Human Pose Estimation

Human Pose Estimation is a computational method in computer vision that determines the spatial configuration of human body joints and limbs in an image or video sequence by localizing anatomical key points to infer the underlying pose structure.

3.4K

Publications

313.3K

Citations

8.8K

Authors

1.8K

Institutions

Publications per year

2017–2026

2.1K

Authors

8.8K

  1. MJ
    Michael J. Black

    Max Planck Institute for Intelligent Systems, Germany

    54 publications · 11.7K citations

    41

    h-index

  2. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    37 publications · 6.7K citations

    31

    h-index

  3. WO
    Wanli Ouyang

    The University of Sydney, Australia

    25 publications · 4.3K citations

    23

    h-index

  4. PF
    Pascal Fua

    École Polytechnique Fédérale de Lausanne, Switzerland

    36 publications · 3.5K citations

    23

    h-index

  5. BS
    Bernt Schiele

    Max Planck Institute for Informatics, Germany

    25 publications · 8.3K citations

    22

    h-index

1–5 of 8.8K

Venues

  1. arXiv (Cornell University)

    Repository · 307 publications · 16.1K citations

    58

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 96 publications · 29.8K citations

    55

    h-index

  3. International Journal of Computer Vision

    46 publications · 4.7K citations

    31

    h-index

  4. 31

    h-index

  5. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 39 publications · 3.8K citations

    29

    h-index

1–5