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Jean-Francois Aujol's Publications

Refereed Journal Publications          Unpublished          Editorials          Refereed Conference Publications          Other         Main Publications

 

Submitted papers

 

  1. Gradient correlation is needed to accelerate SGD with momentum, HAL Preprint 04728121,
    J. Hermant, M. Renaud, J-F. Aujol, C. Dossal, and A. Rondepierre, 2024.
  2. Towards optimal algorithms for the recovery of low-dimensional models with linear rates, HAL Preprint 04725337,
    Y. Traonmilin, J-F. Aujol, and A. Guennec, 2024.
  3. Strong Convergence of FISTA Iterates under Hölderian and Quadratic Growth Conditions, HAL Preprint 04660448,
    J-F. Aujol, C. Dossal, H. Labarriere, and A. Rondepierre, 2024.
  4. Joint structure-texture low dimensional modeling for image decomposition with a plug and play framework, HAL Preprint 04648963,
    A. Guennec, J-F. Aujol, Y. Traonmilin, 2024
  5. Study of the behaviour of Nesterov Accelerated Gradient in a non convex setting: the strongly quasar convex case, HAL Preprint 04589853,
    J. Hermant, J-F. Aujol, C. Dossal, and A. Rondepierre, 2024.
  6. Heavy Ball Momentum for Non-Strongly Convex Optimization, HAL Preprint 04500652,
    J-F. Aujol, C. Dossal, H. Labarriere, and A. Rondepierre, 2024.
  7. FISTA restart using an automatic estimation of the growth parameter, HAL Preprint 03153525,
    J-F. Aujol, C. Dossal, H. Labarriere, and A. Rondepierre, 2021.

 

Refereed Journal Publications

 

    To get a list of journal publications sorted by mathematical topics, just click here.

