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.

4

Publications

185

Citations

19

Authors

5

Institutions

Publications per year

2017–2026

3

Authors

19

  1. WP
    Wai‐Man Pang

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 31 citations

    2

    h-index

  2. GP
    Geoffrey Poon

    Saint Francis University, Hong Kong SAR China

    2 publications · 31 citations

    2

    h-index

  3. KC
    Kin Chung Kwan

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 31 citations

    2

    h-index

  4. JK
    Jianyi Kong

    Wuhan University of Science and Technology, China

    1 publications · 142 citations

    1

    h-index

  5. GL
    Gongfa Li

    Wuhan University of Science and Technology, China

    1 publications · 142 citations

    1

    h-index

1–5 of 19

Venues

  1. Cluster Computing

    1 publications · 142 citations

    1

    h-index

  2. EURASIP Journal on Image and Video Processing

    1 publications · 12 citations

    1

    h-index

  3. Multimedia Tools and Applications

    1 publications · 21 citations

    1

    h-index

  4. 2021 IEEE 18th India Council International Conference (INDICON)

    Conference · 1 publications · 15 citations

1–4