Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition

no code implementations • 27 Feb 2018 • Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Jian Yang

To encode dynamic graphs, the constructed multi-scale local graph convolution filters, consisting of matrices of local receptive fields and signal mappings, are recursively performed on structured graph data of temporal and spatial domain.

Action Recognition Skeleton Based Action Recognition +1

Action-Attending Graphic Neural Network

no code implementations • 17 Nov 2017 • Chaolong Li, Zhen Cui, Wenming Zheng, Chunyan Xu, Rongrong Ji, Jian Yang

The motion analysis of human skeletons is crucial for human action recognition, which is one of the most active topics in computer vision.

Action Analysis Action Recognition +3

Deep manifold-to-manifold transforming network for action recognition

no code implementations • 30 May 2017 • Tong Zhang, Wenming Zheng, Zhen Cui, Chaolong Li

Symmetric positive definite (SPD) matrices (e. g., covariances, graph Laplacians, etc.)

Action Recognition Temporal Action Localization