Research
My Ph.D. research focused on real-time computer vision and robotics, with a particular emphasis on visual SLAM.
I am currently interested in sequential models for video input that enable scalable learning for embodied agents.
Our team periodically hires interns and student researchers; please contact me if you are interested in working at Google’s Munich or Zurich offices.
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4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians
Hidenobu Matsuki,
Gwangbin Bae,
Andrew J. Davison
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
project page
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video
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paper
4D scene reconstruction and camera ego-motion estimation framework based on dynamic surface gaussians.
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Gaussian Splatting SLAM
Hidenobu Matsuki*,
Riku Murai*,
Paul H.J. Kelly,
Andrew J. Davison
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
  (Highlight, Best Demo Award)
project page
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video
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paper
The first Monocular SLAM using Gaussian Splatting as a master representation.
The method also supports RGB-D mode.
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NEWTON: Neural View-Centric Mapping for On-the-Fly Large-Scale SLAM
Hidenobu Matsuki,
Keisuke Tateno,
Michael Niemeyer,
Federico Tombari,
IEEE Robotics and Automation Letters (RA-L), 2024
paper
Multiple local Neural Fields for efficiently handling loop closure in large-scale SLAM.
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iMODE:Real-Time Incremental Monocular Dense Mapping Using Neural Field
Hidenobu Matsuki,
Edgar Sucar,
Tristan Laidlow,
Kentaro Wada,
Raluca Scona,
Andrew J. Davison
IEEE International Conference on Robotics and Automation (ICRA), 2023   (Oral Presentation, Best Navigation Paper Award Finalist)
paper
Generic real-time monocular dense mapping pipeline utilizing the smoothness prior inhereint in Multi Layer Perceptron.
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CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations
Hidenobu Matsuki,
Raluca Scona,
Jan Czarnowski,
Andrew J. Davison,
IEEE Robotics and Automation Letters (RA-L), 2021
paper
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video
Real-time dense mapping framework with compact scene representations from generataive model.
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Omnirectional DSO: Direct Sparse Odometry with Fisheye Cameras
Hidenobu Matsuki,
Lukas von Stumberg,
Vladyslav Usenko,
Jörg Stückler,
Daniel Cremers
IEEE Robotics and Automation Letters (RA-L), 2018
paper
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video
Real-time direct visual odometry for omnidirectional cameras
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Talks
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CVIM研究会,
Fukuoka, Japan (January 2025) — Presentation of the Japanese book chapter.
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World Labs,
San Francisco, USA (June 2024) — “Differentiable Rendering for Dense Visual SLAM.”
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Academic Service
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Conference Reviewer: NeurIPS, ICLR, ICML, ICRA, IROS
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Journal Reviewer: T-PAMI, IJCV, T-RO, IJRR, RA-L, ISPRS
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Misc
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I am a big fan of Rugby, both for playing and watching. I played in an international match when I was in junior high school, and later competed in the Rugby Bundesliga while living in Germany (although it is a much smaller league than its soccer counterpart). I also enjoy drinking beer and whisky, traveling, and watching anime.
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