Researchers DB @ TDU
Google Scholar Citations
Researchmap
ResearchGate
Akinori HIDAKA
Artificial Intelligence Laboratory
Cource of Intelligent Information Design, Division of Information Systems and Design
School of Science and Engineering, Tokyo Denki University
Ishizaka, Hatoyama-machi, Hiki-gun, Saitama-ken, 350-0394, Japan
〒350-0394 埼玉県比企郡鳩山町石坂　東京電機大学　理工学部
情報システムデザイン学系　 知能情報デザインコース　 人工知能研究室
---------------------------------------------------------------------
E-mail to:
hidaka."myfirstname"@mail.dendai.ac.jp
(Please replace "myfirstname" by my first name in small letters)
このメールアドレスに特定電子メール（広告宣伝等）を送信することを禁止します


Personal History
  • Japanese
  • Male
    		•
    Biography
  • Akinori Hidaka received the B.Sci degree from Ibaraki University in 2004, and the M.Eng. and Ph.D. in Eng. degree from the University of Tsukuba, in 2006 and 2009, respectively. He is currently an associate professor of Tokyo Denki University, in Japan. His current research interests include computer vision based on statistical pattern recognition, especially object detection, tracking, generic object recognition and Deep Learning. He is a member of IEICE, IEEE and ISCIE.
  • 2004年3月，茨城大学理学部卒業． 2006年3月，筑波大学大学院システム情報工学研究科　修士（工学）取得． 2009年3月，筑波大学大学院システム情報工学研究科　博士（工学）取得． 現在は東京電機大学理工学部理学系准教授． パターン認識と機械学習に基づいたコンピュータビジョン研究に従事． 主な研究関心事は，物体検出，追跡，一般物体認識，ディープラーニングなど． IEICE, IEEE, ISCIE会員．
    • Academic Background
    Doctor 2006-2009 University of Tsukuba Department of Computer Science, Systems and Information Engineering
    Master 2004-2006 University of Tsukuba Department of Computer Science, Systems and Information Engineering
    Bachelor 2000-2004 Ibaraki University Department of Mathematical Science, Faculty of Science
    Jobs
    Associate professor Apr. 2018 - Tokyo Denki Unibversity School of Science and Engineering
    Assistant professor Apr. 2009 - Mar. 2018 Tokyo Denki Unibversity School of Science and Engineering
    Academic Society
  • The Institute of Electronics, Information and Communication Engineers (IEICE) Information and Systems Society
  • IEEE Computational Intelligence Society
  • The Institute of Systems, Control and Information Engineers (ISCIE)
    		•


    Educations
    Subjects
    人工知能 Artificial Intelligence Basics of artificial intelligence and machine learning
    深層学習 Deep Learning Basics of deep neural networks
    人工知能（大学院） Advanced Cource on Artificial Intelligence Advanced topics in artificial intelligence and machine learning
    画像理解特論（大学院） Advanced Cource on Image Understanding Advanced topics in image recognition, translation, and generation
    C言語プログラミング Programming C Basics of C language programming
    Pythonプログラミング Python Programming Basics of python programming
    輪講Ａ，Ｂ Seminar A, B
    卒業研究Ⅰ，Ⅱ Undergraduate Research I, II Graduate study which focuses image recognition (especially object detection/tracking)
    Subjects (Past)
    数理情報学入門 Introduction to Mathematical Informatics Introduction to mathematical informatics and computer science (omnibus lectures)
    離散数学 Discrete Mathematics Discrete mathematics including set theory, propositional logic, predicate logic, tree, mathematical induction and recursive
    数理プログラミングⅠ，Ⅱ Programming for Mathematical Informatics I, II Practical C language programming
    数理情報学基礎演習 Basic Exercises in Mathematical Informatics Exercise of Matlab programming, which focuses to fractal or cellular automata
    数理情報学応用演習 Advanced Exercises in Mathematical Informatics Exercise of Matlab programming, which focuses to image processing and facial image recognition
    最適化法 Introduction to Optimization Basics of numerical optimization
    画像処理 Image Processing and Computer Graphics Basics of image processing and cumputer graphics
    数学基礎 Fundamental Mathematics Introduction to fundamental mathematics
    フレッシュマンゼミＡ Seminar for Freshman


    Publications
    Books
  • 栗田多喜夫，日高章理，``統計的パターン認識と判別分析''，シリーズ情報科学における確率モデル1，コロナ社，ISBN: 978-4-339-02831-7，2019年1月15日．[書籍サポートページ]
    		•
    解説論文
  • 我妻伸彦，日高章理，``ヒト注意選択を予測する計算論的モデルと脳視覚皮質対応''，計測と制御, 2023, 62巻, 10号, pp. 593-598，2023年10月17日．doi: 10.11499/sicejl.62.593．
    		•
    Journals (with peer review)
  • Nobuhiko Wagatsuma, Akinori Hidaka and Hiroshi Tamura, ``Analysis based on neural representation of natural object surfaces to elucidate the mechanisms of a trained AlexNet model,'' Frontiers in Computational Neuroscience, 16:979258, Sep. 30, 2022. doi: 10.3389/fncom.2022.979258.
