13 citations · 20 across the 6 of their papers we have counts for
6 papers
Skim then Focus: Integrating Contextual and Fine-grained Views for Repetitive Action Counting
Zhengqi Zhao, Xiaohu Huang, Hao Zhou +6
The key to action counting is accurately locating each video's repetitive actions. Instead of estimating the probability of each frame belonging to an action directly, we propose a…
FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition
Xiaohu Huang, Hao Zhou, Kun Yao +1
In this paper, we introduce FROSTER, an effective framework for open-vocabulary action recognition. The CLIP model has achieved remarkable success in a range of image-based tasks,…
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…
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…
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…
Multi-scale Context-aware Network with Transformer for Gait Recognition
Duowang Zhu, Xiaohu Huang, Xinggang Wang +4
Although gait recognition has drawn increasing research attention recently, since the silhouette differences are quite subtle in spatial domain, temporal feature representation is…