| CARVIEW |
Ken Sakurada
Kyoto University, Graduate School of Informatics
Associate Professor at Kyoto University Computer Vision Laboratory
Specially Appointed Associate Professor at D3 Center, University of Osaka
Visiting Researcher at Artificial Intelligence Research Center, AIST
Spatial Context Sensing (SCS) Research Project has been launched. For more details, please visit the project page.
Research Fields
Computer Vision, Robotics, Autonomous Driving (Environmental Perception), Remote Sensing
Latest News
- 2025/08/06 - Awarded the Beset Paper Honorable Mention Award at MIRU2025 MIRU Outstanding Award
- 2025/06/16 - Paper accepted at IROS2025
- 2024/08/09 - Awarded the Beset Paper Honorable Mention Award at MIRU2024 MIRU Outstanding Award
- 2024/07/01 - Paper accepted at ECCV2024 [Paper] [Project]
- 2024/06/30 - Paper accepted at IROS2024 [Paper] [Project]
- 2024/06/30 - Paper accepted at IROS2024 [Paper]
- 2024/04/01 - Joined as an Associate Professor at the Kyoto University Computer Vision Laboratory
- 2023/06/22 - Paper accepted at IROS2023 [Paper] [Project] [Code]
- 2023/02/28 - Paper accepted at CVPR2023 [Paper] [Project] [Code]
- 2022/07/28 - Awarded the Beset Paper Honorable Mention Award at MIRU2022 MIRU Outstanding Award
- 2022/06/30 - Paper accepted at IROS2022 [Paper]
- 2022/06/20 - Paper accepted at ICIP2022 [Paper] [Video]
- 2021/03/01 - Paper accepted at CVPR2021 [Paper]
- 2020/07/03 - Paper accepted at ECCV2020 [arXiv] [Project] [Video]
- 2020/07/01 - Paper accepted at IROS2020 [Paper]
- 2020/01/02 - Paper accepted at ICRA2020 [arXiv] [GitHub]
- 2019/02/25 - Paper accepted at CVPR 2019 [arXiv]
- 2018/09/27 - Paper accepted at ACCV2018 [arXiv]
- 2018/08/08 - Awarded the MIRU Interactive Presentation Award at MIRU2018 [Award]
- 2018/05/11 - My student Shinya Sumikura won the Best Thesis Award at the 212th CVIM Study Group [Award]
- 2018/04/01 - Appointed as Chief Researcher at Geospatial Information Science Research Team, Artificial Intelligence Research Center, AIST.
- 2018/02/02 - Awarded the 34th Inoue Research Award for Young Scientists [Award]
- 2017/08/16 - Paper accepted at Remote Sensing journal [Paper][arXiv][GitHub]
- 2017/07/10 - Released LiDAR-Camera Calibration software (ILCC) [GitHub]
- 2017/07/10 - Presented at ITSS Nagoya Chapter 2017 1st Lecture [Slides]
- 2017/04/28 - Paper accepted at CVPR Workshop Earth Vision 2017 Workshop [Paper]
- 2017/03/16 - Awarded the Yamashita Memorial Research Award [Award]
- 2017/02/13 - Paper accepted as oral presentation at MVA2017 [Paper]
- 2017/02/08 - Paper accepted at Computer Vision and Image Understanding (CVIU) journal [Paper]
- 2016/12/24 - Presented at a graduate lecture at Chubu University [Slides]
- 2016/11/22 - Paper accepted at Remote Sensing journal [Paper]
- 2016/10/25 - Presented at AIST Artificial Intelligence Seminar [Slides]
- 2016/04/01 - Appointed as Visiting Researcher at Artificial Intelligence Research Center, AIST
- 2016/04/01 - Appointed as Assistant Professor at Nagoya University Graduate School of Engineering
- 2016/03/25 - Paper accepted at Computer Vision and Image Understanding (CVIU) journal [Paper]
Main Research Projects
![]() |
INF: Implicit Neural Fusion for LiDAR and Camera |
||
![]() |
Hierarchical Neural Memory Network for Low Latency Event Processing |
||
![]() |
Fast Structural Representation and Structure-aware Loop Closing for Visual SLAM |
||
![]() |
LB-NERF: Light Bending Neural Radiance Fields for Transparent Medium |
||
![]() |
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation |
||
![]() |
Privacy Preserving Visual SLAM |
||
![]() |
Weakly Supervised Silhouette-based Semantic Change Detection |
![]() |
TriDepth: Triangular Patch-based Deep Depth Prediction |
||
![]() |
Rare Event Detection using Disentangled Representation Learning |
||
![]() |
Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera |
||
![]() |
Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard |
||
![]() |
Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets |
||
![]() |
Damage Detection from Aerial Images via Convolutional Neural Networks |
||
![]() |
Incremental and Enhanced Scanline-Based Segmentation Method for Surface Reconstruction of Sparse LiDAR Data |
||
![]() |
Change Detection from a Street Image Pair using CNN Features and Superpixel Segmentation |
||
![]() |
Massive City-scale Surface Condition Analysis using Ground and Aerial Imagery | ||
![]() |
Detecting Changes in 3D Structure of a Scene from Multi-view Images Captured by a Vehicle-mounted Camera |
Main Paper List
Academic Journals (Peer-reviewed)- Kento Doi, Ryuhei Hamaguchi,Yusuke Iwasawa, Masaki Onishi, Yutaka Matsuo, Ken Sakurada
Detecting Object-Level Scene Changes in Images with Viewpoint Differences Using Graph Matching,
Remote Sensing 2022, 14(17) [Paper] [Project] [Data]
- Weimin Wang, Ken Sakurada, Nobuo Kawaguchi,
Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard,
Remote Sensing 2017, 9(8) [Paper] [arXiv] [GitHub]
- Ken Sakurada, Daiki Tetsuka, Takayuki Okatani,
Temporal city modeling using street level imagery,
Computer Vision and Image Understanding (CVIU) [Paper]
- Weimin Wang, Ken Sakurada, Nobuo Kawaguchi,
Incremental and Enhanced Scanline-Based Segmentation Method for Surface Reconstruction of Sparse LiDAR Data,
Remote Sensing 2016, 8(11) [Paper]
- Ken Sakurada Takayuki Okatani, Kris M. Kitani,
Hybrid Macro-Micro Visual Analysis,
Computer Vision and Image Understanding (CVIU), Vol.146, May 2016, pages 86-98 [Paper]
- Shuxiang Xie, Shuyi Zhou, Ken Sakurada, Ryoichi Ishikawa, Masaki Onishi, Takeshi Oishi
G2f R: Frequency Regularization in Grid-based Feature Encoding Neural Radiance Fields
ECCV2024
[Paper] [Project] - Ayumi Umemura, Ken Sakurada, Masaki Onishi, Kazuya Yoshida
SDFT: Structural Discrete Fourier Transform for Place Recognition and Traversability Analysis
IROS2024
[Paper] [Project] - Xiangjie Li, Shuxiang Xie, Ken Sakurada, Ryusuke Sagawa, Takeshi Oishi
Implicit Neural Fusion of RGB and Far-Infrared 3D Imagery for Invisible Scenes
IROS2024
[Paper] - Shuyi Zhou, Shuxiang Xie, Ryoichi Ishikawa, Ken Sakurada, Masaki Onishi, Takeshi Oishi
INF: Implicit Neural Fusion for LiDAR and Camera,
IROS2023 [Paper] [Project] [Code] - Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi, Ken Sakurada
Hierarchical Neural Memory Network for Low Latency Event Processing,
CVPR2023 [Paper] [Project] [Code] - Shuxiang Xie, Ryoichi Ishikawa, Ken Sakurada, Masaki Onishi, Takeshi Oishi
Fast Structural Representation and Structure-aware Loop Closing for Visual SLAM,
IROS2022 [Paper] - Taku Fujitomi, Ken Sakurada, Ryuhei Hamaguchi, Hidehiko Shishido, Masaki Onishi, Yoshinari Kameda
LB-NERF: Light Bending Neural Radiance Fields for Transparent Medium,
ICIP2022 [Paper] - Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi, Ken Sakurada
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation,
CVPR2021 [arXiv] [Project] [Video] - Mikiya Shibuya, Shinya Sumikura, Ken Sakurada
Privacy Preserving Visual SLAM,
ECCV2020 [arXiv] [Project] [Video] - Yukuko Furukawa, Kumiko Suzuki, Ryuhei Hamaguchi, Masaki Onishi, Ken Sakurada
Self-supervised Simultaneous Alignment and Change Detection,
IROS2020 - Ken Sakurada, Mikiya Shibuya, Weiming Wang
Weakly Supervised Silhouette-based Semantic Change Detection,
ICRA2020
[arXiv] [Github] [Dataset] - Masaya Kaneko, Ken Sakurada, Kiyoharu Aizawa
TriDepth: Triangular Patch-based Deep Depth Prediction,
ICCVW2019, Deep Learning for Visual SLAM
[arXiv] [Project] [Github] - Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura
Rare Event Detection using Disentangled Representation Learning,
CVPR, 2019
