Contents Science Lab

Nagoya University Graduate School of Informatics
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Akinori Sato

Finished Master in AY2018

Main projects

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Food attractiveness measurements

In this research, we analyze the attractiveness of food images using image analysis, including gaze information to improve the results.

Recent publications

    Gaze-inspired Learning for Estimating the Attractiveness of a Food Photo
    Akinori Sato, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase
    Proceedings of 20th IEEE Int. Symposium on Multimedia (ISM2018), pp.36-43, December 2018.
    Gaze-inspired Learning for Estimating the Attractiveness of a Food Photo
    Akinori Sato, Takatsugu Hirayama, Keisuke Doman, Yasutomo Kawanishi, Ichiro Ide, Daisuke Deguchi, Hiroshi Murase
    Proceedings of 20th IEEE Int. Symposium on Multimedia (ISM2018), pp.36-43, December 2018.


Last updated: 2025-09-26 02:42:58.181474936 +0000 UTC m=+7.158990643.