Co-authors

Number of documents

104

Nicolas Papadakis


CNRS researcher at the Institut de Mathématiques de Bordeaux

 


Journal articles33 documents

  • Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis. Penalization of Barycenters in the Wasserstein Space. SIAM Journal on Mathematical Analysis, Society for Industrial and Applied Mathematics, 2019. ⟨hal-01564007⟩
  • Aurélie Bugeau, Nicolas Papadakis. Apprendre à coloriser des images. Interstices, INRIA, 2019, ⟨https://interstices.info/apprendre-a-coloriser-des-images/⟩. ⟨hal-02187269⟩
  • Tal Feld, Jean-François Aujol, Guy Gilboa, Nicolas Papadakis. Rayleigh quotient minimization for absolutely one-homogeneous functionals. Inverse Problems, IOP Publishing, 2019, ⟨10.1088/1361-6420/ab0cb2⟩. ⟨hal-01864129v2⟩
  • Jean-François Aujol, Guy Gilboa, Nicolas Papadakis. Theoretical Analysis of Flows Estimating Eigenfunctions of One-homogeneous Functionals . SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2018, 11 (2), pp.1416-1440. ⟨hal-01563922⟩
  • Arnaud Dessein, Nicolas Papadakis, Jean-Luc Rouas. Regularized Optimal Transport and the ROT Mover's Distance. Journal of Machine Learning Research, Microtome Publishing, 2018. ⟨hal-01540866⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. Robust Superpixels using Color and Contour Features along Linear Path. Computer Vision and Image Understanding, Elsevier, 2018. ⟨hal-01510063⟩
  • Elsa Cazelles, Vivien Seguy, Jérémie Bigot, Marco Cuturi, Nicolas Papadakis. Log-PCA versus Geodesic PCA of histograms in the Wasserstein space. SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics, 2018, 40 (2), pp.B429-B456. ⟨hal-01581699⟩
  • Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis. SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2017, ⟨10.1109/TIP.2017.2708504⟩. ⟨hal-01432116⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. Evaluation Framework of Superpixel Methods with a Global Regularity Measure. Journal of Electronic Imaging, SPIE and IS&T, 2017, Special Section on Superpixels for Image Processing and Computer Vision. ⟨hal-01519635⟩
  • Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter. CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration . SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2017, 10 (1), pp.243-284. ⟨10.1137/16M1080318⟩. ⟨hal-01333295v3⟩
  • Nicolas Papadakis, Julien Rabin. Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost. Journal of Mathematical Imaging and Vision, Springer Verlag, 2017, ⟨10.1007/s10851-017-0725-5⟩. ⟨hal-01533657⟩
  • Romain Hug, Emmanuel Maitre, Nicolas Papadakis. Multi-physics Optimal Transportation and Image Interpolation. ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2015, Special Issue - Optimal Transport, 49 (6), pp.1671-1692. ⟨10.1051/m2an/2015038⟩. ⟨hal-00998370⟩
  • Vincent Chabot, Maëlle Nodet, Nicolas Papadakis, Arthur Vidard. Accounting for observation errors in image data assimilation. Tellus A, Co-Action Publishing, 2015, 67 (23629), pp.19. ⟨http://www.tellusa.net/index.php/tellusa/article/view/23629⟩. ⟨10.3402/tellusa.v67.23629⟩. ⟨hal-00923735v3⟩
  • Cornel Zachiu, Nicolas Papadakis, Mario Ries, Chrit Moonen, Baudouin Denis de Senneville. An improved optical flow tracking technique for real-time MR-guided beam therapies in moving organs. Physics in Medicine and Biology, IOP Publishing, 2015. ⟨hal-01212632⟩
  • Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta. Luminance-Chrominance Model for Image Colorization. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2015, pp.536-563. ⟨10.1137/140979368⟩. ⟨hal-01166919⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Jose Vicente Manjon, D Louis Collins, et al.. An Optimized PatchMatch for multi-scale and multi-feature label fusion. NeuroImage, Elsevier, 2015, pp.40. ⟨10.1016/j.neuroimage.2015.07.076⟩. ⟨hal-01198703⟩
  • Aurélie Bugeau, Vinh-Thong Ta, Nicolas Papadakis. Variational Exemplar-Based Image Colorization. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2014, 23 (1), ⟨10.1109/TIP.2013.2288929⟩. ⟨hal-00803219⟩
