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ORCIDHiroaki Kudo
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2020 – today
- 2024
[c25]Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo:
A Separation Priority Pipeline for Single-Channel Speech Separation in Noisy Environments. ICASSP 2024: 12511-12515- [i1]Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Takashi Tsuboi, Yasuhiro Tanaka, Daisuke Nakatsubo, Satoshi Maesawa, Ryuta Saito, Masahisa Katsuno, Hiroaki Kudo:
Developing vocal system impaired patient-aimed voice quality assessment approach using ASR representation-included multiple features. CoRR abs/2408.12279 (2024) - 2023
- [c24]Shaoxiang Dang, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo:
Using Semi-supervised Learning for Monaural Time-domain Speech Separation with a Self-supervised Learning-based SI-SNR Estimator. INTERSPEECH 2023: 3759-3763 - 2021
- [j18]Hiroaki Kudo, Tetsuya Matsumoto, Kentaro Kutsukake
, Noritaka Usami:
Occurrence Prediction of Dislocation Regions in Photoluminescence Image of Multicrystalline Silicon Wafers Using Transfer Learning of Convolutional Neural Network. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(6): 857-865 (2021) - [j17]Miho Shinohara, Yukina Tamura, Shinya Mochiduki, Hiroaki Kudo, Mitsuho Yamada:
Occlusion Avoidance Behavior During Gazing at a Rim Drawn by Blue-Yellow Opposite Colors. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(6): 897-901 (2021) - [c23]Shaoxiang Dang, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi:
A Restriction Training Recipe for Speech Separation on Sparsely Mixed Speech. ICONIP (6) 2021: 736-743
2010 – 2019
- 2019
- [j16]Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto, Kentaro Kutsukake, Noritaka Usami:
Prediction of regions including dislocations in multicrystalline silicon photoluminescence image by transfer learning of convolutional neural network. Aust. J. Intell. Inf. Process. Syst. 15(2): 68-74 (2019) - [j15]Shinya Mochiduki, Ayaka Nunomura, Hiroaki Kudo, Mitsuho Yamada:
Eye Movement Measurement of Gazing at the Rim of a Column in Stereo Images with Yellow-Blue Equiluminance Random Dots. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(9): 1196-1204 (2019) - 2018
- [j14]Shinya Mochiduki, Reina Watanabe, Miyuki Suganuma, Hiroaki Kudo, Noboru Ohnishi, Mitsuho Yamada:
Study on Incongruence between Binocular Images when Gazing at the Rim of a Column with Equiluminance Random Dots. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(6): 884-891 (2018) - [c22]Daiki Watanabe, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Communication Support System of Smart Glasses for the Hearing Impaired. ICCHP (1) 2018: 225-232 - 2016
- [c21]Mitsuki Nishikiri, Takehiro Sakai, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi:
System Supporting Independent Walking of the Visually Impaired. ICCHP (2) 2016: 186-189 - [c20]Naofumi Ikeda, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Support System for Lecture Captioning Using Keyword Detection by Automatic Speech Recognition. ICCHP (2) 2016: 377-383 - 2014
- [c19]Koichiro Takeuchi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
A Smart-Phone Based System to Detect Warning Sound for Hearing Impaired People. ICCHP (2) 2014: 506-511 - [c18]Hiroki Takagi, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi, Noboru Ohnishi:
Interactive Color Correction of Display by Dichromatic User. ICONIP (3) 2014: 175-182 - [c17]Hiroki Takagi, Hiroaki Kudo, Tetsuya Matsumoto, Noboru Ohnishi, Yoshinori Takeuchi:
Measurement of confusion color pairs for dichromats in order to use applications supporting color vision deficiency. IJCNN 2014: 3458-3464 - 2013
- [j13]Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Informative patches sampling for image classification by utilizing bottom-up and top-down information. Mach. Vis. Appl. 24(5): 959-970 (2013) - [c16]Noboru Ohnishi, Tetsuya Matsumoto, Hiroaki Kudo, Yoshinori Takeuchi:
A system helping blind people to get character information in their surrounding environment. ASSETS 2013: 34:1-34:2 - 2012
- [j12]Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Incorporating Top-Down Guidance for Extracting Informative Patches for Image Classification. IEICE Trans. Inf. Syst. 95-D(3): 880-883 (2012) - [j11]Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Incorporating Contextual Information into Bag-of-Visual-Words Framework for Effective Object Categorization. IEICE Trans. Inf. Syst. 95-D(12): 3060-3068 (2012) - [c15]Nobuhito Tanaka, Yasunori Doi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
A System Helping the Blind to Get Merchandise Information. ICCHP (2) 2012: 596-598 - [c14]Hiroaki Kudo, Takuya Kume, Noboru Ohnishi:
Effect of Luminance Gradients in Measurement of Differential Limen. ICONIP (5) 2012: 42-49 - [c13]Shuang Bai, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi, Yoshinori Takeuchi:
Scene classification based on category-specific representations created through prototype feature selection. IVCNZ 2012: 174-179 - 2011
- [j10]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis. Genet. Program. Evolvable Mach. 12(1): 49-77 (2011) - 2010
