Scholar
Rémi Pautrat
Google Scholar ID: Td153NoAAAAJ
Microsoft, ETH Zürich, Ecole polytechnique, INRIA
Citations & Impact
Citations
628
H-index
9
i10-index
9
Publications
15
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - 3D Neural Edge Reconstruction, CVPR 2024
- - Handbook on Leveraging Lines for Two-View Relative Pose Estimation, 3DV 2024 (Spotlight)
- - GlueStick: Robust Image Matching by Sticking Points and Lines Together, ICCV 2023
- - Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction, ICCV 2023
- - 3D Line Mapping Revisited, CVPR 2023 (Highlight)
- - DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients, CVPR 2023
- - SOLD²: Self-supervised Occlusion-aware Line Description and Detection, CVPR 2021 (Oral)
- - Online Invariance Selection for Local Feature Descriptors, ECCV 2020 (Oral)
- - Object Finding in Cluttered Scenes Using Interactive Perception, Other Conferences
Research Experience
- Research Scientist at Microsoft Spatial AI Lab; Collaborated and interned at Meta Reality Labs, Leica Geosystems, INRIA Nancy - Grand Est, and MetraLabs.
Education
- Bachelor's Degree: École polytechnique, Paris; Master's Degree: ETH Zurich, Computer Science; PhD: ETH Zurich, Computer Vision and Geometry (CVG) group, supervised by Prof. Dr. Marc Pollefeys.
Background
- Research Interests: Computer Vision, Robotics, and Deep Learning. Research focuses on local feature detection and description based on deep learning, and their applications to visual localization and sparse 3D reconstruction.
Miscellany
- Contact: Email / CV / Google Scholar / Github / LinkedIn
