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PhD student in the Computer Vision and Geometry group at ETH Zurich.
I joined the group in February 2020, and am supervised by Prof. Marc Pollefeys. My research interests lie in the interplay between Computer Vision, 3D Geometry, and Deep Learning.
I was previously a research intern at Magic Leap in San Francisco. I obtained a Master’s degree in Robotics at ETH Zurich, during which I conducted research at ASL on visual localization and uncertainty estimation. Before this, I spent time at Traverse.ai, NUS, and EPFL.
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. |
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} }
08/28/2020: | Hierarchical Localization with hloc and SuperGlue. ECCV 2020 Workshop on Long-Term Visual Localization under Changing Conditions. Glasgow, UK. [Link | Slides] |
08/23/2020: | Hierarchical Localization with hloc and SuperGlue. ECCV 2020 Workshop on Map-based Localization for Autonomous Driving. Glasgow, UK. [Link | Slides] |
06/19/2020: | SuperGlue: Winner of the Image Matching Challenge. CVPR 2020 Workshop on Image Matching: Local Features & Beyond. Seattle WA, USA. [Link | Video] |
06/15/2020: | SuperGlue: Learning Feature Matching with Graph Neural Networks. CVPR 2020 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics. Seattle WA, USA. [Link | Video] |
06/15/2020: | 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. [Link | Video] |
06/15/2020: | 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. [Link | Video] |
06/17/2019: | 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. |