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MMNet: A Model-based Multimodal Network for Human Action Recognition in RGB-D Videos
Our MMNet outperforms state-of-the-art approaches on six evaluation protocols of the five benchmark datasets: NTU RGB+D 60, NTU RGB+D 120, PKU-MMD, Northwestern-UCLA Multiview, and Toyota Smarthome.
Bruce X.B. Yu, Yan Liu, Xiang Zhang, Sheng-hua Zhong, Keith C.C. Chan
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MMNet: A Model-based Multimodal Network for Human Action Recognition in RGB-D Videos
A Learning Approach for Suture Thread Detection with Feature Enhancement and Segmentation for 3-D Shape Reconstruction
A vision-based system presents one of the most reliable methods for achieving an automated robot-assisted manipulation associated with …
Bo Lu, Bruce X.B. Yu, JW Lai, KC Huang, Keith CC Chan, Henry K Chu
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