Video Action Recognition

Video Action Recognition is a methodological framework within computer vision that identifies and classifies human actions in video sequences by analyzing spatiotemporal patterns of motion and appearance.

1.4K

Publications

144.8K

Citations

4K

Authors

1K

Institutions

Publications per year

2017–2026

923

Authors

4K

  1. LW
    Limin Wang

    Nanjing University, China

    39 publications · 6.6K citations

    28

    h-index

  2. MS
    Mubarak Shah

    University of Central Florida, United States

    24 publications · 10.5K citations

    21

    h-index

  3. YQ
    Yu Qiao

    Shenzhen Institutes of Advanced Technology, China

    21 publications · 4.1K citations

    19

    h-index

  4. AZ
    Andrew Zisserman

    University of Oxford, United Kingdom

    20 publications · 15.1K citations

    15

    h-index

  5. CS
    Cordelia Schmid

    Institut national de recherche en sciences et technologies du numérique, France

    17 publications · 9.3K citations

    15

    h-index

1–5 of 4K

Venues

  1. arXiv (Cornell University)

    Repository · 161 publications · 22.8K citations

    52

    h-index

  2. 27

    h-index

  3. 24

    h-index

  4. IEEE Transactions on Multimedia

    34 publications · 2K citations

    23

    h-index

  5. Multimedia Tools and Applications

    32 publications · 1.1K citations

    23

    h-index

1–5