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Nicolas Papadakis
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2020 – today
- 2024
- [j34]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): 616-638 (2024) - [c47]Jean-Frédéric Diebold, Nicolas Papadakis, Arnaud Dessein, Charles-Alban Deledalle:
A Unified Framework for Hard and Soft Clustering with Regularized Optimal Transport. EUSIPCO 2024: 1826-1830 - [c46]Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis:
Plug-and-Play image restoration with Stochastic deNOising REgularization. ICML 2024 - [c45]Jean Prost, Antoine Houdard, Andrés Almansa
, Nicolas Papadakis:
Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior. VISIGRAPP (3): VISAPP 2024: 393-400 - [i37]Marien Renaud, Jean Prost, Arthur Leclaire, Nicolas Papadakis:
Plug-and-Play image restoration with Stochastic deNOising REgularization. CoRR abs/2402.01779 (2024) - 2023
- [j33]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): 4-28 (2023) - [j32]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) - [c44]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: 10449-10458 - [c43]Jean Prost, Antoine Houdard, Andrés Almansa
Inverse problem regularization with hierarchical variational autoencoders. ICCV 2023: 22837-22848 - [c42]Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis:
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems. NeurIPS 2023 - [c41]Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis:
A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser. SSVM 2023: 379-392 - [c40]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: 47-58 - [i36]Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis:
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiser. CoRR abs/2301.13731 (2023) - [i35]Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
Inverse problem regularization with hierarchical variational autoencoders. CoRR abs/2303.11217 (2023) - [i34]Samuel Hurault, Ulugbek Kamilov, Arthur Leclaire, Nicolas Papadakis:
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems. CoRR abs/2306.03466 (2023) - [i33]Nadja Gruber, Johannes Schwab
Single-Image based unsupervised joint segmentation and denoising. CoRR abs/2309.10511 (2023) - [i32]Samuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis:
Convergent plug-and-play with proximal denoiser and unconstrained regularization parameter. CoRR abs/2311.01216 (2023) - 2022
- [j31]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: 108274 (2022) - [c39]Samuel Hurault, Arthur Leclaire, Nicolas Papadakis:
Gradient Step Denoiser for convergent Plug-and-Play. ICLR 2022 - [c38]Samuel Hurault, Arthur Leclaire, Nicolas Papadakis:
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization. ICML 2022: 9483-9505 - [c37]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: 717-727 - [i31]Samuel Hurault, Arthur Leclaire, Nicolas Papadakis:
Proximal denoiser for convergent plug-and-play optimization with nonconvex regularization. CoRR abs/2201.13256 (2022) - [i30]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 abs/2204.02399 (2022) - [i29]Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa:
Diverse super-resolution with pretrained deep hiererarchical VAEs. CoRR abs/2205.10347 (2022) - [i28]Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard:
A patch-based architecture for multi-label classification from single label annotations. CoRR abs/2209.06530 (2022) - [i27]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 abs/2211.06885 (2022) - 2021
- [j30]Alexis Thibault
Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal Transport. Algorithms 14(5): 143 (2021) - [j29]Charles-Alban Deledalle, Nicolas Papadakis
Block-Based Refitting in ℓ 12 Sparse Regularization. J. Math. Imaging Vis. 63(2): 216-236 (2021) - [j28]Leon Bungert
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks. SIAM J. Imaging Sci. 14(3): 1114-1148 (2021) - [j27]Rihuan Ke
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. IEEE Trans. Image Process. 30: 3555-3567 (2021) - [c36]Warren Jouanneau, Aurélie Bugeau, Marc Palyart, Nicolas Papadakis, Laurent Vézard:
