Search Results for author: Masaki Hayashi

Found 2 papers, 1 papers with code

Retrieving and Highlighting Action with Spatiotemporal Reference

1 code implementation19 May 2020 Seito Kasai, Yuchi Ishikawa, Masaki Hayashi, Yoshimitsu Aoki, Kensho Hara, Hirokatsu Kataoka

In this paper, we present a framework that jointly retrieves and spatiotemporally highlights actions in videos by enhancing current deep cross-modal retrieval methods.

Action Recognition Cross-Modal Retrieval +5

Dominant Codewords Selection with Topic Model for Action Recognition

no code implementations1 May 2016 Hirokatsu Kataoka, Masaki Hayashi, Kenji Iwata, Yutaka Satoh, Yoshimitsu Aoki, Slobodan Ilic

Latent Dirichlet allocation (LDA) is used to develop approximations of human motion primitives; these are mid-level representations, and they adaptively integrate dominant vectors when classifying human activities.

Action Recognition Temporal Action Localization

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