Human-Centric Graph Representation for Multimodal Action Recognition

This research explores a novel approach to multimodal action recognition, leveraging graph representation learning with a human-centric perspective. The approach, termed "Patch as Node", is promising and suggests a shift towards more interpretable and robust action understanding.