Akira Hirabayashi

61 papers B 5Misc 9Journal 21Unranked 26
YearRankTypeTitle / Venue / Authors
2023 J jnl
Modal Interval Regression Based on Spline Quantile Regression.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Sai Yao, Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi
2023 J jnl
Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists.
SIAM Rev.
Laurent Condat, Daichi Kitahara, Andrés Contreras, Akira Hirabayashi
2022 J jnl
Image Super-Resolution via Generative Adversarial Networks Using Metric Projections onto Consistent Sets for Low-Resolution Inputs.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hiroya Yamamoto, Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi
2022 J jnl
Nonlinear Beamforming Based on Group-Sparsities of Periodograms for Phased Array Weather Radar.
IEEE Trans. Geosci. Remote. Sens.
Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio
2021 Misc conf
A Convex Penalty for Block-Sparse Signals with Unknown Structures.
ICASSP
Hiroki Kuroda, Daichi Kitahara, Akira Hirabayashi
2021 — conf
Multi-Contrast CSMRI Using Common Edge Structures with LiGME Model.
EUSIPCO
Daichi Kitahara, Rikako Kato, Hiroki Kuroda, Akira Hirabayashi
2021 J jnl
Multiclass Dictionary-Based Statistical Iterative Reconstruction for Low-Dose CT.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hiryu Kamoshita, Daichi Kitahara, Ken'ichi Fujimoto, Laurent Condat, Akira Hirabayashi
2020 — conf
Deep Neural Network Modeling of Distortion Stomp Box Using Spectral Features.
APSIPA
Kento Yoshimoto, Hiroki Kuroda, Daichi Kitahara, Akira Hirabayashi
2020 Misc conf
Determined Source Separation Using the Sparsity of Impulse Responses.
ICASSP
Yuki Takahashi, Daichi Kitahara, Koichiro Matsuura, Akira Hirabayashi
2020 — conf
Image Super-Resolution via Generative Adversarial Network Using an Orthogonal Projection.
EUSIPCO
Hiroya Yamamoto, Daichi Kitahara, Akira Hirabayashi
2020 Misc conf
Non-Griffin-Lim Type Signal Recovery from Magnitude Spectrogram.
ICASSP
Ryusei Nakatsu, Daichi Kitahara, Akira Hirabayashi
2020 — conf
Simultaneous Spline Quantile Regression Under Shape Constraints.
EUSIPCO
Daichi Kitahara, Ke Leng, Yuji Tezuka, Akira Hirabayashi
2019 Misc conf
A Convex Lifting Approach to Image Phase Unwrapping.
ICASSP
Laurent Condat, Daichi Kitahara, Akira Hirabayashi
2019 — conf
Automatic Fundus Image Segmentation for Diabetic Retinopathy Diagnosis by Multiple Modified U-Nets and SegNets.
APSIPA
Swathi Ananda, Daichi Kitahara, Akira Hirabayashi, K. R. Udaya Kumar Reddy
2019 B conf
Low-Dose CT Reconstruction with Multiclass Orthogonal Dictionaries.
ICIP
Hiryu Kamoshita, Taisuke Shibata, Daichi Kitahara, Ken'ichi Fujimoto, Akira Hirabayashi
2019 Misc conf
One-dimensional Edge-preserving Spline Smoothing for Estimation of Piecewise Smooth Functions.
ICASSP
Daichi Kitahara, Laurent Condat, Akira Hirabayashi
2019 — conf
Optimization-Based Fundus Image Decomposition for Diagnosis Support of Diabetic Retinopathy.
APSIPA
Daichi Kitahara, Swathi Ananda, Akira Hirabayashi
2018 J jnl
Acoustic Probing for Estimating the Storage Time and Firmness of Tomatoes and Mandarin Oranges.
CoRR
Hidetomo Kataoka, Takashi Ijiri, Kohei Matsumura, Jeremy White, Akira Hirabayashi
2018 — conf
Nonlinear Beamforming via Convex Optimization for Phased Array Weather Radar.
APSIPA
Daichi Kitahara, Maya Nakahara, Akira Hirabayashi, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio
2017 J jnl
Automatic spin measurements for pitched Baseballs via consumer-grade high-speed cameras.
Signal Image Video Process.
Takashi Ijiri, Atsushi Nakamura, Akira Hirabayashi, Wataru Sakai, Takeshi Miyazaki, Ryutaro Himeno
2017 Misc conf
Compressed sensing MRI using double sparsity with additional training images.
ICASSP
Chenmin Tang, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi
2017 — conf
Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar.
APSIPA
Ryosuke Kawami, Hidetomo Kataoka, Daichi Kitahara, Akira Hirabayashi, Takashi Ijiri, Shigeharu Shimamura, Hiroshi Kikuchi, Tomoo Ushio
2017 J jnl
Toward Large-Pixel Number High-Speed Imaging Exploiting Time and Space Sparsity.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Naoki Nogami, Akira Hirabayashi, Takashi Ijiri, Jeremy White
2016 — conf
2-Dimensional high-quality reconstruction of compressive measurements of phased array weather radar.
APSIPA
Ryosuke Kawami, Akira Hirabayashi, Nobuyuki Tanaka, Motoi Shibata, Takashi Ijiri, Shigeharu Shimamura, Hiroshi Kikuchi, Gwan Kim, Tomoo Ushio
2016 — conf
Acoustic probing to estimate freshness of tomato.
APSIPA
Hidetomo Kataoka, Takashi Ijiri, Jeremy White, Akira Hirabayashi
2016 — conf
CogKnife: Food recognition from their cutting sounds.
ICME Workshops
Takamichi Kojima, Takashi Ijiri, Jeremy White, Hidetomo Kataoka, Akira Hirabayashi
2016 — conf
High accuracy reconstruction algorithm for CS-MRI using SDMM.
