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1000 shrine gates in Fushimi Inari shrine, Kyoto

Akisato Kimura

Ph.D (Engineering)

Media Recognition Research Group
Media Information Laboratory
NTT Communication Science Laboratories

Visiting Industrial Fellow,
Computational and Biological Learning Laboratory,
Department of Engineering,
University of Cambridge

E-mail:   akisato <at> ieee  org

November, 2017 Our paper "Weakly supervised collective feature learning from curated media" has been accepted for a presentation at AAAI Conference on Artificial Intelligence (AAAI2018).
October, 2017 We have presented our paper "Cleansing, organizing and training: Two guidelines for generating attractive news headlines for social media" at Computation + Journalism Symposium (C+J2017).
June, 2017 We have presented our work "Single-epoch supernova classification with deep convolutional neural networks" at JST-CREST Workshop collocated with ICDCS2017.
March, 2017 I joined Computational and Biological Learning Groups in University of Cambridge as a Visting Industrial Fellow.

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