼鏈接: 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
論文鏈接：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
論文鏈接：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
論文鏈接：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
項目鏈接：https://cs.stanford.edu/~kaichun/partnet/
論文鏈接：https://arxiv.org/abs/1812.02713
簡要：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
論文鏈接：https://arxiv.org/abs/1812.00037
簡要：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/pdf/1903.04202.pdf

42、Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation（領域自適應）
作者：Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.04704
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1811.11187
源碼鏈接：https://github.com/skanti/Scan2CAD
簡要：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
論文鏈接：https://arxiv.org/abs/1901.03861
源碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1808.06088

57、Bringing Alive Blurred Moments
作者：Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1802.09303

59、Hardness-Aware Deep Metric Learning（oral)
作者：Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou
論文鏈接：https://arxiv.org/abs/1903.05503
代碼鏈接：https://github.com/wzzheng/HDML（待更新）

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

61、3D Guided Fine-Grained Face Manipulation
作者：Zhenglin Geng, Chen Cao, Sergey Tulyakov
論文鏈接：https://arxiv.org/abs/1902.08900
簡要：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.05885

70、Pluralistic Image Completion
作者：Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
論文鏈接：https://arxiv.org/abs/1903.04227
源碼鏈接：https://github.com/lyndonzheng/Pluralistic-Inpainting
項目鏈接：http://www.chuanxiaz.com/publication/pluralistic/

71、Snapshot Distillation: Teacher-Student Optimization in One Generation（金山雲）
作者：Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille
論文鏈接：https://arxiv.org/abs/1812.00123v1
論文簡要：本文引見了第一種可以在訓練單個模型的條件下完成教員-先生優化的辦法——快照蒸餾(Snapshot Distillation)，在不引入過多的計算耗費狀況下，完成了繼續的功能提升。

72、Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning（金山雲）
作者：Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille
論文鏈接：https://arxiv.org/abs/1812.00329
論文簡要：本文提出一種適用於恣意網格尺寸與維度的“拼圖”成績的新辦法，同時提出了一個根本且具有普遍意義的準繩，即在無監視場景中較弱的信息更容易被學習，且具有更好的可遷移性。

73、Learning Correspondence from the Cycle-Consistency of Time
作者：Xiaolong Wang, Allan Jabri, Alexei A. Efros
論文鏈接：https://arxiv.org/abs/1903.07593
項目鏈接：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
論文鏈接：https://arxiv.org/abs/1903.07504

75、Semantic Image Synthesis with Spatially-Adaptive Normalization(Oral, 英偉達)
作者：Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.06864

82、Learning Correspondence from the Cycle-Consistency of Time
作者：Xiaolong Wang, Allan Jabri, Alexei A. Efros
論文鏈接：https://arxiv.org/abs/1903.07593
項目鏈接：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
論文鏈接：https://arxiv.org/abs/1903.07504

84、Semantic Image Synthesis with Spatially-Adaptive Normalization(Oral, 英偉達)
作者：Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.06864

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

92、Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
作者：Kun Yi, Jianxin Wu
論文鏈接：https://arxiv.org/abs/1903.07788

93、MagicVO: End-to-End Monocular Visual Odometry through Deep Bi-directional Recurrent Convolutional Neural Network（單目視覺測距）
作者：Jian Jiao, Jichao Jiao, Yaokai Mo, Weilun Liu, Zhongliang Deng
論文鏈接：https://arxiv.org/abs/1811.10964
論文摘要：本文提出了一種解決單眼視覺測距問題的新框架，稱爲MagicVO。基於卷積神經網絡（CNN）和雙向LSTM（Bi-LSTM），MagicVO在攝像機的每個位置輸出6-DoF絕對標度姿勢，並以一系列連續單目圖像作爲輸入。

94、Hierarchical Discrete Distribution Decomposition for Match Density Estimation（立體匹配）
作者：Zhichao Yin, Trevor Darrell, Fisher Yu
論文鏈接：https://arxiv.org/abs/1812.06264
論文簡要：在本文中，我們提出了分層離散分佈分解，稱爲HD3，以學習概率點和區域匹配。它不僅可以模擬匹配不確定性，還可以模擬區域傳播。

95、Learning Linear Transformations for Fast Arbitrary Style Transfer
作者：Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1811.09600
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1903.02728
代碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.08225

100、Explainable and Explicit Visual Reasoning over Scene Graphs
作者：Jiaxin Shi, Hanwang Zhang, Juanzi Li
論文鏈接：https://arxiv.org/abs/1812.01855
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1903.08558
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1903.08682

