Pose Estimation For Groups

Pose Estimation for Groups is a computational method that identifies and localizes the spatial configurations of multiple individuals' body parts within a shared scene, distinguishing itself from single-person pose estimation by explicitly modeling interpersonal spatial relationships and occlusions among group members.

14

Publications

446

Citations

49

Authors

25

Institutions

Publications per year

2017–2026

7

Authors

49

  1. OL
    Oswald Lanz

    Fondazione Bruno Kessler, Italy

    3 publications · 155 citations

    3

    h-index

  2. ER
    Elisa Ricci

    Fondazione Bruno Kessler, Italy

    3 publications · 155 citations

    3

    h-index

  3. GS
    Giuseppe Serra

    University of Modena and Reggio Emilia, Italy

    2 publications · 56 citations

    2

    h-index

  4. RC
    Rita Cucchiara

    University of Modena and Reggio Emilia, Italy

    2 publications · 56 citations

    2

    h-index

  5. RS
    Ramanathan Subramanian

    PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH, India

    2 publications · 85 citations

    2

    h-index

1–5 of 49

Venues

  1. International Journal of Computer Vision

    2 publications · 52 citations

    2

    h-index

  2. Machine Vision and Applications

    1 publications · 25 citations

    1

    h-index

  3. Cluster Computing

    1 publications · 18 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 19 citations

    1

    h-index

  5. Journal of Biomechanics

    1 publications · 42 citations

    1

    h-index

1–5