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Hideaki Hayashi
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2020 – today
- 2024
- [j10]Ryo Nakamura
, Kentaro Ebisawa
Exploiting SRv6 for Stateless and Per-Connection-Consistent Load Balancing. IEEE Access 12: 83525-83537 (2024) - [j9]Takeaki Kadota
Deep Bayesian active learning-to-rank with relative annotation for estimation of ulcerative colitis severity. Medical Image Anal. 97: 103262 (2024) - [c28]Yicheng Deng, Hideaki Hayashi, Hajime Nagahara:
Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting. FG 2024: 1-10 - [c27]Lorenzo S. Querol, Hajime Nagahara, Hideaki Hayashi:
CALICO: Confident Active Learning with Integrated Calibration. ICANN (1) 2024: 116-130 - [c26]Masahito Toba, Seiichi Uchida, Hideaki Hayashi:
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model. IJCNN 2024: 1-8 - [c25]Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura, Hajime Nagahara:
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition. WACV 2024: 6538-6548 - [i23]Yicheng Deng, Hideaki Hayashi, Hajime Nagahara:
Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting. CoRR abs/2403.15994 (2024) - [i22]Masahito Toba, Seiichi Uchida, Hideaki Hayashi:
Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model. CoRR abs/2404.09585 (2024) - [i21]Lorenzo S. Querol, Hajime Nagahara, Hideaki Hayashi:
CALICO: Confident Active Learning with Integrated Calibration. CoRR abs/2407.02335 (2024) - [i20]Yicheng Deng, Hideaki Hayashi, Hajime Nagahara:
SpotFormer: Multi-Scale Spatio-Temporal Transformer for Facial Expression Spotting. CoRR abs/2407.20799 (2024) - [i19]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. CoRR abs/2409.04952 (2024) - 2023
- [c24]Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida:
Analyzing Font Style Usage and Contextual Factors in Real Images. ICDAR (3) 2023: 331-347 - [i18]Hideaki Hayashi:
A Hybrid of Generative and Discriminative Models Based on the Gaussian-coupled Softmax Layer. CoRR abs/2305.05912 (2023) - [i17]Naoya Yasukochi, Hideaki Hayashi, Daichi Haraguchi, Seiichi Uchida:
Analyzing Font Style Usage and Contextual Factors in Real Images. CoRR abs/2306.12050 (2023) - 2022
- [c23]Takeaki Kadota
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. MIUA 2022: 609-622 - [i16]Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida:
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. CoRR abs/2208.03020 (2022) - 2021
- [j8]Hideaki Hayashi
A Neural Network Based on the Johnson SU Translation System and Related Application to Electromyogram Classification. IEEE Access 9: 154304-154317 (2021) - [j7]Shota Harada, Ryoma Bise, Hideaki Hayashi
Soft and self constrained clustering for group-based labeling. Medical Image Anal. 72: 102097 (2021) - [c22]Shohei Kubota, Hideaki Hayashi
Layer-Wise Interpretation of Deep Neural Networks using Identity Initialization. ICASSP 2021: 3945-3949 - [c21]Takato Otsuzuki, Heon Song, Seiichi Uchida
Meta-learning of Pooling Layers for Character Recognition. ICDAR (3) 2021: 188-203 - [c20]Hideaki Hayashi, Seiichi Uchida:
A Discriminative Gaussian Mixture Model with Sparsity. ICLR 2021 - [c19]Shota Harada, Ryoma Bise, Hideaki Hayashi
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. MICCAI (2) 2021: 471-480 - [i15]Shohei Kubota, Hideaki Hayashi, Tomohiro Hayase, Seiichi Uchida:
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization. CoRR abs/2102.13333 (2021) - [i14]Takato Otsuzuki, Heon Song, Seiichi Uchida, Hideaki Hayashi:
Meta-learning of Pooling Layers for Character Recognition. CoRR abs/2103.09528 (2021) - [i13]Shota Harada, Ryoma Bise, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida:
Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels. CoRR abs/2111.03815 (2021) - 2020
- [c18]Takato Otsuzuki, Hideaki Hayashi
Regularized Pooling. ICANN (2) 2020: 241-254 - [c17]Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida:
Handwriting Prediction Considering Inter-Class Bifurcation Structures. ICFHR 2020: 103-108 - [p1]Changhee Han, Leonardo Rundo
Infinite Brain MR Images: PGGAN-Based Data Augmentation for Tumor Detection. Neural Approaches to Dynamics of Signal Exchanges 2020: 291-303 - [i12]Takato Otsuzuki, Hideaki Hayashi, Yuchen Zheng, Seiichi Uchida:
Regularized Pooling. CoRR abs/2005.03709 (2020) - [i11]Masaki Yamagata, Hideaki Hayashi, Seiichi Uchida:
Handwriting Prediction Considering Inter-Class Bifurcation Structures. CoRR abs/2009.12743 (2020)
2010 – 2019
- 2019
- [j6]Shota Harada
Biosignal Generation and Latent Variable Analysis With Recurrent Generative Adversarial Networks. IEEE Access 7: 144292-144302 (2019) - [j5]Changhee Han