  1. Parameter-Free FISTA by Adaptive Restart and Backtracking,
    J-F. Aujol, L. Calatroni, C. Dossal, H. Labarriere, and A. Rondepierre, SIAM Journal on Optimization, 2024.
  2. Minimizing Quotient Regularization Model,
    C. Wang, J-F. Aujol, G. Gilboa, and Y. Lou, Inverse Problems and Imaging, 2024.
  3. Sketched over-parametrized projected gradient descent for sparse spike estimation,
    P-J. Bénard, Y. Traonmilin, and J-F. Aujol, IEEE Signal Processing Letters, 2024.
  4. Estimation of off-the-grid sparse spikes with over-parametrized projected gradient descent: theory and application,
    P-J. Bénard, Y. Traonmilin, J-F. Aujol, and E. Soubies, Inverse Problems, volume 40, number 5, 2024 .
  5. Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising,
    H. Shi, Y. Traonmilin, and J-F. Aujol, Journal of Mathematical Imaging and Vision, 2024.
  6. FISTA is an automatic geometrically optimized algorithm for strongly convex functions,
    J-F. Aujol, C. Dossal, and A. Rondepierre, Mathematical Programming, volume 204, issue 1-2, 2024.
  7. On strong basins of attractions for non-convex sparse spike estimation: upper and lower bounds,
    Y. Traonmilin, J-F. Aujol, P-J. Bénard, and A. Leclaire, Journal of Mathematical Imaging and Vision, volume 66, issue1, 2023.
  8. Fast convergence of inertial dynamics with Hessian-driven damping under geometry assumptions,
    J-F. Aujol, C. Dossal, Van Hao Hoang, H. Labarriere, and A. Rondepierre, Applied Mathematics and Optimization, volume 88, issue 3, 2023
  9. Image super-resolution with PCA Reduced generalized Gaussian mixture models,
    L. Nguyen, J. Hertrich, J-F. Aujol, Y. Berthoumieu, Inverse Problems and Imaging, volume 17, number 6, pp. 1165-1192, 2023.
  10. The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension,
    Y. Traonmilin, J-F. Aujol, and A. Leclaire, Information and Inference, volume 12, issue 1, 2023.
  11. Compressive learning for patch-based image denoising,
    H. Shi, Y. Traonmilin, and J-F. Aujol, SIAM Journal on Imaging Sciences, volume 15, issue 3, 2022.
  12. Convergence rates of the Heavy-Ball method for quasi-strongly convex optimization,
    J-F. Aujol, C. Dossal, and A. Rondepierre, SIAM Journal on Optimization, volume 32, issue 3, 2022.
  13. Convergence rates of the Heavy-Ball method with Lojasiewicz property,
    J-F. Aujol, C. Dossal, and A. Rondepierre, Mathematical Programming, pages 1-60, 2022.
  14. PCA Reduced Gaussian Mixture Models with Applications in Superresolution,
    J. Hertrich, L. Nguyen, J-F. Aujol, D. Bernard, Y. Berthoumieu, A. Saadaldin and G. Steidl, Inverse Problems and Imaging, volume 16, number 2, 2022.
  15. Generative Adversarial Network for Pansharpening with Spectral and Spatial Discriminators,
    A. Gastineau, J-F. Aujol, Y. Berthoumieu, and C. Germain, IEEE Transactions on Geoscience and Remote Sensing, volume 60, 2021.
  16. Recent Approaches for Image Colorization,
    F. Pierre and J-F. Aujol, in Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2021.
  17. Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions,
    V. Apidopoulos, J-F. Aujol, C. Dossal, and A. Rondepierre, Mathematical Programming, pages 1-43, 2020.
  18. Projected Gradient Descent for Non-Convex Sparse Spike Estimation,
    Y. Traonmilin, J.-F. Aujol, and A. Leclaire, IEEE Signal Processing Letters, volume 27, 2020.
  19. The basins of attraction of the global minimizers of the non-convex sparse spike estimation problem,
    Y. Traonmilin and J-F. Aujol, Inverse Problems, volume 36, number 4, 2020.
  20. Optimal convergence rates for Nesterov acceleration,
    J-F. Aujol, C. Dossal, and A. Rondepierre, SIAM Journal on Optimization, volume 29, number 4, pages 3131-3153, 2019.
  21. Rayleigh quotient minimization for absolutely one-homogeneous functionals ,
    T. Feld, J-F. Aujol, G. Gilboa, and N. Papadakis, Inverse Problems, volume 35, number 6, 2019.
  22. Diffusion and inpainting of reflectance and height LiDAR orthoimages,
    P. Biasutti, J-F Aujol, M. Bredif, and A. Bugeau, Computer Vision and Image Understanding, volume 179, pages 31-40, 2019.
  23. Theoretical Analysis of Flows Estimating Eigenfunctions of One-homogeneous Functionals,
    J-F. Aujol, G. Gilboa, and N. Papadakis, SIAM Journal on Imaging Sciences, volume 11, number 2, pages 1416-1440, 2018.
  24. Convergence rate of inertial Forward-Backward algorithm beyond Nesterov's rule ,
