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
Parents
32
1–5 of 32
120
5
h-index
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Ulsan National Institute of Science and Technology, South Korea
3 publications · 625 citations
3
h-index
2
h-index
1–5 of 120
52

Toronto Rehabilitation Institute
Toronto, Canada
5 h-index
18 publications
562 citations

University of Toronto
Toronto, Canada
5 h-index
16 publications
494 citations
University Health Network
Toronto, Canada
4 h-index
11 publications
405 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
13 publications
392 citations

Imperial College London
London, United Kingdom
3 h-index
10 publications
2.3K citations
Tsinghua University
Beijing, China
3 h-index
6 publications
109 citations
University of California San Diego
San Diego, United States
2 h-index
4 publications
188 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
475 citations
1–8 of 52
Repository · 2 publications · 35 citations
2
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Conference · 2 publications · 82 citations
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1 publications · 23 citations
1
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Conference · 1 publications · 19 citations
1
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2 publications · 34 citations
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