[arXiv] [Github] [Dataset] - Shinya Sumikura, Ken Sakurada, Nobuo Kawaguchi, Ryosuke Nakamura
Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera,
ACCV, 2018
[arXiv][Video]
- Kenji Enomoto, Ken Sakurada, Weimin Wang, Hiroshi Fukui, Masashi Matsuoka, Ryosuke Nakamura and Nobuo Kawaguchi
Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets,
CVPRW EARTHVISION, 2017 [Paper]
- Aito Fujita, Ken Sakurada, Tomoyuki Imaizumi, Riho Ito, Shuhei Hikosaka and Ryosuke Nakamura
Damage Detection from Aerial Images via Convolutional Neural Networks,
MVA, 2017 [Paper]
- Ken Sakurada and Takayuki Okatani
Change Detection from a Street Image Pair using CNN Features and Superpixel Segmentation,
BMVC, 2015 [Paper]
[Dataset]
- Ken Sakurada, Takayuki Okatani and Kris M. Kiatani
Massive City-scale Surface Condition Analysis using Ground and Aerial Imagery,
ACCV, 2014 (Oral), "Best Application Paper Honorable Mention Award"
[Paper] [Video]
- Ken Sakurada, Takayuki Okatani and Koichiro Deguchi
Detecting Changes in 3D Structure of a Scene from Multi-view Images Captured by a Vehicle-mounted Camera,
CVPR, 2013
[Paper]
[Project]
[Video]
[Dataset]
International Conferences (Peer-reviewed)
Education
- April 2013 - March 2014 Visiting Researcher, Carnegie Mellon University
- April 2011 - March 2015 PhD Student of Information Science, Tohoku University
- April 2009 - March 2011 Master of Information Science, Tohoku University
- April 2005 - March 2009 Bachelor of Mechanical Engineering, Tohoku University
- April 2011 - March 2015 PhD Student of Information Science, Tohoku University
Employment History
- April 2024 - Present Associate Professor, Graduate School of Informatics, Kyoto University
- April 2024 - Present Visiting Researcher, Artificial Intelligence Research Center, AIST
- April 2021 - Present Special Researcher, Tokyo Institute of Technology
- April 2018 - March 2024 Senior Researcher, Artificial Intelligence Research Center, AIST
- August 2016 - March 2018 Visiting Researcher, Artificial Intelligence Research Center, AIST
- April 2016 - March 2018 Assistant Professor, Graduate School of Engineering, Nagoya University
- April 2015 - March 2016 Postdoctoral Researcher, Graduate School of Science and Engineering, Tokyo Institute of Technology
- April 2012 - March 2014 JSPS Research Fellow (DC2)
- April 2024 - Present Visiting Researcher, Artificial Intelligence Research Center, AIST
Awards
- MIRU2025 Beset Paper Honorable Mention Award
- MIRU2024 Beset Paper Honorable Mention Award
- MIRU2022 Beset Paper Honorable Mention Award
- MIRU2019 Demo Award
- 34th Inoue Research Award for Young Scientists
- IPSJ Yamashita SIG Research Award, 2016
- MIRU2015 Frontier Award
- Best Application Paper Honorable Mention Award, ACCV2014
- Best Paper Award Finalist, SII2010
- Outstanding Graduate Student Award, Graduate School of Information Sciences, Tohoku University, 2010
- Eiji Muto Student Award, Japan Society for Design Engineering, 2008
Grants
- JST BOOST, 2025 - 2030 (PI)
- JST PRESTO Trusted AI, 2022 - 2025 (PI)
- Grant-in-Aid for Scientific Research (B), 2020 - 2022 (PI)  
- Grant-in-Aid for Early-Career Scientists, 2018 - 2019 (PI)  
- New Energy and Industrial Technology Development Organization (NEDO), 2017 (Co-Investigator)
- The Horikagakugeijutsu Foundation for Informational Science Advancement Research Grant, 2017 - 2020 (PI)
- JSPS Research Fellowship for Young Scientists (JSPS DC2), 2013 - 2014 (PI)  
Academic Service
- Area Chair of IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR2023)
- Associate Editors of 26TH International Conference on Pattern Recognition (ICPR2022)
- Organizing Committee Member of IAPR International Conference on Machine Vision and Applications (MVA2017)
- Reviewer of TPAMI, CVIU, Remote Sensing, AURO, Advanced Robotics, CVA, ICCV, AAAI, ICPR, MVA, ...
















