Nicolas Papadakis

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 79

Top Venues

University of Rennes 1, France (PHD)

Education History

University of Rennes 1, France

PHD

Publications

Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter. J. Math. Imaging Vis. 66 (4) (2024)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior. VISIGRAPP (3): VISAPP (2024)
Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis
Plug-and-Play image restoration with Stochastic deNOising REgularization. CoRR (2024)
Nadja Gruber, Johannes Schwab, Noémie Debroux, Nicolas Papadakis, Markus Haltmeier
Single-Image based unsupervised joint segmentation and denoising. CoRR (2023)
Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems. CoRR (2023)
Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems. NeurIPS (2023)
Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser. CoRR (2023)
Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter. CoRR (2023)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Inverse problem regularization with hierarchical variational autoencoders. CoRR (2023)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Inverse problem regularization with hierarchical variational autoencoders. ICCV (2023)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions. J. Math. Imaging Vis. 65 (1) (2023)
Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser. SSVM (2023)
Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard
A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations. VISIGRAPP (5: VISAPP) (2023)
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CVPR (2023)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs. Trans. Mach. Learn. Res. 2023 (2023)
Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. MICCAI (3) (2022)
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization. ICML (2022)
Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. CoRR (2022)
Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa
Diverse super-resolution with pretrained deep hiererarchical VAEs. CoRR (2022)
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CoRR (2022)
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
Gradient Step Denoiser for convergent Plug-and-Play. ICLR (2022)
Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard
A patch-based architecture for multi-label classification from single label annotations. CoRR (2022)
Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays. Pattern Recognit. 122 (2022)
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization. CoRR (2022)
Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vezard
Where Are My Clothes? A Multi-Level Approach for Evaluating Deep Instance Segmentation Architectures on Fashion Images. CVPR Workshops (2021)
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. IEEE Trans. Image Process. 30 (2021)
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
Sparse Regularization. J. Math. Imaging Vis. 63 (2) (2021)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
On the Existence of Optimal Transport Gradient for Learning Generative Models. CoRR (2021)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
Wasserstein Generative Models for Patch-Based Texture Synthesis. SSVM (2021)
Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V. Manjón, Pierrick Coupé
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring. CoRR (2021)
Leon Bungert, Ester Hait-Fraenkel, Nicolas Papadakis, Guy Gilboa
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks. SIAM J. Imaging Sci. 14 (3) (2021)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Learning Local Regularization for Variational Image Restoration. SSVM (2021)
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
Learning local regularization for variational image restoration. CoRR (2021)
Alexis Thibault, Lénaïc Chizat, Charles Dossal, Nicolas Papadakis
Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal Transport. Algorithms 14 (5) (2021)
Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V. Manjón, Pierrick Coupé
POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring. MICCAI (2) (2021)
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
Gradient Step Denoiser for convergent Plug-and-Play. CoRR (2021)
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb
Multi-task deep learning for image segmentation using recursive approximation tasks. CoRR (2020)
Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb
Variational Osmosis for Non-Linear Image Fusion. IEEE Trans. Image Process. 29 (2020)
Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. CoRR (2020)
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb
Learning to Segment Microscopy Images with Lazy Labels. ECCV Workshops (1) (2020)
Laura Gómez-Navarro, Emmanuel Cosme, Julien Le Sommer, Nicolas Papadakis, Ananda Pascual
Development of an Image De-Noising Method in Preparation for the Surface Water and Ocean Topography Satellite Mission. Remote. Sens. 12 (4) (2020)
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
Wasserstein Generative Models for Patch-based Texture Synthesis. CoRR (2020)
Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
-Chest X-Ray Classification Under Extreme Minimal Supervision. CoRR (2019)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Superpixel-based Color Transfer. CoRR (2019)
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
Refitting Solutions Promoted by ℓ _12 Sparse Analysis Regularizations with Block Penalties. SSVM (2019)
Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. CoRR (2019)
Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision. MICCAI (6) (2019)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu
Texture-Aware Superpixel Segmentation. CoRR (2019)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Evaluation Framework of Superpixel Methods with a Global Regularity Measure. CoRR (2019)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Robust superpixels using color and contour features along linear path. CoRR (2019)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu
Texture-Aware Superpixel Segmentation. ICIP (2019)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
