Egocentric Pose Estimation

Egocentric Pose Estimation is a form of human pose estimation that specifically involves inferring the body pose of an individual from a first-person perspective captured by wearable cameras, thereby distinguishing it from third-person pose estimation methods that rely on external viewpoints.

95

Publications

5K

Citations

333

Authors

118

Institutions

Publications per year

2017–2026

52

Authors

333

  1. CT
    Christian Theobalt

    Max Planck Institute for Informatics, Germany

    7 publications · 762 citations

    7

    h-index

  2. TK
    Tae‐Kyun Kim

    Imperial College London, United Kingdom

    4 publications · 391 citations

    4

    h-index

  3. KK
    Kris Kitani

    Carnegie Mellon University, United States

    4 publications · 187 citations

    4

    h-index

  4. WX
    Weipeng Xu

    Max Planck Institute for Informatics, Germany

    4 publications · 247 citations

    4

    h-index

  5. HR
    Helge Rhodin

    University of British Columbia, Canada

    3 publications · 312 citations

    3

    h-index

1–5 of 333

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 182 citations

    7

    h-index

  2. Pattern Recognition

    5 publications · 183 citations

    5

    h-index

  3. Computer Vision and Image Understanding

    CVIU · 5 publications · 120 citations

    5

    h-index

  4. Experimental Brain Research

    2 publications · 128 citations

    2

    h-index

  5. Machine Vision and Applications

    2 publications · 317 citations

    2

    h-index

1–5