  • Nicolas Papadakis, Gabriel Peyré, Edouard Oudet. Optimal Transport with Proximal Splitting. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2014, 7 (1), pp.212-238. ⟨10.1137/130920058⟩. ⟨hal-00816211v2⟩
  • Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol. Regularized Discrete Optimal Transport. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2014, 7 (3), pp.1853-1882. ⟨10.1137/130929886⟩. ⟨hal-01188963⟩
  • Thomas Corpetti, Vincent Dubreuil, Etienne Mémin, Nicolas Papadakis, Olivier Planchon, et al.. Outils méthodologiques l'analyse d'images MSG : estimation du mouvement, suivi de masses nuageuses et détéction de fronts.. Revue Française de Photogrammétrie et de Télédétection, Société Française de Photogrammétrie et de Télédétection, 2014, 205, pp.3-18. ⟨hal-01102978⟩
  • Nicolas Papadakis, Antonio Baeza, Aurélie Bugeau, Olivier d'Hondt, Pau Gargallo I Piracés, et al.. Virtual camera synthesis for soccer game replays. Journal of Virtual Reality and Broadcasting, Digital Peer Publishing NRW, 2013, 9(2012), pp.5. ⟨10.20385/1860-2037/9.2012.5⟩. ⟨hal-00854057⟩
  • Nicolas Papadakis, Romain Yildizoglu, Jean-François Aujol, Vicent Caselles. High-dimension multi-label problems: convex or non convex relaxation?. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2013, 6 (4), pp.2603-2639. ⟨10.1137/120900307⟩. ⟨hal-00757084v3⟩
  • Nicolas Papadakis, Aurélie Bugeau, Vicent Caselles. Image editing with spatiogram transfer. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2012, 21 (5), pp.2513 - 2522. ⟨10.1109/TIP.2012.2183144⟩. ⟨hal-00675686⟩
  • Nicolas Papadakis, Aurélie Bugeau. Tracking with Occlusions via Graph Cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2011, 33 (1), pp.144-157. ⟨10.1109/TPAMI.2010.56⟩. ⟨hal-00522633⟩
  • Nicolas Papadakis, Edoardo Provenzi, Vicent Caselles. A Variational Model for Histogram Transfer of Color Images. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2011, 20 (6), pp.1682-1695. ⟨10.1109/TIP.2010.2095869⟩. ⟨hal-00596053⟩
  • Antonio Baeza, Vicent Caselles, Pau Gargallo I Piracés, Nicolas Papadakis. A narrow band method for the convex formulation of discrete multi-label problems. Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Society for Industrial and Applied Mathematics, 2010, 8 (5), pp.2048-2078. ⟨10.1137/090780936⟩. ⟨hal-00596060⟩
  • Nicolas Papadakis, Étienne Mémin, Anne Cuzol, Nicolas Gengembre. Data assimilation with the Weighted Ensemble Kalman Filter. Tellus A, Co-Action Publishing, 2010, 62 (5), pp.673-697. ⟨10.1111/j.1600-0870.2010.00461.x⟩. ⟨hal-00490840⟩
  • Nicolas Papadakis, Vicent Caselles. Multi-label depth estimation for graph cuts stereo problems. Journal of Mathematical Imaging and Vision, Springer Verlag, 2010, 38 (1), pp.70-82. ⟨10.1007/s10851-010-0212-8⟩. ⟨hal-00596140⟩
  • Thomas Corpetti, Patrick Héas, Etienne Mémin, Nicolas Papadakis. Pressure image assimilation for atmospheric motion estimation. Tellus A, Co-Action Publishing, 2009, 61 (1), pp.160-178. ⟨10.1111/j.1600-0870.2008.00370.x⟩. ⟨hal-00596223⟩
  • Nicolas Papadakis, Etienne Mémin. Variational assimilation of fluid motion from image sequence. SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2008, 1 (4), pp.343-363. ⟨10.1137/080713896⟩. ⟨hal-00596149⟩
  • Nicolas Papadakis, Etienne Mémin. A variational technique for time consistent tracking of curves and motion. Journal of Mathematical Imaging and Vision, Springer Verlag, 2008, 31 (1), pp.81-103. ⟨10.1007/s10851-008-0069-2⟩. ⟨hal-00596154⟩
  • Patrick Héas, Etienne Mémin, Nicolas Papadakis, André Szantai. Layered estimation of atmospheric mesoscale dynamics from satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2007, 45(2) (12), pp.4087-4104. ⟨10.1109/TGRS.2007.906156⟩. ⟨hal-00596167⟩
  • Juan d'Adamo, Nicolas Papadakis, Etienne Mémin, Guillermo Artana. Variational assimilation of POD low-order dynamical systems. Journal of Turbulence, Taylor & Francis, 2007, 8 (9), pp.1-23. ⟨10.1080/14685240701242385⟩. ⟨hal-00596160⟩

