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rémi pautrat rémi pautrat i am a senior research scientist in the spatial ai lab of microsoft in zurich prior joining microsoft i did my bachelor at ecole polytechnique in paris and my master in computer science at eth zurich i then conducted my phd thesis in the computer vision and geometry cvg group at eth zurich under the supervision of prof dr marc pollefeys i also collaborated with and interned at meta reality labs leica geosystems inria nancy grand est and metralabs email nbsp nbsp cv nbsp nbsp google scholar nbsp nbsp github nbsp nbsp linkedin research i am interested in computer vision robotics and deep learning in general my current research aims to improve vision language models vlms pre training and how to infuse spatial understanding into these models i have also a strong track of records and experience in the topics of local feature detection and description based on deep learning and their applications to visual localization and sparse 3d reconstruction your browser does not support the video tag cope videolm leveraging codec primitives for efficient video language modeling sayan deb sarkar rémi pautrat ondrej miksik marc pollefeys iro armeni mahdi rad mihai dusmanu arxiv 2026 project page arxiv cope videolm leverages codec primitives to efficiently process videos for large video language models lightgluestick a fast and robust glue for joint point line matching aidyn ubingazhibov rémi pautrat iago suárez shaohui liu marc pollefeys viktor larsson international conference on computer vision iccv workshop 2025 code arxiv a fast joint point line matcher with graph neural networks relative pose estimation through affine corrections of monocular depth priors yifan yu shaohui liu rémi pautrat marc pollefeys viktor larsson conference on computer vision and pattern recognition cvpr 2025 highlight code arxiv new solvers for relative pose estimation leveraging monocular depth priors and affine corrections robust incremental structure from motion with hybrid features shaohui liu yidan gao tianyi zhang rémi pautrat johannes schönberger viktor larsson marc pollefeys european conference on computer vision eccv 2024 code arxiv an open sourced system that runs structure from motion sfm with points lines and vanishing points features your browser does not support the video tag 3d neural edge reconstruction lei li songyou peng zehao yu shaohui liu rémi pautrat xiaochuan yin marc pollefeys conference on computer vision and pattern recognition cvpr 2024 project page video code arxiv a learned approach to estimate an edge density and extract 3d edges from a scene handbook on leveraging lines for two view relative pose estimation petr hruby shaohui liu rémi pautrat marc pollefeys dániel béla baráth international conference on 3d vision 3dv 2024 spotlight arxiv a complete classification of all solvers for relative pose estimation based on point and line correspondences your browser does not support the video tag gluestick robust image matching by sticking points and lines together rémi pautrat iago suárez yifan yu marc pollefeys viktor larsson international conference on computer vision iccv 2023 project page code arxiv a joint point line matcher with graph neural networks vanishing point estimation in uncalibrated images with prior gravity direction rémi pautrat shaohui liu petr hruby marc pollefeys dániel béla baráth international conference on computer vision iccv 2023 project page code arxiv solvers to extract the 3 orthogonal vanishing points of an uncalibrated image i e unknown focal length given a prior on the gravity direction 3d line mapping revisited shaohui liu yifan yu rémi pautrat marc pollefeys viktor larsson computer vision and pattern recognition cvpr 2023 highlight project page code arxiv an open sourced system that robustly and efficiently constructs 3d line maps from multi view images your browser does not support the video tag deeplsd line segment detection and refinement with deep image gradients rémi pautrat dániel béla baráth viktor larsson martin r oswald marc pollefeys computer vision and pattern recognition cvpr 2023 project page video code arxiv a generic line detector that combines the robustness of deep learning with the accuracy of handcrafted detectors your browser does not support the video tag sold² self supervised occlusion aware line description and detection rémi pautrat juan ting lin viktor larsson martin r oswald marc pollefeys computer vision and pattern recognition cvpr 2021 oral project page video code arxiv a deep line detector and descriptor able to match line segments partially occluded your browser does not support the video tag online invariance selection for local feature descriptors rémi pautrat viktor larsson martin r oswald marc pollefeys european conference on computer vision eccv 2020 oral project page teaser oral code arxiv a learned feature descriptor able to adapt its invariance to illumination and rotation at matching time your browser does not support the video tag object finding in cluttered scenes using interactive perception tonci novkovic rémi pautrat fadri furrer michel breyer roland siegwart juan nieto international conference on robotics and automation icra 2020 project page teaser oral arxiv we leverage reinforcement learning and computer vision to perform interactive perception a robot manipulator has to find a hidden target object in a scene by interacting with its environment your browser does not support the video tag bayesian optimization with automatic prior selection for data efficient direct policy search rémi pautrat konstantinos chatzilygeroudis jean baptiste mouret international conference on robotics and automation icra 2018 video arxiv we propose a new acquisition function for bayesian optimization that combines the likelihood of prior information with the expected improvement we apply it to the task of damage recovery in robotics and automatic adaptation to new environments template gratefully borrowed from jon barron s personal website
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