Articulated Pose Estimation
Articulated Pose Estimation is a computational method in computer vision that models the spatial configuration of interconnected body parts to estimate the three-dimensional pose of articulated objects, such as human bodies, by distinguishing kinematic constraints and joint flexibility from rigid pose estimation approaches.
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747
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2017–2026
639
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Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
Zhe Cao, Tomas Simon, Shih-En Wei et al. · 2017 · 7.3K citations
Deep High-Resolution Representation Learning for Human Pose Estimation
DeepPose: Human Pose Estimation via Deep Neural Networks
Alexander Toshev, Christian Szegedy · 2014 · 3.3K citations · Full text
Shih-En Wei, Varun Ramakrishna, Takeo Kanade et al. · 2016 · 2.8K citations
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Max Planck Institute for Intelligent Systems, Germany
21 publications · 3.9K citations
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Max Planck Institute for Informatics
Saarbrücken, Germany
29 h-index
144 publications
31.5K citations
Tsinghua University
Beijing, China
26 h-index
65 publications
5.6K citations
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
24 h-index
68 publications
7.7K citations
ETH Zurich
Zurich, Switzerland
21 h-index
51 publications
4.3K citations

Peking University
Beijing, China
20 h-index
67 publications
6.3K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
18 h-index
53 publications
18.1K citations
Carnegie Mellon University
Pittsburgh, United States
18 h-index
49 publications
43.6K citations
Technical University of Munich
Munich, Germany
17 h-index
50 publications
4.9K citations
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Repository · 109 publications · 6.5K citations
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29 publications · 3.4K citations
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TPAMI · 31 publications · 3.8K citations
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36 publications · 1.4K citations
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Conference · 16 publications · 2K citations
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