Multi-person Pose Estimation
Multi-Person Pose Estimation is a computer vision task that involves detecting and localizing the articulated body poses of multiple individuals in a single image or video frame, distinguishing it from single-person variants by addressing the challenges of occlusions, scale variations, and inter-person ambiguities.
248
Publications
36K
Citations
756
Authors
227
Institutions
Publications per year
2017–2026
213
Parents
248
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
Zhe Cao, Tomas Simon, Shih-En Wei et al. · 2017 · 7.3K citations
RMPE: Regional Multi-person Pose Estimation
Hao-Shu Fang, Shuqin Xie, Yu‐Wing Tai et al. · 2017 · 1.9K citations
Cascaded Pyramid Network for Multi-person Pose Estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng et al. · 2018 · 1.8K citations
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang et al. · 2016 · 1.1K citations
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227
Tsinghua University
Beijing, China
15 h-index
39 publications
5.2K citations
Max Planck Institute for Informatics
Saarbrücken, Germany
14 h-index
65 publications
13.5K citations
National University of Singapore
Singapore, Singapore
11 h-index
23 publications
1.9K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
22 publications
40.5K citations

Zhejiang University
Hangzhou, China
9 h-index
21 publications
2.4K citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
8 h-index
14 publications
2.8K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
14 publications
951 citations

Southeast University
Nanjing, China
5 h-index
10 publications
527 citations
1–8 of 227
Repository · 38 publications · 2.7K citations
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TPAMI · 13 publications · 7K citations
13
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Conference · 8 publications · 718 citations
8
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Conference · 7 publications · 265 citations
7
h-index
CVIU · 5 publications · 77 citations
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