Nicolas Papadakis

128 papers A* 8A 1B 9C 2Journal 76Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Convergence Analysis of a Proximal Stochastic Denoising Regularization Algorithm. SSVM (2) Marien Renaud, Julien Hermant, Nicolas Papadakis
2025	—	`conf`	Equivariant Denoisers for Image Restoration. SSVM (1) Marien Renaud, Arthur Leclaire, Nicolas Papadakis
2025	J	`jnl`	From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling. CoRR Marien Renaud, Valentin De Bortoli, Arthur Leclaire, Nicolas Papadakis
2025	J	`jnl`	From the Gradient-Step Denoiser to the Proximal Denoiser and their associated convergent Plug-and-Play algorithms. CoRR Vincent Herfeld, Baudouin Denis de Senneville, Arthur Leclaire, Nicolas Papadakis
2025	J	`jnl`	LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization. CoRR Alessio Spagnoletti, Jean Prost, Andrés Almansa, Nicolas Papadakis, Marcelo Pereyra
2024	—	`conf`	A Unified Framework for Hard and Soft Clustering with Regularized Optimal Transport. EUSIPCO Jean-Frédéric Diebold, Nicolas Papadakis, Arnaud Dessein, Charles-Alban Deledalle
2024	J	`jnl`	Convergent Plug-and-Play with Proximal Denoiser and Unconstrained Regularization Parameter. J. Math. Imaging Vis. Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2024	—	`conf`	Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior. VISIGRAPP (3): VISAPP Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2024	J	`jnl`	Equivariant Denoisers for Image Restoration. CoRR Marien Renaud, Arthur Leclaire, Nicolas Papadakis
2024	J	`jnl`	Non-local Matching of Superpixel-based Deep Features for Color Transfer and Colorization. Image Process. Line Roxane Leduc, Hernan Carrillo, Nicolas Papadakis
2024	A*	`conf`	Plug-and-Play image restoration with Stochastic deNOising REgularization. ICML Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis
2024	J	`jnl`	Plug-and-Play image restoration with Stochastic deNOising REgularization. CoRR Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis
2023	J	`jnl`	A Generative Model for Texture Synthesis based on Optimal Transport Between Feature Distributions. J. Math. Imaging Vis. Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2023	—	`conf`	A Patch-Based Architecture for Multi-Label Classification from Single Positive Annotations. VISIGRAPP (5: VISAPP) Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard
2023	—	`conf`	A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser. SSVM Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023	J	`jnl`	A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser. CoRR Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023	A*	`conf`	Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems. NeurIPS Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis
2023	J	`jnl`	Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems. CoRR Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis
2023	J	`jnl`	Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter. CoRR Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis
2023	A*	`conf`	Inverse problem regularization with hierarchical variational autoencoders. ICCV Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2023	J	`jnl`	Inverse problem regularization with hierarchical variational autoencoders. CoRR Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2023	J	`jnl`	On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs. Trans. Mach. Learn. Res. Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2023	A*	`conf`	SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CVPR Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2023	J	`jnl`	Single-Image based unsupervised joint segmentation and denoising. CoRR Nadja Gruber, Johannes Schwab, Noémie Debroux, Nicolas Papadakis, Markus Haltmeier
2022	J	`jnl`	A patch-based architecture for multi-label classification from single label annotations. CoRR Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard
2022	J	`jnl`	Diverse super-resolution with pretrained deep hiererarchical VAEs. CoRR Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa
2022	A*	`conf`	Gradient Step Denoiser for convergent Plug-and-Play. ICLR Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
2022	J	`jnl`	GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays. Pattern Recognit. Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis
2022	J	`jnl`	Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. CoRR Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb
2022	—	`conf`	Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification. MICCAI (3) Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb
