Hand-object Interaction Recognition

Hand-Object Interaction Recognition is a computational vision task that identifies and classifies the specific interactions between human hands and objects in visual data, distinguished by its focus on the spatial, temporal, and semantic relationships underlying manipulative actions.

32

Publications

2.1K

Citations

120

Authors

52

Institutions

Publications per year

2017–2026

23

Authors

120

  1. JZ
    José Zariffa

    University of Toronto, Canada

    5 publications · 130 citations

    5

    h-index

  2. KK
    Kris Kitani

    Carnegie Mellon University, United States

    3 publications · 91 citations

    3

    h-index

  3. TK
    Tae‐Kyun Kim

    Imperial College London, United Kingdom

    3 publications · 625 citations

    3

    h-index

  4. SB
    Seungryul Baek

    Ulsan National Institute of Science and Technology, South Korea

    3 publications · 625 citations

    3

    h-index

  5. MD
    Mehdy Dousty

    Toronto Rehabilitation Institute, Canada

    2 publications · 29 citations

    2

    h-index

1–5 of 120

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 35 citations

    2

    h-index

  2. 2

    h-index

  3. IEEE Transactions on Cybernetics

    1 publications · 23 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5