Conference papers55 documents

  • Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, et al.. GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision. International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2019, Shenzen, China. ⟨hal-02193970⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu. Superpixels adaptés localement aux textures. Groupement de Recherche en Traitement du Signal et des Images (GRETSI), Aug 2019, Lille, France. ⟨hal-02117558⟩
  • Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter. Refitting solutions promoted by $\ell_{12}$ sparse analysis regularization with block penalties. International Conference on Scale Space and Variational Methods in Computer Vision, Jun 2019, Hofgeismar, Germany. ⟨hal-02059006⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, Yannick Berthoumieu. Texture-Aware Superpixel Segmentation. IEEE International Conference on Image Processing, Sep 2019, Taipei, Taiwan. ⟨hal-01995819v3⟩
  • Philip Sellars, Angelica I. Aviles-Rivero, Nicolas Papadakis, David Coomes, Anita Faul, et al.. Semi-supervised Learning with Graphs: Covariance Based Superpixels For Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨hal-02057730⟩
  • Rémi Giraud, Vinh-Thong Ta, Aurélie Bugeau, Pierrick Coupé, Nicolas Papadakis. SuperPatchMatch : Un algorithme de correspondances robustes de patchs de superpixels. Congrès Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), May 2018, Marne-la-Vallée, France. ⟨hal-01702277⟩
  • Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis. Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation. Energy Minimization Methods in Computer Vision and Pattern Recognition, Oct 2017, Venise, Italy. ⟨hal-01569571⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. Robust Shape Regularity Criteria for Superpixel Evaluation. IEEE International Conference on Image Processing (ICIP), Sep 2017, Beijing, China. ⟨hal-01510062⟩
  • Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter. Characterizing the maximum parameter of the total-variation denoising through the pseudo-inverse of the divergence. SPARS 2017 (Signal Processing with Adaptive Sparse Structured Representations), Jun 2017, Lisbon, Portugal. ⟨hal-01412059⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. Superpixel-based Color Transfer. IEEE International Conference on Image Processing (ICIP), Sep 2017, Beijing, China. ⟨hal-01519644⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. Transfert de couleurs basé superpixels. GRETSI, Sep 2017, Juan-les-Pins, France. ⟨hal-01542596v2⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. Décomposition en superpixels via l’utilisation de chemin linéaire. GRETSI, Sep 2017, Juan-les-Pins, France. ⟨hal-01542599⟩
  • Alexis Thibault, Lenaic Chizat, Charles Dossal, Nicolas Papadakis. Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal Transport. NIPS'17 Workshop on Optimal Transport & Machine Learning, Dec 2017, Long Beach, United States. ⟨hal-01629985⟩
  • Cornel Zachiu, Nicolas Papadakis, Mario Ries, Chrit Moonen, Baudouin Denis de Senneville. An improved optical flow tracking technique for real-time MR-guided beam therapies in moving organs. IEEE International Symposium on Biomedical Imaging (ISBI 2016), Apr 2016, Prague, Czech Republic. ⟨hal-01365990⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis. SCALP: Superpixels with Contour Adherence using Linear Path. 23rd International Conference on Pattern Recognition (ICPR 2016), Dec 2016, Cancun, Mexico. ⟨hal-01349569⟩
  • Julien Rabin, Nicolas Papadakis. Co-segmentation non-supervisée d'images utilisant les distances de Sinkhorn. Colloque GRETSI 2015, Sep 2015, Lyon, France. ⟨hal-01200862⟩
  • Julien Rabin, Nicolas Papadakis. Convex Color Image Segmentation with Optimal Transport Distances. Scale Space and Variational Methods in Computer Vision, May 2015, Lège Cap Ferret, France. ⟨hal-01133447⟩
  • Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon. On debiasing restoration algorithms: applications to total-variation and nonlocal-means. Scale Space and Variational Methods in Computer Vision 2015, May 2015, Lège Cap Ferret, France. ⟨hal-01123542⟩
  • Rémi Giraud, Vinh-Thong Ta, Nicolas Papadakis, D. Louis Collins, Pierrick Coupé. Optimisation de l'algorithme PatchMatch pour la segmentation de structures anatomiques. GRETSI 2015, Sep 2015, Lyon, France. ⟨hal-01170197⟩
