Basic Information

Faculty

• 工学部

Academic Degree

• Master of Engineering(University of Tokyo)
• Doctor of Science(University of Tokyo)

Academic Resume (Graduate Schools)

• University of Tokyo, School of Engineering, Department of Information and Communication Engineering, 修了
• University of Tokyo, School of Science, Department of Computer Science, 修了

Academic Resume (Undergraduate School/Majors)

• University of Tokyo, Faculty of Engineering, Department of Information and Communication Engineering, 卒業

Language of Instruction

• English

ID,URL

• J-Global ID

  201801019728183420

• External link

  http://vision.ist.i.kyoto-u.ac.jp

Website(s) (URL(s))

• http://vision.ist.i.kyoto-u.ac.jp/

researchmap URL

• https://researchmap.jp/ko_nishino

Research

Research Topics, Overview of the research

• Overview of the research

  Neural substrates dedicated to vision is said to occupy about 40 percent of the cerebral cortex. Realizing computer vision as a truly intelligent perceptual modality is fundamental for artificial intelligence, and would also inform our understanding of human visual intelligence. Towards computational visual intelligence, our research is focused on establishing the theoretical foundations and efficient implementations of computational methods for better understanding people, objects and scenes from their appearance in images and video, as well as the development of novel computational imaging systems that can see beyond what we see.

Research Areas

• Informatics, Intelligent informatics, 知能情報処理
• Informatics, Intelligent robotics, 実世界情報処理、行動環境認識
• Informatics, Perceptual information processing, コンピュータビジョン、画像情報処理、パターン認識、情報センシング

Papers

• Invertible Neural BRDF for Object Inverse Rendering

  Zhe Chen; Shohei Nobuhara; Ko Nishino

  IEEE Transactions on Pattern Analysis and Machine Intelligence, Nov. 2021, Peer-reviewed, Last author, Corresponding author

  
• Surface Normals and Shape From Water

  Mengyu Jennifer Kuo; Satoshi Murai; Ryo Kawahara; Shohei Nobuhara; Ko Nishino

  IEEE Transactions on Pattern Analysis and Machine Intelligence, Oct. 2021, Peer-reviewed, Last author, Corresponding author

  
• Human–object interaction detection with missing objects

  Kaen Kogashi; Yang Wu; Shohei Nobuhara; Ko Nishino

  Image and Vision Computing, Sep. 2021, Peer-reviewed, Last author

  
• Human-Object Interaction Detection with Missing Objects

  Kaen Kogashi; Yang Wu; Shohei Nobuhara; Ko Nishino

  International Conference on Machine Vision Applications, Jul. 2021, Peer-reviewed, Last author

  
• Polarimetric Normal Stereo

  Yoshiki Fukao; Ryo Kawahara; Shohei Nobuhara; Ko Nishino

  IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun. 2021, Peer-reviewed, Last author, Corresponding author

  
• Shape from Sky: Polarimetric Normal Recovery Under The Sky

  Tomoki Ichikawa; Matthew Purri; Ryo Kawahara; Shohei Nobuhara; Kristin Dana; Ko Nishino

  IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun. 2021, Peer-reviewed, Last author, Corresponding author

  
• Consistent 3D Human Shape from Repeatable Action

  Keisuke Shibata; Sangeun Lee; Shohei Nobuhara; Ko Nishino

  International Workshop on Dynamic Scene Reconstruction, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, Jun. 2021, Peer-reviewed, Last author

  
• Non-Rigid Shape from Water

  Meng-Yu J. Kuo; Ryo Kawahara; Shohei Nobuhara; Ko Nishino

  IEEE Trans. on Pattern Analysis and Machine Intelligence (Special Issue of ICCP 2021), May 2021, Peer-reviewed, Last author, Corresponding author

  
• View Birdification in the Crowd: Ground-Plane Localization from Perceived Movements.

  Mai Nishimura; Shohei Nobuhara; Ko Nishino

  CoRR, 2021

  
• Guest Editorial: Introduction to the Special Section on Computational Photography.

