Rchr
J-GLOBAL ID:201501033437047155   Update date: Jan. 30, 2024

Hayashi Hideaki

ハヤシ ヒデアキ | Hayashi Hideaki
Affiliation and department:
Job title: Associate professor
Homepage URL  (1): https://sites.google.com/view/hideakihayashi/home
Research field  (5): Intelligent informatics ,  Intelligent informatics ,  Biomedical engineering ,  Soft computing ,  Soft computing
Research keywords  (6): Pattern recognition ,  Computer vision ,  Medical data analysis ,  Biosignal analysis ,  Machine learning ,  Neural Network
Research theme for competitive and other funds  (1):
  • 2017 - 2021 Probabilistic model-based time-series forecasting neural networks and related applications to biosignal forecasting
Papers (46):
  • Yicheng Deng, Hideaki Hayashi, Hajime Nagahara. Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting. International Conference on Automatic Face and Gesture Recognition (FG2024). 2024
  • Hideaki Hayashi. A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer. IEEE Transactions on Neural Networks and Learning Systems (in press). 2024
  • Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara. MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition. Winter Conference on Applications of Computer Vision (WACV2024). 2024
  • Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida. Analyzing Font Style Usage and Contextual Factors in Real Images. The 17th International Conference on Document Analysis and Recognition (ICDAR 2023). 2023. 331-347
  • Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida. Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. Proceedings of the Medical Image Understanding and Analysis (MIUA2022). 2022. 609-622
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MISC (16):
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Professional career (1):
  • Doctor of Engineering (Hiroshima University)
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