A. Desolneux, L. Moisan and
J.-M. Morel, From
Gestalt
Theory to Image Analysis: A Probabilistic Approach ,
Springer-Verlag, collection ``Interdisciplinary Applied Mathematics'',
vol.34, 2008. D. Mumford and A. Desolneux,
Pattern Theory : the stochastic
analysis of real-world signals , A K Peters Ltd., August 2010.
(link to the website) Preprints
E. Tanguy, A. Desolneux and J. Delon, Constrained Approximate Optimal Transport Maps , 2024.
pdf file on
Arxiv
G. I. Quintana, L. Vancamberg, V. Jugnon, M. Mougeot and A. Desolneux, BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning , 2024.
pdf file on
Arxiv
G. I. Quintana, L. Vancamberg, V. Jugnon, A. Desolneux and M. Mougeot, Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application , 2025.
pdf file on
Arxiv
Accepted publications
H. Biermé and A. Desolneux, The anisotropy of 2D or 3D Gaussian random fields through their Lipschitz-Killing curvature densities , to appear in Annals of Applied Probability
, 2025.
pdf file on
HAL
A. Salmona, J. Delon and A. Desolneux, Gromov-Wassertein-like
Distances in the Gaussian Mixture Models Space , to appear in Transactions on Machine Learning Research (TMLR)
, 2024.
pdf file on
Arxiv
J. Delon, A. Desolneux, L. Facq, A. Leclaire, Optimal transport between GMM for multiscale texture synthesis , Proceedings of International Conference on Scale Space and Variational Methods in Computer Vision (SSVM)
, May, 2023.
pdf on HAL
G. Quintana, Z. Li, L. Vancamberg, M. Mougeot, A. Desolneux,
S. Muller, Exploiting Patch Sizes and Resolutions for
Multi-Scale Deep
Learning in Mammogram Image Classification , Bioengineering
, Vol. 10(5), 2023.
Arxiv link
A. Salmona, V. de Bortoli, J. Delon and A. Desolneux, Can Push-forward Generative Models Fit Multimodal Distributions? , Conference NeurIPS
, 2022.
Arxiv link
Z. Li, A.-K. Carton, S. Muller, T. Almecija, P. M. de Carvalho and
A. Desolneux, A 3D Mathematical Breast Texture Model With Parameters
Automatically Inferred From Clinical Breast CT Images, IEEE
Transactions on Medical Imaging
, vol. 42, no. 4, pp. 1107-1120, 2023.
IEEE link
V. de Bortoli and A. Desolneux, On quantitative Laplace-type
convergence results for some exponential probability measures, with
two applications, to appear in the Journal of Machine Learning Research
, 2022.
Arxiv link
A. Salmona, J. Delon and A. Desolneux, Gromov-Wasserstein
Distances between Gaussian Distributions , Journal of Applied Probability
, Vol. 59, Issue 4, pp. 1178-1198, 2022.
pdf file on
HAL
H. Biermé and A. Desolneux, The effect of discretization
on the mean geometry of a 2D random field , Annales Henri Lebesgue
, Vol. 4, pp. 1295-1345, 2021.
pdf file on
HAL
C. Launay, A. Desolneux and B. Galerne, Determinantal Point Processes
for Image Processing ,
SIAM Journal on Imaging Sciences
, Vol. 14, No. 1, pp. 304-348, 2021.
pdf file on
HAL
V. De Bortoli, A. Desolneux, A. Durmus, B. Galerne and A. Leclaire,
Maximum entropy methods for texture synthesis: theory and practice , SIAM Journal on Mathematics of Data Science (SIMODS)
, Vol. 3, No. 1, pp. 52-82, 2021 pdf file on arXiv
C. Launay, B. Galerne and A. Desolneux, Exact Sampling of
Determinantal Point Processes without Eigendecomposition ,
Journal of Applied Probability
, Vol. 57, No. 4, pp. 1198-1221, 2020. pdf file on
HAL , link to journal
J. Delon and A. Desolneux, A Wasserstein-type distance in the space
of Gaussian Mixture Models ,
SIAM Journal on Imaging Sciences
, Vol. 13(2), pp. 936-970, 2020. pdf file on
HAL , or on arXiv:1907.05254 .