  • Julien Rabin, Nicolas Papadakis. Non-convex Relaxation of Optimal Transport for Color Transfer Between Images. Geometric Science of Information, Oct 2015, Paris-Saclay, France. ⟨hal-01689687⟩
  • Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon. Contrast re-enhancement of Total-Variation regularization jointly with the Douglas-Rachford iterations. Signal Processing with Adaptive Sparse Structured Representations, Jul 2015, Cambridge, United Kingdom. ⟨hal-01187061⟩
  • Jean-François Aujol, Guy Gilboa, Nicolas Papadakis. Fundamentals of Non-Local Total Variation Spectral Theory. Scale Space and Variational Methods in Computer Vision, May 2015, Lège-Cap Ferret, France. ⟨10.1007/978-3-319-18461-6_6⟩. ⟨hal-01199080⟩
  • Julien Rabin, Sira Ferradans, Nicolas Papadakis. Adaptive Color Transfer With Relaxed Optimal Transport. IEEE international Conference on Image Processing, Oct 2014, Paris, France. pp.5. ⟨hal-01002830⟩
  • Vincent Chabot, Maëlle Nodet, Nicolas Papadakis, Arthur Vidard. Assimilation de séquences d'images : vers une prise en compte des corrélations spatiales au sein des erreurs d'observation. EGC 2014 - 14èmes journées Francophones "Extraction et Gestion des Connaissances", Jan 2014, Rennes, France. pp.1-11. ⟨hal-00942711⟩
  • Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta. EXEMPLAR-BASED COLORIZATION IN RGB COLOR SPACE. Internationnal Conference on Image Processing, Oct 2014, Paris, France. pp.1-5. ⟨hal-01019627⟩
  • Vincent Chabot, Arthur Vidard, Maëlle Nodet, Nicolas Papadakis. Accounting for correlated observation errors in image data assimilation. CARI'14, Oct 2014, Saint Louis, Senegal. ⟨hal-01119039⟩
  • Nicolas Papadakis, Vincent Chabot, Alexandros Makris, Maëlle Nodet, Arthur Vidard. Assimilation d'images et de structures. 24ème colloque GRETSI, Sep 2013, Brest, France. pp.1-4. ⟨hal-00836062v3⟩
  • Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis. A convex formulation for global histogram based binary segmentation. International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Aug 2013, Sweden. pp.1-14. ⟨hal-00834068⟩
  • Vincent Chabot, Maëlle Nodet, Arthur Vidard, Nicolas Papadakis. Assimilation directe de séquences d'images de traceur passif : application aux équations de Saint-Venant. 24ème colloque GRETSI, Sep 2013, Brest, France. ⟨hal-00913992⟩
  • Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, Jean-François Aujol. Regularized Discrete Optimal Transport. SSVM 2013 - International Conference on Scale Space and Variational Methods in Computer Vision, Jun 2013, Schloss Seggau, Leibnitz, Austria. pp.428-439, ⟨10.1007/978-3-642-38267-3_36⟩. ⟨hal-00797078⟩
  • Nicolas Papadakis. Optimal transport with proximal splitting. SIAM Conference on Analysis of Partial Differential Equations, Dec 2013, United States. ⟨hal-00918460⟩
  • Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis. Une formulation convexe pour la segmentation binaire d'images à partir d'histogrammes.. Gretsi 2013, Sep 2013, Brest, France. pp.1-4. ⟨hal-00992086⟩
  • Afaf Bouharguane, Emmanuel Maitre, Edouard Oudet, Nicolas Papadakis. Méthodes numériques pour le transport optimal: application en analyse d'image. CANUM 2012 - Congrès National d'Analyse Numérique, May 2012, Superbesse, France. ⟨hal-00748924⟩
  • Vincent Chabot, Maëlle Nodet, Arthur Vidard, Nicolas Papadakis. Assimilation directe de séquences d'images bruités. Colloque National sur l'Assimilation de Données, Dec 2012, Nice, France. ⟨hal-00763248⟩
  • Alexandros Makris, Nicolas Papadakis. Data assimilation with state alignment using the EnKF. American Geophysical Union Fall Meeting - 2012, Dec 2012, San Francisco, United States. ⟨hal-00748926⟩
  • Vincent Chabot, Nicolas Papadakis, Maëlle Nodet, Arthur Vidard. Assimilation directe de séquences d'images. Advanced data assimilation for geosciences, May 2012, Les Houches, France. ⟨hal-00763200⟩
  • Alexandros Makris, Nicolas Papadakis. Data assimilation with state alignment using high-level image structures detection. CVRS 2012 - International Conference on Computer Vision in Remote Sensing, Dec 2012, Xiamen, China. pp.78-83, ⟨10.1109/CVRS.2012.6421237⟩. ⟨hal-00740666⟩
  • Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis. Active Contours without Level Sets. ICIP 2012 - IEEE International Conference on Image Processing, Sep 2012, Orlando, Florida, United States. pp.2549-2552, ⟨10.1109/ICIP.2012.6467418⟩. ⟨hal-00696065⟩
