32 citations · 62 across the 11 of their papers we have counts for
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cs.CV2023
Condition-Adaptive Graph Convolution Learning for Skeleton-Based Gait Recognition
Xiaohu Huang, Xinggang Wang, Zhidianqiu Jin +4
Graph convolutional networks have been widely applied in skeleton-based gait recognition. A key challenge in this task is to distinguish the individual walking styles of different…
cs.CV2023
GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition
Haijun Xiong, Yunze Deng, Bin Feng +2
Gait recognition, a growing field in biological recognition technology, utilizes distinct walking patterns for accurate individual identification. However, existing methods lack th…
cs.CV2023★ 13 cited
Graph Contrastive Learning for Skeleton-based Action Recognition
Xiaohu Huang, Hao Zhou, Jian Wang +7
In the field of skeleton-based action recognition, current top-performing graph convolutional networks (GCNs) exploit intra-sequence context to construct adaptive graphs for featur…