Conferences of Gilles Aubert

     

  1. A deterministic algorithm for edge preserving computed imaging using Legendre transform. G. Aubert-M. Barlaud-.L Blanc Féraud- P.Charbonnier. 12th ICPR, International Conference on Pattern Recognition. Jerusalem, oct 1994, p188-191.

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  2. Two deterministic half-quadratic regularization algorithms for computed imaging. G. Aubert-M. Barlaud-.L Blanc Féraud- P.Charbonnier. I.C.I.P, IEEE, International Conference on Image Processing. Austin, Texas, nov 1994, Vol II, p168-172.

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  3. Nonlinear image processing: Modeling and fast algorithms for regularization with edge detection. G. Aubert-M. Barlaud-.L Blanc Féraud- P.Charbonnier. I.C.I.P, IEEE, oct 1995, Washington.

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  4. Edge modeling for nonlinear image processing. G.Aubert-M. Barlaud-.L Blanc Féraud-X. Dupuis, IEEE, IMDSP, 9th, March 96, Belize.

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  5. Nonlinear regularization using constrained edges in image reconstruction. G.Aubert-M.Barlaud-.L Blanc Féraud- S.Teboul, I.C.I.P. IEEE sept 96, Lausanne.

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  6. Image restoration via PDE. G.Aubert- R.Deriche- P.Kornprobst, S.P.I.E Conference, Investigate Image Processing, Boston, USA, Nov 1996.

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  7. Image coupling, restoration and enhancement via PDE's. G.Aubert- R.Deriche- P.Kornprobst, I.C.I.P, IEEE, Santa Barbara, California, USA, oct 97.

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  8. Segmentation and edge preserving restoration. G.Aubert-M.Barlaud-.L Blanc Féraud- S.Teboul, I.C.I.P, IEEE, Santa Barbara, California, USA, oct 97.

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  9. Nonlinear operators in image restoration. G.Aubert-P.Kornprobst-R.Deriche, C.V.P.R, Porto Rico, juin 1997.

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  10. Nonlinear dynamic filtering for image compression. G.Aubert-M.Antonini-M.Barlaud-S.Tramini, I.C.I.P, IEEE, Santa Barbara, California, USA, oct 1997.

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  11. Filtrage non linéaire dynamique pour la compression d'images. G.Aubert-M.Antonini-M.Barlaud-S.Tramini, GRETSI, Grenoble, septembre 1997.

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  12. Contours déformables et recontruction tomographique en imagerie médicale. G.Aubert-M.Barlaud-L Blanc Féraud- S.Teboul, GRETSI, Grenoble, septembre 1997.

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  13. EDP, débruitage et réhaussement en traitement d'images : analyse et contributions. G.Aubert-P.Kornprobst-R.Deriche, Colloque Reconnaissance des Formes et Intelligence Ar ificielle, Clermont-Ferrand, janv 1998.

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  14. Attenuation map segmentation without reconstruction using a level set method in nuclear medecine imaging. G.Aubert-M.Barlaud-E. Debreuve-J. Darcourt, I.C.I.P, IEEE, Chicago, USA, oct 1998.

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  15. Quantization noise removal for optimal transform decoding. G.Aubert-M.Antonini-M.Barlaud-S.Tramini, I.C.I.P, IEEE, Chicago, USA, oct 1998.

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  16. Image sequence restoration : A PDE based coupled method for image restoration and motion segmentation. G. Aubert- R.Deriche- P. Kornprobst, European Conference in Computer Vision, Fre iburg, Allemagne, 1998, Lectures Notes in Computer Sciences 1407, T2, Springer Verlag.

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  17. Discretization schemes for volume segmentation using a level set approach. G.Aubert-M.Barlaud-E. Debreuve-J. Darcourt, Workshop IMDSP 1998, Alpach, Austria.

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  18. Simultaneous image classification and restoration using variational approach. G. Aubert, L. Blanc-Féraud, Ch. Samson, J. Zérubia, Proceedings IEEE Comp. Vision. Pattern. Reco gn, 1999, Fort Collins, Colorado, USA.

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  19. Multiphase motion and images classification. G. Aubert, L. Blanc-Féraud, Ch. Samson, J. Zérubia, Second Conference on Scale Space Theories inn Computer Vision, Geometric flow s, Nonlinear diffusion, Functional minimization, Corfu, Grece, sept 1999, Lecture Notes in Computer Vision, 1682 , Springer Verlag.

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  20. Optimal joint decoding / Deblurring method for optical images. G. Aubert, M. Antonini, M. Barlaud , S. Tramini, Proceedings I.C.I.P, IEEE, Kobe, Japon, 1999.

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  21. Inward and Outward curve evolution using level set method. G. Aubert, O. Amadieu, M. Barlaud, E. Debreuve, Proceedings I.C.I.P, IEEE, Kobe, Japon, 1999.

