Pose Keypoint Detection

Pose Keypoint Detection is a computer vision task that identifies specific anatomical landmarks on a human body in an image or video, distinguishing itself from other feature detection methods by focusing on the spatial configuration of body joints to estimate articulated human posture.

57

Publications

2.4K

Citations

246

Authors

99

Institutions

Publications per year

2017–2026

49

Authors

246

  1. WL
    Weiyao Lin

    Shanghai Jiao Tong University, China

    2 publications · 116 citations

    2

    h-index

  2. JM
    Jitendra Malik

    University of California, Berkeley, United States

    2 publications · 196 citations

    2

    h-index

  3. HT
    Hanlin Tang

    Intel (United States), United States

    2 publications · 116 citations

    2

    h-index

  4. JZ
    Junxiong Zhang

    China Agricultural University, China

    2 publications · 74 citations

    2

    h-index

  5. FZ
    Fan Zhang

    China Agricultural University, China

    2 publications · 74 citations

    2

    h-index

1–5 of 246

Venues

  1. IEEE Access

    4 publications · 144 citations

    4

    h-index

  2. Sensors

    3 publications · 92 citations

    3

    h-index

  3. Multimedia Tools and Applications

    3 publications · 75 citations

    3

    h-index

  4. Computers and Electronics in Agriculture

    3 publications · 122 citations

    3

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 65 citations

    3

    h-index

1–5