Hideaki Hayashi

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 50

Top Topics

Constrained Clustering

Image Generation

Character Recognition

Top Venues

Publications

Ryo Nakamura, Kentaro Ebisawa, Hideaki Hayashi, Tatsuya Fujiwara, Tomoko Okuzawa
Exploiting SRv6 for Stateless and Per-Connection-Consistent Load Balancing. IEEE Access 12 (2024)
Masahito Toba, Seiichi Uchida, Hideaki Hayashi
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model. CoRR (2024)
Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity. Medical Image Anal. 97 (2024)
Lorenzo S. Querol, Hajime Nagahara, Hideaki Hayashi
CALICO: Confident Active Learning with Integrated Calibration. CoRR (2024)
Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition. WACV (2024)
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting. CoRR (2024)
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting. FG (2024)
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
SpotFormer: Multi-Scale Spatio-Temporal Transformer for Facial Expression Spotting. CoRR (2024)
Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida
Analyzing Font Style Usage and Contextual Factors in Real Images. ICDAR (3) (2023)
Hideaki Hayashi
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer. CoRR (2023)
Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida
Analyzing Font Style Usage and Contextual Factors in Real Images. CoRR (2023)
Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. MIUA (2022)
Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. CoRR (2022)
Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji
Translation System and Related Application to Electromyogram Classification. IEEE Access 9 (2021)
Hideaki Hayashi, Seiichi Uchida
A Discriminative Gaussian Mixture Model with Sparsity. ICLR (2021)
Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
Soft and self constrained clustering for group-based labeling. Medical Image Anal. 72 (2021)
Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization. CoRR (2021)
Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. MICCAI (2) (2021)
Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi
Meta-learning of Pooling Layers for Character Recognition. CoRR (2021)
Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. CoRR (2021)
Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi
Meta-learning of Pooling Layers for Character Recognition. ICDAR (3) (2021)
Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida
Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization. ICASSP (2021)
Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida
Regularized Pooling. CoRR (2020)
Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida
Regularized Pooling. ICANN (2) (2020)
Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida
Handwriting Prediction Considering Inter-Class Bifurcation Structures. CoRR (2020)
Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida
Handwriting Prediction Considering Inter-Class Bifurcation Structures. ICFHR (2020)
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. CoRR (2019)
Shota Harada, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Qier Meng, Seiichi Uchida
Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming. EMBC (2019)
Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida
ProbAct: A Probabilistic Activation Function for Deep Neural Networks. CoRR (2019)
Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. CoRR (2019)
Hideaki Hayashi, Seiichi Uchida
SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model. CoRR (2019)
Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida
GlyphGAN: Style-consistent font generation based on generative adversarial networks. Knowl. Based Syst. 186 (2019)
Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks. CoRR (2019)
Shota Harada, Hideaki Hayashi, Seiichi Uchida
Biosignal Generation and Latent Variable Analysis With Recurrent Generative Adversarial Networks. IEEE Access 7 (2019)
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection. CoRR (2019)
Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
Efficient Soft-Constrained Clustering for Group-Based Labeling. MICCAI (5) (2019)
Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis. CoRR (2019)
Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. ICDAR (2019)
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. IEEE Access 7 (2019)
Joonho Lee, Hideaki Hayashi, Wataru Ohyama, Seiichi Uchida
Page Segmentation using a Convolutional Neural Network with Trainable Co-Occurrence Features. ICDAR (2019)
Akira Furui, Hideaki Hayashi, Toshio Tsuji
A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances. IEEE Trans. Biomed. Eng. 66 (10) (2019)
Hideaki Hayashi, Seiichi Uchida
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction. CoRR (2019)
Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji
Translation System and Related Application to Electromyogram Classification. CoRR (2019)
Shota Harada, Hideaki Hayashi, Seiichi Uchida
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks. CoRR (2019)
Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama
GAN-based synthetic brain MR image generation. ISBI (2018)
Hideaki Hayashi, Seiichi Uchida
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction. ACCV (2) (2018)
Shota Harada, Hideaki Hayashi, Seiichi Uchida
Biosignal Data Augmentation Based on Generative Adversarial Networks. EMBC (2018)
Hideaki Hayashi, Akira Furui, Yuichi Kurita, Toshio Tsuji
A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution. IEEE Trans. Biomed. Eng. 64 (11) (2017)
Jinho Lee, Brian Kenji Iwana, Shouta Ide, Hideaki Hayashi, Seiichi Uchida
Globally Optimal Object Tracking with Complementary Use of Single Shot Multibox Detector and Fully Convolutional Network. PSIVT (2017)
Akira Furui, Hideaki Hayashi, Yuichi Kurita, Toshio Tsuji
Variance distribution analysis of surface EMG signals based on marginal maximum likelihood estimation. EMBC (2017)
Yuya Ogura, Hideaki Hayashi, Shota Nakashima, Zu Soh, Taro Shibanoki, Koji Shimatani, Akihito Takeuchi, Makoto Nakamura, Akihisa Okumura, Yuichi Kurita, Toshio Tsuji
A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures. EMBC (2015)
Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 26 (12) (2015)
Hideaki Hayashi, Yuichi Kurita, Toshio Tsuji
A non-Gaussian approach for biosignal classification based on the Johnson SU translation system. IWCIA (2015)
Hideaki Hayashi, Keisuke Shima, Taro Shibanoki, Yuichi Kurita, Toshio Tsuji
Bioelectric signal classification using a recurrent probabilistic neural network with time-series discriminant component analysis. EMBC (2013)
Ryuichi Seiyama, Takashi Yamaji, Hideaki Hayashi, Kazunori Takashima, Akira Mizuno
Regeneration of diesel particulate filter using sliding discharge. IAS (2013)
Hideaki Hayashi, Kazunori Takashima, Akira Mizuno
Collection of Diesel Exhaust Particle Using Gradient Force. IAS (2010)
Hideaki Hayashi, Yasuhiro Takasaki, Kazuki Kawahara, Tomoya Takenaka, Kazunori Takashima, Akira Mizuno, Moo Been Chang
Electrostatic Charging and Precipitation of Diesel Soot. IAS (2009)
Hiroshi Umemoto, Hideaki Hayashi, Kazunori Takashima, Akira Mizuno
Electrostatic Precipitators for Cleaning Diesel Exhaust. IAS (2008)