Weakly Supervised Action Recognition

Weakly Supervised Action Recognition is a subfield of video action recognition that leverages incomplete, imprecise, or noisy supervision—such as video-level labels without precise temporal boundaries—during model training, distinguishing it from fully supervised approaches that require frame-level annotations.

221

Publications

13.3K

Citations

680

Authors

271

Institutions

Publications per year

2017–2026

180

Authors

680

  1. IL
    Ivan Laptev

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

    7 publications · 1K citations

    7

    h-index

  2. CL
    Changsheng Li

    Chinese Academy of Sciences, China

    7 publications · 237 citations

    7

    h-index

  3. HS
    Haichao Shi

    Chinese Academy of Sciences, China

    7 publications · 237 citations

    7

    h-index

  4. NZ
    Nanning Zheng

    Xi'an Jiaotong University, China

    6 publications · 285 citations

    6

    h-index

  5. XZ
    Xiaoyu Zhang

    Chinese Academy of Sciences, China

    6 publications · 199 citations

    6

    h-index

1–5 of 680

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 579 citations

    14

    h-index

  2. IEEE Transactions on Image Processing

    13 publications · 378 citations

    13

    h-index

  3. Pattern Recognition

    11 publications · 407 citations

    11

    h-index

  4. 10

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 9 publications · 477 citations

    9

    h-index

1–5