  • Nobuhiko Wagatsuma, Akinori Hidaka and Hiroshi Tamura, ``Correspondence between monkey visual cortices and layers of a saliency map model based on a deep convolutional neural network for representations of natural images,'' eNeuro, ENEURO.0200-20.2020, Nov. 24, 2020. DOI:10.1523/ENEURO.0200-20.2020.
  • Akinori Hidaka, Kenji Watanabe and Takio Kurita, ``Sparse discriminant analysis based on estimation of posterior probabilities,'' Journal of Applied Statistics, DOI:10.1080/02664763.2019.1613348, 25 pages, May, 9, 2019.
  • Hiroyuki Fujioka, Jarupat Sawangphol, Shinya Anraku, Nobuyoshi Miyamoto, Hitoshi Kino, Akinori Hidaka, ``Detecting Nanosheet Objects from Noisy CLSM Images Using Deep Learning Approach,'' Key Engineering Materials, Vol.804, pp.11-15, May, 2019.
  • Akinori Hidaka and Takio Kurita, ``Data Visualization for Deep Neural Networks Based on Interlayer Canonical Correlation Analysis,'' Transactions of ISCIE, Vol. 31, No. 1, pp. 10-20, Jan. 2018. DOI:10.5687/iscie.31.10.
  • Akinori Hidaka and Takio Kurita, ``Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine,'' IEICE TRANSACTIONS on Information and Systems, Vol.E99-D, No.11, pp. 2734-2744, Nov. 1, 2016.
  • Akinori Hidaka and Takio Kurita, ``Randomized and Dimension Reduced Radial Basis Features for Support Vector Machine,'' Transactions of ISCIE, Vol. 29, No. 1, pp. 1-8, Jan. 15, 2016.
  • Kenji Watanabe, Akinori Hidaka, Nobuyuki Otsu and Takio Kurita, ``Automatic Analysis of Composite Physical Signals Using Non-Negative Factorization and Information Criterion,'' PLoS ONE, vol. 7, no. 3, e32352 (9 pages), Mar. 2012.
  • 松川徹，日高章理，栗田多喜夫，``複数人物の顔方向・表情認識に基づく映像中の観客の満足度の自動定量評価''，情報処理学会論文誌，Vol. 50，No. 12，pp. 3222-3232，2009年12月．
  • Akinori Hidaka, Kenji Nishida and Takio Kurita, ``Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features,'' IEICE TRANSACTIONS on Information and Systems, Vol.E91-D, No.8, pp. 2163-2170, 2008.
