Human Pose Estimation
Human Pose Estimation is a computational method in computer vision that determines the spatial configuration of human body joints and limbs in an image or video sequence by localizing anatomical key points to infer the underlying pose structure.
3.4K
Publications
313.3K
Citations
8.8K
Authors
1.8K
Institutions
Publications per year
2017–2026
2.1K
3.4K
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
1–5 of 3.4K
8.8K
Max Planck Institute for Intelligent Systems, Germany
54 publications · 11.7K citations
41
h-index
31
h-index
23
h-index
23
h-index
22
h-index
1–5 of 8.8K
1.8K
Max Planck Institute for Intelligent Systems
Stuttgart, Germany
43 h-index
158 publications
26.1K citations
Max Planck Institute for Informatics
Saarbrücken, Germany
43 h-index
231 publications
58.8K citations
Carnegie Mellon University
Pittsburgh, United States
42 h-index
177 publications
65.6K citations
Tsinghua University
Beijing, China
42 h-index
234 publications
18.6K citations
ETH Zurich
Zurich, Switzerland
34 h-index
111 publications
11.2K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
33 h-index
112 publications
74.3K citations

Zhejiang University
Hangzhou, China
33 h-index
139 publications
13.4K citations
Microsoft Research Asia (China)
Beijing, China
33 h-index
79 publications
27.8K citations
1–8 of 1.8K
Repository · 307 publications · 16.1K citations
58
h-index
TPAMI · 96 publications · 29.8K citations
55
h-index
46 publications · 4.7K citations
31
h-index
Conference · 36 publications · 3.7K citations
31
h-index
Conference · 39 publications · 3.8K citations
29
h-index
1–5