Hideaki Hayashi

72 papers A* 2A 4B 3C 7Misc 1Journal 38Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Point-Supervised Facial Expression Spotting With Gaussian-Based Instance-Adaptive Intensity Modeling. IEEE Trans. Biom. Behav. Identity Sci. Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
2025	J	`jnl`	A Hybrid of Generative and Discriminative Models Based on the Gaussian-Coupled Softmax Layer. IEEE Trans. Neural Networks Learn. Syst. Hideaki Hayashi
2025	—	`conf`	Discriminative Analysis of Autistic Tendencies at 18 Months of Age Using Eye Gaze Characteristics in 4-, 10-, and 18-month-old Infants. SII Rena Ueda, Hirokazu Doi, Akira Furui, Koji Shimatani, Hideaki Hayashi, Toshio Tsuji
2025	J	`jnl`	Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation. CoRR Ryosuke Kawamura, Hideaki Hayashi, Shunsuke Otake, Noriko Takemura, Hajime Nagahara
2025	A*	`conf`	Gaussian-Based Instance-Adaptive Intensity Modeling for Point-Supervised Facial Expression Spotting. ICLR Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
2025	J	`jnl`	MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition. CoRR Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara
2025	A	`conf`	Multi-task Learning of Classification and Generation for Set-structured Data. WACV Fumioki Sato, Hideaki Hayashi, Hajime Nagahara
2025	—	`conf`	Non-Negative Tensor Factorization of Infant Spontaneous Movements: A Pilot Study for ASD Risk Evaluation of Newborn Infants. SII Rikuya Yonei, Akira Furui, Hirokazu Doi, Koji Shimatani, Hideaki Hayashi, Midori Yamamoto, Kenichi Sakurai, Chisato Mori, Toshio Tsuji
2025	J	`jnl`	Point-Supervised Facial Expression Spotting with Gaussian-Based Instance-Adaptive Intensity Modeling. CoRR Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
2024	—	`conf`	CALICO: Confident Active Learning with Integrated Calibration. ICANN (1) Lorenzo S. Querol, Hajime Nagahara, Hideaki Hayashi
2024	J	`jnl`	CALICO: Confident Active Learning with Integrated Calibration. CoRR Lorenzo S. Querol, Hajime Nagahara, Hideaki Hayashi
2024	J	`jnl`	Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity. CoRR Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
2024	J	`jnl`	Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity. Medical Image Anal. Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
2024	J	`jnl`	Exploiting SRv6 for Stateless and Per-Connection-Consistent Load Balancing. IEEE Access Ryo Nakamura, Kentaro Ebisawa, Hideaki Hayashi, Tatsuya Fujiwara, Tomoko Okuzawa
2024	C	`conf`	Is Internal State Feedback in an E-Learning Environment Acceptable to People? ICCE Atsushi Ashida, Ryosuke Kawamura, Shizuka Shirai, Noriko Takemura, Mehrasa Alizadeh, Hideaki Hayashi, Hajime Nagahara
2024	A	`conf`	MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition. WACV Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara
2024	B	`conf`	Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting. FG Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
2024	J	`jnl`	Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting. CoRR Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
2024	B	`conf`	Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model. IJCNN Masahito Toba, Seiichi Uchida, Hideaki Hayashi
2024	J	`jnl`	Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model. CoRR Masahito Toba, Seiichi Uchida, Hideaki Hayashi
2024	J	`jnl`	SpotFormer: Multi-Scale Spatio-Temporal Transformer for Facial Expression Spotting. CoRR Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
2023	J	`jnl`	A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer. CoRR Hideaki Hayashi
2023	—	`conf`	Analyzing Font Style Usage and Contextual Factors in Real Images. ICDAR (3) Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida
2023	J	`jnl`	Analyzing Font Style Usage and Contextual Factors in Real Images. CoRR Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida
2022	—	`conf`	Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. MIUA Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
2022	J	`jnl`	Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. CoRR Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida
2021	A*	`conf`	A Discriminative Gaussian Mixture Model with Sparsity. ICLR Hideaki Hayashi, Seiichi Uchida
2021	J	`jnl`	A Neural Network Based on the Johnson S IEEE Access Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji
2021	J	`jnl`	Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization. CoRR Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida
2021	Misc	`conf`	Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization. ICASSP Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida
2021	—	`conf`	Meta-learning of Pooling Layers for Character Recognition. ICDAR (3) Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi
2021	J	`jnl`	Meta-learning of Pooling Layers for Character Recognition. CoRR Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi
2021	—	`conf`	Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. MICCAI (2) Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
2021	J	`jnl`	Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. CoRR Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
2021	J	`jnl`	Soft and self constrained clustering for group-based labeling. Medical Image Anal. Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
2020	B	`conf`	Handwriting Prediction Considering Inter-Class Bifurcation Structures. ICFHR Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida
2020	J	`jnl`	Handwriting Prediction Considering Inter-Class Bifurcation Structures. CoRR Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida
2020	—	`ch.`	Infinite Brain MR Images: PGGAN-Based Data Augmentation for Tumor Detection. Neural Approaches to Dynamics of Signal Exchanges Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
2020	—	`conf`	Regularized Pooling. ICANN (2) Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida
2020	J	`jnl`	Regularized Pooling. CoRR Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida
2019	J	`jnl`	A Neural Network Based on the Johnson S CoRR Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji
2019	J	`jnl`	A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis. CoRR Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji
2019	J	`jnl`	A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances. IEEE Trans. Biomed. Eng. Akira Furui, Hideaki Hayashi, Toshio Tsuji
2019	J	`jnl`	A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction. CoRR Hideaki Hayashi, Seiichi Uchida
2019	J	`jnl`	Biosignal Generation and Latent Variable Analysis With Recurrent Generative Adversarial Networks. IEEE Access Shota Harada, Hideaki Hayashi, Seiichi Uchida
2019	J	`jnl`	Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks. CoRR Shota Harada, Hideaki Hayashi, Seiichi Uchida
2019	J	`jnl`	Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. IEEE Access Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
2019	J	`jnl`	Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. CoRR Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
2019	—	`conf`	Efficient Soft-Constrained Clustering for Group-Based Labeling. MICCAI (5) Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida
2019	—	`conf`	Endoscopic Image Clustering with Temporal Ordering Information Based on Dynamic Programming. EMBC Shota Harada, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Qier Meng, Seiichi Uchida
2019	J	`jnl`	GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks. CoRR Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida
2019	J	`jnl`	GlyphGAN: Style-consistent font generation based on generative adversarial networks. Knowl. Based Syst. Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida
2019	J	`jnl`	Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection. CoRR Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
2019	A	`conf`	Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. ICDAR Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida
2019	J	`jnl`	Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. CoRR Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida
2019	A	`conf`	Page Segmentation using a Convolutional Neural Network with Trainable Co-Occurrence Features. ICDAR Joonho Lee, Hideaki Hayashi, Wataru Ohyama, Seiichi Uchida
2019	J	`jnl`	ProbAct: A Probabilistic Activation Function for Deep Neural Networks. CoRR Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida
2019	J	`jnl`	SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model. CoRR Hideaki Hayashi, Seiichi Uchida
2018	—	`conf`	A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction. ACCV (2) Hideaki Hayashi, Seiichi Uchida
2018	—	`conf`	Biosignal Data Augmentation Based on Generative Adversarial Networks. EMBC Shota Harada, Hideaki Hayashi, Seiichi Uchida
2018	—	`conf`	GAN-based synthetic brain MR image generation. ISBI Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama
2017	J	`jnl`	A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution. IEEE Trans. Biomed. Eng. Hideaki Hayashi, Akira Furui, Yuichi Kurita, Toshio Tsuji
2017	C	`conf`	Globally Optimal Object Tracking with Complementary Use of Single Shot Multibox Detector and Fully Convolutional Network. PSIVT Jinho Lee, Brian Kenji Iwana, Shouta Ide, Hideaki Hayashi, Seiichi Uchida
2017	—	`conf`	Variance distribution analysis of surface EMG signals based on marginal maximum likelihood estimation. EMBC Akira Furui, Hideaki Hayashi, Yuichi Kurita, Toshio Tsuji
2015	J	`jnl`	A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis. IEEE Trans. Neural Networks Learn. Syst. Hideaki Hayashi, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Toshio Tsuji
2015	—	`conf`	A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures. EMBC Yuya Ogura, Hideaki Hayashi, Shota Nakashima, Zu Soh, Taro Shibanoki, Koji Shimatani, Akihito Takeuchi, Makoto Nakamura, Akihisa Okumura, Yuichi Kurita, Toshio Tsuji
2015	C	`conf`	A non-Gaussian approach for biosignal classification based on the Johnson SU translation system. IWCIA Hideaki Hayashi, Yuichi Kurita, Toshio Tsuji
2013	—	`conf`	Bioelectric signal classification using a recurrent probabilistic neural network with time-series discriminant component analysis. EMBC Hideaki Hayashi, Keisuke Shima, Taro Shibanoki, Yuichi Kurita, Toshio Tsuji
2013	C	`conf`	Regeneration of diesel particulate filter using sliding discharge. IAS Ryuichi Seiyama, Takashi Yamaji, Hideaki Hayashi, Kazunori Takashima, Akira Mizuno
2010	C	`conf`	Collection of Diesel Exhaust Particle Using Gradient Force. IAS Hideaki Hayashi, Kazunori Takashima, Akira Mizuno
2009	C	`conf`	Electrostatic Charging and Precipitation of Diesel Soot. IAS Hideaki Hayashi, Yasuhiro Takasaki, Kazuki Kawahara, Tomoya Takenaka, Kazunori Takashima, Akira Mizuno, Moo Been Chang
2008	C	`conf`	Electrostatic Precipitators for Cleaning Diesel Exhaust. IAS Hiroshi Umemoto, Hideaki Hayashi, Kazunori Takashima, Akira Mizuno