Hideaki Hayashi

According to our database, Hideaki Hayashi authored at least 39 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yicheng Deng, Hideaki Hayashi, Hajime Nagahara

CoRR, 2024

MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition.

Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer.

Hideaki Hayashi

CoRR, 2023

Analyzing Font Style Usage and Contextual Factors in Real Images.

Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022

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 - 26th Annual Conference, 2022

2021

Soft and self constrained clustering for group-based labeling.

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

Medical Image Anal., 2021

A Neural Network Based on the Johnson S_U Translation System and Related Application to Electromyogram Classification.

Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji

IEEE Access, 2021

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 Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Discriminative Gaussian Mixture Model with Sparsity.

Hideaki Hayashi, Seiichi Uchida

Proceedings of the 9th International Conference on Learning Representations, 2021

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, 2021

Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization.

Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

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

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Handwriting Prediction Considering Inter-Class Bifurcation Structures.

Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

Regularized Pooling.

Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances.

Akira Furui, Hideaki Hayashi, Toshio Tsuji

IEEE Trans. Biomed. Eng., 2019

GlyphGAN: Style-consistent font generation based on generative adversarial networks.

Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida

Knowl. Based Syst., 2019

SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model.

Hideaki Hayashi, Seiichi Uchida

CoRR, 2019

ProbAct: A Probabilistic Activation Function for Deep Neural Networks.

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

CoRR, 2019

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

CoRR, 2019

Biosignal Generation and Latent Variable Analysis With Recurrent Generative Adversarial Networks.

Shota Harada, Hideaki Hayashi, Seiichi Uchida

IEEE Access, 2019

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection.

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

IEEE Access, 2019

Efficient Soft-Constrained Clustering for Group-Based Labeling.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders.

Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Page Segmentation using a Convolutional Neural Network with Trainable Co-Occurrence Features.

Joonho Lee, Hideaki Hayashi, Wataru Ohyama, Seiichi Uchida

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming.

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

GAN-based synthetic brain MR image generation.

Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Biosignal Data Augmentation Based on Generative Adversarial Networks.

Shota Harada, Hideaki Hayashi, Seiichi Uchida

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction.

Hideaki Hayashi, Seiichi Uchida

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution.

Hideaki Hayashi, Akira Furui, Yuichi Kurita, Toshio Tsuji

IEEE Trans. Biomed. Eng., 2017

Globally Optimal Object Tracking with Complementary Use of Single Shot Multibox Detector and Fully Convolutional Network.

Jinho Lee, Brian Kenji Iwana, Shouta Ide, Hideaki Hayashi, Seiichi Uchida

Proceedings of the Image and Video Technology - 8th Pacific-Rim Symposium, 2017

Variance distribution analysis of surface EMG signals based on marginal maximum likelihood estimation.

Akira Furui, Hideaki Hayashi, Yuichi Kurita, Toshio Tsuji

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015

A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis.

Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji

IEEE Trans. Neural Networks Learn. Syst., 2015

A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures.

Yuya Ogura, Hideaki Hayashi, Shota Nakashima, Zu Soh, Taro Shibanoki, Koji Shimatani, Akihito Takeuchi, Makoto Nakamura, Akihisa Okumura, Yuichi Kurita, Toshio Tsuji

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A non-Gaussian approach for biosignal classification based on the Johnson SU translation system.

Hideaki Hayashi, Yuichi Kurita, Toshio Tsuji

Proceedings of the IEEE 8th International Workshop on Computational Intelligence and Applications, 2015

2013

Regeneration of diesel particulate filter using sliding discharge.

Ryuichi Seiyama, Takashi Yamaji, Hideaki Hayashi, Kazunori Takashima, Akira Mizuno

Proceedings of the 2013 IEEE Industry Applications Society Annual Meeting, 2013

Bioelectric signal classification using a recurrent probabilistic neural network with time-series discriminant component analysis.

Hideaki Hayashi, Keisuke Shima, Taro Shibanoki, Yuichi Kurita, Toshio Tsuji

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2010

Collection of Diesel Exhaust Particle Using Gradient Force.

Hideaki Hayashi, Kazunori Takashima, Akira Mizuno

Proceedings of the Annual Meeting of the IEEE Industry Applications Society, 2010

2009

Electrostatic Charging and Precipitation of Diesel Soot.

Hideaki Hayashi, Yasuhiro Takasaki, Kazuki Kawahara, Tomoya Takenaka, Kazunori Takashima, Akira Mizuno, Moo Been Chang

Proceedings of the Annual Meeting of the IEEE Industry Applications Society, 2009

2008

Electrostatic Precipitators for Cleaning Diesel Exhaust.

Hiroshi Umemoto, Hideaki Hayashi, Kazunori Takashima, Akira Mizuno

Proceedings of the Industry Applications Society Annual Meeting, 2008