    • Proceedings of International Conferences, Workshops, Symposiums (with peer review)
  • Yuning Shi and Akinori Hidaka, ``Improvement in On-road Object Detection Using YOLOv7 with High-order Spatial Interaction and Attention Mechanism,'' Proceedings of 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), pp. 249-258, Nov. 2-4, 2023. DOI:10.1109/CyberC58899.2023.00047
  • Kazuma Ito, Nobuhiko Wagatsuma, and Akinori Hidaka, ``Layer-Specific Characteristics of Artificial Representations in the Trained AlexNet Model,'' Proceedings of 2023 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), Sep. 21-23, 2023. DOI:10.1109/ICETCI58599.2023.10331607.
  • Yuning Shi and Akinori Hidaka, ``Attention-YOLOX: Improvement in On-Road Object Detection by Introducing Attention Mechanisms to YOLOX,'' Proceedings of 2022 International Symposium on Computing and Artificial Intelligence (ISCAI), Dec. 16-18, 2022. DOI:10.1109/ISCAI58869.2022.00012
  • Nozomu Suzuki, Fujio Miyawaki and Akinori Hidaka, ``Improving Accuracy and Real-Time Performance of Recognition Methods for Surgical Procedure Recognition'', The 28th International Workshop on Frontiers of Computer Vision (IW-FCV2022), PS2-11 (15 pages), Feb. 2022.
  • Ryunosuke Ikeda and Akinori Hidaka, ``Improvement of On-Road Object Detection using Inter-Region and Intra-Region Attention for Faster R-CNN'', Frontiers of Computer Vision. IW-FCV 2022. Communications in Computer and Information Science, vol 1578. Springer, Cham. DOI:10.1007/978-3-031-06381-7_15, May, 17, 2022.
  • Shota Kishi, Nozomu Suzuki, Shota Tsuyuki, Takio Kurita, Fujio Miyawaki, and Akinori Hidaka, ``Convolutional Neural Network based on Temporal Pose Features for Surgical Procedure Recognition,'' Proceedings of the 52nd ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'20), pp. 60-64, Osaka, Oct. 29-30, 2020. DOI:10.5687/sss.2021.60.
  • Koshiro Nagano, Yoshiharu Mukouyama, Takashi Nishimura, Hiroyuki Fujioka, Kenji Watanabe, Takio Kurita, and Akinori Hidaka, ``Noise Reduction of SEM Images using U-net with SSIM Loss Function,'' Proceedings of the 52nd ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'20), pp. 65-72, Osaka, Oct. 29-30, 2020. DOI:10.5687/sss.2021.65.
  • Zhenyu Xie, Hiroyuki Fujioka, Akinori Hidaka, Hiroyuki Kano, ``Modeling and Manipulating Dynamic Font-based Hairy Brush Characters using Control-Theoretic B-spline Approach,'' The 21st IFAC World Congress, Volume 53, Issue 2, pp. 4731-4736, July 2020.
  • Hiroyuki Fujioka, Jarupat Sawangphol, Shinya Anraku, Nobuyoshi Miyamoto, Akinori Hidaka, Hiroyuki Kano, ``Understanding Deformation Motion of Colloidal Nanosheets from CLSM Images using Deep Learning-based Approach,'' ICARCV 2018, pp. 192-197, Nov. 2018.
  • Hiroyuki Fujioka, Wenli Zhu, Akinori Hidaka and Hiroyuki Kano, ``Reconstructing Dynamic Font-based Chinese Characters using Support Vector Machine,'' 2017 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2408-2413, Oct. 2017.
  • Akinori Hidaka and Takio Kurita, ``Consecutive Dimensionality Reduction by Canonical Correlation Analysis for Visualization of Convolutional Neural Networks,'' Proceedings of The 48th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'16), Fukuoka, pp. 160-167, Nov. 4-5, 2016.
  • Akinori Hidaka and Takio Kurita, ``Randomized and Dimension Reduced Kernel Generation for Support Vector Machine,'' Proceedings of the 46th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'14), pp. 191-196, Kyoto, Nov. 1-2, 2014.
  • Akinori Hidaka and Takio Kurita, ``Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model,'' IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition (SPR 2014) and Structural and Syntactic Pattern Recognition (SSPR 2014), pp. 133-142, Joensuu, Finland, Aug. 20-22, 2014.
