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