Code on Github.
V. De Bortoli, A. Desolneux, B. Galerne and A. Leclaire,
Redundancy in Gaussian random fields ,
ESAIM: Probability and Statistics
, Vol. 24, pp. 627-660, 2020. pdf file
H. Biermé and A. Desolneux, Mean geometry for 2D random
fields: level perimeter and level total curvature integrals ,
the Annals of Applied Probability
, Vol. 30, No. 2, pp. 561-607, 2020. pdf file
V. De Bortoli, A. Desolneux, B. Galerne and A. Leclaire, Patch
redundancy in images: a statistical testing framework and some
applications ,
SIAM Journal on Imaging Sciences
, Vol.12(2), pp. 893-926, 2019. pdf file
J. Delon, A. Desolneux, C. Sutour and A. Viano, RNLp: Mixing
Non-Local and TV-Lp methods to remove impulse noise from images , Journal of Mathematical Imaging and Vision
, Vol. 61(4), pp. 458-481, 2019. pdf file
A. Desolneux and A. Leclaire, Stochastic Image Models from
SIFT-like descriptors ,
SIAM Journal on Imaging Sciences
, Vol. 11(4), pp. 2305-2338, 2018. pdf file , lien HAL
, (web
site of A. Leclaire)
L. Raad, A. Davy, A. Desolneux and J.-M. Morel, A survey of
exemplar-based texture synthesis , Annals of Mathematical Sciences and Applications
, Vol. 3(1), pp. 89-148, 2018. (pdf on arXiv)
J. Delon, A. Desolneux,
T. Guillemot, PARIGI: a Patch-based Approach to Remove
Impulse-Gaussian noise from Images , Image Processing On Line , 6
(2016), pp. 130-154, 2016. link IPOL , link GITHUB
L. Raad, A. Desolneux and
J.-M. Morel, A conditional multiscale locally Gaussian texture synthesis
algorithm , Journal of Mathematical Imaging and Vision ,
Vol. 56(2), pp. 260-279, 2016. pdf file .
H.
Biermé and A. Desolneux, On the perimeter of excursion sets of
shot noise random fields , The Annals of Probability , Vol. 44(1), pp. 521-543. 2016. pdf .
A. Desolneux and F. Doré, An anisotropic a contrario framework for the
detection of convergences in images , Journal of Mathematical Imaging and Vision ,
Vol. 56(1), pp. 32-56, 2016
(pdf file).
A. Desolneux, When the a contrario
approach becomes generative , International Journal of Computer Vision ,
Vol. 116(1), pp. 46-65, 2016. pdf file .
J. Delon and A. Desolneux, A patch-based approach for removing mixed
Gaussian-impulse noise , SIAM Journal on Imaging Sciences, Vol. 6(2), pp. 1140-1174, 2013.
(preprint HAL).
M. Hachama, A. Desolneux and F. Richard, A Bayesian Technique for
Image Classifying Registration , IEEE Transactions on Image Processing , Vol. 21, Issue 9, pp. 4080-4091, 2012. ( pdf ).
H. Biermé and A. Desolneux, A Fourier Approach for the Level
Crossings of Shot Noise Processes with Jumps ,
Journal of Applied Probability , Vol. 49 (1) , pp. 100-113,
2012. ( preprint
HAL).
H. Biermé and A. Desolneux, Crossings of Smooth Shot Noise
Processes , The Annals of Applied Probability , Vol. 22, No. 6, pp. 2240-2281, 2012. ( link
HAL,
long preprint version ).
J. Delon and A. Desolneux, Stabilization of flicker-like effects in image sequences through local
contrast correction , SIAM Journal on Imaging Sciences, Vol. 3, Issue 4, pp. 703-734, 2010.
preprint
HAL , (page
de démo)
M. Hachama, A. Desolneux, C.-A Cuénod, and F. Richard, A
classifying registration technique for the estimation of enhancement
curves of DCE-CT scan sequences , Medical
Image Analysis, Volume 14, Issue 2, pp. 185-194, April 2010.