2022	A*	`conf`	Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization. ICML Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
2022	J	`jnl`	Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization. CoRR Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
2022	J	`jnl`	SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CoRR Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2021	J	`jnl`	Block-Based Refitting in ℓ J. Math. Imaging Vis. Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
2021	J	`jnl`	Gradient Step Denoiser for convergent Plug-and-Play. CoRR Samuel Hurault, Arthur Leclaire, Nicolas Papadakis
2021	—	`conf`	Learning Local Regularization for Variational Image Restoration. SSVM Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2021	J	`jnl`	Learning local regularization for variational image restoration. CoRR Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis
2021	J	`jnl`	Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. IEEE Trans. Image Process. Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb
2021	J	`jnl`	Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks. SIAM J. Imaging Sci. Leon Bungert, Ester Hait-Fraenkel, Nicolas Papadakis, Guy Gilboa
2021	J	`jnl`	On the Existence of Optimal Transport Gradient for Learning Generative Models. CoRR Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2021	J	`jnl`	Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal Transport. Algorithms Alexis Thibault, Lénaïc Chizat, Charles Dossal, Nicolas Papadakis
2021	—	`conf`	POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring. MICCAI (2) Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V. Manjón, Pierrick Coupé
2021	J	`jnl`	POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring. CoRR Reda Abdellah Kamraoui, Vinh-Thong Ta, Nicolas Papadakis, Fanny Compaire, José V. Manjón, Pierrick Coupé
2021	—	`conf`	Wasserstein Generative Models for Patch-Based Texture Synthesis. SSVM Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2021	—	`conf`	Where Are My Clothes? A Multi-Level Approach for Evaluating Deep Instance Segmentation Architectures on Fashion Images. CVPR Workshops Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard
2020	J	`jnl`	Development of an Image De-Noising Method in Preparation for the Surface Water and Ocean Topography Satellite Mission. Remote. Sens. Laura Gómez-Navarro, Emmanuel Cosme, Julien Le Sommer, Nicolas Papadakis, Ananda Pascual
2020	J	`jnl`	GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. CoRR Angelica I. Avilés-Rivero, Philip Sellars, Carola-Bibiane Schönlieb, Nicolas Papadakis
2020	—	`conf`	Learning to Segment Microscopy Images with Lazy Labels. ECCV Workshops (1) Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb
2020	J	`jnl`	Multi-task deep learning for image segmentation using recursive approximation tasks. CoRR Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb
2020	J	`jnl`	Variational Osmosis for Non-Linear Image Fusion. IEEE Trans. Image Process. Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb
2020	J	`jnl`	Wasserstein Generative Models for Patch-based Texture Synthesis. CoRR Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin
2019	J	`jnl`	A multi-task U-net for segmentation with lazy labels. CoRR Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb
2019	J	`jnl`	An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. CoRR Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian. CoRR Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Samar M. Alsaleh, Robby T. Tan, Carola-Bibiane Schönlieb
2019	J	`jnl`	Evaluation Framework of Superpixel Methods with a Global Regularity Measure. CoRR Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2019	J	`jnl`	GraphX CoRR Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
2019	—	`conf`	GraphX $$^\mathbf{\small NET } -$$ -Chest X-Ray Classification Under Extreme Minimal Supervision. MICCAI (6) Angelica I. Avilés-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
2019	J	`jnl`	Penalization of Barycenters in the Wasserstein Space. SIAM J. Math. Anal. Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis
2019	—	`conf`	Refitting Solutions Promoted by ℓ _12 Sparse Analysis Regularizations with Block Penalties. SSVM Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
2019	J	`jnl`	Robust Shape Regularity Criteria for Superpixel Evaluation. CoRR Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2019	J	`jnl`	Robust superpixels using color and contour features along linear path. CoRR Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2019	J	`jnl`	SCALP: Superpixels with Contour Adherence using Linear Path. CoRR Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2019	C	`conf`	Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. IGARSS Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
