Graph Diffusion Convolutional Network for Skeleton Based Semantic Recognition of Two-Person Actions-Reference-Cited by-同舟云学术

Graph Diffusion Convolutional Network for Skeleton Based Semantic Recognition of Two-Person Actions

Author:

Li Shuai¹^ORCID,He Xinxue¹^ORCID,Song Wenfeng²^ORCID,Hao Aimin¹,Qin Hong³^ORCID

Affiliation:

1. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

2. Computer School, Beijing Information Science and Technology University, Beijing, China

3. Department of Computer Science, Stony Brook University, Stony Brook, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference48 articles.

1. Multi-task deep learning for real-time 3D human pose estimation and action recognition;luvizon;IEEE Trans Pattern Anal Mach Intell,2021

2. Convolutional neural networks on graphs with fast localized spectral filtering;defferrard;Proc Int Conf Neural Inf Process,2016

4. Learning convolutional neural networks for graphs;niepert;Proc Int Conf Mach Learn,2016

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