(pdf file) I. Abraham, R. Abraham, A.
Desolneux and S. Li-Thiao-Té,
Significant edges in the case of non-stationary Gaussian noise ,
Pattern Recognition, Vol. 40, Issue 11, pp. 3277-3291,
november 2007.
(pdf file) J. Delon, A. Desolneux, J-L.
Lisani and A-B. Petro,
Automatic color palette , Inverse Problems and Imaging (IPI),
Vol. 1, No. 2,
pp. 265-287, may 2007. (pdf file) J. Delon, A. Desolneux, J-L.
Lisani and A-B. Petro,
A non parametric approach for histogram segmentation , IEEE
Transactions on Image Processing, Vol. 16, No. 1, pp.
253-261, january 2007.
(pdf file) , (description of the algorithm, by J. Delon) F. Cao, J. Delon, A. Desolneux,
P. Musé and
F. Sur, A unified framework for detecting groups and application to
shape recognition , Journal of
Mathematical Imaging and Vision, Vol. 27, No. 2, pp. 91-119,
february 2007.
(pdf file) B . Sapoval, J. S. Andrade Jr,
A. Baldassari, A. Desolneux, F. Devreux, M. Filoche,
D. S. Grebenkov and S. Russ, New Simple Properties of a Few Irregular
Systems , Physica A,
357 (1), pp. 1-17, 2005.
(pdf file) A. Desolneux and B. Sapoval,
Percolation fractal exponents without fractals and a new conservation
law in
diffusion ,
Europhysics Letters , Vol. 72, No. 6,
pp. 997-1003, december 2005.
(pdf file) D. Coupier, A. Desolneux, B.
Ycart,
Image denoising by statistical area thresholding ,
Journal of Mathematical Imaging and Vision ,
Vol. 22, No. 2-3,
pp. 183-197, may 2005.
(pdf file)
,
(ref.
bibtex) A. Desolneux, L. Moisan and
J.-M. Morel, Maximal Meaningful
Events and Applications to Image Analysis , The Annals of
Statistics ,
Vol. 31, No. 6, pp.1822-1851, december 2003.
(pdf file)
,
(ref.
bibtex) A. Desolneux, L. Moisan and
J.-M. Morel, Computational
Gestalts and Perception Thresholds , Journal of Physiology -
Paris ,
Special issue on "Neurogeometry and visual perception" edited by J.
Petitot
and J. Lorenceau, Vol. 97, Issues 2-3, pp 311-322, march-may 2003.
(pdf file)
,
(ref.
bibtex) A. Desolneux, L. Moisan and
J.-M. Morel, A Grouping Principle and Four
Applications , IEEE Transactions on Pattern Analysis and
Machine Intelligence , Vol. 25, No. 4, pp.508-513, april
2003.
(pdf file)
,
(ref.
bibtex) A. Almansa, A. Desolneux and S.
Vamech, Vanishing Point Detection without Any A Priori Information
,
IEEE Transactions on Pattern Analysis and Machine Intelligence ,
Vol. 25, No. 4, pp.502-507, april 2003.
(pdf file)
,
(ref.
bibtex) A. Desolneux, S. Ladjal, L.
Moisan and J.-M. Morel,
Dequantizing Image Orientation , IEEE Transactions on Image
Processing, Vol.11(10),
pp.1129-1140, october 2002.
(pdf file)
,
(ref.
bibtex) A. Desolneux, L. Moisan and
J.-M. Morel, Edge Detection by Helmholtz
Principle , Journal of Mathematical Imaging and Vision,
Vol.14,
pp.271-284, 2001.
(pdf file)
,
(ref.
bibtex) A. Desolneux, L. Moisan and
J.-M. Morel, Meaningful Alignements ,
International Journal of Computer Vision,
Vol.40(1), pp.7-23, october
2000.
