Hideaki Hayashi

Profile Information

Affiliation: Associate professor, Institute for Datability Science, Osaka University

Degree: Doctor of Engineering(Hiroshima University)

J-GLOBAL ID: 201501033437047155
researchmap Member ID: B000244946

External link: https://sites.google.com/view/hideakihayashi/home

Hideaki Hayashi received his B.E., M.Eng, and D.Eng. degrees from Hiroshima University, Hiroshima, Japan, in 2012, 2014, and 2016 respectively. He was a Research Fellow of the Japan Society for the Promotion of Science from 2015 to 2017 and an assistant professor at Kyushu University from 2017 to 2022. He is currently an associate professor at Osaka University. His research interests focus on machine learning, computer vision, and medical data analysis.

Personal web page: https://sites.google.com/view/hideakihayashi/home
Google Scholar: https://scholar.google.co.jp/citations?user=XwYPKOYAAAAJ&hl=ja
Researchgate: http://www.researchgate.net/profile/Hideaki_Hayashi3

Research Interests

Research Areas

Papers

Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting

Yicheng Deng, Hideaki Hayashi, Hajime Nagahara

International Conference on Automatic Face and Gesture Recognition (FG2024), May, 2024 Peer-reviewed
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer

Hideaki Hayashi

IEEE Transactions on Neural Networks and Learning Systems (in press), 2024 Peer-reviewedLead authorCorresponding author
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition

Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara

Winter Conference on Applications of Computer Vision (WACV2024), Jan, 2024 Peer-reviewed
Analyzing Font Style Usage and Contextual Factors in Real Images.

Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida

The 17th International Conference on Document Analysis and Recognition (ICDAR 2023), 331-347, Aug, 2023 Peer-reviewed
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data

Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida

Proceedings of the Medical Image Understanding and Analysis (MIUA2022), 609-622, Jul, 2022 Peer-reviewed
Human–Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal

Hideaki Hayashi, Toshio Tsuji

IEEJ Transactions on Electrical and Electronic Engineering, 17(11) 1536-1544, Jun, 2022 Peer-reviewedInvitedLead author
A Neural Network Based on the Johnson SU Translation System and Related Application to Electromyogram Classification

Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji

IEEE Access, 9 154304-154317, Nov, 2021 Peer-reviewedLead author
Meta-learning of Pooling Layers for Character Recognition

Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi

Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR 2021), 12823 LNCS 188-203, Sep, 2021 Peer-reviewedLast author
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels

Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida

Proceedings of the 24nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), 471-480, Sep, 2021 Peer-reviewed
Soft and self constrained clustering for group-based labeling

Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida

Medical Image Analysis, 72 102097-102097, Aug, 2021 Peer-reviewed
Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization

Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3945-3949, Jun 6, 2021 Peer-reviewedLead authorCorresponding author
A Discriminative Gaussian Mixture Model with Sparsity

Hideaki Hayashi, Seiichi Uchida

Proceedings of the 9th International Conference on Learning Representations (ICLR 2021), May, 2021 Peer-reviewedLead author
Video-based evaluation of infant crawling toward quantitative assessment of motor development

Katsuaki Kawashima, Yasuko Funabiki, Shino Ogawa, Hideaki Hayashi, Zu Soh, Akira Furui, Ayumi Sato, Taiko Shiwa, Hiroki Mori, Koji Shimatani …

Scientific Reports, 10(1) 11266-11266, Dec, 2020 Peer-reviewed
Longitudinal assessment of U-shaped and inverted U-shaped developmental changes in the spontaneous movements of infants via markerless video analysis

Naoki Kinoshita, Akira Furui, Zu Soh, Hideaki Hayashi, Taro Shibanoki, Hiroki Mori, Koji Shimatani, Yasuko Funabiki, Toshio Tsuji

Scientific Reports, 10(1) 16827-16827, Dec, 2020 Peer-reviewed
Markerless Measurement and Evaluation of General Movements in Infants

Toshio Tsuji, Shota Nakashima, Hideaki Hayashi, Zu Soh, Akira Furui, Taro Shibanoki, Keisuke Shima, Koji Shimatani

Scientific Reports, 10(1), Dec, 2020 Peer-reviewed
Handwriting Prediction Considering Inter-Class Bifurcation Structures

Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida

Proceedings of the 17th International Conference on Frontiers of Handwriting Recognition (ICFHR 2020), 103-108, Sep, 2020 Peer-reviewed
Infinite Brain MR Images: PGGAN-Based Data Augmentation for Tumor Detection

Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi

Neural Approaches to Dynamics of Signal Exchanges, 291-303, 2020 Last author
Regularized Pooling

Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida

Artificial Neural Networks and Machine Learning – ICANN 2020, 241-254, 2020 Peer-reviewed
GlyphGAN: Style-consistent font generation based on generative adversarial networks

Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida

Knowledge-Based Systems, 186 104927-104927, Dec, 2019 Peer-reviewed
Efficient Soft-Constrained Clustering for Group-Based Labeling

Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida

Proceedings of the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Oct, 2019 Peer-reviewed

Misc.

