A Unified Multimodal De- and Re-Coupling Framework for RGB-D Motion Recognition
Author:
Affiliation:
1. Macau University of Science and Technology, Macau, China
2. DAMO Academy, Alibaba Group (U.S.) Inc., Bellevue, WA, USA
3. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/4359286/10122710.pdf?arnumber=10122710
Reference83 articles.
1. Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition
2. Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
3. Trear: Transformer-based RGB-D Egocentric Action Recognition
4. NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
5. A Closer Look at Spatiotemporal Convolutions for Action Recognition
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