Cross-view Gesture Recognition
Cross-View Gesture Recognition is a gesture recognition paradigm that addresses the challenge of recognizing the same gestures across varying viewpoints, typically by modeling viewpoint-invariant features to enable robust performance despite significant differences in camera angles or sensor perspectives.
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Publications
185
Citations
19
Authors
5
Institutions
Publications per year
2017–2026
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Gesture recognition based on binocular vision
Du Jiang, Zujia Zheng, Gongfa Li et al. · Cluster Computing · 2018 · 142 citations
Real-time Multi-view Bimanual Gesture Recognition
Geoffrey Poon, Kin Chung Kwan, Wai‐Man Pang · 2018 · 10 citations
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1–5 of 19
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Saint Francis University
Hong Kong, Hong Kong
2 h-index
6 publications
93 citations

Nara Institute of Science and Technology
Ikoma, Japan
1 h-index
3 publications
36 citations
University of Portsmouth
Portsmouth, United Kingdom
1 h-index
3 publications
426 citations
Wuhan University of Science and Technology
Wuhan, China
1 h-index
9 publications
1.3K citations
The University of Osaka
Osaka, Japan
1 h-index
1 publications
12 citations

Indian Institute of Technology Roorkee
Roorkee, India
1 publications
15 citations
1–6 of 5
1 publications · 142 citations
1
h-index
1 publications · 12 citations
1
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1 publications · 21 citations
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Conference · 1 publications · 15 citations
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