Search Results for author: Yoshiki Kubotani

Found 2 papers, 2 papers with code

Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos

1 code implementation19 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).

Human-Object Interaction Detection

RLTutor: Reinforcement Learning Based Adaptive Tutoring System by Modeling Virtual Student with Fewer Interactions

1 code implementation31 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.

Decision Making reinforcement-learning +1

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