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2018年CVPR大會論文
1.【Object tracking】GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB

Franziska Mueller, MPI Informatics:

Florian Bernard, MPI Informatics:

Oleksandr Sotnychenko, MPI Informatics:

Dushyant Mehta, MPI For Informatics:

Srinath Sridhar,:

Dan Casas, MPI:

Christian Theobalt, MPI Informatics:

【Object tracking】Detect-and-Track: Efficient Pose Estimation in Videos

Rohit Girdhar, CMU:

Georgia Gkioxari, Facebook:

Lorenzo Torresani, Darthmout College, USA:

Manohar Paluri,:

Du Tran, Dartmouth College:

【Object tracking】Context-aware Deep Feature Compression for High-speed Visual Tracking
Jongwon Choi,:
Hyung Jin Chang, Imperial College London:
Tobias Fischer, Imperial College London:
Sangdoo Yun, Seoul National University:
Jiyeoup Jeong, Seoul National University:
kyuewang Lee, Seoul National University:
Yiannis Demiris,:
Jin Choi,:
論文閱讀：

https://www.cnblogs.com/mangoyuan/p/8858198.html
基於內容感知深度特徵壓縮的高速視覺跟蹤

【Object tracking】Correlation Tracking via Joint Discrimination and Reliability Learning

Chong Sun, Dalian Universityof Technology:

Dong Wang, DUT:

【Object tracking】Hyperparameter Optimization for Tracking with Continuous Deep Q-Learning

Xingping Dong, Beijing Institute of Technology:

Wenguan Wang, Beijing Institute of Technology:

Yu Liu, Beijing Institute of Technology:

【Object tracking】A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos

CHUNG-CHING LIN, IBM Research:

Ying Hung, Rutgers University:

【Object tracking】End-to-end Flow Correlation Tracking with Spatial-temporal Attention

Zheng Zhu, Institute of Automation, CAS:

Wei Wu,:

Wei Zou,:

Junjie Yan,:

【Object tracking】A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects

Yuanlu Xu, University of California, Los Angeles:

Lei Qin, Institute of Computing Technology, Chinese Academy of Sciences:

Xiaobai Liu, San Diego State University:

【Object tracking】Towards dense object tracking in a 2D honeybee hive

Katarzyna Bozek, Okinawa Institute of Science a:

Laetitia Hebert,:

Alexander Mikheyev,:

Greg Stephens, OIST Graduate University and Vrije Universiteit Amsterdam:

【Object tracking】Efficient Diverse Ensemble for Discriminative Co-Tracking

Kourosh Meshgi, Kyoto University:

Shigeyuki Oba, Kyoto University:

Shin Ishii, Kyoto University:

【Object tracking】Rolling Shutter and Radial Distortion are Features for High Frame Rate Multi-camera Tracking

Akash Bapat, UNC Chapel Hill:

Jan-Michael Frahm, UNC Chapel Hill:

True Price, UNC Chapel Hill:

【Object tracking】A Twofold Siamese Network for Real-Time Object Tracking

Anfeng He, USTC:

Chong Luo, Microsoft Research Asia:

Xinmei Tian, USTC:

Wenjun Zeng,:

【Object tracking】Multi-Cue Correlation Filters for Robust Visual Tracking

Ning Wang, USTC:

Wengang Zhou, USTC:

Richang Hong,:

Meng Wang, He Fei University of Technology:

Houqiang Li,:

【Object tracking】Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

Qiang Wang, CASIA:

Zhu Teng, Beijing Jiaotong University:

Junliang Xing, Institute of Automation, Chinese Academy of Sciences:

Jin Gao, Institute of Automation, Chinese Academy of Sciences:

Weiming Hu,:

【Object tracking】SINT++: Robust Visual Tracking via Adversarial Hard Positive Generation

Xiao Wang, Anhui university:

Chenglong Li, Anhui University:

Bin Luo,:

Jin Tang,:

【Object tracking】High-speed Tracking with Multi-kernel Correlation Filters

Ming Tang, NLPR, IA, CAS:

Bin Yu, NLPR, IA, CAS:

Fan Zhang, BUPT:

Jinqiao Wang,:

【Object tracking】Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking

Feng Li, Harbin Institute of Technology:

Cheng Tian, Harbin Institute of Technology:

Wangmeng Zuo, Harbin Institute of Technology:

【Object tracking】A Benchmark for Articulated Human Pose Estimation and Tracking

Mykhaylo Andriluka, MPI Informatics:

Umar Iqbal,:

Eldar Insafutdinov, MPI Informatics:

Anton Milan, University of Adelaide:

Leonid Pishchulin, MPI Informatik:

【Object tracking】Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes

Weihong Ren, City University of Hong Kong:

Di Kang,:

Yandong Tang, Shenyang Institute of Automation, Chinese Academy of Sciences:

Antoni Chan, City University of Hong Kong, Hong Kong:

【Object tracking】Tracking Multiple Objects Outside the Line of Sight using Speckle Imaging

Brandon Smith, University of Wisconsin-Madiso:

Matthew O’Toole, Stanford University:

Mohit Gupta, Wisconsin:

【Object tracking】Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies

Hanbyul Joo, CMU:

Tomas Simon, Oculus Research:

【Object tracking】Learning Spatial-Aware Regressions for Visual Tracking

Chong Sun, Dalian Universityof Technology:

Dong Wang, DUT:

【Object tracking】High Performance Visual Tracking with Siamese Region Proposal Network

Bo Li, Sense Time:

Wei Wu,:

Zheng Zhu, Institute of Automation, CAS:

Junjie Yan,:

【Object tracking】VITAL: VIsual Tracking via Adversarial Learning

Yibing Song, Tencent AI Lab:

Chao Ma,:

Xiaohe Wu, Harbin Institute of technology:

Lijun Gong, City University of Hong Kong:

Linchao Bao, Tencent AI Lab:

Wangmeng Zuo, Harbin Institute of Technology:

Chunhua Shen, University of Adelaide:

Rynson Lau, City University of Hong Kong:

2016：