(pdf file)
,
(ref.
bibtex) Chapters in a book
A. Desolneux, Stochastic Methods for
Image Analysis,
Chapter in the book Stochastic
Geometry -
Modern Research Frontiers , edited by
David Coupier, Springer, Lecture Notes in Mathematics, CEMPI Subseries, 2019.
(Springer link).
A. Desolneux, L. Moisan and
J.-M. Morel, The Non-Accidentalness Principle for Visual Perception,
Chapter 21 in the Handbook
of Experimental Phenomenology: Visual Perception of Shape, Space and
Appearance, edited by
Liliana Albertazzi, John Wiley & Sons, 2013.
(summary).
A. Desolneux, B. Sapoval and A.
Baldassarri,
Self-Organized Percolation Power Laws with and without Fractal Geometry
in the Etching of Random Solids,
in Fractal Geometry and Applications: A Jubilee of Benoit
Mandelbrot, edited by M.L. Lapidus and M. van Frankenhuijsen,
Proc. Symposia Pure Math., vol. 72, Part 2, pp. 485-505, 2004.
(pdf file)
,
(ref. bibtex) A. Desolneux, L. Moisan and
J.-M. Morel, Gestalt
Theory and Computer Vision, chapter (pp.71-101) in the book Seeing,
Thinking and Knowing, edited by
A. Carsetti, Kluwer Academic Publishers, 2004.
(pdf file)
,
(ref.
bibtex) A. Desolneux, L. Moisan and
J.-M. Morel, Variational
Snake Theory, chapter (pp.79-99) in the book Geometric
Level Set Methods in Imaging, Vision and Graphics, edited by
S. Osher and
N. Paragios, Springer-Verlag, 2003.
(pdf file)
,
(ref.
bibtex) Conference Papers
A. Davy, A. Desolneux, and J.-M. Morel,
Detection of small anomalies on moving background ,
IEEE Conference ICIP 2019.
V. De Bortoli, A. Desolneux, B. Galerne and A. Leclaire,
Macrocanonical Models for Texture Synthesis ,
SSVM 2019
, pdf file
A. Desolneux, B. Galerne and C. Launay,
Etude de la repulsion des processus
pixelliques determinantaux, In actes du GRETSI , Nice Sophia-Antipolis, 2017. pdf file .
A. Desolneux and A. Leclaire,
Stochastic Image Reconstruction from Local Histograms
of Gradient Orientation, In Proceedings of the sixth International Conference
on Scale Space and Variational Methods in Computer Vision (SSVM) , Lecture Notes
in Computer Science, pp. 133-145, 2017.
Z. Li, A. Desolneux, S. Muller and
A.-K. Carton, A Novel 3D Stochastic Solid
Breast Texture Model for X-Ray Breast Imaging, Proceedings of the International
Workshop on Digital Mammography (IWDM) , pp. 660-667, 2016.
A. Desolneux, Z. Li, A.-K. Carton
and S. Muller, Coupes et projections de modèles 3D de
textures gaussiennes ou granulaires, actes du GRETSI, 2015. pdf file .
L. Raad, A. Desolneux and
J.-M. Morel, Locally Gaussian exemplar-based texture synthesis, ICIP
2014. pdf file .
J. Delon and A.Desolneux,
A patch-based approach for random-valued impulse noise removal, In Proceedings
of the
IEEE International Conference on Acoustics, Speech, and Signal
Processing (ICASSP) , 2012.
A.Desolneux, L. Moisan and S. Ronsin
, A Compact Representation of Random Phase and Gaussian Textures, In Proceedings
of the
IEEE International Conference on Acoustics, Speech, and Signal
Processing (ICASSP) , pp. 1381-1384, 2012.
A. Desolneux, L. Moisan, S. Ronsin, Vers un texton pour les micro-textures,
preprint MAP5 n°2011-24, actes du GRETSI, 2011
(pdf sur HAL).
M. Hachama, F. Richard, D.
Balvay, R. Thiam, A.Desolneux
and C. A. Cuenod, Recalage classifiant de séquences
d'images de perfusion, In Proceedings
of 3èmes Journées d'Etudes
Algéro-Françaises en Imagerie Médicale,
JETIM 2008.
