Hubert P. H. Shum

NeuroPath: Brain-inspired dual-pathway Graph Convolutional Networks for skeleton-based action recognition

Skeleton-based action recognition aims to recognize human actions from sequences of human joint coordinates. Most existing Spatial-Temporal Graph Convolutional Networks (STGCNs) have achieved promising results by modeling skeletal structures with implicit spatial-temporal representations. However, our empirical study r...