Yvain Queau
99
Documents
Presentation
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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Stéréophotométrie avec estimation locale de l'éclairage - Application à la reconstruction 3D du patrimoine archéologiqueCongrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP 2024), Jul 2024, Lille, France. à paraître
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AI-based Generation of a Multi-Modal Panorama for the Bayeux TapestryAdvances in Applied Mathematics and Learning Approaches for Cultural Heritage and the Arts, Apr 2024, Cagliari (Sardaigne), Italy
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RNb-NeuS: Reflectance and Normal-based Multi-View 3D ReconstructionIEEE / CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2024), IEEE, Jun 2024, Seattle, United States. pp.5230-5239
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A Comparison of Audio-Tactile Exploration Methods to Discover the Tapestry of the ApocalypseInternational Conference on Computers Helping People with Special Needs (ICCHP), Jul 2024, Linz, Austria. pp.481-488, ⟨10.1007/978-3-031-62846-7_57⟩
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Photographic 3D Scanning in the WildAdvances in Applied Mathematics and Learning Approaches for Cultural Heritage and the Arts (2024), Apr 2024, Cagliari, Italy
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Approches classiques et neuronales pour la reconstruction 3D photométriqueOptique Normandie - Congrès de la SFO, 2024, Rouen, France
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Convergence Guarantees of Overparametrized Wide Deep Inverse Prior9th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2023), May 2023, Santa Margherita di Pula, Italy. pp.406-417, ⟨10.1007/978-3-031-31975-4_31⟩
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Multi-View Normal Estimation - Application to Slanted Plane-sweeping9th International Conference on Scale Space and Variational Methods in Computer Vision (SSMV 2023), May 2023, Santa Margherita di Pula, Sardinia, Italy. pp.704-716, ⟨10.1007/978-3-031-31975-4_54⟩
Conference papers
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Thin Details Meet Large-Scale 3D-Reconstruction: Photometric Stereo for Cultural Heritage1st international conference on artificIAl Intelligence and applied MAthematics for History and Archaeology (IAMAHA 2023), CEPAM; INRIA Côte d'Azur; I3S, Nov 2023, Nice, France. pp.Session 3 : AI-AM FOR MATERIALS OF THE PAST
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Vers un accès plus inclusif à la Tapisserie de Bayeux par la génération semi-automatique d'objets 3DORASIS, 19ièmes journées francophones des jeunes chercheurs en vision par ordinateur, May 2023, Carqueiranne, France
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Garanties de convergence pour la résolution de problèmes inverses linéaires par réseaux de neurones génératifsColloque GRETSI, 2023, Nancy, France
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On Photometric Stereo in the Presence of a Refractive Interface9th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2023), May 2023, Santa Margherita di Pula, Sardinia, Italy. pp.691-703, ⟨10.1007/978-3-031-31975-4_53⟩
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MS-PS: A Multi-Scale Network for Photometric Stereo With a New Comprehensive Training DatasetInternational Conference on Computer Graphics, Visualization and Computer Vision, 2023, Pilsen, Czech Republic. pp.194-203, ⟨10.24132/CSRN.3301.23⟩
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3D surface Approximation of the Entire Bayeux Tapestry for Improved Pedagogical Access4th ICCV Workshop on Electronic Cultural Heritage, Oct 2023, Paris, France. pp.1593-1602
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A Shape-from-silhouette Method for 3D-reconstruction of a Convex Polyhedron16th International Conference on Quality Control By Artificial Vision 2023 (QCAV 2023), Jun 2023, Albi, France. pp.1274918, ⟨10.1117/12.3000368⟩
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Read Your Voice - A Playful Interactive Sound Encoder/DecoderWorkshop of 30th ACM International Conference on Multimedia: Interractive Artwork (2022), Oct 2022, Lisbonne, Portugal. à paraître
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Construction d'un jeu de données d'apprentissage adapté pour la reconstruction 3D par stéréophotométrieGRETSI 2022, Sep 2022, Nancy, France
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Inverse Problems and Cultural Heritage AccessibilitySIAM Conference on Imaging Sciences, Mar 2022, Berlin (online), Germany
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Sublabel-Accurate Multilabeling Meets Product Label Spaces43rd DAGM German Conference on Pattern Recognition, 2021, Bonn (online event), Germany
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Photometric 3D-reconstructionInternational Conference on Quality Control by Artificial Vision (QCAV 2021), 2021, Tokushima (online), Japan
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N-D Reconstruction for Cultural Heritage Accessibility: Multimodal and 3D Digitization of the Bayeux TapestryInternational Symposium on Optomechatronic Technology (ISOT) 2021, Nov 2021, Besançon, France
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Fine-scale 3D-copying for Culturage HeritageINDAM Workshop "Mathematical Methods for Objects Reconstruction: from 3D Vision to 3D Printing", Feb 2021, Roma (online), Italy
