Fine-grained Action Recognition

Fine-Grained Action Recognition is a specialized subtask within action recognition that discriminates between visually similar actions at a detailed level, typically involving subtle distinctions in motion, object interaction, or temporal sequencing.

161

Publications

9.9K

Citations

632

Authors

248

Institutions

Publications per year

2017–2026

128

Authors

632

  1. MW
    Meng Wang

    Hefei University of Technology, China

    4 publications · 207 citations

    4

    h-index

  2. ED
    Errui Ding

    Baidu (China), China

    4 publications · 258 citations

    4

    h-index

  3. MD
    Mianxiong Dong

    Muroran Institute of Technology, Japan

    3 publications · 141 citations

    3

    h-index

  4. XY
    Xiaokang Yang

    Shanghai Jiao Tong University, China

    3 publications · 155 citations

    3

    h-index

  5. QT
    Qi Tian

    The University of Texas at San Antonio, United States

    3 publications · 173 citations

    3

    h-index

1–5 of 632

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 922 citations

    11

    h-index

  2. 7

    h-index

  3. 6

    h-index

  4. Neurocomputing

    5 publications · 148 citations

    5

    h-index

  5. Pattern Recognition

    5 publications · 354 citations

    5

    h-index

1–5