Akira Hirabayashi

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 28

Top Topics

Quantile Regression

Image Decomposition

Norm Minimization

Top Venues

IEICE Trans. Fundam. Electron. Commun. Comput. Sci.

Publications

Laurent Condat, Daichi Kitahara, Andrés Contreras, Akira Hirabayashi
Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists. SIAM Rev. 65 (2) (2023)
Sai Yao, Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi
Modal Interval Regression Based on Spline Quantile Regression. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106 (2) (2023)
Hiroya Yamamoto, Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi
Image Super-Resolution via Generative Adversarial Networks Using Metric Projections onto Consistent Sets for Low-Resolution Inputs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (4) (2022)
Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio
Nonlinear Beamforming Based on Group-Sparsities of Periodograms for Phased Array Weather Radar. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Daichi Kitahara, Rikako Kato, Hiroki Kuroda, Akira Hirabayashi
Multi-Contrast CSMRI Using Common Edge Structures with LiGME Model. EUSIPCO (2021)
Hiroki Kuroda, Daichi Kitahara, Akira Hirabayashi
A Convex Penalty for Block-Sparse Signals with Unknown Structures. ICASSP (2021)
Hiryu Kamoshita, Daichi Kitahara, Ken'ichi Fujimoto, Laurent Condat, Akira Hirabayashi
Multiclass Dictionary-Based Statistical Iterative Reconstruction for Low-Dose CT. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (4) (2021)
Kento Yoshimoto, Hiroki Kuroda, Daichi Kitahara, Akira Hirabayashi
Deep Neural Network Modeling of Distortion Stomp Box Using Spectral Features. APSIPA (2020)
Yuki Takahashi, Daichi Kitahara, Koichiro Matsuura, Akira Hirabayashi
Determined Source Separation Using the Sparsity of Impulse Responses. ICASSP (2020)
Hiroya Yamamoto, Daichi Kitahara, Akira Hirabayashi
Image Super-Resolution via Generative Adversarial Network Using an Orthogonal Projection. EUSIPCO (2020)
Daichi Kitahara, Ke Leng, Yuji Tezuka, Akira Hirabayashi
Simultaneous Spline Quantile Regression Under Shape Constraints. EUSIPCO (2020)
Ryusei Nakatsu, Daichi Kitahara, Akira Hirabayashi
Non-Griffin-Lim Type Signal Recovery from Magnitude Spectrogram. ICASSP (2020)
Daichi Kitahara, Swathi Ananda, Akira Hirabayashi
Optimization-Based Fundus Image Decomposition for Diagnosis Support of Diabetic Retinopathy. APSIPA (2019)
Hiryu Kamoshita, Taisuke Shibata, Daichi Kitahara, Ken'ichi Fujimoto, Akira Hirabayashi
Low-Dose CT Reconstruction with Multiclass Orthogonal Dictionaries. ICIP (2019)
Daichi Kitahara, Laurent Condat, Akira Hirabayashi
One-dimensional Edge-preserving Spline Smoothing for Estimation of Piecewise Smooth Functions. ICASSP (2019)
Swathi Ananda, Daichi Kitahara, Akira Hirabayashi, K. R. Udaya Kumar Reddy
Automatic Fundus Image Segmentation for Diabetic Retinopathy Diagnosis by Multiple Modified U-Nets and SegNets. APSIPA (2019)
Laurent Condat, Daichi Kitahara, Akira Hirabayashi
A Convex Lifting Approach to Image Phase Unwrapping. ICASSP (2019)
Daichi Kitahara, Maya Nakahara, Akira Hirabayashi, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio
Nonlinear Beamforming via Convex Optimization for Phased Array Weather Radar. APSIPA (2018)
Hidetomo Kataoka, Takashi Ijiri, Kohei Matsumura, Jeremy White, Akira Hirabayashi
Acoustic Probing for Estimating the Storage Time and Firmness of Tomatoes and Mandarin Oranges. CoRR (2018)
Naoki Nogami, Akira Hirabayashi, Takashi Ijiri, Jeremy White
Toward Large-Pixel Number High-Speed Imaging Exploiting Time and Space Sparsity. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (6) (2017)
Chenmin Tang, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi
Compressed sensing MRI using double sparsity with additional training images. ICASSP (2017)
Takashi Ijiri, Atsushi Nakamura, Akira Hirabayashi, Wataru Sakai, Takeshi Miyazaki, Ryutaro Himeno
Automatic spin measurements for pitched Baseballs via consumer-grade high-speed cameras. Signal Image Video Process. 11 (7) (2017)
Ryosuke Kawami, Hidetomo Kataoka, Daichi Kitahara, Akira Hirabayashi, Takashi Ijiri, Shigeharu Shimamura, Hiroshi Kikuchi, Tomoo Ushio
Fast high-quality three-dimensional reconstruction from compressive observation of phased array weather radar. APSIPA (2017)
Hidetomo Kataoka, Takashi Ijiri, Jeremy White, Akira Hirabayashi
Acoustic probing to estimate freshness of tomato. APSIPA (2016)
Takamichi Kojima, Takashi Ijiri, Jeremy White, Hidetomo Kataoka, Akira Hirabayashi
CogKnife: Food recognition from their cutting sounds. ICME Workshops (2016)
Motoi Shibata, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi
High accuracy reconstruction algorithm for CS-MRI using SDMM. APSIPA (2016)
Akira Hirabayashi, Naoki Nogami, Takashi Ijiri, Laurent Condat
Sequential image completion for high-speed large-pixel number sensing. EUSIPCO (2016)