2019	J	`jnl`	Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. CoRR Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, Carola-Bibiane Schönlieb
2019	J	`jnl`	SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches. CoRR Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis
2019	J	`jnl`	Superpixel-based Color Transfer. CoRR Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2019	B	`conf`	Texture-Aware Superpixel Segmentation. ICIP Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu
2019	J	`jnl`	Texture-Aware Superpixel Segmentation. CoRR Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu
2019	J	`jnl`	Variational Osmosis for Non-linear Image Fusion. CoRR Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb
2018	J	`jnl`	Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space. SIAM J. Sci. Comput. Elsa Cazelles, Vivien Seguy, Jérémie Bigot, Marco Cuturi, Nicolas Papadakis
2018	J	`jnl`	Regularized Optimal Transport and the Rot Mover's Distance. J. Mach. Learn. Res. Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
2018	J	`jnl`	Robust superpixels using color and contour features along linear path. Comput. Vis. Image Underst. Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2018	J	`jnl`	Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. SIAM J. Imaging Sci. Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
2017	J	`jnl`	CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration. SIAM J. Imaging Sci. Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
2017	J	`jnl`	Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost. J. Math. Imaging Vis. Nicolas Papadakis, Julien Rabin
2017	J	`jnl`	Evaluation framework of superpixel methods with a global regularity measure. J. Electronic Imaging Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2017	—	`conf`	Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation. EMMCVPR Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis
2017	J	`jnl`	Parameter Estimation in Finite Mixture Models by Regularized Optimal Transport: A Unified Framework for Hard and Soft Clustering. CoRR Arnaud Dessein, Nicolas Papadakis, Charles-Alban Deledalle
2017	—	`conf`	Regularized Barycenters in the Wasserstein Space. GSI Elsa Cazelles, Jérémie Bigot, Nicolas Papadakis
2017	B	`conf`	Robust shape regularity criteria for superpixel evaluation. ICIP Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2017	J	`jnl`	SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches. IEEE Trans. Image Process. Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis
2017	B	`conf`	Superpixel-based color transfer. ICIP Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2016	J	`jnl`	An Optimized PatchMatch for multi-scale and multi-feature label fusion. NeuroImage Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins, Pierrick Coupé
2016	J	`jnl`	CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration. CoRR Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
2016	J	`jnl`	Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost. CoRR Nicolas Papadakis, Julien Rabin
2016	J	`jnl`	Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. Jean-François Aujol, Mila Nikolova, Nicolas Papadakis
2016	J	`jnl`	Regularized Optimal Transport and the Rot Mover's Distance. CoRR Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
2016	B	`conf`	SCALP: Superpixels with Contour Adherence using Linear Path. ICPR Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis
2015	—	`conf`	Convex Color Image Segmentation with Optimal Transport Distances. SSVM Julien Rabin, Nicolas Papadakis
2015	J	`jnl`	Convex Color Image Segmentation with Optimal Transport Distances. CoRR Julien Rabin, Nicolas Papadakis
2015	—	`conf`	Fundamentals of Non-Local Total Variation Spectral Theory. SSVM Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
2015	J	`jnl`	Luminance-Chrominance Model for Image Colorization. SIAM J. Imaging Sci. Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta
2015	—	`conf`	Non-convex Relaxation of Optimal Transport for Color Transfer Between Images. GSI Julien Rabin, Nicolas Papadakis
2015	—	`conf`	On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means. SSVM Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon
2015	—	`book`	Optimal Transport for Image Processing. (Transport Optimal pour le Traitement d'Images). Nicolas Papadakis