- [j9]Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Multi-Objective Genetic Programming with Redundancy-Regulations for Automatic Construction of Image Feature Extractors. IEICE Trans. Inf. Syst. 93-D(9): 2614-2625 (2010) - [j8]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Evaluations of Feature Extraction Programs Synthesized by Redundancy-removed Linear Genetic Programming: A Case Study on the Lawn Weed Detection Problem. Inf. Media Technol. 5(2): 566-576 (2010) - [j7]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Evaluations of Feature Extraction Programs Synthesized by Redundancy-removed Linear Genetic Programming: A Case Study on the Lawn Weed Detection Problem. J. Inf. Process. 18: 164-174 (2010)
2000 – 2009
- 2009
- [j6]Ukrit Watchareeruetai, Tetsuya Matsumoto, Noboru Ohnishi, Hiroaki Kudo, Yoshinori Takeuchi:
Acceleration of Genetic Programming by Hierarchical Structure Learning: A Case Study on Image Recognition Program Synthesis. IEICE Trans. Inf. Syst. 92-D(10): 2094-2102 (2009) - [c12]Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Construction of Image Feature Extractors Based on Multi-objective Genetic Programming with Redundancy Regulations. SMC 2009: 1328-1333 - [p1]Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching. Foundations of Computational Intelligence (4) 2009: 355-375 - 2008
- [c11]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Transformation of redundant representations of linear genetic programming into canonical forms for efficient extraction of image features. IEEE Congress on Evolutionary Computation 2008: 1996-2003 - 2007
- [j5]Hui Cao, Noboru Ohnishi, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo:
Gauss-Newton Particle Filter. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(6): 1235-1239 (2007) - [j4]Hui Cao, Noboru Ohnishi, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo:
Retrieval-Combination Approach to Estimate 3D Human Pose from Monocular Image. Inf. Media Technol. 2(3): 723-733 (2007) - [c10]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Modified Lawn Weed Detection: Utilization of Edge-Color Based SVM and Grass-Model Based Blob Inspection Filterbank. ICONIP (2) 2007: 30-39 - [c9]Md. Khayrul Bashar, Keiji Noda, Noboru Ohnishi, Hiroaki Kudo, Tetsuya Matsumoto, Yoshinori Takeuchi:
Wavelet-Based Multiresolution Features for Detecting Duplications in Images. MVA 2007: 264-267 - [c8]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
A Lawn Weed Detection in Winter Season Based on Color Information. MVA 2007: 524-527 - 2006
- [j3]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Computer vision based methods for detecting weeds in lawns. Mach. Vis. Appl. 17(5): 287-296 (2006) - 2005
- [j2]Md. Khayrul Bashar, Noboru Ohnishi, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Kiyoshi Agusa:
Image retrieval by pattern categorization using wavelet domain perceptual features with LVQ neural network. Pattern Recognit. Lett. 26(15): 2315-2335 (2005) - 2004
- [c7]Yusuke Katayama, Masanori Ito, Allan Kardec Barros, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi, Toshiharu Mukai:
Closely Arranged Directional Microphone for Source Separation: Effectiveness in Reduction of the Number of Taps and Preventing Factors. ICA 2004: 129-135 - [c6]Kento Nishibori, Jinji Chen, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Determining Correspondences Between Sensory and Motor Signals. PCM (1) 2004: 532-539 - 2003
- [c5]Md. Khayrul Bashar, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Unsupervised Texture Segmentation via Wavelet-based Locally Orderless Images (WLOIs) and SOM. Computer Graphics and Imaging 2003: 279-284 - 2000
- [c4]Jinji Chen, Toshiharu Mukai, Yoshinori Takeuchi, Hiroaki Kudo, Tsuyoshi Yamamura, Noboru Ohnishi:
Finding correspondence between visual and auditory events based on perceptual grouping laws across different modalities. SMC 2000: 242-247
1990 – 1999
- 1999
- [c3]Hiroaki Kudo, Tsuyoshi Yamamura, Noboru Ohnishi, Shin Kobayashi, Noboru Sugie:
A Neural Network Model of Dynamically Fluctuating Perception of Necker Cube as well as Dot Patterns. AAAI/IAAI 1999: 194-199 - 1998
- [c2]Tsuyoshi Yamamura, Shin Kobayashi, Isao Horiba, Noboru Sugie, Hiroaki Kudo, Noboru Ohnishi:
A Neural Network Model of Dynamical Grouping Process. ICONIP 1998: 319-322 - [c1]Hiroaki Kudo, Masayuki Umeda, Isao Horiba, Noboru Sugie, Tsuyoshi Yamamura, Noboru Ohnishi:
Correspondence Procedure for Recovery of Rigid Structure from Orthographically Projected Optical Flow - A computational Aspect of Kinetic Depth Effect. ICONIP 1998: 401-404 - 1997
- [j1]Hiroaki Kudo, Kenya Uomori, Mitsuho Yamada, Noboru Ohnishi, Noboru Sugie:
Saccade Mechanism Based on Processes for Depth Estimation and Incongruity Detection between Binocular Retinal Images - Analysis of Gazing Positions and Inter-saccade Intervals -. J. Robotics Mechatronics 9(2): 111-120 (1997)
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last updated on 2024-09-30 00:59 CEST by the dblp team
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