Yvain Queau
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Documents
Présentation
Yvain Quéau est chargé de recherche (CR) CNRS au GREYC (UMR CNRS 6072) à Caen, France. Il a effectué son doctorat de 2012 à 2015 à l'INP Toulouse sous la direction de Jean-Denis Durou, puis un post-doctorat à TU Munich dans le groupe de Daniel Cremers. Ses domaines de recherches privilégiés sont les problèmes inverses en vision par ordinateur, en particulier les problèmes de reconstruction 3D et leur résolution par des méthodes variationnelles.
Yvain Quéau is a CNRS researcher with GREYC lab in Caen, France. He did his PhD from 2012 to 2015 at INP Toulouse (France) under the supervision of Jean-Denis Durou, and then a postdoc in TU Munich in the group of Daniel Cremers. His research interests are inverse problems in computer vision, and more specifically 3D-reconstruction problems and their solving using variational methods.
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Photometric Depth Super-ResolutionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42 (10), pp.2453--2464. ⟨10.1109/TPAMI.2019.2923621⟩
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Photometric Segmentation: Simultaneous Photometric Stereo and MaskingInternational Conference on 3D Vision (3DV 2019), Sep 2019, Québec, Canada. pp.222-229, ⟨10.1109/3DV.2019.00033⟩
Communication dans un congrès
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Variational Uncalibrated Photometric Stereo under General LightingThe IEEE International Conference on Computer Vision (ICCV 2019), Oct 2019, Seoul, South Korea. pp.8539-8548, ⟨10.1109/ICCV.2019.00863⟩
Communication dans un congrès
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Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2018, Salt Lake City, United States. pp.164-174, ⟨10.1109/CVPR.2018.00025⟩
Communication dans un congrès
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Depth Super-Resolution Meets Uncalibrated Photometric Stereo2017 IEEE International Conference on Computer Vision Workshop (ICCVW), Oct 2017, Venice, Italy. pp.2961-2968, ⟨10.1109/ICCVW.2017.349⟩
Communication dans un congrès
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On the well-posedness of uncalibrated photometric stereo under general lightingDurou, Jean-Denis; Falcone, Maurizio; Queau, Yvain; Tozza, Silvia. Advances in Photometric 3D-Reconstruction, Springer International Publishing, pp.147--176, 2020, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-030-51866-0_5⟩
Chapitre d'ouvrage
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Depth super-resolution from shadingUnited States, Patent n° : 20190340729. 2019
Brevet
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Depth super-resolution from shadingGermany, Patent n° : EP3567549. 2019
Brevet
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