Nicolas Papadakis
Orcid: 0000-0002-5414-4902
According to our database1,
Nicolas Papadakis
authored at least 95 papers
between 2005 and 2024.
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Bibliography
2024
Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter.
J. Math. Imaging Vis., August, 2024
Non-local Matching of Superpixel-based Deep Features for Color Transfer and Colorization.
Image Process. Line, 2024
Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions.
J. Math. Imaging Vis., January, 2023
On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs.
Trans. Mach. Learn. Res., 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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
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
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
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
IEEE Trans. Image Process., 2021
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks.
SIAM J. Imaging Sci., 2021
J. Math. Imaging Vis., 2021
CoRR, 2021
Algorithms, 2021
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021
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
Development of an Image De-Noising Method in Preparation for the Surface Water and Ocean Topography Satellite Mission.
Remote. Sens., 2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
2019
CoRR, 2019
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian.
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
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
SIAM J. Sci. Comput., 2018
Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals.
SIAM J. Imaging Sci., 2018
J. Mach. Learn. Res., 2018
Comput. Vis. Image Underst., 2018
2017
IEEE Trans. Image Process., 2017
SIAM J. Imaging Sci., 2017
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost.
J. Math. Imaging Vis., 2017
J. Electronic Imaging, 2017
Parameter Estimation in Finite Mixture Models by Regularized Optimal Transport: A Unified Framework for Hard and Soft Clustering.
CoRR, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the Geometric Science of Information - Third International Conference, 2017
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017
2016
NeuroImage, 2016
CoRR, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
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
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015
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
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
SIAM J. Imaging Sci., 2013
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013
2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
2011
IEEE Trans. Image Process., 2011
IEEE Trans. Pattern Anal. Mach. Intell., 2011
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011
2010
Multiscale Model. Simul., 2010
J. Math. Imaging Vis., 2010
Proceedings of the 15th International Workshop on Vision, Modeling, and Visualization, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the International Conference on Image Processing, 2010
2008
SIAM J. Imaging Sci., 2008
J. Math. Imaging Vis., 2008
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
IEEE Trans. Geosci. Remote. Sens., 2007
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007
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
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
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
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
2005
Proceedings of the Variational, 2005