    V. Apidopoulos, J-F. Aujol, and C. Dossal, Mathematical Programming, 2018.
  25. The differential inclusion modeling the FISTA algorithm and optimality of convergence rate in the case b<=3,
    V. Apidopoulos, J-F Aujol and C. Dossal, SIAM Journal on Optimization, volume 28, number 1, pages 551-574, 2018.
  26. Range-Image: Incorporating sensor topology for LIDAR point clouds processing,
    P. Biasutti, J-F Aujol, M. Bredif and A. Bugeau, Photogrammetric Engineering & Remote Sensing, volume 84, number 6, pages 367-375, 2018.
  27. Variational Methods for Normal Integration,
    Y. Queau, J-D Durou and J-F Aujol, Journal of Mathematical Imaging and Vision, volume 60, issue 4, pages 609-632, 2018.
  28. Normal Integration: A Survey,
    Y. Queau, J-D Durou and J-F Aujol, Journal of Mathematical Imaging and Vision, volume 60, issue 4, pages 576-593, 2018.
  29. Interactive Video Colorization within a Variational Framework,
    F. Pierre, J-F. Aujol, A. Bugeau, and V. Ta, SIAM Journal on Imaging Sciences, volume 10, number 4, pages 2293-2325, 2017.
  30. Joint Inpainting of Depth and Reflectance with Visibility Estimation,
    M. Bevilacqua, P. Biasutti, J-F Aujol, M. Bredif, and A. Bugeau, ISPRS Journal of Photogrammetry and Remote Sensing, volume 125, pages 16-32, 2017.
  31. Texture Reconstruction guided by the Histogram of a High-Resolution patch,
    M. El Gueche, J-F Aujol, Y. Berthoumieu, and C-A. Deledalle, IEEE Transactions on Image Processing, volume 26, number 2, pages 549-560, 2017.
  32. Variational Contrast Enhancement of Gray-Scale and RGB Images,
    F. Pierre, J-F. Aujol, A. Bugeau, G. Steidl, and V. Ta, Journal of Mathematical Imaging and Vision, volume 57, pages 99-116, 2017.
  33. Image Zoom Completion,
    M. Hidane, M. El Gueche, J-F Aujol, Y. Berthoumieu, and C-A. Deledalle, IEEE Transactions on Image Processing, volume 25, number 8, pages 3505-3517, 2016.
  34. Estimation of the noise level function based on a non-parametric detection of homogeneous image regions,
    C. Sutour, C-A. Deledalle, and J-F. Aujol, SIAM Journal on Imaging Sciences, volume 8, number 4, pages 2622-2661, 2015.
  35. Stability of over-relaxations for the Forward-Backward algorithm, Application to FISTA,
    J-F. Aujol and C. Dossal, SIAM Journal on Optimization, volume 25, number 4, pages 2408-2433, 2015.
  36. Edge-based multi-modal registration and application for night vision devices,
    C. Sutour, J-F. Aujol, C-A. Deledalle, and B. Denis de Senneville, Journal of Mathematical Imaging and Vision, volume 53, number 2, pages 131-150, 2015.
  37. Luminance-Chrominance Model for Image Colorization,
    F. Pierre, J-F. Aujol, A. Bugeau, N. Papadakis, and V. Ta, SIAM Journal on Imaging Sciences, volume 8, number 1, pages 536-563, 2015.
  38. Adaptive regularization of the NL-means: Application to image and video denoising,
    C. Sutour, C. Deledalle, and J-F. Aujol, IEEE Transactions on Image Processing, volume 23, number 8, August 2014.
  39. Regularized Discrete Optimal Transport,
    S. Ferradans, N. Papadakis, G. Peyre, and J-F. Aujol, SIAM Journal on Imaging Sciences, 2014, volume 7, issue 3, pp. 1853-1882, 2014.
  40. Synthesizing and Mixing Stationary Gaussian Texture Models
    G-S. Xia, S. Ferradans, G. Peyre, and J-F. Aujol, SIAM Journal on Imaging Sciences, volume 8, number 1, pp 476-508, 2014.
  41. Poisson Skeleton Revisited: A New Mathematical Perspective
    G. Aubert and J-F. Aujol, Journal of Mathematical Imaging and Vision, volume 48, issue 1, pp 149-159, 2014.
  42. High-dimension multi-label problems: convex or non convex relaxation?
    N. Papadakis, R. Yildizoglu, J-F. Aujol and V. Caselles, SIAM Journal on Imaging Sciences, volume 6, number 4, pp 2603-2639, 2013.
  43. Some proximal methods for Poisson intensity CBCT and PET
    S. Antoine, J-F. Aujol, Y. Boursier and C. Melot, Inverse Problems and Imaging, volume 6, number 4, 2012.
  44. A bias-variance approach for the Non-Local Means
    Vincent Duval, Jean-Francois Aujol and Yann Gousseau, SIAM Journal on Imaging Sciences, volume 4, number 2, pages 760-788, 2011.
  45. Locally parallel texture modeling
    Pierre Maurel, Jean-Francois Aujol and Gabriel Peyre, SIAM Journal on Imaging Sciences, volume 4, number 1, pages 413-447, 2011.
  46. Exemplar-based inpainting from a variational point of view