Ryosuke Kawami, Akira Hirabayashi, Nobuyuki Tanaka, Motoi Shibata, Takashi Ijiri, Shigeharu Shimamura, Hiroshi Kikuchi, Gwan Kim, Tomoo Ushio
2-Dimensional high-quality reconstruction of compressive measurements of phased array weather radar. APSIPA (2016)
Norihito Inamuro, Akira Hirabayashi
Improving the quality of compressed sensing MRI that exploits adjacent slice similarity. APSIPA (2015)
Naoki Nogami, Akira Hirabayashi, Jeremy White, Laurent Condat
Improvement of pixel enhancement algorithm for high-speed camera imaging using 3D sparsity. APSIPA (2015)
Akira Hirabayashi, Nogami Nogami, Jeremy White, Laurent Condat
Pixel enlargement in high-speed camera image acquisition based on 3D sparse representations. SiPS (2015)
Akira Hirabayashi, Norihito Inamuro, Aiko Nishiyama, Kazushi Mimura
Norm Minimization -. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (9) (2015)
Laurent Condat, Akira Hirabayashi
Super-resolution of positive spikes by Toeplitz low-rank approximation. EUSIPCO (2015)
Aiko Nishiyama, Yuki Yamanaka, Akira Hirabayashi, Kazushi Mimura
Beyond ℓ1 norm minimization - High quality recovery of non-sparse compressible signals. APSIPA (2014)
Takuya Umehara, Kazushi Mimura, Akira Hirabayashi
A method for single frame super resolution with inpainting based on sparse dictionary learning. APSIPA (2014)
Akira Hirabayashi, Yosuke Hironaga, Laurent Condat
Sampling and recovery of continuous sparse signals by maximum likelihood estimation. ICASSP (2013)
Laurent Condat, Akira Hirabayashi, Yosuke Hironaga
Recovery of nonuniformdirac pulses from noisy linear measurements. ICASSP (2013)
Akira Hirabayashi, Kil Hyun Kwon, Jaekyu Lee
Consistent Sampling with Multi-, Pre- and Post-Filterings. Int. J. Wavelets Multiresolution Inf. Process. 11 (1) (2013)
Akira Hirabayashi, Yosuke Hironaga, Laurent Condat
Sampling Signals with Finite Rate of Innovation and Recovery by Maximum Likelihood Estimation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (10) (2013)
Akira Hirabayashi, Jumpei Sugimoto, Kazushi Mimura
Approximate message passing algorithm for complex separable compressed imaging. APSIPA (2013)
Akira Hirabayashi, Jumpei Sugimoto, Kazushi Mimura
Complex Approximate Message Passing Algorithm for Two-Dimensional Compressed Sensing. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2013)
Akira Hirabayashi, Pier Luigi Dragotti
Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm. ICIP (2012)
Akira Hirabayashi, Takuya Iwami, Shuji Maeda, Yosuke Hironaga
Reconstruction of the sequence of Diracs from noisy samples via maximum likelihood estimation. ICASSP (2012)
Akira Hirabayashi
Sampling and Reconstruction of Periodic Piecewise Polynomials Using Sinc Kernel. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (1) (2012)
Akira Hirabayashi
Consistent Sampling and Signal Reconstruction in Noisy Under-Determined Case. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2012)
Akira Hirabayashi, Pier Luigi Dragotti
E-spline sampling for precise and robust line-edge extraction. ICIP (2010)
Akira Hirabayashi
Fast Surface Profiling by White-Light Interferometry Using Symmetric Spectral Optical Filter. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2) (2010)
Akira Hirabayashi
Joint estimation of offset parameters and high-resolution images via l1-norm minimization principle. ICDSC (2009)
Akira Hirabayashi
Consistent Sampling and Efficient Signal Reconstruction. IEEE Signal Process. Lett. 16 (12) (2009)
Akira Hirabayashi, Laurent Condat
A study on interlaced sampling with unknown offsets. EUSIPCO (2008)
Akira Hirabayashi, Michael Unser
Consistent Sampling and Signal Recovery. IEEE Trans. Signal Process. 55 (8) (2007)
Akira Hirabayashi, Laurent Condat
A Compact Image Magnification Method with Preservation of Preferential Components. ICIP (5) (2007)
Akira Hirabayashi
Image Magnification by a Compact Method with Preservation of Preferential Components. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (8) (2007)
Akira Hirabayashi, Laurent Condat
Torwards a general formulation for over-sampling and under-sampling. EUSIPCO (2007)
Akira Hirabayashi, Takeshi Naito
Signal Reconstruction by Projection Filter with Preservation of Preferential Components. KES (3) (2006)
Hidekazu Iwaki, Hidemitsu Ogawa, Akira Hirabayashi
Optimally generalizing neural networks with the ability to recover from single stuck-at r faults. Systems and Computers in Japan 33 (7) (2002)
Akiko Nakashima, Akira Hirabayashi, Hidemitsu Ogawa
Error correcting memorization learning for noisy training examples. Neural Networks 14 (1) (2001)
Akira Hirabayashi, Hidemitsu Ogawa
A family of projection learnings. Systems and Computers in Japan 32 (5) (2001)
Akira Hirabayashi, Gintaras Ogawa
A class of learning for optimal generalization. IJCNN (1999)
Akira Hirabayashi, Hidemitsu Ogawa
What can memorization learning do? IJCNN (1999)
Akira Hirabayashi, Hidemitsu Ogawa
Admissibility of memorization learning with respect to projection learning in the presence of noise. ICNN (1996)