  • François-Xavier Le Dimet, M. Yussuf Hussaini, Nicolas Papadakis, Innocent Souopgui, Arthur Vidard. Assimilation of Images: A variational framework. ISEC - International Symposium on Earth-science Challenges, Sep 2011, Norman, Oklahoma, United States. ⟨hal-00769825⟩
  • Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo I Piracés, Vicent Caselles. Stereoscopic Image Inpainting using scene geometry. ICME 2011 - IEEE International Conference on Multimedia and Expo, Jul 2011, Barcelona, Spain. pp.1-6, ⟨10.1109/ICME.2011.6011901⟩. ⟨inria-00622591⟩
  • Nicolas Papadakis, Antonio Baeza, Xavier Armangué, Ignasi Rius, Aurélie Bugeau, et al.. Virtual camera synthesis for soccer game replays. Conference on Visual Media Production (CVMP'2010), Nov 2010, London, United Kingdom. pp.1-8. ⟨hal-00655853⟩
  • Alexandre Hervieu, Nicolas Papadakis, Aurélie Bugeau, Pau Gargallo I Piracés, Vicent Caselles. Stereoscopic image inpainting: distinct depth maps and images inpainting. 20th International Conference on Pattern Recognition, 2010, Turkey. pp.4101-4104,, ⟨10.1109/ICPR.2010.997⟩. ⟨hal-00551565⟩
  • Nicolas Papadakis, Antonio Baeza, Pau Gargallo I Piracés, Vicent Caselles. Polyconvexification of the multi-label optical flow problem. ICIP'10 - IEEE International Conference on Image Processing, Sep 2010, Hong-Kong, China. pp.765-768, ⟨10.1109/ICIP.2010.5652107⟩. ⟨hal-00596186⟩
  • Aurélie Bugeau, Pau Gargallo I Piracés, Olivier d'Hondt, Alexandre Hervieu, Nicolas Papadakis, et al.. Coherent Background Video Inpainting through Kalman Smoothing along Trajectories. VMV 2010 - 15th International Workshop on Vision, Modeling, and Visualization Workshop, Nov 2010, Siegen, Germany. pp.123-130, ⟨10.2312/PE/VMV/VMV10/123-130⟩. ⟨hal-00522641⟩
  • Johan Carlier, Nicolas Papadakis, Etienne Memin. Assimilation variationnelle de données dans un système dynamique d'ordre réduit. 19ème Congrès Français de Mécanique, Enseignement Supérieur de Marseille et de Provence, Aug 2009, Marseille, France. ⟨inria-00433388⟩
  • Nicolas Papadakis, Etienne Mémin. Estimation variationnelle et cohérente en temps de mouvements fluides. Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA'08), Jan 2008, Amiens, France. pp.1-8. ⟨hal-00655901⟩
  • Nicolas Papadakis, Etienne Mémin, Juan d'Adamo, Guillermo Artana. Assimilation variationelle de systèmes dynamiques d'ordre faible. 3ème Congrès national de mathématiques appliquées et industrielles (SMAI'07), Jun 2007, Praz sur Arly, France. ⟨hal-00656394⟩
  • Nicolas Papadakis, Etienne Mémin. A variational framework for spatio-temporal smoothing of fluid motions. Scale Space and Variational Methods (SSVM'07), May 2007, Ischia, Italy. pp.1-8. ⟨hal-00655902⟩
  • Nicolas Papadakis, Thomas Corpetti, Etienne Mémin. Dynamically consistent optical flow estimation. IEEE International Conference on Computer Vision (ICCV'07), Oct 2007, Rio de Janeiro, Brazil. pp.1-7, ⟨10.1109/ICCV.2007.4408889⟩. ⟨hal-00596200⟩
  • Nicolas Papadakis, Etienne Mémin. Variational optimal control technique for the tracking of deformable objects. IEEE International Conference on Computer Vision (ICCV'07), Oct 2007, Rio de Janeiro, Brazil. pp.1-8, ⟨10.1109/ICCV.2007.4408944⟩. ⟨hal-00596203⟩
  • Nicolas Papadakis, Patrick Héas, Etienne Mémin. Image assimilation for motion estimation of atmospheric layers with shallow-water model. Asian Conference on Computer Vision (ACCV'08), Nov 2007, Tokyo, Japan. pp.864-874. ⟨hal-00596194⟩
  • Patrick Héas, Etienne Mémin, Nicolas Papadakis. Dense estimation of layer motions in the atmosphere. International Conference on Pattern Recognition (ICPR'06), Aug 2006, China. pp.vol 3. ⟨hal-00655854⟩
  • Nicolas Papadakis, Anne Cuzol, Etienne Mémin. Suivi du mouvement fluide: approche stochastique et variationnelle. Journées Activités Universitaires de Mécanique (AUM'06), Aug 2006, La Rochelle, France. pp.1-4. ⟨hal-00655905⟩
  • Nicolas Papadakis, Etienne Mémin, Frédéric Cao. Une approche variationelle pour le suivi de contours. Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA'08), Jan 2006, Tours, France. pp.1-8. ⟨hal-00656390⟩
  • Nicolas Papadakis, Etienne Mémin, Frederic Cao. A variational approach for object contour tracking. ICCV Workshop on Variational, Geometric and Level Set Methods in Computer Vision (VLSM'05), Oct 2005, Beijing, China. pp.259-270. ⟨hal-00655852⟩

