Nicolas Papadakis
- Modélisation Mathématique pour l'Oncologie (MONC)
- Institut de Mathématiques de Bordeaux (IMB)
Présentation
CNRS researcher at the Institut de Mathématiques de Bordeaux
Publications
Publications
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From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave samplingNeural Information Processing Systems (NeurIPS'25), Dec 2025, San Diego (California), United States |
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Equivariant Denoisers for Image RestorationInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'25), May 2025, Totnes, Devon, United Kingdom. pp.227 - 240, ⟨10.1007/978-3-031-92366-1_18⟩ |
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LATINO-PRO: LAtent consisTency INverse sOlver with PRompt OptimizationIEEE International Conference on Computer Vision (ICCV'25), Oct 2025, Honololu, Hawaii, United States. ⟨10.48550/arXiv.2503.12615⟩ |
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Convergence Analysis of a Proximal Stochastic Denoising Regularization AlgorithmInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'25), May 2025, Totnes, Devon, United Kingdom |
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A unified framework for hard and soft clustering with regularized optimal transportEuropean Signal Processing Conference (EUSIPCO'24), Aug 2024, Lyon, France |
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Plug-and-Play image restoration with Stochastic deNOising REgularizationInternational Conference on Machine Learning (ICML'24), Jul 2024, Vienna & Online, Austria |
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Efficient Posterior Sampling For Diverse Super-Resolution with Hierarchical VAE PriorInternational Conference on Computer Vision Theory and Applications (VISAPP'24), Feb 2024, Rome, Italy. ⟨10.5220/0012352800003660⟩ |
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Inverse problem regularization with hierarchical variational autoencodersIEEE International Conference on Computer Vision (ICCV'23), Oct 2023, Paris, France |
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A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiserInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'23), May 2023, Santa Margherita di Pula, Italy. ⟨10.1007/978-3-031-31975-4_29⟩ |
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A patch-based architecture for multi-label classification from single label annotationsInternational Conference on Computer Vision Theory and Applications (VISAPP'23), Jan 2023, Lisbon, Portugal |
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Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse ProblemsNeural Information Processing Systems (NeurIPS'23), Dec 2023, New Orleans, United States |
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Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer ClassificationInternational Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'22), Sep 2022, Singapour, Singapore |
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SCOTCH and SODA: A Transformer Video Shadow Detection FrameworkIEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR'23), Jun 2023, Vancouver, Canada |
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Proximal denoiser for convergent plug-and-play optimization with nonconvex regularizationInternational Conference on Machine Learning (ICML'22), Jul 2022, Baltimore, United States |
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Gradient Step Denoiser for convergent Plug-and-PlayInternational Conference on Learning Representations (ICLR'22), Apr 2022, Online, United States |
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Débruiteur "descente de gradient" pour la convergence d'une méthode Plug-and-PlayColloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'22), Sep 2022, Nancy, France |
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Apprentissage d'une fonction de régularisation locale pour la restauration d'imagesCongrès des jeunes chercheurs en vision par ordinateur (ORASIS'21), Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France |
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Where are my clothes? A multi-level approach for evaluating deep instance segmentation architectures on fashion imagesCVPR Workshop on Computer Vision for Fashion, Art, and Design (CVFAD'21), Jun 2021, Virtual event, United States. pp.3951-3955, ⟨10.1109/CVPRW53098.2021.00443⟩ |
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POPCORN: Progressive Pseudo-labeling with Consistency Regularization and NeighboringInternational Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'21), Sep 2021, Strasbourg (virtual), France. pp.373-382, ⟨10.1007/978-3-030-87196-3_35⟩ |
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Wasserstein Generative Models for Patch-based Texture SynthesisInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'21), May 2021, Cabourg, France. pp.269--280, ⟨10.1007/978-3-030-75549-2_22⟩ |
