Pose Keypoint Detection
Pose Keypoint Detection is a computer vision task that identifies specific anatomical landmarks on a human body in an image or video, distinguishing itself from other feature detection methods by focusing on the spatial configuration of body joints to estimate articulated human posture.
57
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2.4K
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246
Authors
99
Institutions
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2017–2026
49
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Pose Recognition with Cascade Transformers
Ke Li, Shijie Wang, Xiang Zhang et al. · 2021 · 281 citations
Using k-Poselets for Detecting People and Localizing Their Keypoints
Georgia Gkioxari, Bharath Hariharan, Ross Girshick et al. · 2014 · 177 citations
Pose pooling kernels for sub-category recognition
Ning Zhang, Ryan Farrell, T. Darrell · 2012 · 135 citations
Detection of Anchor Points for 3D Face Veri.cation
Dirk Colbry, George Stockman, Anil Jain · 2006 · 115 citations
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99
Tsinghua University
Beijing, China
4 h-index
8 publications
714 citations
University of California, Berkeley
Berkeley, United States
3 h-index
10 publications
1.2K citations
China Agricultural University
Beijing, China
2 h-index
8 publications
344 citations
Ningbo University of Technology
Ningbo, China
1 h-index
2 publications
28 citations
R.V. College of Engineering
Bengaluru, India
1 h-index
1 publications
11 citations

International Computer Science Institute
Berkeley, United States
1 h-index
3 publications
405 citations
Northeastern University
Boston, United States
1 h-index
5 publications
185 citations
Blood Center of Zhejiang Province
Hangzhou, China
1 h-index
2 publications
96 citations
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4 publications · 144 citations
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3 publications · 92 citations
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3 publications · 75 citations
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3 publications · 122 citations
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Repository · 3 publications · 65 citations
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