1 code implementation • 19 Jul 2022 • Tanqiu Qiao, Qianhui Men, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima, Hubert P. H. Shum
Consider that geometric features such as human pose and object position provide meaningful information to understand HOIs, we argue to combine the benefits of both visual and geometric features in HOI recognition, and propose a novel Two-level Geometric feature-informed Graph Convolutional Network (2G-GCN).
1 code implementation • 31 Jul 2021 • Yoshiki Kubotani, Yoshihiro Fukuhara, Shigeo Morishima
However, optimization using reinforcement learning requires a large number of interactions, and thus it cannot be applied directly to actual students.