18 citations · 20 across the 4 of their papers we have counts for
4 papers
An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition
Haojun Xu, Yan Gao, Jie Li +1
Zero-shot human skeleton-based action recognition aims to construct a model that can recognize actions outside the categories seen during training. Previous research has focused on…
Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
Yan Gao, Haojun Xu, Nannan Wang +2
The global multi-object tracking (MOT) system can consider interaction, occlusion, and other ``visual blur'' scenarios to ensure effective object tracking in long videos. Among the…
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition
Haojun Xu, Yan Gao, Zheng Hui +2
How humans understand and recognize the actions of others is a complex neuroscientific problem that involves a combination of cognitive mechanisms and neural networks. Research has…
Restricting Greed in Training of Generative Adversarial Network
Haoxuan You, Zhicheng Jiao, Haojun Xu +3
Generative adversarial network (GAN) has gotten wide re-search interest in the field of deep learning. Variations of GAN have achieved competitive results on specific tasks. Howeve…