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Low-rank registration of images captured under unknown, varying lightingInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021), 2021, Cabourg, France. pp.153-164, ⟨10.1007/978-3-030-75549-2_13⟩
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Photometric 3D-reconstructionDTU, DIKU & AAU Summer School on Inverse Problems, Aug 2020, Faaborg, Denmark
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Refractive Multi-view StereoInternational Conference on 3D Vision (3DV 2020), Nov 2020, Fukuoka (on line), Japan. pp.384-393, ⟨10.1109/3DV50981.2020.00048⟩
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Reconstruction 3D d'un insecte piégé dans l'ambreCongrés Reconnaissance des Formes, Image, Apprentissage et Perception - RFIAP 2020, Sep 2020, Vannes, France
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Variational methods for robust and computationally-efficient 3D-reconstructionApplied Inverse Problems Conference - Minisymposium Variational methods for inverse problems in imaging, Laurent Condat; Nelly Pustelnik, Jul 2019, Grenoble, France
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Une solution numérique générique pour la reconstruction 3D d'objets non texturés17èmes journées francophones des jeunes chercheurs en vision par ordinateur (ORASIS), May 2019, Saint-Dié-des-Vosges, France
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Variational methods for photometric 3D-reconstructionImaging in Paris Seminar, Oct 2019, Institut Henri Poincaré, Paris, France
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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⟩
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Macrogroove: A Sound 3D-sculpture Interactive PlayerACM International Conference on Multimedia (MM '19), Oct 2019, Nice, France. pp.1153-1154, ⟨10.1145/3343031.3355709⟩
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A splitting-based algorithm for multi-view stereopsis of textureless objectsSeventh International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Jun 2019, Hofgeismar, Germany. pp.51-53, ⟨10.1007/978-3-030-22368-7_5⟩
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Learning to classify materials using Mueller imaging polarimetryFourteenth International Conference on Quality Control by Artificial Vision (QCAV), May 2019, Mulhouse, France. pp.111720Z, ⟨10.1117/12.2516351⟩
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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⟩
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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⟩
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A Non-Convex Variational Approach to Photometric Stereo under Inaccurate LightingThe IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jul 2017, Honolulu, United States. pp. 99-108, ⟨10.1109/CVPR.2017.45⟩
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Estimation de la réflectance à partir de données multi-vuesORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France
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Stéréophotométrie microscopique sans démosaïquage26eme Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-Pins, France. pp. 1-4
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Semi-Calibrated Near-Light Photometric StereoInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Jun 2017, Kolding, Denmark
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Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing13th International Conference on Quality Control by Artificial Vision (QCAV 2017), May 2017, Tokyo, Japan. pp. 1, ⟨10.1117/12.2266080⟩
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Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed DataSixth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Jun 2017, Kolding, Denmark. pp.308-319, ⟨10.1007/978-3-319-58771-4_25⟩
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A Variational Approach to Shape-from-shading Under Natural Illumination11th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2017), Oct 2017, Venice, Italy. pp.342-357, ⟨10.1007/978-3-319-78199-0_23⟩
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Beyond Multi-view Stereo: Shading-Reflectance Decomposition6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017), Jun 2017, Kolding, Denmark. pp. 694-705, ⟨10.1007/978-3-319-58771-4_55⟩
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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⟩
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Unbiased Photometric Stereo for Colored Surfaces: A Variational ApproachIEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2016), Jun 2016, Las Vegas, NV, United States. pp. 4359-4368
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Near-Field Photometric Stereo in Ambient Light27th British Machine Vision Conference (BMVC 2016), Sep 2016, York, United Kingdom. pp. 1-12
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Optimised photometric stereo via non-convex variational minimisation27th British Machine Vision Conference (BMVC 2016), Sep 2016, York, United Kingdom. pp. 1
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Étalonnage de sources lumineuses de type LEDCongrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2016), Jun 2016, Clermont-Ferrand, France. pp. 1-8
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Highly Efficient Surface Normal IntegrationConference Algoritmy 2016 (ALGORITMY 2016), Mar 2016, Podbanskè, Slovakia. pp. 204-213