  Yoav Y. Schechner; Kavita Bala; Ori Katz; Kalyan Sunkavalli; Ko Nishino

  IEEE Trans. Pattern Anal. Mach. Intell., 2021

  
• 3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture

  Kohei Yamashita; Shohei Nobuhara; Ko Nishino

  British Machine Vision Conference, Sep. 2020, Peer-reviewed, Last author, Corresponding author

  
• Video Region Annotation with Sparse Bounding Boxes

  Yuzheng Xu; Yang Wu; Nur Sabrina; binti Zuraimi; Shohei Nobuhara; Ko Nishino

  British Machine Vision Conference, Sep. 2020, Peer-reviewed, Last author

  
• Invertible Neural BRDF for Object Inverse Rendering

  Zhe Chen; Shohei Nobuhara; Ko Nishino

  European Conference on Computer Vision, Aug. 2020, Peer-reviewed, Corresponding author

  
• Depth Sensing by Near-Infrared Light Absorption in Water

  Yuta Asano; Yinqiang Zheng; Ko Nishino; Imari Sato

  IEEE Trans. on Pattern Analysis and Machine Intelligence, Mar. 2020, Peer-reviewed, Corresponding author

  
• Differential Viewpoints for Ground Terrain Material Recognition.

  Jia Xue; Hang Zhang 0005; Ko Nishino; Kristin J. Dana

  CoRR, 2020

  
• Video Region Annotation with Sparse Bounding Boxes.

  Yuzheng Xu; Yang Wu; Nur Sabrina binti Zuraimi; Shohei Nobuhara; Ko Nishino

  CoRR, 2020

  
• Guest Editors' Introduction to the Special Issue on RGB-D Vision: Methods and Applications.

  Mohammed Bennamoun; Yulan Guo; Federico Tombari; Kamal Youcef-Toumi; Ko Nishino

  IEEE Trans. Pattern Anal. Mach. Intell., 2020

  
• Appearance and Shape from Water Reflection.

  Ryo Kawahara; Meng-Yu Jennifer Kuo; Shohei Nobuhara; Ko Nishino

  Proc. of Winter Applications on Computer Vision WACV’20, 2020, Peer-reviewed, Last author, Corresponding author

  
• Recognizing Material Properties from Images.

  Gabriel Schwartz; Ko Nishino

  IEEE Trans. Pattern Anal. Mach. Intell., 2020, Peer-reviewed, Last author, Corresponding author

  
• Surface Normals and Shape From Water.

  Satoshi Murai; Meng-Yu Kuo; Ryo Kawahara; Shohei Nobuhara; Ko Nishino

  The IEEE International Conference on Computer Vision (ICCV), 2019, Peer-reviewed, Last author, Corresponding author

  
• Estimation of Wetness and Color From A Single Multispectral Image

  Hiroki Okawa; Mihoko Shimano; Yuta Asano; Ryoma Bise; Ko Nishino; Imari Sato

  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, Peer-reviewed, Corresponding author

  
• 3D-GMNet: Learning to Estimate 3D Shape from A Single Image As A Gaussian Mixture.

  Kohei Yamashita; Shohei Nobuhara; Ko Nishino

  CoRR, 2019, Peer-reviewed, Last author, Corresponding author

  
• Shape from Water Reflection.

  Ryo Kawahara; Shohei Nobuhara; Ko Nishino

  CoRR, 2019, Peer-reviewed, Last author, Corresponding author

  
• Reflectance and Shape Estimation with a Light Field Camera Under Natural Illumination.

  Trung Ngo Thanh; Hajime Nagahara; Ko Nishino; Rin-ichiro Taniguchi; Yasushi Yagi

  Int. J. Comput. Vis., 2019, Peer-reviewed

  
• Recognizing Material Properties from Images.

  Gabriel Schwartz; Ko Nishino

  CoRR, 2018, Peer-reviewed, Last author, Corresponding author

  
• Editorial for ACCV'16 award papers.

