MMNet: A Model-based Multimodal Network for Human Action Recognition in RGB-D Videos-Reference-Cited by-同舟云学术

MMNet: A Model-based Multimodal Network for Human Action Recognition in RGB-D Videos

Author:

Yu Bruce X.B.¹,Liu Yan¹,Zhang Xiang²,Zhong Sheng-hua³,Chan Keith C.C.⁴

Affiliation:

1. Computing, The Hong Kong Polytechnic University, 26680 Kowloon, Kowloon City, Hong Kong

2. Computing, The Hong Kong Polytechnic University, 26680 Kowloon, Hong Kong, Hong Kong

3. Computer Science, Shenzhen University, 47890 Shenzhen, Guangdong, China

4. Computing, The Hong Kong Polytechnic University, 26680 Hong Kong, Kowloon, Hong Kong

Funder

The Hong Kong Polytechnic University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference89 articles.

4. Convolutional LSTM network: A machine learning approach for precipitation nowcasting;xingjian;Proc Adv Neural Informat Process Syst,2015

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