    Jean-Francois Aujol , Said Ladjal, and Simon Masnou, SIAM Journal on Mathematical Analysis, volume 42, issue 3, pages 1246-1285, 2010.
  47. Mathematical modeling of textures : application to color image decomposition with a projected gradient algorithm
    Vincent Duval, Jean-Francois Aujol and Luminita Vese, Journal of Mathematical Imaging and Vision, volume 37, issue 3, pages 232-248, 2010.
  48. The TVL1 model: a geometric point of view
    Vincent Duval, Jean-Francois Aujol and Yann Gousseau, SIAM Journal on Multiscale Modeling and Simulation, volume 8, number 1, pages 154-189, November 2009.
  49. Local scale measure from the topographic map and application to remote sensing images
    Bin Luo, Jean-Francois Aujol and Yann Gousseau, SIAM Journal on Multiscale Modeling and Simulation, volume 8, number 1, pages 1-29, September 2009.
  50. Some first-order algorithms for total variation based image restoration
    Jean-Francois Aujol, Journal of Mathematical Imaging and Vision, volume 34, number 3, pages 307-327, July 2009.
  51. Irregular to regular sampling, denoising and deconvolution
    Gabriele Facciolo, Andres Almansa, Jean-Francois Aujol and Vicent Caselles, SIAM Journal on Multiscale Modeling and Simulation, volume 7, number 4, pages 1574-1608, April 2009.
  52. Indexing of satellite images with different resolutions by wavelet features
    Bin Luo, Jean-Francois Aujol, Yann Gousseau and Said Ladjal, IEEE Transactions on Image Processing, volume 17, number 8, pages 1465-1472, August 2008.
  53. A Variational Approach to removing Multiplicative Noise
    Gilles Aubert and Jean-Francois Aujol, SIAM Journal on Applied Mathematics, volume 68, number 4, pages 925-946, January 2008.
  54. Resolution independant characteristic scale dedicated to satellite images
    Bin Luo, Jean-Francois Aujol, Yann Gousseau, Said Ladjal and Henri Maitre, IEEE Transactions on Image Processing, volume 16, number 10, pages 2503-2514, October 2007.
  55. Constrained and SNR-based Solutions for TV-Hilbert Space Image Denoising
    Jean-Francois Aujol and Guy Gilboa, Journal of Mathematical Imaging and Vision, volume 26, numbers 1-2, pages 217-237, November 2006.
  56. Scale recognition, regularization parameter selection, and Meyer's G norm in total variation regularization
    David Strong, Jean-Francois Aujol and Tony Chan, SIAM Journal on Multiscale Modeling and Simulation, volume 5, number 1, pages 273-303, 2006.
  57. Combining geometrical and textured information to perform image classification
    Jean-Francois Aujol and Tony Chan, Journal of Visual Communication and Image Representation, volume 17, number 5, pages 1004-1023, October 2006.
  58. Color image decomposition and restoration
    Jean-Francois Aujol and Sung H. Kang, Journal of Visual Communication and Image Representation, volume 17, number 4, pages 916-928, August 2006.
  59. Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
    Jean-Francois Aujol, Guy Gilboa, Tony Chan, and Stanley Osher, International Journal of Computer Vision, volume 67, number 1, pages 111-136, April 2006.
  60. Detecting codimension-two objects in an image with Ginzburg-Landau models
    Gilles Aubert, Jean-Francois Aujol and Laure Blanc-Feraud, International Journal of Computer Vision, volume 65, numbers 1-2, pages 29-42, November 2005.
  61. Dual norms and image decomposition models
    Jean-Francois Aujol and Antonin Chambolle, International Journal of Computer Vision, volume 63, number 1, pages 85-104, June 2005.
  62. Modeling very oscillating signals. Application to image processing
    Gilles Aubert and Jean-Francois Aujol, Applied Mathematics and Optimization, volume 51, number 2, pages 163-182, March/April 2005.
  63. Image decomposition into a bounded variation component and an oscillating component
    Jean-Francois Aujol, Gilles Aubert, Laure Blanc-Feraud and Antonin Chambolle, Journal of Mathematical Imaging and Vision, volume 22, number 1, pages 71-88, January 2005.
  64. Optimal partitions, regularized solutions, and application to image classification
    Gilles Aubert and Jean-Francois Aujol, Applicable Analysis, volume 84, number 1, pages 15-35, January 2005.
  65. Wavelet-based level set evolution for classification of textured images
    Jean-Francois Aujol, Gilles Aubert and Laure Blanc-Feraud, IEEE Transactions on Image Processing, volume 12, number 12, pages 1634-1641, December 2003.

