Profils HAL et Google Scholar.
Marien Renaud, Arthur Leclaire, Nicolas Papadakis
Equivariant Denoisers for Image Restoration
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'25), 2025Marien Renaud, Julien Hermant, Nicolas Papadakis
Convergence Analysis of a Proximal Stochastic Denoising Regularization Algorithm
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'25), 2025Jean-Frédéric Diebold, Nicolas Papadakis, Arnaud Dessein, Charles-Alban Deledalle
A unified framework for hard and soft clustering with regularized optimal transport
European Signal Processing Conference (EUSIPCO'24), 2024Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis
Plug-and-Play image restoration with Stochastic deNOising REgularization
International Conference on Machine Learning (ICML'24), 2024Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Efficient Posterior Sampling For Diverse Super-Resolution with Hierarchical VAE Prior
International Conference on Computer Vision Theory and Applications (VISAPP'24), 2024Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
Neural Information Processing Systems (NeurIPS'23), 2023Jean Prost, Antoine Houdard, Andres Almansa, Nicolas Papadakis
Inverse problem regularization with hierarchical variational autoencoders
IEEE International Conference on Computer Vision (ICCV'23), 2023Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR'23), 2023Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'23), 2023Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard
A patch-based architecture for multi-label classification from single label annotations
International Conference on Computer Vision Theory and Applications (VISAPP'23), 2023Angelica I. Aviles-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'22), 2022Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
Débruiteur "descente de gradient" pour la convergence d'une méthode Plug-and-Play
Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'22), 2022Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization
International Conference on Machine Learning (ICML'22), 2022Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
Gradient Step Denoiser for convergent Plug-and-Play
International Conference on Learning Representations (ICLR'22), 2022Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V Manjon, Pierrick Coupé
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'21), pp. 373-382, 2021Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Apprentissage d'une fonction de régularisation locale pour la restauration d'images
Congrès des jeunes chercheurs en vision par ordinateur (ORASIS'21), 2021Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard
Where are my clothes? A multi-level approach for evaluating deep instance segmentation architectures on fashion images
CVPR Workshop on Computer Vision for Fashion, Art, and Design (CVFAD'21), pp. 3951-3955, 2021Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
Wasserstein Generative Models for Patch-based Texture Synthesis
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'21), pp. 269--280, 2021Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Learning local regularization for variational image restoration
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'21), pp. 358-370, 2021Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schuetz, Carola-Bibiane Schönlieb
Learning to segment microscopy images with lazy labels
ECCV Workshop on BioImage Computing (BIC'20), pp. 411-428, 2020Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vezard
Étude comparative de méthodologies issues de Mask R-CNN : Application au Corpus DeepFashion2
Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP'20), pp. 1-3, 2020Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T Tan, Carola-Bibiane Schönlieb
GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'19), pp. 504-512, 2019Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu
Texture-Aware Superpixel Segmentation
IEEE International Conference on Image Processing (ICIP'19), pp. 1465-1469, 2019Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu
Superpixels adaptés localement aux textures
Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'19), 2019Philip Sellars, Angelica I. Aviles-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification
IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), pp. 592-595, 2019Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penalties
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'19), pp. 131-143, 2019Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis
SuperPatchMatch : Un algorithme de correspondances robustes de patchs de superpixels
Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP'18), 2018Alexis Thibault, Lenaic Chizat, Charles H Dossal, Nicolas Papadakis
Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal Transport
NIPS Workshop on Optimal Transport & Machine Learning (OTML'17), 2017Elsa Cazelles, Jérémie Bigot, Nicolas Papadakis
Regularized Barycenters in the Wasserstein Space
3rd International Conference Geometric Science of Information (GSI'17), pp. 83-90, 2017Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis
Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'17), pp. 235-248, 2017Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Superpixel-based Color Transfer
IEEE International Conference on Image Processing (ICIP'17), pp. 700-704, 2017Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Robust Shape Regularity Criteria for Superpixel Evaluation
IEEE International Conference on Image Processing (ICIP'17), pp. 3455-3459, 2017Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Transfert de couleurs basé superpixels
Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'17), 2017Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Décomposition en superpixels via l’utilisation de chemin linéaire
Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'17), 2017Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence
Signal Processing with Adaptive Sparse Structured Representations (SPARS'17), 2017Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
SCALP: Superpixels with Contour Adherence using Linear Path
International Conference on Pattern Recognition (ICPR'16), pp. 2374-2379, 2016Cornel Zachiu, Nicolas Papadakis, Mario Ries, Chrit Moonen, Baudouin Denis de Senneville
An improved optical flow tracking technique for real-time MR-guided beam therapies in moving organs
IEEE International Symposium on Biomedical Imaging (ISBI'16), 2016Julien Rabin, Nicolas Papadakis
Non-convex Relaxation of Optimal Transport for Color Transfer Between Images
Geometric Science of Information (GSI'15), pp. 87-95, 2015Julien Rabin, Nicolas Papadakis
Co-segmentation non-supervisée d'images utilisant les distances de Sinkhorn
Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'15), 2015Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, D. Louis Collins, Pierrick Coupé
Optimisation de l'algorithme PatchMatch pour la segmentation de structures anatomiques
Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'15), 2015Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon
Contrast re-enhancement of Total-Variation regularization jointly with the Douglas-Rachford iterations
Signal Processing with Adaptive Sparse Structured Representations (SPARS'15), 2015Julien Rabin, Nicolas Papadakis
Convex Color Image Segmentation with Optimal Transport Distances
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), pp. 256-269, 2015Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
Fundamentals of Non-Local Total Variation Spectral Theory
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), pp. 66-77, 2015Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon
On debiasing restoration algorithms: applications to total-variation and nonlocal-means
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), pp. 129-141, 2015Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta
Exemplar-based colorization in RGB color space
IEEE Internationnal Conference on Image Processing (ICIP'14), pp. 1-5, 2014Julien Rabin, Sira Ferradans, Nicolas Papadakis
Adaptive Color Transfer With Relaxed Optimal Transport
IEEE international Conference on Image Processing (ICIP'14), pp. 4852-4856, 2014Vincent Chabot, Arthur Vidard, Maëlle Nodet, Nicolas Papadakis
Accounting for correlated observation errors in image data assimilation
Conférence Africaine sur la Recherche en Informatique et Mathématiques Appliquées (CARI'14), 2014Vincent Chabot, Maëlle Nodet, Nicolas Papadakis, Arthur Vidard
Assimilation de séquences d'images : vers une prise en compte des corrélations spatiales au sein des erreurs d'observation
Journées Francophones "Extraction et Gestion des Connaissances" (EGC'14), pp. 1-11, 2014Nicolas Papadakis, Vincent Chabot, Alexandros Makris, Maëlle Nodet, Arthur Vidard
Assimilation d'images et de structures
Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'13), pp. 1-4, 2013Vincent Chabot, Maëlle Nodet, Arthur Vidard, Nicolas Papadakis
Assimilation directe de séquences d'images de traceur passif : application aux équations de Saint-Venant
Colloque du Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI'13), pp. 1-4, 2013Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis
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), pp. 1-4, 2013Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis
A convex formulation for global histogram based binary segmentation
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'13), pp. 1-14, 2013Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, Jean-François Aujol
Regularized Discrete Optimal Transport
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'13), pp. 428-439, 2013Alexandros Makris, Nicolas Papadakis
Data assimilation with state alignment using high-level image structures detection
nternational Conference on Computer Vision in Remote Sensing (CVRS'12), pp. 78-83, 2012Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis
Active Contours without Level Sets
IEEE International Conference on Image Processing (ICIP'12), pp. 2549-2552, 2012Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo I Piracés, Vicent Caselles
Stereoscopic Image Inpainting using scene geometry
IEEE International Conference on Multimedia and Expo (ICME'11), pp. 1-6, 2011Nicolas Papadakis, Antonio Baeza, Xavier Armangué, Ignasi Rius, Aurélie Bugeau, Olivier d'Hondt, Pau Gargallo I Piraces, Vicent Caselles, Sergi Sagàs
Virtual camera synthesis for soccer game replays
Conference on Visual Media Production (CVMP'10), pp. 1-8, 2010Aurélie Bugeau, Pau Gargallo I Piracés, Olivier d'Hondt, Alexandre Hervieu, Nicolas Papadakis, Vicent Caselles
Coherent Background Video Inpainting through Kalman Smoothing along Trajectories
International Workshop on Vision, Modeling, and Visualization (VMV'10), pp. 123-130, 2010Nicolas Papadakis, Antonio Baeza, Pau Gargallo I Piracés, Vicent Caselles
Polyconvexification of the multi-label optical flow problem
IEEE International Conference on Image Processing (ICIP'10), pp. 765-768, 2010Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo I Piracés, Vicent Caselles
Stereoscopic image inpainting: distinct depth maps and images inpainting
International Conference on Pattern Recognition (ICPR'10), pp. 4101-4104, 2010Johan Carlier, Nicolas Papadakis, Etienne Mémin
Assimilation variationnelle de données dans un système dynamique d'ordre réduit
Congrès Français de Mécanique (CFM'09), pp. 6, 2009T. Corpetti, P. Heas, E. Memin, Nicolas Papadakis
Variational Pressure Image Assimilation for Atmospheric Motion Estimation
IEEE International Geoscience and Remote Sensing Symposium (IGARSS'08), pp. II-505-II-508, 2008Nicolas Papadakis, Etienne Mémin
Estimation variationnelle et cohérente en temps de mouvements fluides
Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA'08), pp. 1-8, 2008Nicolas Papadakis, Patrick Héas, Etienne Mémin
Image assimilation for motion estimation of atmospheric layers with shallow-water model
Asian Conference on Computer Vision (ACCV'07), pp. 864-874, 2007Nicolas Papadakis, Thomas Corpetti, Etienne Mémin
Dynamically consistent optical flow estimation
IEEE International Conference on Computer Vision (ICCV'07), pp. 1-7, 2007Nicolas Papadakis, Etienne Mémin
Variational optimal control technique for the tracking of deformable objects
IEEE International Conference on Computer Vision (ICCV'07), pp. 1-8, 2007André Szantaï, Etienne Mémin, Anne Cuzol, Nicolas Papadakis, Patrick Héas, Bernhard Wieneke, Luis Álvarez, Florian Becker, P. W. Lopes
Comparison of MSG dense atmospheric motion vector fields produced by different methods
EUMETSAT Meteorological Satellite Conference, 2007Thomas Corpetti, Nicolas Papadakis, Etienne Memin
Dense estimation of motion fields on meteosat second generation images using a dynamical consistency
IEEE International Geoscience and Remote Sensing Symposium (IGARSS'07), pp. 4749-4752, 2007Nicolas Papadakis, Etienne Mémin
A variational framework for spatio-temporal smoothing of fluid motions
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'07), pp. 603-615, 2007Patrick Héas, Étienne Mémin, Nicolas Papadakis
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'07), pp. 251-263, 2007Nicolas Papadakis, Anne Cuzol, Etienne Mémin
Suivi du mouvement fluide: approche stochastique et variationnelle
Journées Activités Universitaires de Mécanique (AUM'06), pp. 1-4, 2006Patrick Héas, Etienne Mémin, Nicolas Papadakis
Dense estimation of layer motions in the atmosphere
International Conference on Pattern Recognition (ICPR'06), pp. 1-4, 2006Nicolas Papadakis, Etienne Mémin, Frédéric Cao
Une approche variationelle pour le suivi de contours
Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA'08), pp. 1-8, 2006Nicolas Papadakis, Etienne Mémin, Frederic Cao
A variational approach for object contour tracking
ICCV Workshop on Variational, Geometric and Level Set Methods in Computer Vision (VLSM'05), pp. 259-270, 2005