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PhD student in the Computer Vision and Geometry group at ETH Zurich.
I started in February 2020 and am supervised by Prof. Marc Pollefeys. I am interested in solving 3D computer vision and geometry problems, especially large-scale visual mapping and localization, using Deep Learning. I have previously worked as a research intern at Google Research in Zurich, Facebook Reality Labs in London, the Microsoft Mixed Reality & AI lab in Zurich, and Magic Leap in San Francisco. I have also spent time at ASL, Traverse.ai, NUS, and EPFL.
09/2024: | I am presenting our new work GeoCalib at ECCV 2024. |
06/2024: | I successfully defended my PhD thesis! |
07/2023: | LightGlue, our new super-fast deep neural network for feature matching, got accepted to ICCV 2023. |
06/2023: | I spent 6 months at Google and worked on SNAP, a framework that infers rich neural maps from streetview and aerial images using self-supervision. |
04/2023: | OrienterNet, which I worked on during an internship at Meta Reality Labs, got accepted to CVPR 2023. |
10/2022: | We're releasing LaMAR, a benchmark for visual localization and mapping with Augmented Reality devices! Check out our ECCV 2022 paper and dedicated 4-hour tutorial. |
07/2022: | I attended ICVSS 2022 and received the Best Presentation Award, covering almost 3 years of research: SuperGlue, Back to the Feature, and Pixel-Perfect SfM. |
10/2021: | We received the Best Student Paper Award at ICCV 2021 for our work on Pixel-Perfect Structure-from-Motion! Learn more about it by watching our detailed video. |
09/2021: | I joined Facebook Reality Labs for a research internship. |
08/2021: | We released a preview of the upcoming ETH-Microsoft visual localization dataset as part of an ICCV 2021 challenge. It focuses on AR scenarios in challenging conditions. |
06/2021: | Our paper Back to the Feature will appear at CVPR 2021. Check out our cool visualizations 💥 |
05/2021: | I received the Graduate Award 2020 of the SEW-Eurodrive Foundation for my Master's thesis SuperGlue. |
04/2021: | I joined the Microsoft Mixed Reality & AI lab in Zurich as a research intern. |
08/2020: | SuperGlue and my toolbox hloc won 4 ECCV 2020 competitions on visual localization. I gave two talks at two workshops (here and there), and released my slides below. |
07/2020: | I just released hloc, a new toolbox for visual localization and structure-from-motion with SuperGlue and other modern approaches. |
06/2020: | SuperGlue won 3 CVPR 2020 competitions: local features for visual localization, visual localization for handheld devices, and the image matching challenge. As a result, I gave 4 talks at various CVPR 2020 workshops, with recordings publicly available. |
04/2020: | My Master's thesis SuperGlue, conducted at Magic Leap, got accepted to CVPR 2020 for oral presentation! The code is now publicly available. |
02/2020: | I joined Prof. Marc Pollefeys’ group as a PhD student. |
10/2019: | Our Fishyscapes Benchmark paper was presented as an oral at the ICCV 2019 workshop on Autonomous Driving. The benchmark is up and running at fishyscapes.com. |
06/2019: | Our Hierarchical Localization paper won the Visual Localization Challenge at the CVPR 2019 workshop on Long-Term Visual Localization. The code is available on GitHub. |
04/2019: | I started my 6-month Master’s thesis with Tomasz Malisiewicz at Magic Leap in Sunnyvale, California. |
04/2019: | New preprint on uncertainty estimation: The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation. |
04/2019: | My second paper From Coarse to Fine: Robust Hierarchical Localization at Large Scale got accepted to CVPR 2019. |
09/2018: | My first paper Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization got accepted to CoRL 2018. |
06/2018: | I started a 6-month internship at Magic Leap, Zurich. |
GeoCalib: Learning Single-image Calibration with Geometric Optimization
ECCV 2024
Paper | Video | Code | Poster | Slides | Bibtex@inproceedings{veicht2024geocalib, author = {Alexander Veicht and Paul-Edouard Sarlin and Philipp Lindenberger and Marc Pollefeys}, title = {{GeoCalib: Single-image Calibration with Geometric Optimization}}, booktitle = {ECCV}, year = {2024} }
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
NeurIPS 2023
Paper | Video | Code | Poster | Bibtex@inproceedings{sarlin2023snap, author = {Paul-Edouard Sarlin and Eduard Trulls and Marc Pollefeys and Jan Hosang and Simon Lynen}, title = {{SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding}}, booktitle = {NeurIPS}, year = {2023} }
LightGlue: Local Feature Matching at Light Speed
ICCV 2023
Paper | Code | Poster | Bibtex@inproceedings{lindenberger2023lightglue, author = {Philipp Lindenberger and Paul-Edouard Sarlin and Marc Pollefeys}, title = {{LightGlue: Local Feature Matching at Light Speed}}, booktitle = {ICCV}, year = {2023} }
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
CVPR 2023
Paper | Code | Video | Webpage | Bibtex@inproceedings{sarlin2023orienternet, author = {Paul-Edouard Sarlin and Daniel DeTone and Tsun-Yi Yang and Armen Avetisyan and Julian Straub and Tomasz Malisiewicz and Samuel Rota Bulo and Richard Newcombe and Peter Kontschieder and Vasileios Balntas}, title = {{OrienterNet: Visual Localization in 2D Public Maps with Neural Matching}}, booktitle = {CVPR}, year = {2023}, }
