Understanding Skeleton Based Action Recognition Using Graph Convolution Neural Networks
Exploring Skeleton Based Action Recognition Using Graph Convolution Neural Networks reveals several interesting facts. Mini project
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- Authors: Xikun Zhang, Chang Xu, Dacheng Tao Description:
- Authors: Michael Duhme, Raphael Memmesheimer, Dietrich Paulus Abstract: In this paper we present Fusion-GCN, an approach ...
- In this video I review the paper "Hierarchically Decomposed
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- Fusion-GCN: Multimodal
Detailed Analysis of Skeleton Based Action Recognition Using Graph Convolution Neural Networks
Authors: Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, Hanqing Lu Description: ST-GCN is the first GCN-based method for the task of Human
Presentation video of IEEE VR 1640.
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