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Learning local regularization for variational image restorationInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'21), May 2021, Cabourg, France. pp.358-370, ⟨10.1007/978-3-030-75549-2_29⟩ |
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Étude comparative de méthodologies issues de Mask R-CNN : Application au Corpus DeepFashion2Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP'20), Jun 2020, Vannes, France. pp.1-3 |
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Learning to segment microscopy images with lazy labelsECCV Workshop on BioImage Computing (BIC'20), Aug 2020, Glasgow, United Kingdom. pp.411-428 |
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GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal SupervisionInternational Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'19), Oct 2019, Shenzen, China. pp.504-512 |
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Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image ClassificationIEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Jul 2019, Yokohama, Japan. pp.592-595 |
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Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penaltiesInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'19), Jun 2019, Hofgeismar, Germany. pp.131-143, ⟨10.1007/978-3-030-22368-7_11⟩ |
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Texture-Aware Superpixel SegmentationIEEE International Conference on Image Processing (ICIP'19), Sep 2019, Taipei, Taiwan. pp.1465-1469 |
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Superpixels adaptés localement aux texturesColloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'19), Aug 2019, Lille, France |
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SuperPatchMatch : Un algorithme de correspondances robustes de patchs de superpixelsCongrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP'18), May 2018, Marne-la-Vallée, France |
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Transfert de couleurs basé superpixelsColloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'17), Sep 2017, Juan-les-Pins, France |
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Regularized Barycenters in the Wasserstein Space3rd International Conference Geometric Science of Information (GSI'17), Nov 2017, Paris, France. pp.83-90, ⟨10.1007/978-3-319-68445-1_10⟩ |
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Luminance-Guided Chrominance Denoising with Debiased Coupled Total VariationEnergy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'17), Oct 2017, Venise, Italy. pp.235-248 |
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Décomposition en superpixels via l’utilisation de chemin linéaireColloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'17), Sep 2017, Juan-les-Pins, France |
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Superpixel-based Color TransferIEEE International Conference on Image Processing (ICIP'17), Sep 2017, Beijing, China. pp.700-704 |
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Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergenceSignal Processing with Adaptive Sparse Structured Representations (SPARS'17), Jun 2017, Lisbon, Portugal |
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Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal TransportNIPS Workshop on Optimal Transport & Machine Learning (OTML'17), Dec 2017, Long Beach, United States |
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Robust Shape Regularity Criteria for Superpixel EvaluationIEEE International Conference on Image Processing (ICIP'17), Sep 2017, Beijing, China. pp.3455-3459 |
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An improved optical flow tracking technique for real-time MR-guided beam therapies in moving organsIEEE International Symposium on Biomedical Imaging (ISBI'16), Apr 2016, Prague, Czech Republic |
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SCALP: Superpixels with Contour Adherence using Linear PathInternational Conference on Pattern Recognition (ICPR'16), Dec 2016, Cancun, Mexico. pp.2374-2379 |
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On debiasing restoration algorithms: applications to total-variation and nonlocal-meansInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), May 2015, Lège Cap Ferret, France. pp.129-141 |
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Convex Color Image Segmentation with Optimal Transport DistancesInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), May 2015, Lège Cap Ferret, France. pp.256-269 |
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Contrast re-enhancement of Total-Variation regularization jointly with the Douglas-Rachford iterationsSignal Processing with Adaptive Sparse Structured Representations (SPARS'15), Jul 2015, Cambridge, United Kingdom |