104、DSFD: Dual Shot Face Detector（騰訊優圖）
作者：Jian Li, Yabiao Wang, Changan Wang, Ying Tai
論文鏈接：https://arxiv.org/abs/1810.10220
代碼鏈接：https://github.com/TencentYoutuResearch/FaceDetection-DSFD
微信公衆號介紹鏈接：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
論文鏈接：https://arxiv.org/abs/1901.05127
項目鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1902.05093
代碼鏈接：https://github.com/tensorflow/models/tree/master/research/deeplab/evaluation
項目鏈接：http://deeperlab.mit.edu/

110、Im2Pencil: Controllable Pencil Illustration from Photographs(Adobe與谷歌雲等）
作者：Yijun Li,Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang
論文鏈接：https://drive.google.com/file/d/1sl5IBD36bMWAvKH7Uz7An0mcrIOmlopv/view
代碼鏈接：https://github.com/Yijunmaverick/Im2Pencil

111、Unsupervised Image Captioning
作者：Yang Feng, Lin Ma, Wei Liu, Jiebo Luo
論文鏈接：https://arxiv.org/abs/1811.10787
代碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.02122
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.03411v2
代碼鏈接：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
項目鏈接：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
論文鏈接：https://arxiv.org/abs/1901.09221
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1811.08264
代碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.11532

123、Rethinking Knowledge Graph Propagation for Zero-Shot Learning（零樣本學習/圖卷積網絡）
作者：Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing
論文鏈接：https://arxiv.org/abs/1805.11724v3
代碼鏈接：https://github.com/cyvius96/adgpm

124、End-to-End Multi-Task Learning with Attention
作者：Shikun Liu, Edward Johns, Andrew J. Davison
論文鏈接：https://arxiv.org/abs/1803.10704

125、Deep Transfer Learning for Multiple Class Novelty Detection
作者：Pramuditha Perera, Vishal M. Patel
論文鏈接：https://arxiv.org/abs/1903.02196

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

127、Learning to Transfer Examples for Partial Domain Adaptation（領域自適應）
作者：Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1903.12290

129、Lending Orientation to Neural Networks for Cross-view Geo-localization
作者：Liu Liu, Hongdong Li
論文鏈接：https://arxiv.org/abs/1903.12351
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.00725

131、Robustness of 3D Deep Learning in an Adversarial Setting
作者：Matthew Wicker, Marta Kwiatkowska
論文鏈接：https://arxiv.org/abs/1904.00923
源碼鏈接：https://github.com/matthewwicker/IterativeSalienceOcclusion

132、Depth from a polarisation + RGB stereo pair
作者：Dizhong Zhu, William A.P. Smith
論文鏈接：https://arxiv.org/abs/1903.12061
源碼鏈接：https://github.com/AmosZhu/CVPR2019

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

134、Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
作者：Vlad Hosu, Bastian Goldlucke, Dietmar Saupe
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.00637
代碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.00637
代碼鏈接：https://github.com/Vandermode/ERRNet

142、Searching for A Robust Neural Architecture in Four GPU Hours
作者：Xuanyi Dong, Yi Yang
代碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.02028
項目鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.03148

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

155、LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks
作者：Sudhakar Kumawat, Shanmuganathan Raman
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.03273

157、2.5D Visual Sound（FAIR Oral)
作者：Ruohan Gao, Kristen Grauman
論文鏈接：https://arxiv.org/abs/1812.04204
項目鏈接：http://vision.cs.utexas.edu/projects/2.5D_visual_sound/
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.04272

161、3D Local Features for Direct Pairwise Registration
作者：Haowen Deng, Tolga Birdal, Slobodan Ilic
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.04290

163、End-to-end Projector Photometric Compensation
作者：Bingyao Huang, Haibin Ling
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.04441
代碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.04536
源碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.04661

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

169、Label Propagation for Deep Semi-supervised Learning
作者：Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.04144
代碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.06587

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

175、Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
論文鏈接：https://arxiv.org/abs/1904.06627
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.06830

177、Self-critical n-step Training for Image Captioning（圖像生成）
作者：Junlong Gao, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.05065

180、Actor-Critic Instance Segmentation
作者：Kwang In Kim, Hyung Jin Chang
論文鏈接：https://arxiv.org/abs/1904.05126

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

182、Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
作者：Junhwa Hur, Stefan Roth
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.05408
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.06017

192、Unifying Heterogeneous Classifiers with Distillation
作者：Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.05866

197、A Simple Baseline for Audio-Visual Scene-Aware Dialog
作者：Idan Schwartz, Alexander Schwing, Tamir Hazan
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.05879

199、Factor Graph Attention
作者：Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing
論文鏈接：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
論文鏈接：http://cs.nju.edu.cn/rl/people/liwb/CVPR19.pdf
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.01784
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.02122
源碼鏈接：https://github.com/cherubicXN/afm_cvpr2019

203、Live Reconstruction of Large-Scale Dynamic Outdoor Worlds
作者：Ondrej Miksik, Vibhav Vineet
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.07457
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.07235