Where Are My Clothes? A Multi-Level Approach for Evaluating Deep Instance Segmentation Architectures on Fashion Images. CVPR Workshops 2021: 3951-3955 - [c35]Reda Abdellah Kamraoui
POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring. MICCAI (2) 2021: 373-382 - [c34]Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
Wasserstein Generative Models for Patch-Based Texture Synthesis. SSVM 2021: 269-280 - [c33]Jean Prost, Antoine Houdard, Andrés Almansa
Learning Local Regularization for Variational Image Restoration. SSVM 2021: 358-370 - [i26]Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
On the Existence of Optimal Transport Gradient for Learning Generative Models. CoRR abs/2102.05542 (2021) - [i25]Jean Prost, Antoine Houdard, Andrés Almansa
Learning local regularization for variational image restoration. CoRR abs/2102.06155 (2021) - [i24]Reda Abdellah Kamraoui
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring. CoRR abs/2109.06361 (2021) - [i23]Samuel Hurault, Arthur Leclaire, Nicolas Papadakis:
Gradient Step Denoiser for convergent Plug-and-Play. CoRR abs/2110.03220 (2021) - 2020
- [j26]Laura Gómez-Navarro
Development of an Image De-Noising Method in Preparation for the Surface Water and Ocean Topography Satellite Mission. Remote. Sens. 12(4): 734 (2020) - [j25]Simone Parisotto
Variational Osmosis for Non-Linear Image Fusion. IEEE Trans. Image Process. 29: 5507-5516 (2020) - [c32]Rihuan Ke
Learning to Segment Microscopy Images with Lazy Labels. ECCV Workshops (1) 2020: 411-428 - [i22]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 abs/2005.13053 (2020) - [i21]Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin:
Wasserstein Generative Models for Patch-based Texture Synthesis. CoRR abs/2007.03408 (2020) - [i20]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 abs/2010.00378 (2020)
2010 – 2019
- 2019
- [j24]Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis:
Penalization of Barycenters in the Wasserstein Space. SIAM J. Math. Anal. 51(3): 2261-2285 (2019) - [c31]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu:
Texture-Aware Superpixel Segmentation. ICIP 2019: 1465-1469 - [c30]Philip Sellars, Angelica I. Avilés-Rivero, Nicolas Papadakis, David Coomes
Semi-Supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. IGARSS 2019: 592-595 - [c29]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: 504-512 - [c28]Charles-Alban Deledalle
Refitting Solutions Promoted by ℓ _12 Sparse Analysis Regularizations with Block Penalties. SSVM 2019: 131-143 - [i19]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 abs/1901.04240 (2019) - [i18]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu:
Texture-Aware Superpixel Segmentation. CoRR abs/1901.11111 (2019) - [i17]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Superpixel-based Color Transfer. CoRR abs/1903.06010 (2019) - [i16]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust Shape Regularity Criteria for Superpixel Evaluation. CoRR abs/1903.07146 (2019) - [i15]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
SCALP: Superpixels with Contour Adherence using Linear Path. CoRR abs/1903.07149 (2019) - [i14]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Evaluation Framework of Superpixel Methods with a Global Regularity Measure. CoRR abs/1903.07162 (2019) - [i13]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 abs/1903.07165 (2019) - [i12]Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis:
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches. CoRR abs/1903.07169 (2019) - [i11]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust superpixels using color and contour features along linear path. CoRR abs/1903.07193 (2019) - [i10]Angelica I. Avilés-Rivero
Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian. CoRR abs/1906.08635 (2019) - [i9]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb:
A multi-task U-net for segmentation with lazy labels. CoRR abs/1906.12177 (2019) - [i8]Angelica I. Avilés-Rivero
GraphXNET-Chest X-Ray Classification Under Extreme Minimal Supervision. CoRR abs/1907.10085 (2019) - [i7]Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb:
Variational Osmosis for Non-linear Image Fusion. CoRR abs/1910.02012 (2019) - 2018
