Multi-person Pose Estimation

Multi-Person Pose Estimation is a computer vision task that involves detecting and localizing the articulated body poses of multiple individuals in a single image or video frame, distinguishing it from single-person variants by addressing the challenges of occlusions, scale variations, and inter-person ambiguities.

248

Publications

36K

Citations

756

Authors

227

Institutions

Publications per year

2017–2026

213

Authors

756

  1. BS
    Bernt Schiele

    Max Planck Institute for Informatics, Germany

    10 publications · 2.6K citations

    10

    h-index

  2. MA
    Mykhaylo Andriluka

    Max Planck Institute for Informatics, Germany

    9 publications · 2.5K citations

    9

    h-index

  3. LP
    Leonid Pishchulin

    Max Planck Institute for Informatics, Germany

    8 publications · 1.8K citations

    8

    h-index

  4. CL
    Cewu Lu

    Shanghai Jiao Tong University, China

    7 publications · 3.3K citations

    7

    h-index

  5. BA
    Bjoern Andres

    Max Planck Institute for Informatics, Germany

    7 publications · 2.1K citations

    7

    h-index

1–5 of 756

Venues

  1. arXiv (Cornell University)

    Repository · 38 publications · 2.7K citations

    24

    h-index

  2. 13

    h-index

  3. 8

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 265 citations

    7

    h-index

  5. Computer Vision and Image Understanding

    CVIU · 5 publications · 77 citations

    7

    h-index

1–5