LaMAR: Benchmarking Localization and Mapping for Augmented Reality
ECCV 2022
Paper | Webpage | Video | Microsoft Research Blog | Bibtex@inproceedings{sarlin2022lamar, author = {Paul-Edouard Sarlin and Mihai Dusmanu and Johannes L. Schönberger and Pablo Speciale and Lukas Gruber and Viktor Larsson and Ondrej Miksik and Marc Pollefeys}, title = {{LaMAR: Benchmarking Localization and Mapping for Augmented Reality}}, booktitle = {ECCV}, year = {2022}, }
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
ICCV 2021 - best student paper award
Paper | Webpage | Code | Bibtex@inproceedings{lindenberger2021pixsfm, title = {{Pixel-Perfect Structure-from-Motion with Featuremetric Refinement}}, author = {Philipp Lindenberger and Paul-Edouard Sarlin and Viktor Larsson and Marc Pollefeys}, booktitle = {ICCV}, year = {2021}, }
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
CVPR 2021
Paper | Webpage | Code | Bibtex@inproceedings{sarlin2021pixloc, title = {{Back to the Feature: Learning Robust Camera Localization from Pixels to Pose}}, author = {Paul-Edouard Sarlin and Ajaykumar Unagar and Måns Larsson and Hugo Germain and Carl Toft and Viktor Larsson and Marc Pollefeys and Vincent Lepetit and Lars Hammarstrand and Fredrik Kahl and Torsten Sattler}, booktitle = {CVPR}, year = {2021}, }
SuperGlue: Learning Feature Matching with Graph Neural Networks
CVPR 2020 - oral presentation and winner of 7 competitions on localization and matching
Paper | Webpage | Code | Bibtex@inproceedings{sarlin2020superglue, title = {{SuperGlue: Learning Feature Matching with Graph Neural Networks}}, author = {Paul-Edouard Sarlin and Daniel DeTone and Tomasz Malisiewicz and Andrew Rabinovich}, booktitle = {CVPR}, year = {2020}, }
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
ICCV Workshops 2019
Paper | Webpage | Bibtex@inproceedings{blum2019fishyscapes, title = {{The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation}}, author = {Hermann Blum and Paul-Edouard Sarlin and Juan Nieto and Roland Siegwart and Cesar Cadena}, booktitle = {ICCV Workshops}, year = {2019} }
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
CVPR 2019 - winner of the visual localization challenge
Paper | Code | Bibtex@inproceedings{sarlin2019coarse, title = {{From Coarse to Fine: Robust Hierarchical Localization at Large Scale}}, author = {Paul-Edouard Sarlin and Cesar Cadena and Roland Siegwart and Marcin Dymczyk}, booktitle = {CVPR}, year = {2019} }
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization
CoRL 2018
Paper | Video | Code | Bibtex@inproceedings{hloc2018, title = {{Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization}}, author = {Paul-Edouard Sarlin and Fr{\'{e}}d{\'{e}}ric Debraine and Marcin Dymczyk and Roland Siegwart and Cesar Cadena}, booktitle = {Conference on Robot Learning (CoRL)}, year = {2018} }
09/2023: | Localization and Mapping with 2D Neural Maps. Grab Singapore. |
07/2023: | Learning to Map the World. Zurich Computer Vision Meetup on Building a digital world. Zurich, Switzerland. |
04/2023: | OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. Google Research. Zurich, Switzerland. |
10/2022: | Tutorial on Localization and Mapping for Augmented Reality. ECCV 2022. Tel-Aviv, Israel. |
09/2022: | Learning Priors for Visual Localization and Mapping. Daniel Cremers' Computer Vision Group, TU Munich. |
09/2022: | Learning Priors for Visual Localization and Mapping. Wayve. |
07/2022: | Learning Priors for Visual Localization. ICVSS 2022. Sicily, Italy. [Poster] |
04/2022: | Learning Priors for Large-scale Visual Localization in all Conditions. Noah Snavely's Group, Cornell Tech. |
11/2021: | Pixel-Perfect Structure-from-Motion with Featuremetric Refinement. Mixed Reality Seminar, Microsoft. |
11/2021: | Featuremetric Optimization as a Substitute for Good Keypoints. MatchLab, Imperial College London. |
08/2020: | Hierarchical Localization with hloc and SuperGlue. ECCV 2020 Workshop on Long-Term Visual Localization under Changing Conditions. Glasgow, UK. [Slides, Video] |
08/2020: | Hierarchical Localization with hloc and SuperGlue. ECCV 2020 Workshop on Map-based Localization for Autonomous Driving. Glasgow, UK. [Slides, Video] |
06/2020: | SuperGlue: Winner of the Image Matching Challenge. CVPR 2020 Workshop on Image Matching: Local Features & Beyond. Seattle WA, USA. [Video] |
06/2020: | SuperGlue: Learning Feature Matching with Graph Neural Networks. CVPR 2020 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics. Seattle WA, USA. [Video] |
06/2020: | SuperGlue for Indoor and Outdoor Visual Localization. CVPR 2020 Workshop on Long-Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM. Seattle WA, USA. [Video] |
06/2020: | SuperGlue for Day-Night Local Feature Matching. CVPR 2020 Workshop on Long-Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM. Seattle WA, USA. [Video] |
06/2019: | From Coarse to Fine: Robust Hierarchical Localization at Large Scale. CVPR 2019 Workshop on Long-Term Visual Localization under Changing Conditions. Long beach CA, USA. |