Rui Wang (王锐)

I am a Senior Research Scientist at the Microsoft Spatial AI Lab in Zurich. Before joining Microsoft, I pursued my PhD in Computer Science in the Computer Vision Group at TUM, where I was advised by Prof. Daniel Cremers. In 2018, I did an internship in the Nvidia Robotics Research Lab in Seattle, supervised by Prof. Dieter Fox. In parallel with pursuing my PhD, I also worked as a Senior Computer Vision Researcher at Artisense, a startup co-founded by Prof. Cremers. I received my Master from TUM and my Bachelor from Xi'an Jiaotong University.

My research interests include visual odometry, SLAM, visual 3D reconstruction, as well as their combinations with semantic information. More broadly, I am interested in computer vision and machine learning.

If you are interested in these topics, feel free to reach out for internship and thesis opportunities.

Email  /  Google Scholar  /  LinkedIn  /  GitHub  /  Homepage@TUM

profile photo
News
[04/2024] We have two papers accepted by CVPR, one by ICRA, one by RA-L. Congrats to the co-authors.
[03/2021] I join the Microsoft Mixed Reality & AI Lab Zurich as a Senior Research Scientist.
[05/2020] We are organizing a workshop with a challenge on Map-based Localization for Autonomous Driving at ECCV 2020.
[05/2018] I will be interning with Dieter Fox in the Nvidia Robotics Research Lab in Seattle.
[03/2018] I join Artisense as a Senior Computer Vision Researcher and continue my PhD there.
Education
blind-date Technical University of Munich
PhD
Computer Science
2016-2021
blind-date Technical University of Munich
Master
Electrical Engineering and Information Technology
2011-2014
blind-date Xi'an Jiaotong University
Bachelor
Automation
2007-2011
Highlight Videos
Publications
fast-texture Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
Weirong Chen, Ganlin Zhang, Felix Wimbauer, Rui Wang, Nikita Araslanov, Andrea Vedaldi, Daniel Cremers
ICCV, 2025   (Oral Presentation, Award Candidate)
paper | project page
fast-texture VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition
Yun-Jin Li, Mariia Gladkova, Yan Xia, Rui Wang, Daniel Cremers
3DV, 2025
paper | project page | code
fast-texture 4Seasons: Benchmarking Visual SLAM and Long-Term Localization for Autonomous Driving in Challenging Conditions
Patrick Wenzel, Nan Yang, Rui Wang, Niclas Zeller, Daniel Cremers
IJCV, 2024
paper
fast-texture A Spatiotemporal Hand-Eye Calibration for Trajectory Alignment in Visual(-Inertial) Odometry Evaluation
Zichao Shu, Lijun Li, Rui Wang, Zetao Chen
RA-L, 2024
paper
fast-texture F3Loc: Fusion and Filtering for Floorplan Localization
Changan Chen, Rui Wang, Christoph Vogel, Marc Pollefeys
CVPR, 2024   (Highlight)
paper | project page | code | dataset
fast-texture LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
Weirong Chen, Le Chen, Rui Wang, Marc Pollefeys
CVPR, 2024
paper | project page
fast-texture Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization
Le Chen, Weirong Chen, Rui Wang, Marc Pollefeys
ICRA, 2024
paper | video
fast-texture CASSPR: Cross Attention Single Scan Place Recognition
Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, Joao F Henriques, Daniel Cremers
ICCV, 2023
paper | code
fast-texture SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla
CVPR, 2021   (Oral Presentation)
paper | code
fast-texture Tight Integration of Feature-based Relocalization in Monocular Direct Visual Odometry
Mariia Gladkova, Rui Wang, Niclas Zeller, Daniel Cremers
ICRA, 2021
paper | project page | video | teaser video
fast-texture 4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving
Patrick Wenzel, Rui Wang, Nan Yang, Qing Cheng, Qadeer Khan,Lukas von Stumberg, Niclas Zeller, Daniel Cremers
GCPR, 2020
paper | project page | dataset | video
fast-texture Learning Monocular 3D Vehicle Detection without 3D Bounding Box Labels
Lukas Koestler, Nan Yang, Rui Wang, Daniel Cremers
GCPR, 2020
paper | supplement | project page | data | video | teaser video
fast-texture DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
Juan Du*, Rui Wang*, Daniel Cremers
ECCV, 2020   (*equal contribution)   (Spotlight Presentation)
paper | supplement | project page | code | data | video | teaser video
fast-texture D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers
CVPR, 2020   (Oral Presentation)
paper & supplement | project page | video
fast-texture DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation
Rui Wang, Nan Yang, Joerg Stueckler, Daniel Cremers
ICRA, 2020
paper | supplement | project page | video | presentation
fast-texture Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
Nan Yang, Rui Wang, Joerg Stueckler, Daniel Cremers
ECCV, 2020   (Oral Presentation)
paper | supplement | project page | video | presentation
fast-texture Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect
Nan Yang*, Rui Wang*, Xiang Gao, Daniel Cremers
RA-L and IROS, 2018   (*equal contribution)
paper
fast-texture LDSO: Direct Sparse Odometry with Loop Closure
Xiang Gao, Rui Wang, Nikolaus Demmel, Daniel Cremers
IROS, 2018
paper | project page | video | code
fast-texture Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM
Paul Bergmann, Rui Wang, Daniel Cremers
RA-L and ICRA, 2018   (Best Vision Paper Award - Finalist)
paper | project page | video | code
fast-texture Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras
Rui Wang*, Martin Schwoerer*, Daniel Cremers
ICCV, 2017   (*equal contribution)
paper | supplement | project page | video (VO) | video (SLAM)
Patents
  1. Visual localization
    Rui Wang, Christoph Vogel, Marc Pollefeys
    US Patent App. 18/420,753, 2025
  2. Image sequence trajectories for visual odometry
    Rui Wang, Marc Pollefeys, Weirong Chen
    US Patent App. 18/400,708, 2025
  3. Generating images for neural network training
    Rui Wang, Le Chen, Marc Pollefeys
    US Patent App. 18/191,845, 2024
  4. Matching between 2D and 3D for direct localization
    Johannes Schönberger, Rui Wang, Prune Truong, Marc Pollefeys
    US Patent App. 18/055,722, 2024
  5. Deep virtual stereo odometry
    Nan Yang, Rui Wang
    US Patent 11,064,178, 2021
Academic Services

Conference reviewer
CVPR, ICCV, ECCV, ICRA, IROS, AAAI, NeurIPS, ICLR, ICML

Journal reviewer
RA-L, T-RO, AURO, TMM, P&RS, Pattern Recognition, IJRR

Organizer
ECCV 2020 Workshop on Map-based Localization for Autonomous Driving


Created based on Jon Barron's code.

Last updated: July 2025