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cs.CV2024★ 1 cited
Unsupervised Spatial-Temporal Feature Enrichment and Fidelity Preservation Network for Skeleton based Action Recognition
Chuankun Li, Shuai Li, Yanbo Gao +3
Unsupervised skeleton based action recognition has achieved remarkable progress recently. Existing unsupervised learning methods suffer from severe overfitting problem, and thus sm…
cs.CV2016★ 8 cited
Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks
Pichao Wang, Wanqing Li, Chuankun Li +1
Convolutional Neural Networks (ConvNets) have recently shown promising performance in many computer vision tasks, especially image-based recognition. How to effectively apply ConvN…