2D Pose Estimation

2D Pose Estimation is a computer vision task that involves determining the spatial configuration of a subject's body joints or keypoints in two-dimensional image coordinates, distinguishing itself from 3D pose estimation by omitting depth information and operating solely within the image plane.

364

Publications

42.7K

Citations

1.1K

Authors

386

Institutions

Publications per year

2017–2026

257

Authors

1.1K

  1. TS
    Tomas Simon

    Meta (Israel), Israel

    6 publications · 13.2K citations

    6

    h-index

  2. YS
    Yaser Sheikh

    Carnegie Mellon University, United States

    6 publications · 13.2K citations

    6

    h-index

  3. PF
    Pascal Fua

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 536 citations

    6

    h-index

  4. FM
    Francesc Moreno-Noguer

    Institut de Robòtica i Informàtica Industrial, Spain

    6 publications · 744 citations

    6

    h-index

  5. KM
    Kyoung Mu Lee

    Seoul National University, South Korea

    4 publications · 465 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 43 publications · 2.4K citations

    21

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 18 publications · 6.3K citations

    18

    h-index

  3. Sensors

    6 publications · 135 citations

    7

    h-index

  4. 6

    h-index

  5. International Journal of Computer Vision

    5 publications · 459 citations

    5

    h-index

1–5