 

Unpublished papers

 

  1. Real-time multi-sport action tracking with convolutional neural networks, HAL Preprint 03876332,
    A. Baldanza, J-F. Aujol, Y. Traonmilin, and F. Alary, 2022.
  2. Rates of Convergence of Perturbed FISTA-based algorithms , HAL Preprint 02182949,
    J-F. Aujol, C. Dossal, G. Fort, and E. Moulines, 2022.

 

Editorials

 

  1. Aujol, J. F., Fadili, J., Hintermuller, M., Peyre, G., Plonka-Hoch, G., & Steidl, G. (2019). Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). Journal of Mathematical Imaging and Vision, 61(5), 643-644.
  2. Aujol, J. F., Nikolova, M., & Papadakis, N. (2016). Guest Editorial: Scale-Space and Variational Methods. Journal of Mathematical Imaging and Vision, 56(2), 173-174.
  3. Peyre, Gabriel & Fadili, Jalal & Aujol, Jean-Francois & Cohen, Laurent. (2014). Guest Editorial: JMIV Special Issue Mathematics and Image Analysis. Journal of Mathematical Imaging and Vision. 48(2), 203-204

 

Refereed Conference Publications

 

  1. Adaptive parameter selection for gradient-sparse + low patch-rank recovery: application to image decomposition
    A. Guennec, J-F. Aujol, and Y. Traonmilin, EUSIPCO 2024, Lyon.
  2. Projected block coordinate descent for sparse spike estimation,
    P-J. Bénard, Y. Traonmilin, and J-F. Aujol, EUSIPCO 2024, Lyon.
  3. Estimation of off-the-grid sparse spikes for super-resolution with over-parametrized projected gradient descent,
    P-J. Bénard, Y. Traonmilin, J-F. Aujol, and E. Soubies, SIAM Conference on Imaging Sciences 2024, Atlanta, USA.
  4. Compressive learning of deep regularization for denoising,
    H. Shi, Y. Traonmilin, and J-F. Aujol, SSVM 2023, Sardinia, Italy.
  5. Fast off-the-grid sparse recovery with over-parametrized projected gradient descent,
    P-J. Benard, Y. Traonmilin, and J-F. Aujol, EUSIPCO 2022, Belgrade, Serbia.
  6. Piecewise linear prediction model for action tracking in sports,
    A. Baldenza, J-F. Aujol, Y. Traonmilin, and F. Alary, EUSIPCO 2022, Belgrade, Serbia.
  7. Patch-based image Super Resolution using generalized Gaussian mixture model,
    L. Nguyen, J-F. Aujol and Y. Berthoumieu, GRETSI 2022, Nancy, France.
  8. Sketched learning for image denoising,
    H. Shi, Y. Traonmilin, and J-F. Aujol, SSVM 2021, Cabourg.
  9. Detection des defauts dans les vieux films par apprentissage profond a partir d'une restauration semi-manuelle,
    A. Renaudeau, T. Seng, A. Carlier, F. Pierre, F. Lauze, J-F. Aujol, and J-D. Durou, ORASIS 2021, Lac de Saint-Ferreol.
  10. Decoupage automatique de videos de sport amateur par detection de personnes et analyse de contenu colorimetrique,
    A. Baldanza, J-F. Aujol, Y. Traonmilin, and F. Alary, ORASIS 2021, Lac de Saint-Ferreol.
  11. Learning Defects in Old Movies from Manually Assisted Restoration,
    A. Renaudeau, T. Seng, A. Carlier, F. Pierre, F. Lauze, J-F. Aujol, and J-D. Durou, ICPR 2020, Milan.
  12. A residual dense generative adversarial network for pansharpening with geometrical constraints,
    A. Gastineau, J-F. Aujol, Y. Berthoumieu, and C. Germain, ICIP 2020, Abou Dabi.
  13. An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint,
    Y. Traonmilin, J.-F. Aujol, and A. Leclaire, iTWIST 2020, Nantes.
  14. LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net,
    P. Biasutti, V. Lepetit, M. Bredif, J.-F. Aujol, A. Bugeau, Computer Vision for Road Scene Understanding and Autonomous Driving (CVRSUAD, ICCV workshop), 2019.
  15. Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies,