クラス情報を考慮したEnergy-based Modelによる時系列予測手法の提案

山縣将貴, 内田誠一, 早志英朗

情報処理学会研究報告(Web), 2022(CVIM-228), 2022
深層パーセプトロンの単位初期化に基づく中間層の貢献度と尤度の解析

久保田祥平, 早志英朗, 早瀬友裕, 内田誠一

電子情報通信学会技術研究報告(Web), 120(300(PRMU2020 38-68)), 2020
特定印象を考慮した文字フォントの生成に向けた試み

松田征也, 早志英朗, 内田誠一

電気・情報関係学会九州支部連合大会講演論文集(CD-ROM), 73rd, 2020
深層ニューラルネットワーク内部での画像改ざん検出の試み

亀澤祥平, 早志英朗, 内田誠一

電気・情報関係学会九州支部連合大会講演論文集(CD-ROM), 73rd, 2020
Development of Automatic Classification System for Jellyfish Sign Using Deep Learning

Kosuke Kawano, Naoya Iijima, Nozomi Nanki, Akira Furui, Zu Soh, Hiroki Mori, Hideaki Hayashi, Shinji Kume, Toshio Tsuji

20th The Society of Instrument and Control Engineers Conference on System Integration Division, Dec, 2019
2 次元姿勢推定深層学習モデルを用いた新生児 General Movements の評価

飯島直也, 古居彬, 曽智, 早志英朗, 森裕紀, 島谷康司, 辻敏夫

第8回日本発達神経科学学会予稿集, 28, Nov, 2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks.

Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida

CoRR, abs/1905.10761, 2019
CHLAC特徴量を用いた新生児General Movements動画像識別の精度検証

飯島直也, 南木望, 木下直樹, 古居彬, 曽智, 森裕紀, 早志英朗, 島谷康司, 辻敏夫

第19回計測自動制御学会システムインテグレーション部門講演会（SI2018）予稿集, 103-107, Dec, 2018
Emotion Estimation Using Biosignals during Myoelectric Prosthesis Training

the journal of the Japanese Academy of Prosthetists and Orthotists, 26(3) 174-180, Oct 1, 2018 Peer-reviewed
Case study of Project Based Learning on embedded system development for undergraduate students and analyze of learning effect

中村啓之, 内山英昭, 早志英朗, 島田敬士, 峯恒憲

組込みシステムシンポジウム2017論文集, (2017) 90-93, Aug 17, 2017
動画像解析に基づく乳幼児ハイハイ動作の経時的発達評価

川嶋克明, 船曳康子, 小川詩乃, 尾倉侑也, 早志英朗, 曽智, 栗田雄一, 志波泰子, 森裕紀, 島谷康司 …

日本発達神経科学学会第5回学術集会予稿集, 28, Nov, 2016
新生児General Movements評価支援システムの精度検証

木下直樹, 川嶋克明, 尾倉侑也, 早志英朗, 曽智, 芝軒太郎, 森裕紀, 島谷康司, 栗田雄一, 辻敏夫

日本発達神経科学学会第5回学術集会予稿集, 57, Nov, 2016
動画像解析に基づく乳幼児ハイハイ動作の定量的発達評価

川嶋克明, 船曳康子, 小川詩乃, 尾倉侑也, 早志英朗, 曽智, 栗田雄一, 佐藤鮎美, 志波泰子, 森裕紀 …

日本赤ちゃん学会第16回学術集会プログラム採録集, 89, May, 2016
乳幼児のハイハイ動作解析に基づく発育評価支援システムの開発

川嶋克明, 小川詩乃, 佐藤鮎美, 尾倉侑也, 中島翔太, 早志英朗, 曽智, 栗田雄一, 森裕紀, 最上晴太 …

第48回日本人間工学会中国・四国支部大会講演論文集, 80-81, Dec, 2015
CHLACに基づく新生児General Movementsの動画像識別

中島翔太, 森裕紀, 早志英朗, 曽智, 島谷康司, 栗田雄一, 浅田稔, 辻敏夫

日本発達神経科学学会第4回学術集会予稿集, 9, Sep, 2015
1P2-K05 Training System for the Five-finger EMG-prosthetic Hand Using Virtual Reality

ETO Shintaro, TSUJI Toshio, ORIHASHI Fuminori, HAYASHI Hideaki, NAKAMURA Go, SHIBANOKI Taro, TAKAKI Takeshi, KURITA Yuichi, HONDA Yuichiro, CHIN Takaaki

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2015 _1P2-K05_1-_1P2-K05_2, 2015

Research Projects

Probabilistic model-based time-series forecasting neural networks and related applications to biosignal forecasting

Grants-in-Aid for Scientific Research, Grant-in-Aid for Young Scientists (B), Japan Society for the Promotion of Science, Apr, 2017 - Mar, 2021

Hayashi Hideaki