- [j23]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust superpixels using color and contour features along linear path. Comput. Vis. Image Underst. 170: 1-13 (2018) - [j22]Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas:
Regularized Optimal Transport and the Rot Mover's Distance. J. Mach. Learn. Res. 19: 15:1-15:53 (2018) - [j21]Jean-François Aujol
Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. SIAM J. Imaging Sci. 11(2): 1416-1440 (2018) - [j20]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) - 2017
- [j19]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Evaluation framework of superpixel methods with a global regularity measure. J. Electronic Imaging 26(6): 61603 (2017) - [j18]Nicolas Papadakis, Julien Rabin
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost. J. Math. Imaging Vis. 59(2): 161-186 (2017) - [j17]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): 243-284 (2017) - [j16]Rémi Giraud
SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches. IEEE Trans. Image Process. 26(8): 4068-4078 (2017) - [c27]Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis:
Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation. EMMCVPR 2017: 235-248 - [c26]Elsa Cazelles, Jérémie Bigot, Nicolas Papadakis:
Regularized Barycenters in the Wasserstein Space. GSI 2017: 83-90 - [c25]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Superpixel-based color transfer. ICIP 2017: 700-704 - [c24]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
Robust shape regularity criteria for superpixel evaluation. ICIP 2017: 3455-3459 - [i6]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 abs/1711.04366 (2017) - 2016
- [j15]Jean-François Aujol, Mila Nikolova, Nicolas Papadakis:
Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. 56(2): 173-174 (2016) - [j14]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, José V. Manjón, D. Louis Collins
An Optimized PatchMatch for multi-scale and multi-feature label fusion. NeuroImage 124: 770-782 (2016) - [c23]Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis:
SCALP: Superpixels with Contour Adherence using Linear Path. ICPR 2016: 2374-2379 - [i5]Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter:
CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration. CoRR abs/1606.05158 (2016) - [i4]Nicolas Papadakis, Julien Rabin:
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost. CoRR abs/1610.01400 (2016) - [i3]Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas
Regularized Optimal Transport and the Rot Mover's Distance. CoRR abs/1610.06447 (2016) - 2015
- [b2]Nicolas Papadakis:
Optimal Transport for Image Processing. (Transport Optimal pour le Traitement d'Images). University of Bordeaux, France, 2015 - [j13]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta:
Luminance-Chrominance Model for Image Colorization. SIAM J. Imaging Sci. 8(1): 536-563 (2015) - [c22]Julien Rabin, Nicolas Papadakis:
Non-convex Relaxation of Optimal Transport for Color Transfer Between Images. GSI 2015: 87-95 - [c21]Jean-François Aujol, Guy Gilboa, Nicolas Papadakis:
Fundamentals of Non-Local Total Variation Spectral Theory. SSVM 2015: 66-77 - [c20]Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon:
On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means. SSVM 2015: 129-141 - [c19]Julien Rabin, Nicolas Papadakis:
Convex Color Image Segmentation with Optimal Transport Distances. SSVM 2015: 256-269 - [e1]Jean-François Aujol, Mila Nikolova, Nicolas Papadakis:
Scale Space and Variational Methods in Computer Vision - 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings. Lecture Notes in Computer Science 9087, Springer 2015, ISBN 978-3-319-18460-9 [contents] - [i2]Julien Rabin, Nicolas Papadakis:
Convex Color Image Segmentation with Optimal Transport Distances. CoRR abs/1503.01986 (2015) - 2014
- [j12]Nicolas Papadakis, Gabriel Peyré
Optimal Transport with Proximal Splitting. SIAM J. Imaging Sci. 7(1): 212-238 (2014) - [j11]Sira Ferradans, Nicolas Papadakis, Gabriel Peyré
Regularized Discrete Optimal Transport. SIAM J. Imaging Sci. 7(3): 1853-1882 (2014) - [j10]Aurélie Bugeau, Vinh-Thong Ta, Nicolas Papadakis:
