Learning Action Hierarchies via Hybrid Geometric Diffusion
Human actions unfold through multiple levels of abstraction, yet current action segmentation approaches typically consider a flat, Euclidean relationship between actions. This paper remedies this limitation by enforcing hierarchical structure amongst actions.