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
Key Takeaways about Skeleton Based Action Recognition Using Graph Convolution Neural Networks
- Presentation video of IEEE VR 1640.
- 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 ...
- This is a Human
- 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
Authors: Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jianru Xue, Nanning Zheng Description:
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