Cross-view Action Recognition

Cross-View Action Recognition is a specialized paradigm within action recognition that addresses the challenge of identifying human actions across varying camera viewpoints by learning viewpoint-invariant representations.

154

Publications

14K

Citations

493

Authors

203

Institutions

Publications per year

2017–2026

76

Authors

493

  1. YY
    Yang Yang

    University of Electronic Science and Technology of China, China

    4 publications · 151 citations

    4

    h-index

  2. HT
    Heng Tao Shen

    University of Electronic Science and Technology of China, China

    4 publications · 151 citations

    4

    h-index

  3. YW
    Yongkang Wong

    National University of Singapore, Singapore

    4 publications · 254 citations

    4

    h-index

  4. AL
    An-An Liu

    Tianjin University, China

    4 publications · 183 citations

    4

    h-index

  5. YJ
    Yanli Ji

    University of Electronic Science and Technology of China, China

    4 publications · 151 citations

    4

    h-index

1–5 of 493

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 725 citations

    10

    h-index

  2. IEEE Transactions on Image Processing

    8 publications · 591 citations

    8

    h-index

  3. Neurocomputing

    7 publications · 263 citations

    7

    h-index

  4. 7

    h-index

  5. Pattern Recognition Letters

    5 publications · 206 citations

    5

    h-index

1–5