  • Takio Kurita, Kenji Watanabe and Akinori Hidaka, ``Sparse Logistic Discriminant Analysis,'' Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), pp. 3003-3008, Manchester, United Kingdom, Oct. 13-16, 2013.
  • Akinori Hidaka and Takio Kurita, ``Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression,'' Proceedings of Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012), pp. 648-656, Hiroshima, Japan, Nov. 7-9, 2012.
  • Akinori Hidaka and Takio Kurita, ``Discriminant Kernels based Support Vector Machine,'' Proceedings of The First Asian Conference on Pattern Recognition (ACPR 2011), pp. 159-163, Beijing, China, Nov. 28-30, 2011.
  • Akinori Hidaka and Takio Kurita, ``Co-occurrence of Intensity and Gradient Features for Object Detection,'' Proceedings of The 16th International Conference on Neural Information Processing (ICONIP 2009), No. 306, Tahiland, Dec. 1-5, 2009 (Lecture Notes in Computer Science, Neural Information Processing, Volume 5864/2009, pp. 38-46, 2009).
  • Tetsu Matsukawa, Akinori Hidaka and Takio Kurita, ``Classification of Spectators' State in Video Sequences by Voting of Facial Expressions and Face Directions,'' Proceedings of The Eleventh IAPR Conference on Machine Vision Applications (MVA2009), Japan, May 20-22, 2009.
  • Akinori Hidaka and Takio Kurita, ``Non-Neighboring Rectangular Feature Selection using Particle Swarm Optimization,'' Proceedings of The 19th International Conference on Pattern Recognition (ICPR2008), Tampa, Florida, USA, Dec. 2008.
  • Akinori Hidaka and Takio Kurita, Nobuyuki Otsu, ``Object Detection by Selective Integration of HLAC Mask Features,'' Proceedings of The 2008 ECSIS Symposium on Bio-inspired, Learning, and Intelligent Systems for Security (BLISS2008), pp. 46-50, Edinburgh, Scotland, UK, Aug. 2008.
  • Akinori Hidaka and Takio Kurita, ``Fast Training Algorithm by Particle Swarm Optimization and Random Candidate Selection for Rectangular Feature Based Boosted Detector,'' Proceedings of IEEE World Congress on Computational Intelligence (WCCI2008), pp. 1164-1170, Hong Kong, China, Jun. 2008.
  • Kenji Watanabe, Akinori Hidaka and Takio Kurita, ``Automatic Factorization of Biological Signals by Using Boltzmann Non-negative Matrix Factorization,'' Proceedings of IEEE World Congress on Computational Intelligence (WCCI2008), pp. 1123-1129, Hong Kong, China, Jun. 2008.
  • Akinori Hidaka and Takio Kurita, ``Fast Training Algorithm by Particle Swarm Optimization for Rectangular Feature Based Boosted Detector,'' Proceedings of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2008), pp. 88-93, Beppu, Oita, Japan, Jan. 2008.
  • Takuya Kobayashi, Akinori Hidaka and Takio Kurita, ``Comparison of linear feature spaces for classification of face sequences in movie videos,'' Proceedings of 14th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV2008), pp. 70-75 Jan. Beppu, Oita, Japan, 2008.
  • Takuya Kobayashi, Akinori Hidaka and Takio Kurita, ``Selection of Histograms of Oriented Gradients Features for Pedestrian Detection,'' Proceedings of The 14th International Conference on Neural Information Processing (ICONIP 2007), WAB-2, Kitakyushu, Japan, Nov. 2007 (Lecture Notes in Computer Science, Neural Information Processing, Volume 4985/2008, pp. 598-607, 2008).
  • Takio Kurita, Tatsuya Hosoi and Akinori Hidaka, ``Principal Component Analysis of Multi-view Images for Viewpoint-Independent Face Recognition,'' Proceedings of IEEE International Conference on Video and Signal Based Surveillance (AVSS 2006), No. 55, Sydney, Australia, Nov. 2006.
