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Multi-person articulated pose tracking in unconstrained videos is an important while challenging problem.
Action recognition with improved trajectories
Heng Wang and Cordelia Schmid · 2013
Earlier work this paper cites.
2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
P-cnn: Pose-based cnn features for action recognition
Guilhem Chéron, Ivan Laptev, and Cordelia Schmid · 2015
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Earlier work this paper cites.
Action recognition with trajectory-pooled deep-convolutional descriptors
Limin Wang, Yu Qiao, and Xiaoou Tang · 2015
Earlier work this paper cites.
Human pose estimation in videos
Dong Zhang and Mubarak Shah · 2015
Earlier work this paper cites.
Deepercut: A deeper, stronger, and faster multi-person pose estimation model
Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele · 2016
Earlier work this paper cites.
Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
Cited alongside, same era.
Deepmatching: Hierarchical deformable dense matching
Jerome Revaud, Philippe Weinzaepfel, Zaid Harchaoui, and Cordelia Schmid · 2016
Cited alongside, same era.
On the stability of video detection and tracking
Hong Zhang and Naiyan Wang · 2016
Cited alongside, same era.
Posetrack: A benchmark for human pose estimation and tracking
Mykhaylo Andriluka, Umar Iqbal, Anton Milan, Eldar Insafutdinov, Leonid Pishchulin, Juergen Gall, and Bernt Schiele · 2017
Cited alongside, same era.
Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
Cited alongside, same era.
Detect-and-track: Efficient pose estimation in videos
Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, and Du Tran · 2017
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Detecting and recognizing human-object interactions
Georgia Gkioxari, Ross Girshick, Piotr Dollár, and Kaiming He · 2017
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Arttrack: Articulated multi-person tracking in the wild
Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, and Bernt Schiele · 2017
Later among the works it cites.
Posetrack: Joint multi-person pose estimation and tracking
Umar Iqbal, Anton Milan, and Juergen Gall · 2017
Later among the works it cites.
Thin-slicing network: A deep structured model for pose estimation in videos
Jie Song, Limin Wang, Luc Van Gool, and Otmar Hilliges · 2017
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Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2017
Cited alongside, same era.
Multi-context attention for human pose estimation
Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L Yuille, and Xiaogang Wang · 2017
Cited alongside, same era.
RMPE: Regional multi-person pose estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu · 2017
Cited alongside, same era.
Pose-driven deep convolutional model for person re-identification
Chi Su, Jianing Li, Shiliang Zhang, Junliang Xing, Wen Gao, and Qi Tian · 2017
Later among the works it cites.
Learning feature pyramids for human pose estimation
Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, and Xiaogang Wang · 2017
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Pose invariant embedding for deep person re-identification
Liang Zheng, Yujia Huang, Huchuan Lu, and Yi Yang · 2017
Later among the works it cites.