207、Semantically Aligned Bias Reducing Zero Shot Learning
作者：Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
論文鏈接：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
論文鏈接：http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html
源碼鏈接：https://github.com/jiaxiaojunQAQ/Comdefend
論文解讀：CVPR 2019 | 圖像壓縮重建也能抵禦對抗樣本，這是一種新的防守策略

209、REPAIR: Removing Representation Bias by Dataset Resampling
作者：Yi Li, Nuno Vasconcelos
論文鏈接：https://arxiv.org/abs/1904.07911
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.07934
項目鏈接：https://nv-tlabs.github.io/STEAL/

211、Multi-Scale Geometric Consistency Guided Multi-View Stereo
作者：Qingshan Xu, Wenbing Tao
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://contactdb.cc.gatech.edu/contactdb_paper.pdf
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.08482

218、Few-Shot Learning with Localization in Realistic Settings
作者：Davis Wertheimer, Bharath Hariharan
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.08607

220、DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
作者：Toby Perrett, Dima Damen
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.08720

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

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

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

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

226、Visualizing the decision-making process in deep neural decision forest
作者：Shichao Li, Kwang-Ting Cheng
論文鏈接：https://arxiv.org/abs/1904.09201
源碼鏈接：https://github.com/Nicholasli1995/VisualizingNDF

227、Data-Driven Neuron Allocation for Scale Aggregation Networks
作者：Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.09626

230、Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
作者： Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
論文鏈接：https://arxiv.org/abs/1904.09970
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.03379
項目鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.10293

236、Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation
作者：Fengda Zhu, Linchao Zhu, Yi Yang
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.10506v1
源碼鏈接：https://github.com/zhuhao-nju/hmd.git

238、Universal Domain Adaptation
作者：Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael . Jordan
論文鏈接：https://youkaichao.github.io/files/cvpr2019/1628.pdf
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.09709
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1904.09546
源碼鏈接：https://github.com/brjathu/deepcaps

241、Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
作者：Kshitij Dwivedi, Gemma Roig
論文鏈接：https://arxiv.org/abs/1904.11740
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1904.11251

246、Style Transfer by Relaxed Optimal Transport and Self-Similarity
作者：Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich
論文鏈接：https://arxiv.org/pdf/1904.12785.pdf
源碼鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1803.06978
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1905.01273

256、Dissecting Person Re-identification from the Viewpoint of Viewpoint
作者：Ting Zhao, Xiangqian Wu
論文鏈接：https://arxiv.org/abs/1812.02162
源碼鏈接：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
論文鏈接：https://arxiv.org/pdf/1812.02391.pdf
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1905.01102
源碼鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1905.01744
項目鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1905.03079

265、Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
作者：Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis
論文鏈接：https://arxiv.org/abs/1905.03244
項目鏈接：https://www.seas.upenn.edu/~nkolot/projects/cmr/

266、Learning Loss for Active Learning
作者：Donggeun Yoo, In So Kweon
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1905.04016

269、Domain-Aware Generalized Zero-Shot Learning
作者：Yuval Atzmon, Gal Chechik
論文鏈接：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
論文鏈接：http://www.bhchen.cn/paper/cvpr19.pdf
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1811.04857
源碼鏈接：https://github.com/stevehuanghe/GDAN

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

282、On Finding Gray Pixels
作者：Yanlin Qian, Joni-Kristian Kämäräinen, Jarno Nikkanen, Jiri Matas
論文鏈接：https://arxiv.org/abs/1901.03198
源碼鏈接：https://github.com/yanlinqian/Grayness-Index （matlab）

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

284、Polarimetric Camera Calibration Using an LCD Monitor
作者：Zhixiang Wang, Yinqiang Zheng, Yung-Yu Chuang
論文鏈接：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
論文鏈接：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
論文鏈接：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
論文鏈接：https://arxiv.org/pdf/1901.09993.pdf

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

289、Side Window Filtering(Oral)
作者：Hui Yin, Yuanhao Gong, Guoping Qiu
論文鏈接：https://arxiv.org/abs/1905.07177
源碼鏈接：https://github.com/YuanhaoGong/SideWindowFilter

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

291、Disentangling Adversarial Robustness and Generalization
作者：David Stutz, Matthias Hein, Bernt Schiele
論文鏈接：https://arxiv.org/abs/1812.00740

292、Kernel Transformer Networks for Compact Spherical Convolution(Facebook)
作者：Yu-Chuan Su, Kristen Grauman
論文鏈接：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
論文鏈接：https://arxiv.org/abs/1812.01601
項目鏈接：https://akanazawa.github.io/human_dynamics/
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1905.09265
源碼鏈接：https://github.com/lelimite4444/BridgeDepthFlow