    A. Renaudeau, F. Lauze, F. Pierre, J-F. Aujol, and J-D. Durou, SSVM 2019, Hofgeismar, Germany.
  16. Visibility estimation in point clouds with variable density,
    P. Biasutti, J-F. Aujol, M. Bredif, and A. Bugeau, VISAPP 2019, Prague, Czech Republic.
  17. Fusion d'images non locale preservant la geometrie,
    A. Gastineau, J-F. Aujol, Y. Berthoumieu, and C. Germain, GRETSI 2019, Lille.
  18. Detection et localisation d'objets 3D par apprentissage profond en topolgie capteur,
    P. Biasutti, A. Bugeau, J-F. Aujol, and M. Bredif, GRETSI 2019, Lille.
  19. Inpainting vidéo pour la restauration de films par reconstructions alternées de la structure et de la texture,
    A. Renaudeau, F. Lauze, F. Pierre, J-F. Aujol, and J-D. Durou, ORASIS 2019, Saint-Die-des-Vosges.
  20. Regularized projection of an image domain triangulation for disparity map refinement,
    B. Le Bouill, J-F. Aujol, Y. Berthoumieu and C. Deledalle, ISIVC 2018, Rabat, Morocco.
  21. Estimation de visibilite dans un nuage de points LiDAR,
    P. Biasutti, J-F. Aujol, M. Bredif, A. Bugeau, CFPT 2018, Marne La Vallee, France.
  22. Theoretical Analysis of Flows Estimating Eigenfunctions of One-homogeneous Functionals,
    J-F. Aujol, G. Gilboa, and N. Papadakis, SIAM Conference on Imaging Science 2018, Bologna, Italy.
  23. Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation,
    F. Pierre, J-F. Aujol, N. Papadakis, and C-A. Deledalle, EMMCVPR 2017, Venice, Italy.
  24. An ODE-based modeling of inertial Forward-Backward algorithm,
    V. Apidopoulos, J-F. Aujol, and C. Dossal, SPARS 2017, Lisbon, Portugal.
  25. Disocclusion of 3D Lidar point cloud using range images,
    P. Biasutti, J-F. Aujol, M. Bredif, and A. Bugeau, ISPRS workshop 2017, Hannover, Germany.
  26. Desoccultation de nuage de points LIDAR en topologie capteur,
    P. Biasutti, J-F. Aujol, M. Bredif, and A. Bugeau, GRETSI 2017, Juan-Les-Pins, France.
  27. Estimation de cartes de profondeurs basee sur un maillage triangulaire d'une paire stereo,
    B. Le Bouill, Y. Berthoumieu, J-F. Aujol and C. Deledalle, GRETSI 2017, Juan-Les-Pins, France.
  28. Hue-preserving perceptual contrast enhancement,
    F. Pierre, J-F. Aujol, A. Bugeau, and V-T. Ta, ICIP 2016, Phoenix.
  29. Visibility estimation and joint inpainting of Lidar depth maps,
    M. Bevilacqua, J-F. Aujol, M. Bredif, and A. Bugeau, ICIP 2016, Phoenix.
  30. Automatic estimation of the noise level function for adaptive blind denoising,
    C. Sutour, C-A. Deledalle, and J-F. Aujol, EUSIPCO 2016, Budapest.
  31. Texture sytnhesis guided by a low-resolution image,
    M. El Gueche, J-F. Aujol, Y. Berthoumieu, C.A. Deledalle and R. Fablet IVMSP 2016, Bordeaux.
  32. Diffusion anisotrope et inpainting d'orthophotographies LiDAR mobile,
    P. Biasutti, J-F. Aujol, M. Bredif, and A. Bugeau, RFIA 2016, Clermont Ferrand, France.
  33. A variational approach for color image enhancement,
    J-F. Aujol, F. Pierre, A. Bugeau, and V-T. Ta, SIAM Conference on Imaging Science 2016, Albuquerque.
  34. Fundamentals of Non-local Total Variation Spectral Theory ,
    J-F. Aujol, G. Gilboa and N. Papadakis, SSVM 2015, Lege Cap Ferret, France.
  35. A Luminance-Hue Specification in the RGB Space,
    F. Pierre, J-F. Aujol, A. Bugeau, and V-T. Ta, SSVM 2015, Lege Cap Ferret, France.
  36. Combinaison lineaire optimale de metriques pour la colorisation d'images,
    F. Pierre, J-F. Aujol, A. Bugeau, and V-T. Ta, GRETSI 2015, Lyon, France.