  Shang-Hong Lai; Vincent Lepetit; Ko Nishino; Yoichi Sato

  Comput. Vis. Image Underst., 2018, Peer-reviewed

  
• A Data-Driven Approach for Direct and Global Component Separation from a Single Image.

  Shijie Nie; Lin Gu 0003; Art Subpa-Asa; Ilyes Kacher; Ko Nishino; Imari Sato

  Asian Conference on Computer Vision, 2018, Peer-reviewed

  
• Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with an Ordinary Camera.

  Ko Nishino; Art Subpa-Asa; Yuta Asano; Mihoko Shimano; Imari Sato

  European Conference on Computer Vision, 2018, Peer-reviewed, Corresponding author

  
• Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part V

  ACCV (5), 2017, Peer-reviewed

  
• Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part IV

  ACCV (4), 2017, Peer-reviewed

  
• Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III

  ACCV (3), 2017, Peer-reviewed

  
• Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part II

  ACCV (2), 2017, Peer-reviewed

  
• Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part I

  ACCV (1), 2017, Peer-reviewed

  
• Differential Angular Imaging for Material Recognition.

  Jia Xue; Hang Zhang 0005; Kristin J. Dana; Ko Nishino

  2017 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2017, Peer-reviewed, Last author

  
• Wetness and Color from a Single Multispectral Image.

  Mihoko Shimano; Hiroki Okawa; Yuta Asano; Ryoma Bise; Ko Nishino; Imari Sato

  IEEE Trans. on Pattern Analysis and Machine Intelligence, 2017, Peer-reviewed, Corresponding author

  
• Reflectance and Shape Estimation with a Light Field Camera under Natural Illumination.

  Trung Ngo Thanh; Hajime Nagahara; Ko Nishino; Rin-ichiro Taniguchi; Yasushi Yagi

  International Journal of Computer Vision, 2017, Peer-reviewed

  
• Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance.

  Hang Zhang 0005; Kristin J. Dana; Ko Nishino

  CoRR, 2016

  
• Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance.

  Hang Zhang 0005; Kristin J. Dana; Ko Nishino

  Computer Vision - ECCV 2016 - 14th European Conference, 2016

  
• Radiometric Scene Decomposition: Scene Reflectance, Illumination, and Geometry from RGB-D Images.

  Stephen Lombardi; Ko Nishino

  Fourth International Conference on 3D Vision(3DV), 2016

  
• Shape and Reflectance Estimation in the Wild.

  Geoffrey Oxholm; Ko Nishino

  IEEE Trans. Pattern Anal. Mach. Intell., 2016, Peer-reviewed, Last author, Corresponding author

  
• Reflectance and Illumination Recovery in the Wild.

  Stephen Lombardi; Ko Nishino

  IEEE Trans. Pattern Anal. Mach. Intell., 2016, Peer-reviewed, Last author, Corresponding author

  
• Shape from Water: Bispectral Light Absorption for Depth Recovery

  Yuta Asano; Yinqiang Zheng; Ko Nishino; Imari Sato

  COMPUTER VISION - ECCV 2016, PT VI, 2016, Peer-reviewed, Corresponding author

  
• Automatically Discovering Local Visual Material Attributes

  Gabriel Schwartz; Ko Nishino

  2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2015, Peer-reviewed, Last author, Corresponding author

  
• Two-point gait: Decoupling gait from body shape

  Stephen Lombardi; Ko Nishino; Yasushi Makihara; Yasushi Yagi

  Proceedings of the IEEE International Conference on Computer Vision, 2013, Peer-reviewed, Corresponding author

  
• Visual Material Traits: Recognizing Per-Pixel Material Context

  Gabriel Schwartz; Ko Nishino

  2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW), 2013, Peer-reviewed, Last author, Corresponding author

  
• 3D Geometric Scale Variability in Range Images: Features and Descriptors

  Prabin Bariya; John Novatnack; Gabriel Schwartz; Ko Nishino

  INTERNATIONAL JOURNAL OF COMPUTER VISION, Sep. 2012, Peer-reviewed, Last author, Corresponding author

