Nicolas Papadakis

Orcid: 0000-0002-5414-4902

According to our database1, Nicolas Papadakis authored at least 91 papers between 2005 and 2024.

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Bibliography

2024
Plug-and-Play image restoration with Stochastic deNOising REgularization.
CoRR, 2024

Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023
A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions.
J. Math. Imaging Vis., January, 2023

Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter.
CoRR, 2023

Single-Image based unsupervised joint segmentation and denoising.
CoRR, 2023

A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Inverse problem regularization with hierarchical variational autoencoders.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SCOTCH and SODA: A Transformer Video Shadow Detection Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays.
Pattern Recognit., 2022

A patch-based architecture for multi-label classification from single label annotations.
CoRR, 2022

Diverse super-resolution with pretrained deep hiererarchical VAEs.
CoRR, 2022

Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization.
Proceedings of the International Conference on Machine Learning, 2022

Gradient Step Denoiser for convergent Plug-and-Play.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks.
IEEE Trans. Image Process., 2021

Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks.
SIAM J. Imaging Sci., 2021

Block-Based Refitting in ℓ <sub>12</sub> Sparse Regularization.
J. Math. Imaging Vis., 2021

On the Existence of Optimal Transport Gradient for Learning Generative Models.
CoRR, 2021

Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal Transport.
Algorithms, 2021

Learning Local Regularization for Variational Image Restoration.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

Wasserstein Generative Models for Patch-Based Texture Synthesis.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Where Are My Clothes? A Multi-Level Approach for Evaluating Deep Instance Segmentation Architectures on Fashion Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Variational Osmosis for Non-Linear Image Fusion.
IEEE Trans. Image Process., 2020

Development of an Image De-Noising Method in Preparation for the Surface Water and Ocean Topography Satellite Mission.
Remote. Sens., 2020

Learning to Segment Microscopy Images with Lazy Labels.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019
Penalization of Barycenters in the Wasserstein Space.
SIAM J. Math. Anal., 2019

GraphX<sup>NET</sup>-Chest X-Ray Classification Under Extreme Minimal Supervision.
CoRR, 2019

A multi-task U-net for segmentation with lazy labels.
CoRR, 2019

Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian.
CoRR, 2019

An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion.
CoRR, 2019

Refitting Solutions Promoted by ℓ _12 Sparse Analysis Regularizations with Block Penalties.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Texture-Aware Superpixel Segmentation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space.
SIAM J. Sci. Comput., 2018

Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals.
SIAM J. Imaging Sci., 2018

Regularized Optimal Transport and the Rot Mover's Distance.
J. Mach. Learn. Res., 2018

Robust superpixels using color and contour features along linear path.
Comput. Vis. Image Underst., 2018

2017
SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches.
IEEE Trans. Image Process., 2017

CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration.
SIAM J. Imaging Sci., 2017

Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost.
J. Math. Imaging Vis., 2017

Evaluation framework of superpixel methods with a global regularity measure.
J. Electronic Imaging, 2017

Parameter Estimation in Finite Mixture Models by Regularized Optimal Transport: A Unified Framework for Hard and Soft Clustering.
CoRR, 2017

Robust shape regularity criteria for superpixel evaluation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Superpixel-based color transfer.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Regularized Barycenters in the Wasserstein Space.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016
An Optimized PatchMatch for multi-scale and multi-feature label fusion.
NeuroImage, 2016

Guest Editorial: Scale-Space and Variational Methods.
J. Math. Imaging Vis., 2016

CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration.
CoRR, 2016

SCALP: Superpixels with Contour Adherence using Linear Path.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Luminance-Chrominance Model for Image Colorization.
SIAM J. Imaging Sci., 2015

Convex Color Image Segmentation with Optimal Transport Distances.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Fundamentals of Non-Local Total Variation Spectral Theory.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Non-convex Relaxation of Optimal Transport for Color Transfer Between Images.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

Optimal Transport for Image Processing. (Transport Optimal pour le Traitement d'Images).
, 2015

2014
Variational Exemplar-Based Image Colorization.
IEEE Trans. Image Process., 2014

Optimal Transport with Proximal Splitting.
SIAM J. Imaging Sci., 2014

Regularized Discrete Optimal Transport.
SIAM J. Imaging Sci., 2014

Adaptive color transfer with relaxed optimal transport.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Exemplar-based colorization in RGB color space.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation?
SIAM J. Imaging Sci., 2013

Regularized Discrete Optimal Transport.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

A Convex Formulation for Global Histogram Based Binary Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012
Virtual camera synthesis for soccer game replays.
J. Virtual Real. Broadcast., 2012

Active contours without level sets.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
A Variational Model for Histogram Transfer of Color Images.
IEEE Trans. Image Process., 2011

Tracking with Occlusions via Graph Cuts.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Stereoscopic image inpainting using scene geometry.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

2010
A Narrow Band Method for the Convex Formulation of Discrete Multilabel Problems.
Multiscale Model. Simul., 2010

Multi-label Depth Estimation for Graph Cuts Stereo Problems.
J. Math. Imaging Vis., 2010

Coherent Background Video Inpainting through Kalman Smoothing along Trajectories.
Proceedings of the 15th International Workshop on Vision, Modeling, and Visualization, 2010

Stereoscopic Image Inpainting: Distinct Depth Maps and Images Inpainting.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Polyconvexification of the multi-label optical flow problem.
Proceedings of the International Conference on Image Processing, 2010

2008
Variational Assimilation of Fluid Motion from Image Sequence.
SIAM J. Imaging Sci., 2008

A Variational Technique for Time Consistent Tracking of Curves and Motion.
J. Math. Imaging Vis., 2008

Variational Pressure Image Assimilation for Atmospheric Motion Estimation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007
Assimilation de données images : application au suivi de courbes et de champs de vecteurs.
PhD thesis, 2007

Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2007

A Variational Framework for Spatio-temporal Smoothing of Fluid Motions.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Dense estimation of motion fields on meteosat second generation images using a dynamical consistency.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Variational optimal control technique for the tracking of deformable objects.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Dynamically consistent optical flow estimation.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model.
Proceedings of the Computer Vision, 2007

2006
Dense Estimation of Layer Motions in the Atmosphere.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
A Variational Approach for Object Contour Tracking.
Proceedings of the Variational, 2005


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