Conference
Open access
Sep 2026
Riemannian Graph Convolutional Network for Skeleton-Based Two-Person Interaction Recognition
This work model high-order skeletal statistics via Gaussian embedding and propose a Riemannian network to capture inter-subject interactions and global correlations and shows that RGCN provides a competitive and geometrically grounded alternative for skeleton-based interaction recognition.
Rui Wang, Zi-Hao Bi, Chen Hu et al.
· Proceedings of the Thirty-Fi... · 0 citations