Multi-person Action Recognition
Multi-Person Action Recognition is an action recognition task that involves identifying and distinguishing the actions of multiple individuals in a shared scene, differentiating itself from single-person approaches by explicitly addressing interactions, occlusions, and spatial-temporal relationships among actors.
60
Publications
4.9K
Citations
223
Authors
90
Institutions
Publications per year
2017–2026
36
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Beijing Institute of Technology
Beijing, China
4 h-index
14 publications
241 citations
National University of Singapore
Singapore, Singapore
3 h-index
7 publications
133 citations
The University of Tokyo
Tokyo, Japan
3 h-index
4 publications
310 citations
Queen Mary University of London
London, United Kingdom
3 h-index
6 publications
208 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
1.5K citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
256 citations

Sun Yat-sen University
Guangzhou, China
2 h-index
4 publications
157 citations
Stanford University
Stanford, United States
2 h-index
3 publications
684 citations
1–8 of 90
Repository · 7 publications · 132 citations
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TPAMI · 3 publications · 204 citations
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Conference · 2 publications · 822 citations
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1 publications · 134 citations
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ITETBT · 1 publications · 20 citations
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1–5