Scholar
Paul-Edouard Sarlin
Google Scholar ID: 2fAUgfAAAAAJ
Researcher at Google
Computer Vision
Deep Learning
3D Geometry
Visual Localization
Structure-from-Motion
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Citations & Impact
All-time
Citations
6,679
H-index
12
i10-index
12
Publications
18
Co-authors
30
list available
Contact
Email
paul.edouard.sarlin@gmail.com
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Publications
4 items
RaCo: Ranking and Covariance for Practical Learned Keypoints
2026
Cited
0
Scaling Image Geo-Localization to Continent Level
2025
Cited
0
Benchmarking Egocentric Visual-Inertial SLAM at City Scale
2025
Cited
0
MP-SfM: Monocular Surface Priors for Robust Structure-from-Motion
2025
Cited
0
Resume (English only)
Academic Achievements
2025: Released a new dataset and benchmark for large-scale egocentric SLAM; paper accepted to ICCV 2025
2025: Received DAGM MVTec Dissertation Award at GCPR 2025
2025: Presented MP-SfM at CVPR 2025
2024: Awarded the prestigious ETH Silver Medal for PhD thesis
2024: Presented GeoCalib at ECCV 2024
2023: LightGlue accepted to ICCV 2023
2023: Worked on SNAP framework during Google internship
2023: OrienterNet accepted to CVPR 2023
2022: Released LaMAR benchmark for AR-based visual localization (ECCV 2022)
2022: Received Best Presentation Award at ICVSS 2022
2021: Pixel-Perfect Structure-from-Motion received Best Student Paper Award at ICCV 2021
2021: Back to the Feature published at CVPR 2021
2020: SuperGlue and hloc won 4 ECCV 2020 visual localization challenges
2020: SuperGlue won 3 CVPR 2020 competitions and was selected for oral presentation
2019: Hierarchical Localization won the Visual Localization Challenge at CVPR 2019 workshop
2019: Fishyscapes Benchmark presented orally at ICCV 2019 workshop on Autonomous Driving
Research Experience
Researcher at Google Geo (Maps, StreetView, Earth), Zurich (since Oct 2024): working on mapping problems
Intern at Google Research Zurich: developed SNAP, a self-supervised framework for neural map inference from streetview and aerial images
Research Intern at Facebook Reality Labs, London: worked on OrienterNet
Research Intern at Microsoft Mixed Reality & AI Lab, Zurich
Conducted Master’s thesis at Magic Leap, San Francisco
Spent time at ASL, Traverse.ai, NUS, and EPFL
Co-authors
30 total
Marc Pollefeys
Professor of Computer Science, ETH Zurich, and Director Spatial AI Lab, Microsoft
Co-author 2
Daniel DeTone
Research Scientist at Meta Reality Labs
Co-author 4
Cesar Cadena
Senior Scientist (tenured), ETH Zurich
Roland Siegwart
Professor of Robotics, ETH Zurich, Switzerland
Co-author 7
Viktor Larsson
Assistant Professor at Lund University
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