  
• Locally rigid globally non-rigid surface registration

  Kent Fujiwara; Ko Nishino; Jun Takamatsu; Bo Zheng; Katsushi Ikeuchi

  Proceedings of the IEEE International Conference on Computer Vision, 2011, Peer-reviewed, Corresponding author

  
• Clustering Bayon face towers using restored 3D shape models

  Min Lu; Mawo Kamakura; Bo Zheng; Jun Takamatsu; Ko Nishino; Katsushi Ikeuchi

  Proceedings - 2011 2nd International Conference on Culture and Computing, Culture and Computing 2011, 2011, Peer-reviewed

  
• 3D shape restoration via matrix recovery

  Min Lu; Bo Zheng; Jun Takamatsu; Ko Nishino; Katsushi Ikeuchi

  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, Peer-reviewed

  
• Illumination and spatially varying specular reflectance from a single view

  Kenji Hara; Ko Nishino

  2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009, 2009, Peer-reviewed

  
• Adaptively merging large-scale range data with reflectance properties

  Ryusuke Sagawa; Ko Nishino; Katsushi Ikeuchi

  Digitally Archiving Cultural Objects, 2008, Peer-reviewed

  
• Parallel processing of range data merging

  Ryusuke Sagawa; Ko Nishino; Mark D. Wheeler; Katsushi Ikeuchi

  Digitally Archiving Cultural Objects, 2008, Peer-reviewed

  
• Robust simultaneous registration of multiple range images

  Ko Nishino; Katsushi Ikeuchi

  Digitally Archiving Cultural Objects, 2008, Peer-reviewed

  
• Color constancy through inverse-intensity chromaticity space

  Robby T. Tan; Katsushi Ikeuchi; Ko Nishino

  Digitally Archiving Cultural Objects, 2008, Peer-reviewed

  
• Simultaneous determination of registration and deformation parameters among 3D range images

  Tomohito Masuda; Yuichiro Hirota; Ko Nishino; Katsushi Ikeuchi

  Digitally Archiving Cultural Objects, 2008, Peer-reviewed

  
• Mixture of spherical distributions for single-view relighting

  Kenji Hara; Ko Nishino; Katsushi Ikeuchi

  IEEE Transactions on Pattern Analysis and Machine Intelligence, Jan. 2008, Peer-reviewed

  
• Robust and adaptive merge of multiple range images with photometric attribute

  Ryusuke Sagawa; Ko Nishino; Katsushi Ikeuchi

  Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi), Nov. 2007, Peer-reviewed

  
• The great Buddha project: Digitally archiving, restoring, and analyzing cultural heritage objects

  Katsushi Ikeuchi; Takeshi Oishi; Jun Takamatsu; Ryusuke Sagawa; Atsushi Nakazawa; Ryo Kurazume; Ko Nishino; Mawo Kamakura; Yasuhide Okamoto

  International Journal of Computer Vision, Oct. 2007, Peer-reviewed

  
• Mapping textures on 3D geometric model using reflectance image

  Ryo Kurazume; Ko Nishino; Mark D. Wheeler; Katsushi Ikeuchi

  Systems and Computers in Japan, 30 Nov. 2005, Peer-reviewed

  
• Light source position and reflectance estimation from a single view without the distant illumination assumption

  Kenji Hara; Ko Nishino; Katsushi Ikeuchi

  IEEE Transactions on Pattern Analysis and Machine Intelligence, Apr. 2005, Peer-reviewed

  
• Adaptively merging large-scale range data with reflectance properties

  Ryusuke Sagawa; Ko Nishino; Katsushi Ikeuchi

  IEEE Transactions on Pattern Analysis and Machine Intelligence, Mar. 2005, Peer-reviewed

  
• Simultaneous determination of registration and deformation parameters among 3D range images

  Tomohito Masuda; Yuichiro Hirota; Katsushi Ikeuchi; Ko Nishino

  Proceedings of International Conference on 3-D Digital Imaging and Modeling, 3DIM, 2005, Peer-reviewed

