Hayato Maki

Hayato MAKI, Ph. D. (真木勇人)

Research Scientist at ZOZO Technologies Inc.

(last update: 2019/12/04)

Recent activities

Gave a presentation at RecSys Study Group. The slide is here.
Gave a presentation at MIRU'19 Workshop about academic-industry collaboration. The slide is here.
Published two papers at DEIM 2019.
Wrote an article on recent trends in computer vision for fashion. Available here (in Japanese).

2015-2018 Ph.D. in Engineering
- Graduate School of Information Sciences, Nara Institute of Science and Technology
- Supervised by Prof. Satoshi Nakamura
2013-2015 Master in Engineering
- Graduate School of Information Sciences, Nara Institute of Science and Technology
- Supervised by Prof. Satoshi Nakamura
2009-2013 Bachelor in Policy and Planning Sciences
- University of Tsukuba

International Conference/Journal Papers

EEG-based Single Trial Detection of Language Expectation Violations in Listening to Speech, Hiroki Tanaka, Hiroki Watanabe, Hayato Maki, Sakti Sakriani, Satoshi Nakamura, Frontiers in Computational Neuroscience, 2019
Graph regularized tensor factorization for single-trial EEG Analysis, Hayato Maki, Hiroki Tanaka, Sakriani Sakti, Satoshi Nakamura, Proc. IEEE ICASSP, 2018
Quality prediction of synthesized speech based on tensor structured EEG signals, Hayato Maki, Sakriani Sakti, Hiroki Tanaka, Satoshi Nakamura, PLOS ONE, 2018
Prediction of Depressive Tendency from Multidimensional Health Data Collected through Crowdsourcing, Shiori Yamaguchi, Hiroki Tanaka, Hayato Maki, Shigehiko Kanaya, Nobutaka Suzuki, Satoshi Nakamura, Proc. IEEE EMBC, 2018
EEG Signal Enhancement Using Multi-channel Wiener Filter With a Spatial Correlation Prior, Hayato Maki, Tomoki Toda, Sakriani Sakti, Graham Neubig, Satoshi Nakamura, Proc. IEEE ICASSP, 2015

Domestic Conference Papers

Estimation of silhouette impression considering body and garment size, Souya Ikeda, Marie Katsurai, Hayato Maki, Ryosuke Goto, Proc. DEIM, 2019 (in Japanese)
Visualization of Fashion Style Network Using Social Tag Analysis, Kota Uemura, Marie Katsurai, Hayato Maki, Ryosuke Goto, Proc. DEIM, 2019 (in Japanese)

2018 - current: Research Scientist, ZOZO Technologies
- Research on recommender systems for fashion coordination based on computer vision and metric learning.
- Research on visualization of fashion concept using social network analysis, computer vision, and statistics.
- Research on quantification methods for silhouette impression of clothed person based on human body shape modeling and computer vision.
August 2016 - December 2016: Visiting Scholar, University of California San Diego
- Performed research project on noise removal from brain activity data using multi-channel signal processing and Bayesian statistics.