Variational Exemplar-Based Image Colorization. IEEE Trans. Image Process. 23(1): 298-307 (2014) - [c18]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta:
Exemplar-based colorization in RGB color space. ICIP 2014: 625-629 - [c17]Julien Rabin, Sira Ferradans, Nicolas Papadakis:
Adaptive color transfer with relaxed optimal transport. ICIP 2014: 4852-4856 - 2013
- [j9]Nicolas Papadakis, Romain Yildizoglu, Jean-François Aujol, Vicent Caselles:
High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation? SIAM J. Imaging Sci. 6(4): 2603-2639 (2013) - [c16]Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis:
A Convex Formulation for Global Histogram Based Binary Segmentation. EMMCVPR 2013: 335-349 - [c15]Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré
Regularized Discrete Optimal Transport. SSVM 2013: 428-439 - [i1]Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol:
Regularized Discrete Optimal Transport. CoRR abs/1307.5551 (2013) - 2012
- [j8]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) - [c14]Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis:
Active contours without level sets. ICIP 2012: 2549-2552 - 2011
- [j7]Nicolas Papadakis, Aurélie Bugeau:
Tracking with Occlusions via Graph Cuts. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 144-157 (2011) - [j6]Nicolas Papadakis, Edoardo Provenzi
A Variational Model for Histogram Transfer of Color Images. IEEE Trans. Image Process. 20(6): 1682-1695 (2011) - [c13]Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo, Vicent Caselles:
Stereoscopic image inpainting using scene geometry. ICME 2011: 1-6 - 2010
- [j5]Nicolas Papadakis, Vicent Caselles:
Multi-label Depth Estimation for Graph Cuts Stereo Problems. J. Math. Imaging Vis. 38(1): 70-82 (2010) - [j4]Antonio Baeza
A Narrow Band Method for the Convex Formulation of Discrete Multilabel Problems. Multiscale Model. Simul. 8(5): 2048-2078 (2010) - [c12]Nicolas Papadakis, Antonio Baeza, Pau Gargallo, Vicent Caselles:
Polyconvexification of the multi-label optical flow problem. ICIP 2010: 765-768 - [c11]Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo, Vicent Caselles:
Stereoscopic Image Inpainting: Distinct Depth Maps and Images Inpainting. ICPR 2010: 4101-4104 - [c10]Aurélie Bugeau, Pau Gargallo, Olivier D'Hondt, Alexandre Hervieu, Nicolas Papadakis, Vicent Caselles:
Coherent Background Video Inpainting through Kalman Smoothing along Trajectories. VMV 2010: 123-130
2000 – 2009
- 2008
- [j3]Nicolas Papadakis, Étienne Mémin:
A Variational Technique for Time Consistent Tracking of Curves and Motion. J. Math. Imaging Vis. 31(1): 81-103 (2008) - [j2]Nicolas Papadakis, Étienne Mémin:
Variational Assimilation of Fluid Motion from Image Sequence. SIAM J. Imaging Sci. 1(4): 343-363 (2008) - [c9]Thomas Corpetti
Variational Pressure Image Assimilation for Atmospheric Motion Estimation. IGARSS (2) 2008: 505-508 - 2007
- [b1]Nicolas Papadakis:
Assimilation de données images : application au suivi de courbes et de champs de vecteurs. University of Rennes 1, France, 2007 - [j1]Patrick Héas
Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 45(12-2): 4087-4104 (2007) - [c8]Nicolas Papadakis, Patrick Héas, Étienne Mémin:
Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model. ACCV (1) 2007: 864-874 - [c7]Nicolas Papadakis, Thomas Corpetti
Dynamically consistent optical flow estimation. ICCV 2007: 1-7 - [c6]Nicolas Papadakis, Étienne Mémin:
Variational optimal control technique for the tracking of deformable objects. ICCV 2007: 1-7 - [c5]Thomas Corpetti
Dense estimation of motion fields on meteosat second generation images using a dynamical consistency. IGARSS 2007: 4749-4752 - [c4]Patrick Héas, Étienne Mémin, Nicolas Papadakis:
A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers. SSVM 2007: 251-263 - [c3]Nicolas Papadakis, Étienne Mémin:
A Variational Framework for Spatio-temporal Smoothing of Fluid Motions. SSVM 2007: 603-615 - 2006
- [c2]Patrick Héas, Étienne Mémin, Nicolas Papadakis:
Dense Estimation of Layer Motions in the Atmosphere. ICPR (3) 2006: 1-4 - 2005
- [c1]Nicolas Papadakis, Étienne Mémin, Frédéric Cao:
A Variational Approach for Object Contour Tracking. VLSM 2005: 259-270
Coauthor Index
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