  37. Estimation du niveau de bruit par la detection non parametrique de zones homogenes,
    C. Sutour, C-A. Deledalle, and J-F. Aujol, GRETSI 2015, Lyon, France.
  38. Adaptive regularization of the NL-means for video denoising,
    C. Sutour, J-F. Aujol, C. Deledalle, and J-P. Domenger, ICIP 2014, Paris.
  39. Exemplar-based colorization in RGB color space,
    F. Pierre, J-F. Aujol, A. Bugeau, N. Papadakis, and V. Ta, ICIP 2014, Paris.
  40. Super-resolution from a Low- and Partial High- Resolution Image Pair,
    M. Hidane, J-F. Aujol, Y. Berthoumieu, and C. Deledalle, ICIP 2014, Paris.
  41. Unified Image Colorization,
    F. Pierre, J-F. Aujol, A. Bugeau, and V. Ta, CPCV, ECCV 2014, Zurich.
  42. A Convex Formulation for Global Histogram Based Binary Segmentation ,
    J-F. Aujol, N. Papadakis, R. Yildizoglu, SIAM Conference on Imaging Science 2014, Hong-Kong.
  43. Examplar-Based Image Colorization Using RGB ,
    J-F. Aujol, F. Pierre, A. Bugeau, V. Ta and N. Papadakis, SIAM Conference on Imaging Science 2014, Hong-Kong.
  44. A Convex Formulation for Global Histogram Based Binary Segmentation,
    R. Yildizoglu, J-F. Aujol, and N. Papadakis, EMMCVPR 2013.
  45. Regularized Discrete Optimal Transport ,
    S. Ferradans, N. Papadakis, J. Rabin, G. Peyre, and J-F. Aujol, SSVM 2013.
  46. Static and dynamic texture mixing using Optimal Transport ,
    S. Ferradans, G-S. Xia, G. Peyre, and J-F. Aujol, SSVM 2013.
  47. Une formulation convexe pour la segmentation binaire d'images a partir d'histogrammes,
    R. Yildizoglu, J-F. Aujol, and N. Papadakis GRETSI 2013, Brest.
  48. TV-NL : Une cooperation entre les NL-means et les methodes variationnelles,
    C. Sutour, J-F. Aujol, and C. Deledalle GRETSI 2013, Brest.
  49. Active contours without level sets,
    Romain Yildizoglu, Jean-Francois Aujol, and Nicolas papadakis, ICIP 2012, Orlando.
  50. Compact representations of stationary dynamic textures,
    Gui-Song Xia, Sira Ferradans, Gabriel Peyre and Jean-Francois Aujol, ICIP 2012, Orlando.
  51. Proximal Algorithms and CT: New Results on 3D Real Datas and Color CT ,
    Y Boursier, M Dupont, S Anthoine, J-F Aujol, C Melot, SIAM Conference on Imaging Science 2012, Philadelphia.
  52. On the efficiency of proximal methods in CBCT and PET,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, ICIP 2011, Brussels.
  53. Methodes proximales en tomographie CBCT et TEP,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, GRETSI 2011, Bordeaux.
  54. Some proximal methods for CBCT and PET tomography,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, SPIE 2011, San Diego.
  55. On the efficiency of proximal methods for CBCT and PET reconstruction with sparsity constraint,
    Sandrine Anthoine, Jean-Francois Aujol, Yannick Boursier, and Clothilde Melot, SPARS 2011, Edinburgh.
  56. Exemplar-based inpainting from a variational point of view,
    Jean-Francois Aujol, Said Ladjal, and Simon Masnou, SIAM Conference on Imaging Science 2010, Chicago.
  57. Calibrable sets and scales for TV-L2 and TV-L1 models,
    Jean-Francois Aujol, Vincent Duval, and Yann Gousseau, SIAM Conference on Imaging Science 2010, Chicago.
  58. Modeling locally parallel oscillating patterns,
    Jean-Francois Aujol, Pierre Maurel, and Gabriel Peyre, SIAM Conference on Imaging Science 2010, Chicago.
  59. Integration d'un champs de normal en presence de discontinuites
    Jean-Denis Durou and Jean-Francois Aujol, RFIA 2010.
  60. Locally Parallel Textures Modeling with Adapted Hilbert Spaces