APSIPA
Motoi Shibata, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi
2016 — conf
Sequential image completion for high-speed large-pixel number sensing.
EUSIPCO
Akira Hirabayashi, Naoki Nogami, Takashi Ijiri, Laurent Condat
2015 J jnl
High-Quality Recovery of Non-Sparse Signals from Compressed Sensing - Beyond
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Akira Hirabayashi, Norihito Inamuro, Aiko Nishiyama, Kazushi Mimura
2015 — conf
Improvement of pixel enhancement algorithm for high-speed camera imaging using 3D sparsity.
APSIPA
Naoki Nogami, Akira Hirabayashi, Jeremy White, Laurent Condat
2015 — conf
Improving the quality of compressed sensing MRI that exploits adjacent slice similarity.
APSIPA
Norihito Inamuro, Akira Hirabayashi
2015 — conf
Pixel enlargement in high-speed camera image acquisition based on 3D sparse representations.
SiPS
Akira Hirabayashi, Nogami Nogami, Jeremy White, Laurent Condat
2015 — conf
Super-resolution of positive spikes by Toeplitz low-rank approximation.
EUSIPCO
Laurent Condat, Akira Hirabayashi
2014 — conf
A method for single frame super resolution with inpainting based on sparse dictionary learning.
APSIPA
Takuya Umehara, Kazushi Mimura, Akira Hirabayashi
2014 — conf
Beyond ℓ1 norm minimization - High quality recovery of non-sparse compressible signals.
APSIPA
Aiko Nishiyama, Yuki Yamanaka, Akira Hirabayashi, Kazushi Mimura
2013 — conf
Approximate message passing algorithm for complex separable compressed imaging.
APSIPA
Akira Hirabayashi, Jumpei Sugimoto, Kazushi Mimura
2013 J jnl
Complex Approximate Message Passing Algorithm for Two-Dimensional Compressed Sensing.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Akira Hirabayashi, Jumpei Sugimoto, Kazushi Mimura
2013 J jnl
Consistent Sampling with Multi-, Pre- and Post-Filterings.
Int. J. Wavelets Multiresolution Inf. Process.
Akira Hirabayashi, Kil Hyun Kwon, Jaekyu Lee
2013 Misc conf
Recovery of nonuniformdirac pulses from noisy linear measurements.
ICASSP
Laurent Condat, Akira Hirabayashi, Yosuke Hironaga
2013 J jnl
Sampling Signals with Finite Rate of Innovation and Recovery by Maximum Likelihood Estimation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Akira Hirabayashi, Yosuke Hironaga, Laurent Condat
2013 Misc conf
Sampling and recovery of continuous sparse signals by maximum likelihood estimation.
ICASSP
Akira Hirabayashi, Yosuke Hironaga, Laurent Condat
2012 J jnl
Consistent Sampling and Signal Reconstruction in Noisy Under-Determined Case.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Akira Hirabayashi
2012 B conf
Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm.
ICIP
Akira Hirabayashi, Pier Luigi Dragotti
2012 Misc conf
Reconstruction of the sequence of Diracs from noisy samples via maximum likelihood estimation.
ICASSP
Akira Hirabayashi, Takuya Iwami, Shuji Maeda, Yosuke Hironaga
2012 J jnl
Sampling and Reconstruction of Periodic Piecewise Polynomials Using Sinc Kernel.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Akira Hirabayashi
2010 B conf
E-spline sampling for precise and robust line-edge extraction.
ICIP
Akira Hirabayashi, Pier Luigi Dragotti
2010 J jnl
Fast Surface Profiling by White-Light Interferometry Using Symmetric Spectral Optical Filter.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Akira Hirabayashi
2009 J jnl
Consistent Sampling and Efficient Signal Reconstruction.
IEEE Signal Process. Lett.
Akira Hirabayashi
2009 — conf
Joint estimation of offset parameters and high-resolution images via l1-norm minimization principle.
ICDSC
Akira Hirabayashi
2008 — conf
A study on interlaced sampling with unknown offsets.
EUSIPCO
Akira Hirabayashi, Laurent Condat
2007 — conf
A Compact Image Magnification Method with Preservation of Preferential Components.
ICIP (5)
Akira Hirabayashi, Laurent Condat
2007 J jnl
Consistent Sampling and Signal Recovery.
IEEE Trans. Signal Process.
Akira Hirabayashi, Michael Unser
2007 J jnl
Image Magnification by a Compact Method with Preservation of Preferential Components.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Akira Hirabayashi
2007 — conf
Torwards a general formulation for over-sampling and under-sampling.
EUSIPCO
Akira Hirabayashi, Laurent Condat
2006 — conf
Signal Reconstruction by Projection Filter with Preservation of Preferential Components.
KES (3)
Akira Hirabayashi, Takeshi Naito
2002 J jnl
Optimally generalizing neural networks with the ability to recover from single stuck-at r faults.
Syst. Comput. Jpn.
Hidekazu Iwaki, Hidemitsu Ogawa, Akira Hirabayashi
2001 J jnl
A family of projection learnings.
Syst. Comput. Jpn.
Akira Hirabayashi, Hidemitsu Ogawa
2001 J jnl
Error correcting memorization learning for noisy training examples.
Neural Networks
Akiko Nakashima, Akira Hirabayashi, Hidemitsu Ogawa
1999 B conf
A class of learning for optimal generalization.
IJCNN
Akira Hirabayashi, Gintaras Ogawa
1999 B conf
What can memorization learning do?
IJCNN
Akira Hirabayashi, Hidemitsu Ogawa
1996 — conf
Admissibility of memorization learning with respect to projection learning in the presence of noise.
ICNN
Akira Hirabayashi, Hidemitsu Ogawa