295、Multi-Level Context Ultra-Aggregation for Stereo Matching（南開大學）
作者：Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang
論文鏈接：http://dpfan.net/wp-content/uploads/09CVPR_StereoMatching_CameraReady_V12_final.pdf
項目鏈接：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
論文鏈接：https://arxiv.org/abs/1901.05103
源碼鏈接：https://github.com/Oktosha/DeepSDF-explained

297、Learning Implicit Fields for Generative Shape Modeling
作者：Zhiqin Chen, Hao Zhang
論文鏈接：https://arxiv.org/abs/1812.02822
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.00332
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.01584
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1905.09773
項目鏈接：https://speech2face.github.io/

301、Detecting Overfitting of Deep Generators via Latent Recovery

作者：Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie
論文鏈接：https://arxiv.org/pdf/1901.03396v1.pdf
源碼鏈接：https://github.com/ryanwebster90/gen-overfitting-latent-recovery

302、Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes

用於靜止或動態場景的無監督深度極線流

作者：Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li
論文鏈接：https://arxiv.org/pdf/1904.03848v1.pdf
源碼鏈接：https://github.com/yiranzhong/EPIflow

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

Isospectization，或如何聽取形狀，風格和通信

作者：Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
論文鏈接：https://arxiv.org/abs/1811.11465v2
源碼鏈接：https://github.com/lcosmo/isospectralization

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

從認知到認知：視覺常識推理

作者：Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi
論文鏈接：https://arxiv.org/pdf/1811.10830v2.pdf
源碼鏈接：https://github.com/rowanz/r2c

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

Unsupervised Visual Domain Adaptation：深度最大邊緣高斯過程方法

作者：Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
論文鏈接：https://arxiv.org/pdf/1902.08727.pdf
源碼鏈接：https://github.com/seqam-lab/GPDA

306、Deformable ConvNets v2: More Deformable, Better Results

Deformable ConvNets v2：更加可變形，更好的結果

作者：Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai
論文鏈接：https://arxiv.org/pdf/1811.11168v2.pdf
源碼鏈接：https://github.com/msracver/Deformable-ConvNets
294、Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
作者：Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu
論文鏈接：https://arxiv.org/abs/1905.09265
源碼鏈接：https://github.com/lelimite4444/BridgeDepthFlow

295、Multi-Level Context Ultra-Aggregation for Stereo Matching（南開大學）
作者：Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang
論文鏈接：http://dpfan.net/wp-content/uploads/09CVPR_StereoMatching_CameraReady_V12_final.pdf
項目鏈接：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
論文鏈接：https://arxiv.org/abs/1901.05103
源碼鏈接：https://github.com/Oktosha/DeepSDF-explained

297、Learning Implicit Fields for Generative Shape Modeling
作者：Zhiqin Chen, Hao Zhang
論文鏈接：https://arxiv.org/abs/1812.02822
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.00332
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1812.01584
源碼鏈接：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
論文鏈接：https://arxiv.org/abs/1905.09773
項目鏈接：https://speech2face.github.io/

301、Detecting Overfitting of Deep Generators via Latent Recovery

用於靜止或動態場景的無監督深度極線流

Isospectization，或如何聽取形狀，風格和通信

從認知到認知：視覺常識推理

Unsupervised Visual Domain Adaptation：深度最大邊緣高斯過程方法

Deformable ConvNets v2：更加可變形，更好的結果

作者：Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai
論文鏈接：https://arxiv.org/pdf/1811.11168v2.pdf
源碼鏈接：https://github.com/msracver/Deformable-ConvNets

CVPR2019 | 論文分類彙總（190611 更新）

檢測

分割

分類、識別

跟蹤

人臉

人體姿態估計/手勢姿態估計、位姿估計

行爲/動作識別、手勢識別

時序動作檢測及視頻相關

Related to Networks

GAN、圖像文本生成

圖像/視頻處理、超分辨

點雲、三維重建

VQA、視覺語言導航

OCR、文本檢測

自動駕駛

人羣計數

數據集、Benchmark

行人重識別、行人檢測

其他

【簡寫Mybatis-02】註冊機的實現以及SqlSession處理

手繪二維碼

.NET藉助虛擬網卡實現一個簡單異地組網工具

CVPR2019 | 論文分類彙總（190611 更新）

2000 ~2019 年曆屆 CVPR 最佳論文彙總

重磅！2K圖像90FPS，中科院開源輕量級通用人臉檢測器

國內外優秀的計算機視覺團隊彙總

1077篇！ICCV2019接收結果公佈，你中了嗎？（附7篇論文鏈接，含Oral）

Mac下配置sublime實現LaTeX

https://yachay.unat.edu.pe/blog/index.php?comment_area=format_blog&comment_component=blog&comment_co

linux以太網驅動總結