  
• Multiple light sources and reflectance property estimation based on a mixture of spherical distributions

  Kenji Hara; Ko Nishino; Katsushi Ikeuchi

  Proceedings of the IEEE International Conference on Computer Vision, 2005, Peer-reviewed

  
• Illumination normalization with time-dependent intrinsic images for video surveillance

  Yasuyuki Matsushita; Ko Nishino; Katsushi Ikeuchi; Masao Sakauchi

  IEEE Transactions on Pattern Analysis and Machine Intelligence, Oct. 2004, Peer-reviewed

  
• Separating reflection components based on chromaticity and noise analysis

  Robby T. Tan; Ko Nishino; Katsushi Ikeuchi

  IEEE Transactions on Pattern Analysis and Machine Intelligence, Oct. 2004, Peer-reviewed

  
• Robust simultaneous registration of multiple range images comprising a large number of points

  Ko Nishino; Katsushi Ikeuchi

  Electronics and Communications in Japan, Part II: Electronics (English translation of Denshi Tsushin Gakkai Ronbunshi), Aug. 2004, Peer-reviewed

  
• Color constancy through inverse-intensity chromaticity space

  Robby T. Tan; Ko Nishino; Katsushi Ikeuchi

  Journal of the Optical Society of America A: Optics and Image Science, and Vision, 2004, Peer-reviewed

  
• Creating Virtual Buddha Statues through Observation

  Katsushi Ikeuchi; Atsushi Nakazawa; Ko Nishino; Takeshi Oishi

  IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2003, Peer-reviewed

  
• Modeling from reality - Creating virtual reality models through observation

  Katsushi Ikeuchi; Atsushi Nakazawa; Ko Nishino; Ryusuke Sagawa; Takeshi Oishi; Hiroki Unten

  Proceedings of SPIE - The International Society for Optical Engineering, 2003, Peer-reviewed

  
• Eigen-texture method: Appearance compression and synthesis based on a 3D model

  Ko Nishino; Yoichi Sato; Katsushi Ikeuchi

  IEEE Transactions on Pattern Analysis and Machine Intelligence, Nov. 2001, Peer-reviewed

  
• Determining reflectance parameters and illumination distribution from a sparse set of images for view-dependent image synthesis

  Ko Nishino; Zhengyou Zhang; Katsushi Ikeuchi

  Proceedings of the IEEE International Conference on Computer Vision, 2001, Peer-reviewed

  

Misc.

• A Linear Algebraic Approach to Intraclass Shape Analysis and Its Application in Archaeological Research

  Min Lu; Bo Zheng; Jun Takamatsu; Ko Nishino; Katsushi Ikeuchi

  研究報告コンピュータビジョンとイメージメディア（CVIM）, 23 May 2013

  
• Non-rigid Registration using Local Rigid Transformations for Shape Analysis

  Kent Fujiwara; Ko Nishino; Jun Takamatsu; Bo Zheng; Katsushi Ikeuchi

  研究報告コンピュータビジョンとイメージメディア（CVIM）, 23 May 2013

  
• Variational estimation of inhomogeneous specular reflectance and illumination from a single view

  Kenji Hara; Ko Nishino

  Journal of the Optical Society of America A: Optics and Image Science, and Vision, 2011

  
• The appearance of human skin: A survey

  Takanori Igarashi; Ko Nishino; Shree K. Nayar

  Foundations and Trends in Computer Graphics and Vision, 20 Jul. 2007

  

Presentations

• AIの視る世界

  西野恒

  AI アカデミックフォーラム2020, 28 Jan. 2020, Invited

  
• AIで視る

  西野 恒

  工学部オープンセミナーおよび工学部公開講座, 27 Jul. 2019, Invited

  
• Seeing More with Computers

  Ko Nishino

  6th Kyoto University Inamori Foundation Joint Kyoto Prize Symposium, 29 Jun. 2019, Invited