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Co-segmentation non-supervisée d'images utilisant les distances de SinkhornColloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'15), Sep 2015, Lyon, France |
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Non-convex Relaxation of Optimal Transport for Color Transfer Between ImagesGeometric Science of Information (GSI'15), Oct 2015, Paris-Saclay, France. pp.87-95 |
Fundamentals of Non-Local Total Variation Spectral TheoryInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), May 2015, Lège-Cap Ferret, France. pp.66-77, ⟨10.1007/978-3-319-18461-6_6⟩ |
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Optimisation de l'algorithme PatchMatch pour la segmentation de structures anatomiquesColloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'15), Sep 2015, Lyon, France |
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Adaptive Color Transfer With Relaxed Optimal TransportIEEE international Conference on Image Processing (ICIP'14), Oct 2014, Paris, France. pp.4852-4856 |
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Exemplar-based colorization in RGB color spaceIEEE Internationnal Conference on Image Processing (ICIP'14), Oct 2014, Paris, France. pp.1-5 |
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Accounting for correlated observation errors in image data assimilationConférence Africaine sur la Recherche en Informatique et Mathématiques Appliquées (CARI'14), Oct 2014, Saint Louis, Senegal |
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Assimilation de séquences d'images : vers une prise en compte des corrélations spatiales au sein des erreurs d'observationJournées Francophones "Extraction et Gestion des Connaissances" (EGC'14), Jan 2014, Rennes, France. pp.1-11 |
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Une formulation convexe pour la segmentation binaire d'images à partir d'histogrammes.Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'13), Sep 2013, Brest, France. pp.1-4 |
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Assimilation directe de séquences d'images de traceur passif : application aux équations de Saint-VenantColloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'13), Sep 2013, Brest, France. pp.1-4 |
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A convex formulation for global histogram based binary segmentationEnergy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'13), Aug 2013, Lund, Sweden. pp.1-14 |
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Regularized Discrete Optimal TransportInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'13), Jun 2013, Schloss Seggau, Leibnitz, Austria. pp.428-439, ⟨10.1007/978-3-642-38267-3_36⟩ |
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Assimilation d'images et de structuresColloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'13), Sep 2013, Brest, France. pp.1-4 |
Optimal transport with proximal splittingSIAM Conference on Analysis of Partial Differential Equations, Dec 2013, United States |
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Assimilation directe de séquences d'images bruitésColloque National sur l'Assimilation de Données, Dec 2012, Nice, France |
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Data assimilation with state alignment using high-level image structures detectionInternational Conference on Computer Vision in Remote Sensing (CVRS'12), Dec 2012, Xiamen, China. pp.78-83, ⟨10.1109/CVRS.2012.6421237⟩ |
Assimilation directe de séquences d'imagesAdvanced data assimilation for geosciences, May 2012, Les Houches, France |
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Méthodes numériques pour le transport optimal: application en analyse d'imageCANUM 2012 - Congrès National d'Analyse Numérique, May 2012, Super-Besse, France |
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Data assimilation with state alignment using the EnKFAmerican Geophysical Union Fall Meeting - 2012, Dec 2012, San Francisco, United States |
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Active Contours without Level SetsIEEE International Conference on Image Processing (ICIP'12), Sep 2012, Orlando, Florida, United States. pp.2549-2552, ⟨10.1109/ICIP.2012.6467418⟩ |
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Stereoscopic Image Inpainting using scene geometryIEEE International Conference on Multimedia and Expo (ICME'11), Jul 2011, Barcelona, Spain. pp.1-6, ⟨10.1109/ICME.2011.6011901⟩ |
Assimilation of Images: A variational frameworkISEC - International Symposium on Earth-science Challenges, Sep 2011, Norman, Oklahoma, United States |
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Virtual camera synthesis for soccer game replaysConference on Visual Media Production (CVMP'10), Nov 2010, London, United Kingdom. pp.1-8 |
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Stereoscopic image inpainting: distinct depth maps and images inpaintingInternational Conference on Pattern Recognition (ICPR'10), 2010, Istanbul, Turkey. pp.4101-4104, ⟨10.1109/ICPR.2010.997⟩ |