  • Akinori Hidaka, Kenji Nishida and Takio Kurita, ``Face Tracking by Maximizing Classification Score of Face Detector Based on Rectangle Features,'' Proceedings of 2006 IEEE International Conference on Computer Vision Systems (ICVS2006), No. 48, New York, NY, USA, Jan. 2006.
    		•
    Presentations (No peer review)
  • 我妻伸彦，日高章理，田村弘，“サル視覚皮質と深層畳み込みニューラルネットワークに基づく物体識別モデルの画像情報表現”，電子情報通信学会ニューロコンピューティング研究会，信学技報，vol. 121，no. 338，NC2021-36，pp. 30-33，2022年1月．
  • Xie Zhenyu, Hiroyuki Fujioka, Nobuyoshi Miyamoto, Shinya Anraku, Akinori Hidaka and Hiroyuki Kano, ``Visualizing Dynamic Deformation Motion of Colloidal Nanosheet from CLSM Images Using Two-Dimensional Warping,'' Abstracts of the 52nd ISCIE SSS'20, pp. 43-44, October 29-30, 2020.
  • Shota Kishi, Nozomu Suzuki, Shota Tsuyuki, Takio Kurita, Fujio Miyawaki, and Akinori Hidaka, ``Convolutional Neural Network based on Temporal Pose Features for Surgical Procedure Recognition,'' Abstracts of the 52nd ISCIE SSS'20, pp. 45-46, October 29-30, 2020.
  • Koshiro Nagano, Yoshiharu Mukouyama, Takashi Nishimura, Hiroyuki Fujioka, Kenji Watanabe, Takio Kurita, and Akinori Hidaka, ``Noise Reduction of SEM Images using U-net with SSIM Loss Function,'' Abstracts of the 52nd ISCIE SSS'20, pp. 47-48, October 29-30, 2020.
  • 松本佑志，日高章理，“人工画質劣化画像からのPix2pix 法による画質復元写像の獲得と低画質顕微鏡画像の高画質化”，第51回測自動制御学会北海道支部学術講演会，pp. 25-26，2019年3月．
  • 齋藤啓太，榎莉奈，堀部祐介，宮脇富士夫，日高章理，“器械出しの自動化のためのCNN を用いた手術状況の識別”，第51回測自動制御学会北海道支部学術講演会，pp. 39-40，2019年3月．
  • 今井大貴，日高章理，“深層学習による音声生成等の学習データの半自動的作成手法の開発”，第51回測自動制御学会北海道支部学術講演会，pp. 41-42，2019年3月．
  • 榎莉奈，齋藤啓太，堀部祐介，宮脇富士夫，日高章理，“深層学習による動作認識手法を用いた手術状況理解技術の開発”，第51回測自動制御学会北海道支部学術講演会，pp. 53-54，2019年3月．
  • Akinori Hidaka and Takio Kurita, ``Convolutional Neural Networks as General Nonlinear Classifiers,'' Abstracts on The 49th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'17), pp. 95-96 (04C6-2), Hiroshima, Japan, Nov. 3-4, 2017.
  • 我妻伸彦，日高章理，``深層畳み込みニューラルネットワークが獲得する注意選択モデルに対する心理物理学的タスクの影響''，2017年度 人工知能学会全国大会（第31回），2K4-OS-33b-2 (4pages)，名古屋，2017年5月．
  • 長峯脩兵，湧井力，日高章理，狩野弘之，``悪条件下におけるFaster R-CNN の物体検出性能の検証と改善''，第４９回計測自動制御学会北海道支部学術講演会，pp. 65-68，2017年2月．
  • 湧井力，日高章理，狩野弘之，``積層自己符号化器の特徴学習に基づく階層的サブクエリ評価法の改善''，第４９回計測自動制御学会北海道支部学術講演会，pp. 77-80，2017年2月．
  • Chikara Wakui, Akinori Hidaka and Hiroyuki Kano, ``Adaptive Hierarchical Subquery Evaluation Based on Feature Learning of Stacked Auto-Encoder,'' Proceedings of International Workshop on Advanced Image Technology 2017 (IWAIT2017), 6B-4 (4 pages), Penang, Malaysia, Jan. 2017.