SCALP: Superpixels with Contour Adherence using Linear Path. CoRR (2019)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Robust Shape Regularity Criteria for Superpixel Evaluation. CoRR (2019)
Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. IGARSS (2019)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. CoRR (2019)
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb
A multi-task U-net for segmentation with lazy labels. CoRR (2019)
Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb
Variational Osmosis for Non-linear Image Fusion. CoRR (2019)
Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis
Penalization of Barycenters in the Wasserstein Space. SIAM J. Math. Anal. 51 (3) (2019)
Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches. CoRR (2019)
Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Samar M. Alsaleh, Robby T. Tan, Carola-Bibiane Schönlieb
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian. CoRR (2019)
Elsa Cazelles, Vivien Seguy, Jérémie Bigot, Marco Cuturi, Nicolas Papadakis
Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space. SIAM J. Sci. Comput. 40 (2) (2018)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Robust superpixels using color and contour features along linear path. Comput. Vis. Image Underst. 170 (2018)
Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. SIAM J. Imaging Sci. 11 (2) (2018)
Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
Regularized Optimal Transport and the Rot Mover's Distance. J. Mach. Learn. Res. 19 (2018)
Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis
Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation. EMMCVPR (2017)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Superpixel-based color transfer. ICIP (2017)
Elsa Cazelles, Jérémie Bigot, Nicolas Papadakis
Regularized Barycenters in the Wasserstein Space. GSI (2017)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Robust shape regularity criteria for superpixel evaluation. ICIP (2017)
Arnaud Dessein, Nicolas Papadakis, Charles-Alban Deledalle
Parameter Estimation in Finite Mixture Models by Regularized Optimal Transport: A Unified Framework for Hard and Soft Clustering. CoRR (2017)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
Evaluation framework of superpixel methods with a global regularity measure. J. Electronic Imaging 26 (6) (2017)
Nicolas Papadakis, Julien Rabin
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost. J. Math. Imaging Vis. 59 (2) (2017)
Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis
SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches. IEEE Trans. Image Process. 26 (8) (2017)
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration. SIAM J. Imaging Sci. 10 (1) (2017)
Nicolas Papadakis, Julien Rabin
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost. CoRR (2016)
Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
Regularized Optimal Transport and the Rot Mover's Distance. CoRR (2016)
Jean-François Aujol, Mila Nikolova, Nicolas Papadakis
Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. 56 (2) (2016)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé
An Optimized PatchMatch for multi-scale and multi-feature label fusion. NeuroImage 124 (2016)
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration. CoRR (2016)
Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
SCALP: Superpixels with Contour Adherence using Linear Path. ICPR (2016)
Julien Rabin, Nicolas Papadakis
Non-convex Relaxation of Optimal Transport for Color Transfer Between Images. GSI (2015)
Julien Rabin, Nicolas Papadakis
Convex Color Image Segmentation with Optimal Transport Distances. CoRR (2015)
Julien Rabin, Nicolas Papadakis
Convex Color Image Segmentation with Optimal Transport Distances. SSVM (2015)
Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
Fundamentals of Non-Local Total Variation Spectral Theory. SSVM (2015)
Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta
Luminance-Chrominance Model for Image Colorization. SIAM J. Imaging Sci. 8 (1) (2015)
Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon
On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means. SSVM (2015)
Nicolas Papadakis, Gabriel Peyré, Édouard Oudet
Optimal Transport with Proximal Splitting. SIAM J. Imaging Sci. 7 (1) (2014)
Julien Rabin, Sira Ferradans, Nicolas Papadakis
Adaptive color transfer with relaxed optimal transport. ICIP (2014)
Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol
Regularized Discrete Optimal Transport. SIAM J. Imaging Sci. 7 (3) (2014)
Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta
Exemplar-based colorization in RGB color space. ICIP (2014)
Aurélie Bugeau, Vinh-Thong Ta, Nicolas Papadakis
Variational Exemplar-Based Image Colorization. IEEE Trans. Image Process. 23 (1) (2014)
Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis
A Convex Formulation for Global Histogram Based Binary Segmentation. EMMCVPR (2013)
Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, Jean-François Aujol
Regularized Discrete Optimal Transport. SSVM (2013)
Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol
Regularized Discrete Optimal Transport. CoRR (2013)
Nicolas Papadakis, Romain Yildizoglu, Jean-François Aujol, Vicent Caselles
High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation? SIAM J. Imaging Sci. 6 (4) (2013)
Nicolas Papadakis, Antonio Baeza, Aurélie Bugeau, Pau Gargallo, Olivier D'Hondt, Vicent Caselles, Xavier Armangué, Ignasi Rius, Sergi Sagàs
Virtual camera synthesis for soccer game replays. J. Virtual Real. Broadcast. 9 (2012)
Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis
Active contours without level sets. ICIP (2012)
Nicolas Papadakis, Aurélie Bugeau
Tracking with Occlusions via Graph Cuts. IEEE Trans. Pattern Anal. Mach. Intell. 33 (1) (2011)
Nicolas Papadakis, Edoardo Provenzi, Vicent Caselles
A Variational Model for Histogram Transfer of Color Images. IEEE Trans. Image Process. 20 (6) (2011)
Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo, Vicent Caselles
Stereoscopic image inpainting using scene geometry. ICME (2011)
Antonio Baeza, Vicent Caselles, Pau Gargallo, Nicolas Papadakis
A Narrow Band Method for the Convex Formulation of Discrete Multilabel Problems. Multiscale Model. Simul. 8 (5) (2010)

Nicolas Papadakis

Publication Activity (10 Years)

Top Topics

Top Venues