M. Hachama, F. Richard and A.
Desolneux, Combiner le recalage des images et la
détection des
lésions en mammographies, In Proceedings of 2èmes
Journées d'Etudes
Algéro-Françaises en Imagerie Médicale,
JETIM 2006.M. Hachama, A. Desolneux and F.
Richard, Combining
registration and abnormality detection in mammography, In
Proceedings of the 2nd Workshop on Biomedical Image registration,
WBIR'06 , Lecture Notes in Computer Science, Springer, vol.
4057, pp.178-185, Utrecht, Netherland, 2006. (fichier
pdf) M. Hachama, A. Desolneux and F.
Richard, A
probabilistic approach for the simultaneous mammogram registration and
abnormality detection, In Proceedings of the International
Workshop on Digital Mammography, IWDM'06, Lecture Notes in
Computer Science, Springer, vol. 4046 , pp.205-212, Manchester, UK,
2006. (fichier
pdf) M. Hachama, F. Richard and A.
Desolneux, A mammogram
registration technique dealing with outliers, Proceedings of
the IEEE International Symposium on Biomedical Imaging, ISBI'06
, Arlington, Virginia, USA, pp.458-461, april 2006. (fichier
pdf) J. Delon, A. Desolneux, J.L.
Lisani and A.B. Petro, Automatic Color Palette, IEEE
International Conference on Image Processing
(ICIP-05), Genova, September 11-14, 2005.
(fichier
pdf) J. Delon, A. Desolneux, J.L.
Lisani and A.B. Petro,
Color Image Segmentation using Optimal Separators of a Histogram, Proceedings
of Pattern Recognition
and Image Analysis: Second Iberian Conference, IbPRIA 2005,
Lecture Notes in
Computer Science, Springer, vol. 3523, Part II, pp.239-256, Estoril,
Portugal, June 2005.
(pdf file) J. Delon, A. Desolneux, J.L.
Lisani and A.B. Petro, Color Image Segmentation using Optimal
Separators of a Histogram,
Visualization, Imaging, and Image Processing (Marbella, Espagne,
Septembre
2004), VIIP 2004 Proceedings.
J. Delon, A. Desolneux, J.L.
Lisani and A.B. Petro, Histogram analysis and its applications to fast
camera stabilization,
11th International Conference on Signals and Electronic Systems
(Poznan,
Pologne Septembre 2004), IWSSIP 2004 Proceedings.
D. Coupier, A. Desolneux, B.
Ycart,
A Zero-One law for first order logic on random images.
in "Mathematics and Computer Science III", M. Drmota et al. Eds.,
Birkhäuser,
Basel, pp. 495-505, 2004.
(pdf file)
,
(ref.
bibtex) Thèses
A. Desolneux,
"Evénements significatifs et
applications à l'analyse d'images", thèse de
doctorat en mathématiques appliquées, soutenue le
8 décembre 2000 à l'ENS Cachan.
A. Desolneux,
"Modélisation et propriétés de quelques approches stochastiques des images", Habilitation à diriger des recherches, spécialité : mathématiques appliquées, soutenue le 24 septembre 2010 à l'université Paris Descartes. Autres
A. Desolneux, L. Moisan and
J.-M. Morel, Automatic
image analysis: a challenge for computer vision, actes du
GRETSI'01 , Toulouse, septembre
2001.
(pdf file)
,
(ref.
bibtex) A. Desolneux,
Evénements significatifs et applications à
l'analyse d'images'', actes des XXXIIIèmes
Journées francaises de Statistique p.308-310,
Nantes, 14-18 mai 2001. J. Delon et A. Desolneux, Réduction du papillonnage
dans les films, Actes des Colloques MAPMO, Presses Universitaires
d'Orléans, vol.1, 2008.
J. Delon et A. Desolneux, Un problème de restauration
des vieux films : la correction du flicker, MATAPLI, No.88, février 2009.