Polyconvexification of the multi-label optical flow problemIEEE International Conference on Image Processing (ICIP'10), Sep 2010, Hong-Kong, China. pp.765-768, ⟨10.1109/ICIP.2010.5652107⟩ |
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Coherent Background Video Inpainting through Kalman Smoothing along TrajectoriesInternational Workshop on Vision, Modeling, and Visualization (VMV'10), Nov 2010, Siegen, Germany. pp.123-130, ⟨10.2312/PE/VMV/VMV10/123-130⟩ |
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Assimilation variationnelle de données dans un système dynamique d'ordre réduitCongrès Français de Mécanique (CFM'09), Enseignement Supérieur de Marseille et de Provence, Aug 2009, Marseille, France. pp.6 |
Estimation variationnelle et cohérente en temps de mouvements fluidesCongrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA'08), Jan 2008, Amiens, France. pp.1-8 |
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Variational Pressure Image Assimilation for Atmospheric Motion EstimationIEEE International Geoscience and Remote Sensing Symposium (IGARSS'08), Jul 2008, Boston, United States. pp.II-505-II-508, ⟨10.1109/IGARSS.2008.4779039⟩ |
Estimation du flot optique dans les écoulements turbulentsJournées GDR Structure de la Turbulence et Mélange: Couplage Modèle-Données, Jan 2008, Rennes, France. pp.63 |
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Variational optimal control technique for the tracking of deformable objectsIEEE International Conference on Computer Vision (ICCV'07), Oct 2007, Rio de Janeiro, Brazil. pp.1-8, ⟨10.1109/ICCV.2007.4408944⟩ |
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Image assimilation for motion estimation of atmospheric layers with shallow-water modelAsian Conference on Computer Vision (ACCV'07), Nov 2007, Tokyo, Japan. pp.864-874 |
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Assimilation variationelle de systèmes dynamiques d'ordre faible3ème Congrès national de mathématiques appliquées et industrielles (SMAI'07), Jun 2007, Praz sur Arly, France |
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Dense estimation of motion fields on meteosat second generation images using a dynamical consistencyIEEE International Geoscience and Remote Sensing Symposium (IGARSS'07), Jul 2007, Barcelona, Spain. pp.4749-4752, ⟨10.1109/IGARSS.2007.4423921⟩ |
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A Consistent Spatio-temporal Motion Estimator for Atmospheric LayersInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'07), 2007, Ischia, Italy. pp.251-263, ⟨10.1007/978-3-540-72823-8_22⟩ |
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Dynamically consistent optical flow estimationIEEE International Conference on Computer Vision (ICCV'07), Oct 2007, Rio de Janeiro, Brazil. pp.1-7, ⟨10.1109/ICCV.2007.4408889⟩ |
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A variational framework for spatio-temporal smoothing of fluid motionsInternational Conference on Scale Space and Variational Methods in Computer Vision (SSVM'07), May 2007, Ischia, Italy. pp.603-615 |
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Comparison of MSG dense atmospheric motion vector fields produced by different methodsEUMETSAT Meteorological Satellite Conference, Sep 2007, Amsterdam, Netherlands |
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Suivi du mouvement fluide: approche stochastique et variationnelleJournées Activités Universitaires de Mécanique (AUM'06), Aug 2006, La Rochelle, France. pp.1-4 |
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Une approche variationelle pour le suivi de contoursCongrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA'08), Jan 2006, Tours, France. pp.1-8 |
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Dense estimation of layer motions in the atmosphereInternational Conference on Pattern Recognition (ICPR'06), Aug 2006, Hong Kong, China. pp.1-4 |
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A variational approach for object contour trackingICCV Workshop on Variational, Geometric and Level Set Methods in Computer Vision (VLSM'05), Oct 2005, Beijing, China. pp.259-270 |
Refitting Solutions Promoted by $$\ell _{12}$$ Sparse Analysis Regularizations with Block PenaltiesScale Space and Variational Methods in Computer Vision, 11603, , pp.131-143, 2019, 978-3-030-22367-0. ⟨10.1007/978-3-030-22368-7_11⟩ |
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Assimilation de données images : application au suivi de courbes et de champs de vecteursTraitement du signal et de l'image [eess.SP]. Université Rennes 1; PhD thesis, 2007. Français. ⟨NNT : ⟩ |
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Optimal Transport for Image ProcessingSignal and Image Processing. Université de Bordeaux; Habilitation thesis, 2015 |
Scale Space and Variational Methods in Computer Vision5th International Conference on Scale Space and Variational Methods in Computer Vision, May 2015, Lège Cap Ferret, France. 9087, Springer, 2015, Lecture Notes in Computer Science |