Shu Nakamura — accepted AI-conference papers

2026

Action Motifs: Self-Supervised Hierarchical Representation of Human Body Movements

Genki Kinoshita, Shu Nakamura, Ryo Kawahara, Shohei Nobuhara, Yasutomo Kawanishi, Ko Nishino

CVPR 2026

Effective human behavior modeling requires a representation of the human body movement that capitalizes on its compositionality. We propose a hierarchical representation consisting of Action Atoms that capture the atomic joint movements and Action Motifs that are formed by their temporal composition

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2023

DeePoint: Visual Pointing Recognition and Direction Estimation

Shu Nakamura, Yasutomo Kawanishi, Shohei Nobuhara, Ko Nishino

ICCV 2023poster

In this paper, we realize automatic visual recognition and direction estimation of pointing. We introduce the first neural pointing understanding method based on two key contributions. The first is the introduction of a first-of-its-kind large-scale dataset for pointing recognition and direction est…

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