  
• 水と光

  西野 恒

  玉川大学 脳科学研究所 社会神経科学共同研究拠点研究会「世界と社会における色と質感」, 29 May 2019, Invited

  
• Estimating, Recognizing, and Capturing Real-World Materials

  Ko Nishino

  STW 2019, 14 May 2019, Invited

  
• Freeing Computer Vision from Its Fundamental Limits

  Ko Nishino

  Computational Color Imaging Workshop 2019, 27 Mar. 2019, Invited

  
• コンピュータで視る

  西野 恒

  AIITイノベーションデザインフォーラム, 29 Jan. 2019, Invited

  
• コンピュータで視る未来社会

  西野 恒

  創設８０周年記念産研テクノサロンスペシャル１, 09 Nov. 2018, Invited

  
• Freeing Computer Vision from Its Fundamental Limits

  Ko Nishino

  IEICE Technical Committee Submission System, 25 Oct. 2018, Invited

  
• Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with An Ordinary Camera

  Ko Nishino

  European Conference on Computer Vision, 12 Sep. 2018

  

Industrial Property Rights

• 特願PCT/JP2017/036510, 形状測定装置及び方法

  西野 恒; 佐藤いまり; 浅野祐太; 鄭銀強

  

Awards

• 07 Sep. 2020

  British Machine Vision Conference, Best Student Paper Award
• 19 Jun. 2021

  International Workshop on Dynamic Scene Reconstruction, CVPR Workshop, Best Paper Award

External funds: Kakenhi

• 物理的演繹モデルと帰納的深層学習の融合によるしなやかな画像理解

  Grant-in-Aid for Scientific Research (A)

  Medium-sized Section 61:Human informatics and related fields

  Kyoto University

  西野 恒

  From 05 Apr. 2021, To 31 Mar. 2026, Granted

  コンピュータビジョン;光学的画像理解;逆問題

  https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21H04893/
• 実体・非実体深奥質感の計算機視覚の実現

  Grant-in-Aid for Transformative Research Areas (A)

  Transformative Research Areas, Section (IV)

  Kyoto University

  西野 恒

  From 19 Nov. 2020, To 31 Mar. 2025, Granted

  深奥質感;コンピュータビジョン;知能情報学

  https://kaken.nii.ac.jp/grant/KAKENHI-PLANNED-20H05951/
• Understanding Complex Shitsukan Mechanisms

  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

  Complex systems

  National Institute of Informatics

  Imari Sato

  From 29 Jun. 2015, To 31 Mar. 2020, Project Closed

  反射解析;分光解析;インバースレンダリング;質感合成;散乱解析;コンピューテーショナルフォトグラフィー;コンピュータビジョン;質感解析;コンピュータグラフィックス;画像合成;コンピューテーショナルフォトグラフィ;光学モデル;コンピュータグラフィクス;物理ベースドビジョン;人工知能;物理ベースビジョン

  https://kaken.nii.ac.jp/grant/KAKENHI-PLANNED-15H05918/

External funds: others

• Perceiving and misperceiving the causes of optical structure

  Australian Research Council Discovery Project

  From 01 Jan. 2019, To 31 Dec. 2021

  Barton Anderson

Education

Teaching subject(s)

• From 01 Apr. 2022, To 31 Mar. 2023

  Pattern Recognition, Adv.

  X732, Spring, Graduate School of Engineering, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar on Intelligence Science and Technology III

  3194, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar on Intelligence Science and Technology II

  3193, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar on Intelligence Science and Technology IV

  3197, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar on Intelligence Science and Technology I

  3191, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Computer Vision

  3175, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Pattern Recognition, Adv.