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. IEEE Access 7: 156966-156977 (2019) - [j4]Hideaki Hayashi
GlyphGAN: Style-consistent font generation based on generative adversarial networks. Knowl. Based Syst. 186 (2019) - [j3]Akira Furui
A Scale Mixture-Based Stochastic Model of Surface EMG Signals With Variable Variances. IEEE Trans. Biomed. Eng. 66(10): 2780-2788 (2019) - [c16]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: 3681-3684 - [c15]Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida:
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. ICDAR 2019: 407-412 - [c14]Joonho Lee, Hideaki Hayashi, Wataru Ohyama, Seiichi Uchida:
Page Segmentation using a Convolutional Neural Network with Trainable Co-Occurrence Features. ICDAR 2019: 1023-1028 - [c13]Ryoma Bise, Kentaro Abe, Hideaki Hayashi, Kiyohito Tanaka, Seiichi Uchida:
Efficient Soft-Constrained Clustering for Group-Based Labeling. MICCAI (5) 2019: 421-430 - [i10]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 abs/1903.12564 (2019) - [i9]Shota Harada, Hideaki Hayashi, Seiichi Uchida:
Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks. CoRR abs/1905.07136 (2019) - [i8]Joonho Lee, Kumar Shridhar, Hideaki Hayashi, Brian Kenji Iwana, Seokjun Kang, Seiichi Uchida:
ProbAct: A Probabilistic Activation Function for Deep Neural Networks. CoRR abs/1905.10761 (2019) - [i7]Hideaki Hayashi, Kohtaro Abe, Seiichi Uchida:
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks. CoRR abs/1905.12502 (2019) - [i6]Hideaki Hayashi, Seiichi Uchida:
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction. CoRR abs/1905.12871 (2019) - [i5]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 abs/1905.13456 (2019) - [i4]Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida:
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders. CoRR abs/1906.06142 (2019) - [i3]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 abs/1911.06009 (2019) - [i2]Hideaki Hayashi, Seiichi Uchida:
SDGM: Sparse Bayesian Classifier Based on a Discriminative Gaussian Mixture Model. CoRR abs/1911.06028 (2019) - [i1]Hideaki Hayashi, Taro Shibanoki, Toshio Tsuji:
A Neural Network Based on the Johnson SU Translation System and Related Application to Electromyogram Classification. CoRR abs/1912.04218 (2019) - 2018
- [c12]Hideaki Hayashi
A Trainable Multiplication Layer for Auto-correlation and Co-occurrence Extraction. ACCV (2) 2018: 414-430 - [c11]Shota Harada, Hideaki Hayashi, Seiichi Uchida:
Biosignal Data Augmentation Based on Generative Adversarial Networks. EMBC 2018: 368-371 - [c10]Changhee Han, Hideaki Hayashi, Leonardo Rundo
GAN-based synthetic brain MR image generation. ISBI 2018: 734-738 - 2017
- [j2]Hideaki Hayashi
A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution. IEEE Trans. Biomed. Eng. 64(11): 2672-2681 (2017) - [c9]Akira Furui
Variance distribution analysis of surface EMG signals based on marginal maximum likelihood estimation. EMBC 2017: 2514-2517 - [c8]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: 110-122 - 2015
- [j1]Hideaki Hayashi
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3021-3033 (2015) - [c7]Hideaki Hayashi, Yuichi Kurita, Toshio Tsuji
A non-Gaussian approach for biosignal classification based on the Johnson SU translation system. IWCIA 2015: 115-120 - [c6]Yuya Ogura, Hideaki Hayashi, Shota Nakashima, Zu Soh, Taro Shibanoki, Koji Shimatani, Akihito Takeuchi
A neural network based infant monitoring system to facilitate diagnosis of epileptic seizures. EMBC 2015: 5614-5617 - 2013
- [c5]Hideaki Hayashi, Keisuke Shima
Bioelectric signal classification using a recurrent probabilistic neural network with time-series discriminant component analysis. EMBC 2013: 5394-5397 - [c4]Ryuichi Seiyama, Takashi Yamaji, Hideaki Hayashi, Kazunori Takashima, Akira Mizuno:
Regeneration of diesel particulate filter using sliding discharge. IAS 2013: 1-5 - 2010
- [c3]Hideaki Hayashi, Kazunori Takashima, Akira Mizuno:
Collection of Diesel Exhaust Particle Using Gradient Force. IAS 2010: 1-3
2000 – 2009
- 2009
- [c2]Hideaki Hayashi, Yasuhiro Takasaki, Kazuki Kawahara, Tomoya Takenaka, Kazunori Takashima, Akira Mizuno, Moo Been Chang:
Electrostatic Charging and Precipitation of Diesel Soot. IAS 2009: 1-8 - 2008
- [c1]Hiroshi Umemoto, Hideaki Hayashi, Kazunori Takashima, Akira Mizuno:
Electrostatic Precipitators for Cleaning Diesel Exhaust. IAS 2008: 1-4
Coauthor Index
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last updated on 2024-10-10 21:15 CEST by the dblp team
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