  • Akinori Hidaka and Takio Kurita, ``Consecutive Dimensionality Reduction by Canonical Correlation Analysis for Visualization of Convolutional Neural Networks,'' Abstracts on The 48th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'16), pp. 97-98, Fukuoka, Nov. 4-5, 2016.
  • Akinori Hidaka and Takio Kurita, ``Improvement of Generalization Performance of Optimal Nonlinear Discriminant Analysis,'' Abstracts on The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), pp. 131-132 (3M2-1), Honolulu, Hawaii, USA, Dec. 5-8, 2015.
  • Chikara Wakui, Akinori Hidaka and Hiroyuki Kano, ``Semi-supervised Learning of Stacked Auto Encoder from Small Training Samples for Objects on Road,'' Abstracts on The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), pp. 137-138 (3M2-4), Honolulu, Hawaii, USA, Dec. 5-8, 2015.
  • Ryota Yamada, Akinori Hidaka and Hiroyuki Kano, ``Spline Curve Approximation of Marking Lines from Image Sequence Taken by Single Moving Camera,'' Abstracts on The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), pp. 159-160 (3S4-1), Honolulu, Hawaii, USA, Dec. 5-8, 2015.
  • 日高章理，栗田多喜夫，``判別カーネル関数を用いたカーネルサポートベクターマシン''，画像の認識・理解シンポジウム（MIRU），IS1-59，福岡，2012年8月．
  • 石岡大幸，日高章理，狩野弘之，``拡張カルマンフィルタによるステレオ視からの時変係数運動モデルの同定''，電子情報通信学会総合大会，ISS-P-201，岡山，2012年3月．
  • 佐藤翔太，日高章理，狩野弘之，``制約付き制御論的スプラインの理論と微分方程式の2 点境界値問題への応用''，電子情報通信学会総合大会，ISS-P-203，岡山，2012年3月．
  • 藤井多聞，日高章理，狩野弘之，``B スプラインを用いた制約付きスプラインによる最適軌道計画問題''，電子情報通信学会総合大会，ISS-P-204，岡山，2012年3月．
  • 河田真穂，日高章理，狩野弘之，``ロボット誘導のための複数特徴点の単眼視による目的地画像推定法''，電子情報通信学会総合大会，ISS-P-236，岡山，2012年3月．
  • 長部龍，日高章理，狩野弘之，``識別器から得られる事後確率推定値に基づく学習サンプルの生成''，電子情報通信学会総合大会，ISS-P-250，岡山，2012年3月．
  • 日高章理，``Ensemble Clustering による対象の向き変化に注目した視覚的物体認識''，ビジョン技術の実利用ワークショップ（ViEW2010），I-51，2010年12月．
  • 渡辺顕司，日高章理，荻内康雄，東久保政勝，栗田多喜夫，``ロバストテンプレートマッチングを用いた部分的な隠れに頑健な対象追跡手法''，第13回画像の認識・理解シンポジウム（MIRU2010），IS3-26，2010年07月．
  • 日高章理，栗田多喜夫，``非隣接型矩形特徴を用いた物体検出''，電子情報通信学会パターン認識・メディア理解(PRMU)研究会，信学技報Vol.108 NO.198, pp. 135-140, 2008年09月．
  • 小林拓也，日高章理，栗田多喜夫，``Histograms of Oriented Gradients を用いた対象識別での特徴選択''，電子情報通信学会パターン認識・メディア理解(PRMU)研究会，Vol.PRMU2006-275, pp. 119-124, 2007年03月．
  • 日高章理，栗田多喜夫，大津展之，``高次局所自己相関マスク特徴の選択的統合による物体認識''，ビジョン技術の実利用ワークショップ（ViEW2006） I-21，2006年12月．
  • 日高章理，西田健次，栗田多喜夫，``矩形特徴を用いた識別器から得られるスコア関数の最大化による顔追跡手法''，電子情報通信学会パターン認識・メディア理解(PRMU)研究会，Vol. PRMU2005-102, pp. 55-60，2005年10月．
  • 谷川昌司，日高章理，佐野夏樹，西田健次，栗田多喜夫，``矩形特徴による弱識別器のブースティングによる対象検出手法の汎化性能向上のための工夫と車載カメラの映像中の車の検出への応用''，第11回画像センシングシンポジウム講演論文集，E-10, pp. 139-142, 2005年08月．
  • 日高章理，栗田多喜夫，``矩形特徴とAdaBoostを用いた顔検出器における弱識別器のランダムネスと汎化性能''，電子情報通信学会総合大会，D-12-101，2005年3月．
    		•


    Academic Activity
    Conference, Workshop, Symposium
  • Program Committee, The Twelfth International Symposium on Computing and Networking (CANDAR2024).
