Ken Sakurada National Institute of Advanced Industrial Science and Technology (AIST) Artificial Intelligence Research Center (AIRC) Senior Researcher Tokyo Institute of Technology Research Fellow [Curriculum Vitae]

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I am a senior researcher at Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST) since April 2018. My general research interest lies in computer vision and robotics (SLAM, 4D Modeling).

News

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• One paper has been accepted to CVPR 2021. "Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation". [Paper]
• One paper has been accepted to ECCV 2020. "Privacy Preserving Visual SLAM". [arXiv] [Project] [Video]
• One paper has been accepted to IROS 2020. "Self-supervised Simultaneous Alignment and Change Detection".
• One paper has been accepted to ICRA 2020. "Weakly Supervised Silhouette-based Semantic Change Detection". [arXiv] [Github]
• One paper has been accepted to CVPR 2019. "Rare Event Detection using Disentangled Representation Learning". [arXiv]
• One paper has been accepted to ACCV 2018. "Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera". [arXiv]
• One paper has been accepted to Remote Sensing. "Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard". [arXiv]
• We released the source code of Intensity-based Lidar Camera Calibration (ILCC). [GitHub]
• One paper has been accepted to CVPR Workshop Earth Vision 2017 Workshop. "Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets". [Paper]
• One paper has been accepted to The Fifteenth IAPR International Conference on Machine Vision Applications (MVA2017). "Damage Detection from Aerial Images via Convolutional Neural Networks". [Paper]
• One paper has been accepted to Computer Vision and Image Understanding （CVIU）. [Paper] [Pre-print]
• One paper has been accepted to Remote Sensing. "Incremental and Enhanced Scanline-Based Segmentation Method for Surface Reconstruction of Sparse LiDAR Data".

Projects

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		Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi, Ken Sakurada CVPR2021 [Paper]
		Privacy Preserving Visual SLAM Mikiya Shibuya, Shinya Sumikura, Ken Sakurada ECCV2020 [arXiv] [Project] [Video]
		Weakly Supervised Silhouette-based Semantic Change Detection Ken Sakurada, Mikiya Shibuya, Weimin Wang ICRA2020 [arXiv] [Github] [Dataset]
		TriDepth: Triangular Patch-based Deep Depth Prediction Masaya Kaneko, Ken Sakurada, Kiyoharu Aizawa ICCVW2019 Deep Learning for Visual SLAM (Oral) [arXiv] [Project] [Github]
		Rare Event Detection using Disentangled Representation Learning Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura CVPR 2019 [arXiv]
		Scale Estimation of Monocular SfM for a Multi-modal Stereo Camera Shinya Sumikura, Ken Sakurada Nobuo Kawaguchi and Ryosuke Nakamura ACCV 2018 [arXiv][Video]
		Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard Weimin Wang, Ken Sakurada and Nobuo Kawaguchi Remote Sensing 2017, 9(8) [Paper][arXiv][GitHub]
		Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets Kenji Enomoto, Ken Sakurada, Weimin Wang, Hiroshi Fukui, Masashi Matsuoka, Ryosuke Nakamura and Nobuo Kawaguchi Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) EARTHVISION 2017 [Paper]
		Damage Detection from Aerial Images via Convolutional Neural Networks Aito Fujita, Ken Sakurada, Tomoyuki Imaizumi, Riho Ito, Shuhei Hikosaka, Ryosuke Nakamura IAPR International Conference on Machine Vision and Applications (MVA) 2017 [Paper]
		Incremental and Enhanced Scanline-Based Segmentation Method for Surface Reconstruction of Sparse LiDAR Data Weimin Wang, Ken Sakurada and Nobuo Kawaguchi Remote Sensing 2016, 8(11) [Paper] [Bibtex(BIB)]
		Change Detection from a Street Image Pair using CNN Features and Superpixel Segmentation Ken Sakurada and Takayuki Okatani BMVC, 2015 [Paper] [Supplementary] [Bibtex(BIB)] [Dataset]
		Massive City-scale Surface Condition Analysis using Ground and Aerial Imagery Ken Sakurada, Takayuki Okatani and Kris M. Kiatani ACCV, 2014 (Oral), "Best Application Paper Honorable Mention Award" [Paper] [Bibtex(BIB)]
		Detecting Changes in 3D Structure of a Scene from Multi-view Images Captured by a Vehicle-mounted Camera Ken Sakurada, Takayuki Okatani and Koichiro Deguchi CVPR, 2013 [Paper] [Bibtex(BIB)] [Project] [Dataset]

Main Publications

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Journal Articles

• Weimin Wang, Ken Sakurada and 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 and Takayuki Okatani，
  Temporal city modeling using street level imagery，
  Computer Vision and Image Understanding(CVIU)
[Paper] [Pre-print]
• Weimin Wang, Ken Sakurada and 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 and Kris M. Kitani，
  Hybrid Macro-Micro Visual Analysis，
  Computer Vision and Image Understanding(CVIU), Vol.146, May 2016, pages 86-98
[Paper]

Conference Papers

• 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] [Supplementary] [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]

HONORS AND AWARDS

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• MIRU2019 Demo Award
• MIRU2015 Frontier Award
• ACCV2014 Best Application Paper Honorable Mention Award
• SII2010 Best Paper Award Finalist
• Graduation Honor, Mechanical Major in Graduate School of Information Science, Tohoku University, 2010
• Second Place of Rescue Robot League of RoboCup World 2009 (Team: Pelican United)
• Eiji Muto Student Award, Japan Society for Design Engineering, 2008

Grants

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• Grant-in-Aid for Scientific Research (KAKENHI) Grant-in-Aid for Young Scientists, 2018 - present (PI)
• New Energy and Industrial Technology Development Organization (NEDO), 2017 (Co-Investigator)
• The Horikagakugeijutsu Foundation for Informational Science Advancement Research Grant, 2017 - present (PI)
• JSPS Research Fellowship for Young Scientists (JSPS DC2), 2013 - 2015 (PI)

Services

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• 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, ...