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  22. Segmentation par contours actifs déformables. Approche bi-directionnelle. G. Aubert, O. Amadieu, M. Barlaud, E. Debreuve, Congrès Reconnaissace des Formes et Intelligence Artificielle (RFIA), Paris Fév 2000.

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  23. Une approche variationnelle pour la classification d?images par régions actives. G. Aubert, L. Blanc-Féraud, Ch. Samson, J. Zérubia, Congrès Reconnaissace des Fo mes et Intelligence Artificielle (RFIA), Paris Fév 2000.

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  24. Detection and tracking of moving objects using a new level set based method. G. Aubert, M. Barlaud, S. Jehan, Int Conf on Pattern Recognition, Barcelonne, Sept 2000.

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  25. Segmentation of moving objects using active contours. G. Aubert, M. Barlaud, S. Jehan, IEEE, Int Conf on Image Processing, Vancouver, Canada, oct 2000.

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  26. Video objects segmentation using Eulerian regions-based active contours. G.Aubert, M. Barlaud, S. Jehan, Int. Conf . Comput. Vision, British Columbia, Vancouver, July 2001.

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  27. Two variational models for multispectral image classification. G.Aubert, L.Blanc-Féraud, Ch. Samson, J.Zérubia, EMMCVR, 2001, Sophia Antipolis.

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  28. Region-based active contours for video objects segmentation with camera compensation. G.Aubert, M. Barlaud, S. Jehan, IEEE, Int Conf on Image Processing, Thessalonik, Sept 2001.

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  29. Deformable Regions driven by Eulerian Acurate Minimization Method for Image and Video Segmentation. Application to face detection in color video sequences. G.Aubert, M. Barlaud, S. Jehan, ECCV, Copenhagen, Mat 2002.

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  30. A variational approach for one dimensional phase unwrapping. G. Aubert, L. Blanc Féraud, P. Kornprobst, C. Lacombe, International Conference on Pattern Recognition, Montreal, August 2002.

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  31. Image decomposition. Application to SAR images. G. Aubert , J.F. Aujol, L. Blanc Féraud, A. Chambolle. Scale Space 03, Ile de Skye, Great Britain, Juin 2003.

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  32. Wavelet-Based level set evolution for classification of textured images. G. Aubert, J.F. Aujol , L. Blanc Féraud, International Conference on Image Processing, Barcelonne, Septembre 2003.

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  33. Region based actice contours using geometrical and statistical features for image segmentation. G.Aubert, M. Barlaud, S. Jehan, M. Gastaud. International Conference on Image Processing, Barcelonne, Septembre 2003, Special Issue on PDEs.

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  34. Filtering interferometric phase images by anisotropic diffusion. G. Aubert, L. Blanc Féraud, P. Kornprobst, C. Lacombe. , International Conference on Image Processing, Barcelonne, Septembre 2003.

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  35. Shape gradients for histogram segmentation using active contours. G.Aubert, M. Barlaud, O. Faugeras,S. Jehan, International Conference on Computer Vision, Nice, Otober 2003.

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  36. Vector field segmentation using active contours: Region of vectors with the same direction. G.Aubert, M. Barlaud, E. Debreuve, T. Roy, International Conference on Variational, Geometric and Level sets methods in Computer Vision (VLSM), Nice, October 2003.

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  37. Shape gradient for image segmentation using information theory. G.Aubert, M. Barlaud, S. Jehan, A. Herbulot, ICASSP, Montreal, 2004.

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  38. A l1-unified variational framework for image restoration. G. Aubert , J. Bect, L. Blanc Féraud, A. Chambolle, European Conference on Computer Vision, Prague, Lecture Notes in Computer Sciences 3024, IV, 2004.

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  39. Shape gradient for multi-modal image segmentation using mutual information. G.Aubert, M. Barlaud, S. Jehan, A. Herbulot, International Conference on Image Processing, Singapore, octobre 2004.

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  40. Image disocclusion using a probabilistic gradient orientation. G. Aubert, L. Blanc-Féraud, E. Villeger, ICPR 2004, Cambridge.

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  41. A region based joint motion computation and segmentation on a set of frames. G.Aubert, M. Barlaud, E. Debreuve, M. Gastaud, Wiamis, 2005.

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  42. Statistical region-based active contour with exponential family observations. G. Aubert, S. Jehan-Besson, J. Fadili, F. Lecellier, M. Revenu, ICASSP. Toulouse, 2006.

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  43. Region-based active contour with noise and shape prior. G. Aubert, S. Jehan-Besson, J. Fadili, F. Lecellier, M. Revenu, E. Saloux, ICIP 2006, Atlanta.

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  44. Active contour with a parametric shape prior: link with the shape gradient. G.Aubert, M. Barlaud, E. Debreuve, M. Gastaud, ICIP 2006, Atlanta.