2015	—	`ed.`	Scale Space and Variational Methods in Computer Vision - 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings SSVM Jean-François Aujol, Mila Nikolova, Nicolas Papadakis
2014	B	`conf`	Adaptive color transfer with relaxed optimal transport. ICIP Julien Rabin, Sira Ferradans, Nicolas Papadakis
2014	B	`conf`	Exemplar-based colorization in RGB color space. ICIP Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta
2014	J	`jnl`	Optimal Transport with Proximal Splitting. SIAM J. Imaging Sci. Nicolas Papadakis, Gabriel Peyré, Édouard Oudet
2014	J	`jnl`	Regularized Discrete Optimal Transport. SIAM J. Imaging Sci. Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol
2014	J	`jnl`	Variational Exemplar-Based Image Colorization. IEEE Trans. Image Process. Aurélie Bugeau, Vinh-Thong Ta, Nicolas Papadakis
2013	—	`conf`	A Convex Formulation for Global Histogram Based Binary Segmentation. EMMCVPR Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis
2013	J	`jnl`	High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation? SIAM J. Imaging Sci. Nicolas Papadakis, Romain Yildizoglu, Jean-François Aujol, Vicent Caselles
2013	—	`conf`	Regularized Discrete Optimal Transport. SSVM Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, Jean-François Aujol
2013	J	`jnl`	Regularized Discrete Optimal Transport. CoRR Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol
2012	B	`conf`	Active contours without level sets. ICIP Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis
2012	J	`jnl`	Virtual camera synthesis for soccer game replays. J. Virtual Real. Broadcast. Nicolas Papadakis, Antonio Baeza, Aurélie Bugeau, Pau Gargallo, Olivier D'Hondt, Vicent Caselles, Xavier Armangué, Ignasi Rius, Sergi Sagàs
2011	J	`jnl`	A Variational Model for Histogram Transfer of Color Images. IEEE Trans. Image Process. Nicolas Papadakis, Edoardo Provenzi, Vicent Caselles
2011	A	`conf`	Stereoscopic image inpainting using scene geometry. ICME Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo, Vicent Caselles
2011	J	`jnl`	Tracking with Occlusions via Graph Cuts. IEEE Trans. Pattern Anal. Mach. Intell. Nicolas Papadakis, Aurélie Bugeau
2010	J	`jnl`	A Narrow Band Method for the Convex Formulation of Discrete Multilabel Problems. Multiscale Model. Simul. Antonio Baeza, Vicent Caselles, Pau Gargallo, Nicolas Papadakis
2010	—	`conf`	Coherent Background Video Inpainting through Kalman Smoothing along Trajectories. VMV Aurélie Bugeau, Pau Gargallo, Olivier D'Hondt, Alexandre Hervieu, Nicolas Papadakis, Vicent Caselles
2010	J	`jnl`	Multi-label Depth Estimation for Graph Cuts Stereo Problems. J. Math. Imaging Vis. Nicolas Papadakis, Vicent Caselles
2010	B	`conf`	Polyconvexification of the multi-label optical flow problem. ICIP Nicolas Papadakis, Antonio Baeza, Pau Gargallo, Vicent Caselles
2010	B	`conf`	Stereoscopic Image Inpainting: Distinct Depth Maps and Images Inpainting. ICPR Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo, Vicent Caselles
2008	J	`jnl`	A Variational Technique for Time Consistent Tracking of Curves and Motion. J. Math. Imaging Vis. Nicolas Papadakis, Étienne Mémin
2008	J	`jnl`	Variational Assimilation of Fluid Motion from Image Sequence. SIAM J. Imaging Sci. Nicolas Papadakis, Étienne Mémin
2008	—	`conf`	Variational Pressure Image Assimilation for Atmospheric Motion Estimation. IGARSS (2) Thomas Corpetti, Patrick Héas, Étienne Mémin, Nicolas Papadakis
2007	—	`conf`	A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers. SSVM Patrick Héas, Étienne Mémin, Nicolas Papadakis
2007	—	`conf`	A Variational Framework for Spatio-temporal Smoothing of Fluid Motions. SSVM Nicolas Papadakis, Étienne Mémin
2007	—	`—`	Assimilation de données images : application au suivi de courbes et de champs de vecteurs. Nicolas Papadakis
2007	C	`conf`	Dense estimation of motion fields on meteosat second generation images using a dynamical consistency. IGARSS Thomas Corpetti, Nicolas Papadakis, Étienne Mémin
2007	A*	`conf`	Dynamically consistent optical flow estimation. ICCV Nicolas Papadakis, Thomas Corpetti, Étienne Mémin
2007	—	`conf`	Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model. ACCV (1) Nicolas Papadakis, Patrick Héas, Étienne Mémin
2007	J	`jnl`	Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. Patrick Héas, Étienne Mémin, Nicolas Papadakis, André Szantai
2007	A*	`conf`	Variational optimal control technique for the tracking of deformable objects. ICCV Nicolas Papadakis, Étienne Mémin
2006	—	`conf`	Dense Estimation of Layer Motions in the Atmosphere. ICPR (3) Patrick Héas, Étienne Mémin, Nicolas Papadakis
2005	—	`conf`	A Variational Approach for Object Contour Tracking. VLSM Nicolas Papadakis, Étienne Mémin, Frédéric Cao