  3165, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar on Intelligence Science and Technology III

  3195, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar on Intelligence Science and Technology IV

  3196, Fall, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar on Intelligence Science and Technology II

  3192, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Seminar on Intelligence Science and Technology I

  3190, Spring, Graduate School of Informatics, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Machine Learning

  6205, Fall, Faculty of Engineering, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Introduction to Information Science

  G202, Spring, Institute for Liberal Arts and Sciences, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Digital Signal Processing

  6061, Fall, Faculty of Engineering, 2
• From 01 Apr. 2022, To 31 Mar. 2023

  Introduction to Information Science

  3154, Spring, Graduate School of Informatics, 2
• From Apr. 2019, To Mar. 2020

  Computer Vision

  Fall, 情報学研究科
• From Apr. 2019, To Mar. 2020

  Digital Signal Processing

  Fall, 工学部
• From Apr. 2019, To Mar. 2020

  Introduction to Information Science

  Spring, 全学共通科目
• From Apr. 2019, To Mar. 2020

  Introduction to Information Science

  Spring, 情報学研究科
• From Apr. 2019, To Mar. 2020

  Pattern Recognition, Adv.

  Spring, 情報学研究科
• From Apr. 2020, To Mar. 2021

  Computer Vision

  Spring, 情報学研究科
• From Apr. 2020, To Mar. 2021

  Digital Signal Processing

  Fall, 工学部
• From Apr. 2020, To Mar. 2021

  Introduction to Information Science

  Spring, 全学共通科目
• From Apr. 2020, To Mar. 2021

  Introduction to Information Science

  Spring, 情報学研究科
• From Apr. 2020, To Mar. 2021

  Machine Learning

  Fall, 工学部
• From Apr. 2020, To Mar. 2021

  Pattern Recognition, Adv.

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Computer Vision

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Seminar on Intelligence Science and Technology III

  Fall, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Seminar on Intelligence Science and Technology II

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Seminar on Intelligence Science and Technology I

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Seminar on Intelligence Science and Technology IV

  Fall, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Digital Signal Processing

  Fall, 工学部
• From Apr. 2021, To Mar. 2022

  Introduction to Information Science

  Spring, 全学共通科目
• From Apr. 2021, To Mar. 2022

  Introduction to Information Science

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Machine Learning

  Fall, 工学部
• From Apr. 2021, To Mar. 2022

  Seminar on Intelligence Science and Technology III

  Fall, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Seminar on Intelligence Science and Technology II

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Seminar on Intelligence Science and Technology I

  Spring, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Seminar on Intelligence Science and Technology IV

  Fall, 情報学研究科
• From Apr. 2021, To Mar. 2022

  Pattern Recognition, Adv.

  Spring, 工学研究科
• From Apr. 2021, To Mar. 2022

  Pattern Recognition, Adv.

  Spring, 情報学研究科

Participation in PhD Defense

• Data Augmentation Approaches for Automatic Speech Recognition Using Text-to-Speech

  UENO SEI, Graduate School of Informatics, Sub-chief Examiner

  23 Mar. 2022
• Refraction and Absorption for Underwater Shape Recovery

  MENG-YU JENNIFER KUO, Graduate School of Informatics, Sub-chief Examiner

  24 Sep. 2021
• A Unified Generative and Discriminative Approach to Automatic Chord Estimation for Music Audio Signals

  Yiming Wu, Graduate School of Informatics, Sub-chief Examiner

  24 Sep. 2021

Administration

School management (title, position)

• From 01 Apr. 2020

  大学評価委員会点検・評価実行委員会 委員

Faculty management (title, position)

• From 01 Apr. 2022, To 31 Mar. 2023

  制規委員会　副委員長
• From 01 Apr. 2018, To 31 Mar. 2019

  教務委員会委員
• From 01 Apr. 2019, To 31 Mar. 2020

  教務委員会委員長
• From 01 Apr. 2020, To 31 Mar. 2021

  企画委員会委員
• From 01 Apr. 2020, To 31 Mar. 2022

  評価・広報委員会委員
• From 01 Apr. 2020, To 31 Mar. 2021

  連携推進WG委員
• From 01 Apr. 2021, To 31 Mar. 2022

  制規委員会　委員
• From 01 Apr. 2021, To 31 Mar. 2023

  専攻長
• From 01 Apr. 2021, To 31 Mar. 2023

  情報セキュリティ委員会委員