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

Authors

223

  1. HD
    Haodong Duan

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 814 citations

    3

    h-index

  2. DK
    Dina Katabi

    Massachusetts Institute of Technology, United States

    2 publications · 144 citations

    2

    h-index

  3. YL
    Yingcheng Liu

    Xinjiang University, China

    2 publications · 144 citations

    2

    h-index

  4. DL
    Dahua Lin

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 781 citations

    2

    h-index

  5. JS
    Jamie Sherrah

    Queen Mary University of London, United Kingdom

    2 publications · 37 citations

    2

    h-index

1–5 of 223

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 132 citations

    7

    h-index

  2. 3

    h-index

  3. 2

    h-index

  4. Applied Intelligence

    1 publications · 134 citations

    1

    h-index

  5. IEEE Transactions on Emerging Topics in Computing

    ITETBT · 1 publications · 20 citations

    1

    h-index

1–5