  • Program & Steering Committee, The 55th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'23).
  • Organizing Committee (General Chairs Secretary), The 28th International Workshop on Frontiers of Computer Vision (IW-FCV2022).
  • Program & Steering Committee, The 53th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'21).
  • Program & Steering Committee, The 52th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'20).
  • Program & Steering Committee, The 51th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'19).
  • Program & Steering Committee, The 50th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'18).
  • Program & Steering Committee, The 49th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'17).
  • Program & Steering Committee, The 48th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'16).
  • Program & Steering Committee (Secretary), The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15).
  • Program & Steering Committee, The 46th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'14).


    • Grants
    2022.4 - 2025.3
    令和4-6年度    		 Representative
    代表    		 Grant-in-Aid for Scientific Research (KAKENHI) (C)
    科学研究費補助金 基盤研究(C)
    2021.4 - 2024.3
    令和3-5年度    		 Co-Investigator
    分担    		 Grant-in-Aid for Scientific Research (KAKENHI) (C)
    科学研究費補助金 基盤研究(C)
    2018.4 - 2021.3
    平成30-32年度    		 Co-Investigator
    分担    		 Grant-in-Aid for Scientific Research (KAKENHI) (C)
    科学研究費補助金 基盤研究(C)
    2018.4 - 2020.3
    平成30-31年度    		 Representative
    代表    		 Grant-in-Aid for Scientific Research on Innovative Areas
    科学研究費補助金 新学術領域研究（研究領域提案型）公募研究
    2017.4 - 2018.3
    平成29年度    		 Representative
    代表    		 TATEISI SCIENCE AND TECHNOLOGY FOUNDATION Grant (A)
    公益財団法人 立石科学技術振興財団 2017年度 研究助成(Ａ)
    2016.4 - 2021.3
    平成28-32年度    		 Co-Investigator
    分担    		 Grant-in-Aid for Scientific Research (KAKENHI) (C)
    科学研究費補助金 基盤研究(C)
    2016.4 - 2019.3
    平成28-30年度    		 Representative
    代表    		 Grant-in-Aid for Young Scientists (B)
    科学研究費補助金 若手研究(B)
    2011.4 - 2016.3
    平成23-27年度    		 Co-Investigator
    分担    		 Grant-in-Aid for Scientific Research (KAKENHI) (C)
    科学研究費補助金 基盤研究(C)
    2009.4 - 2011.3
    平成21-22年度    		 Representative
    代表    		 Grants-in-Aid for Young Scientists (Start-up)
    科学研究費補助金 若手研究（スタートアップ）


    Awards
    2022 February IW-FCV2022 Organizing Committee IW-FCV2022 Best Presentation Award
    2008 August ECSIS Symposium on Bio-Inspired, Learning and Intelligent Systems for Security (BLISS 2008) SPECIAL AWARD to Professor Nobuyuki Otsu and the AIST group performing HLAC research for their contribution to BLISS 2008
    2006 March 平成17年度　筑波大学大学院　システム情報工学研究科長表彰
    2006 March IEICE Young Researcher's Award (平成17年度　電子情報通信学会　学術奨励賞)