Directions of work or proceedings1 document

Preprints, Working Papers, ...10 documents

  • Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis. Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications. 2019. ⟨hal-01647869v2⟩
  • Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Samar M Alsaleh, Robby T Tan, et al.. Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian. 2019. ⟨hal-02170176⟩
  • Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schuetz, Carola-Bibiane Schönlieb. A multi-task U-net for segmentation with lazy labels. 2019. ⟨hal-02170180⟩
  • Nicolas Papadakis. Approximation of Wasserstein distance with Transshipment. 2019. ⟨hal-01997598⟩
  • Jérémie Bigot, Elsa Cazelles, Nicolas Papadakis. Data-driven regularization of Wasserstein barycenters with an application to multivariate density registration. 2018. ⟨hal-01790015⟩
  • Nicolas Papadakis, Arnaud Dessein, Charles-Alban Deledalle. Parameter Estimation in Finite Mixture Models by Regularized Optimal Transport: A Unified Framework for Hard and Soft Clustering. 2017. ⟨hal-01635325⟩
  • Romain Hug, Emmanuel Maitre, Nicolas Papadakis. On the convergence of augmented Lagrangian method for optimal transport between nonnegative densities. 2017. ⟨hal-01128793v3⟩
  • Jérémie Bigot, Cazelles Elsa, Nicolas Papadakis. Regularization of barycenters in the Wasserstein space. 2016. ⟨hal-01333397⟩
  • Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta. Luminance-Chrominance Model for Image Colorization. 2014. ⟨hal-01051308⟩
  • Afaf Bouharguane, Emmanuel Maitre, Edouard Oudet, Nicolas Papadakis. Multiphysics optimal transportation and image analysis. 2012. ⟨hal-00740671⟩

Reports3 documents

  • Thomas Corpetti, Patrick Héas, Etienne Memin, Nicolas Papadakis. Pressure image assimilation for atmospheric motion estimation. [Research Report] RR-6507, INRIA. 2008, pp.40. ⟨inria-00273838v2⟩
  • Patrick Héas, Nicolas Papadakis, Etienne Memin. Time-consistent estimators of 2D/3D motion of atmospheric layers from pressure images. [Research Report] RR-6292, INRIA. 2007. ⟨inria-00172330v2⟩
  • Nicolas Papadakis, Etienne Memin. A variational method for joint tracking of curve and motion. [Research Report] RR-6283, INRIA. 2007, pp.45. ⟨inria-00171087v2⟩

Theses1 document

  • Nicolas Papadakis. Assimilation de données images : application au suivi de courbes et de champs de vecteurs. Traitement du signal et de l'image [eess.SP]. Université Rennes 1; PhD thesis, 2007. Français. ⟨tel-00655898⟩

Habilitation à diriger des recherches1 document

  • Nicolas Papadakis. Optimal Transport for Image Processing. Signal and Image Processing. Université de Bordeaux; Habilitation thesis, 2015. ⟨tel-01246096v8⟩