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Nicolas Papadakis
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A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser


Jan 31, 2023
Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis

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SCOTCH and SODA: A Transformer Video Shadow Detection Framework


Nov 13, 2022
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

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* 11 pages, 4 figures 
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A patch-based architecture for multi-label classification from single label annotations


Sep 14, 2022
Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard

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Diverse super-resolution with pretrained deep hiererarchical VAEs


May 20, 2022
Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa

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* 21 pages , 5 figures 
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Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification


Apr 04, 2022
Angelica I. Aviles-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb

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Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization


Jan 31, 2022
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis

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* 21 pages 
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Gradient Step Denoiser for convergent Plug-and-Play


Oct 07, 2021
Samuel Hurault, Arthur Leclaire, Nicolas Papadakis

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POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring


Sep 13, 2021
Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V Manjon, Pierrick Coupé

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Learning local regularization for variational image restoration


Feb 11, 2021
Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis

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* 12 pages, 5 figures 
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On the Existence of Optimal Transport Gradient for Learning Generative Models


Feb 10, 2021
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin

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