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Fusion de données RVB-D par stéréophotométrie coloréeReconnaissance de formes et intelligence artificielle (RFIA 2016), Jun 2016, Clermont-Ferrand, France
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Unifying Diffuse and Specular Reflections for the Photometric Stereo ProblemIEEE Winter Conference on Applications of Computer Vision (WACV 2016), Mar 2016, Lake Placid, NY, United States. pp. 1-9
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Que peut-on apprendre d'une scène vue par une webcam à partir d'images prises au cours d'une journée ensoleillée ?Journées francophones des jeunes chercheurs en vision par ordinateur, Jun 2015, Amiens, France. pp.8
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Some Illumination Models for Industrial Applications of Photometric StereoThe International Conference on Quality Control by Artificial Vision 2015, Jun 2015, Le Creusot, France. pp.95341C, ⟨10.1117/12.2182921⟩
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Edge-Preserving Integration of a Normal Field: Weighted Least Squares and L1 Approaches5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015), May 2015, Lège Cap Ferret, France. pp. 576-588
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A L1-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings5th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2015), May 2015, Lège Cap Ferret, France. pp. 498-510
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Intégration d'un champ de gradient rapide et robuste aux discontinuités Application à la stéréophotométrieReconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France
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Transformation d'un dispositif multimédia webcam-écran en un scanner 3DCOmpression et REprésentation des Signaux Audiovisuels (CORESA), Nov 2014, Reims, France. pp.0
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Intégration d'un champ de gradient rapide et robuste aux discontinuités - Application à la stéréophotométrieCongrès Francophone de Reconnaissance des Formes et Intelligence Artificielle - RFIA 2014, Jun 2014, Rouen, France. pp.0
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Résolution du problème de la stéréophotométrie non calibrée par estimation de l'intensité des éclairagesCongrès des jeunes chercheurs en vision par ordinateur (ORASIS 2013), Jun 2013, Cluny, France
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Quels prétraitements pour la stéréophotométrie non calibrée ?14èmes Journées francophones des jeunes chercheurs en vision par ordinateur (ORASIS 2013), Laboratoire Electronique, informatique et image (LE2I) - Université de Bourgogne, CNRS, Arts et Métiers Paris Tech., Jun 2013, Cluny, France. pp.1-8
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Solving the Uncalibrated Photometric Stereo Problem using Total VariationInternational Conference on Scale Space and Variational Methods in Computer Vision - SSVM 2013, Jun 2013, Schloss Seggau, Austria. pp. 270-281
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Résolution de la stéréophotométrie par apprentissageRFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France
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Reconstruction tridimensionnelle par stéréophotométrieTraitement des images [eess.IV]. Institut National Polytechnique de Toulouse - INPT, 2015. Français. ⟨NNT : 2015INPT0123⟩
Theses
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Advances in Photometric 3D-ReconstructionSpringer International Publishing, 2020, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-030-51866-0⟩
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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⟩
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A Comprehensive Introduction to Photometric 3D-reconstructionDurou, Jean-Denis; Falcone, Maurizio; Queau, Yvain; Tozza, Silvia. Advances in Photometric 3D-Reconstruction, Springer International Publishing, pp.1--29, 2020, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-030-51866-0_1⟩
Book sections
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Depth super-resolution from shadingUnited States, Patent n° : 20190340729. 2019
Patents
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Depth super-resolution from shadingGermany, Patent n° : EP3567549. 2019
Patents
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Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent2024
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Convergence Guarantees of Overparametrized Wide Deep Inverse Prior2023
Preprints, Working Papers, ...
hal-04033169v1
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Multi-view Stereo of an Object Immersed in a Refractive Medium2023
Preprints, Working Papers, ...
hal-04101580v1
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A principled approach to polychromatic X-RAY tomography for metal artifact reduction2023
Preprints, Working Papers, ...
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Image Processing for Cultural Heritage Accessibility: Digitizing the Bayeux Tapestry2022
Preprints, Working Papers, ...
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LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution2017
Preprints, Working Papers, ...
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Variational Methods for Normal Integration2016
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Normal Integration: A Survey2016
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