28 citations · 45 across the 5 of their papers we have counts for
5 papers
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…
A Two-stream Neural Network for Pose-based Hand Gesture Recognition
Chuankun Li, Shuai Li, Yanbo Gao +2
Pose based hand gesture recognition has been widely studied in the recent years. Compared with full body action recognition, hand gesture involves joints that are more spatially cl…
A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition
Beidi Zhao, Shuai Li, Yanbo Gao +2
Smartphone sensors based human activity recognition is attracting increasing interests nowadays with the popularization of smartphones. With the high sampling rates of smartphone s…
Skeleton-based Action Recognition Using LSTM and CNN
Chuankun Li, Pichao Wang, Shuang Wang +2
Recent methods based on 3D skeleton data have achieved outstanding performance due to its conciseness, robustness, and view-independent representation. With the development of deep…
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…