    Pierre Maurel, Jean-Francois Aujol and Gabriel Peyre, EMMCVPR 2009, LNCS 5681, pages 429-442.
  61. Integrating the Normal Field of a Surface in the Presence of Discontinuities
    Jean-Denis Durou, Jean-Francois Aujol and Frederic Courteille, EMMCVPR 2009, LNCS 5681, pages 261-273.
  62. Projected gradient based Color Image Decomposition
    Vincent Duval, Jean-Francois Aujol and Luminita Vese, SSVM 2009 , LNCS 5567, pages 295-306.
  63. Accurate Local Scale Measure for Remote Sensing Images
    Bin Luo, Jean-Francois Aujol and Yann Gousseau, SSVM 2009 , LNCS 5567, pages 856-867.
  64. Extraction de textures localement paralleles par un espace de Hilbert adapte
    Pierre Maurel, Jean-Francois Aujol and Gabriel Peyre, GRETSI 2009
  65. Morphological Segmentation of Remote Sensing Images Based on Scale
    Bin Luo, Jean-Francois Aujol and Yann Gousseau, SIAM Annual Meeting 2008, San Diego.
  66. A Nonconvex Model for Speckle Noise Removal
    Jean-Francois Aujol and Gilles Aubert, SIAM Conference on Imaging Science 2008, San Diego.
  67. A nonconvex model to remove multiplicative noise
    Gilles Aubert and Jean-Francois Aujol, SSVM 2007 , LNCS 4485, pages 68-79.
  68. Cartographie des achelles d'une image a partir de la carte topographique. Applications aux images satellitaires
    Bin Luo, Jean-Francois Aujol, Yann Gousseau and Henri Maitre, GRETSI 2007
  69. Extrapolation d'attibuts ondelettes pour l'indexation de bases d'images satellitaires a differentes resolutions
    Bin Luo, Jean-Francois Aujol, Yann Gousseau and Said Ladjal, GRETSI 2007
  70. Interpolation of wavelet features for satellite images with different resolutions
    Bin Luo, Jean-Francois Aujol, Yann Gousseau and Said Ladjal, IGARSS 2006 , volume 1, pages 176 - 179.
  71. Scale Characterization for Satellite Images
    Bin Luo, Jean-Francois Aujol, Yann Gousseau, Said Ladjal and Henri Maitre, ICASSP 2006 , volume 2, pages 809- 812.
  72. Adaptive Structure-Texture Image Decomposition
    Jean-Francois Aujol, Guy Gilboa, Tony Chan, and Stanley Osher, SIAM Conference on Imaging Science 2006 , Minneapolis.
  73. Structure-Texture Decomposition by a TV-Gabor model
    Jean-Francois Aujol, Guy Gilboa, Tony Chan and Stanley Osher, VLSM 2005, LNCS 3752, pages 85-96.
  74. Combined geometric-texture image classification
    Jean-Francois Aujol and Tony Chan, VLSM 2005, LNCS 3752, pages 161-172.
  75. Simultaneous structure and texture compact representation
    Jean-Francois Aujol and Basarab Matei, ACIVS 2004.
  76. Decomposition d'images. Application aux images RSO.
    Jean-Francois Aujol, Gilles Aubert, Laure Blanc-Feraud and Antonin Chambolle, GRETSI 2003 .
  77. Wavelet-based level set evolution for classification of textured images
    Jean-Francois Aujol, Gilles Aubert and Laure Blanc-Feraud, ICIP 2003, volume 2, pages 1041-1044.
  78. Image decomposition. Application to SAR images.
    Jean-Francois Aujol, Gilles Aubert, Laure Blanc-Feraud and Antonin Chambolle, Scale-Space 2003, LNCS 2695, pages 297-312.

 

Invited conferences and workshops, talks

 

Click here to see them.

 

Habilitation a Diriger des Recherches (in French)

 

Utilisation de methodes variationnelles en traitement d'image

 

PhD Thesis (in French)

 

Contribution to texture analysis in image processing by variational methods and partial differential equations
Award: best PhD Thesis in signal and image processing (EEA club award)

 

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