Agnès Desolneux

61 papers A* 1B 2C 1Misc 2Journal 41Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance. Trans. Mach. Learn. Res. Vladimir Petrovic, Rémi Bardenet, Agnès Desolneux
2025	J	`jnl`	Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application. CoRR Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Agnès Desolneux, Mathilde Mougeot
2025	J	`jnl`	Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport. CoRR Samuel Boïté, Eloi Tanguy, Julie Delon, Agnès Desolneux, Rémi Flamary
2025	J	`jnl`	Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance. CoRR Vladimir Petrovic, Rémi Bardenet, Agnès Desolneux
2024	J	`jnl`	BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning. CoRR Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Mathilde Mougeot, Agnès Desolneux
2024	—	`conf`	Contrastive Learning: An Efficient Domain Adaptation Strategy for 2D Mammography Image Classification. ISBI Gonzalo Iñaki Quintana, Vincent Jugnon, Laurence Vancamberg, Agnès Desolneux, Mathilde Mougeot
2024	J	`jnl`	Gromov-Wasserstein-like Distances in the Gaussian Mixture Models Space. Trans. Mach. Learn. Res. Antoine Salmona, Agnès Desolneux, Julie Delon
2023	J	`jnl`	A 3D Mathematical Breast Texture Model With Parameters Automatically Inferred From Clinical Breast CT Images. IEEE Trans. Medical Imaging Zhijin Li, Ann-Katherine Carton, Serge Muller, Thomas Almecija, Pablo Milioni de Carvalho, Agnès Desolneux
2023	J	`jnl`	Gromov-Wassertein-like Distances in the Gaussian Mixture Models Space. CoRR Antoine Salmona, Julie Delon, Agnès Desolneux
2023	—	`conf`	Optimal Transport Between GMM for Multiscale Texture Synthesis. SSVM Julie Delon, Agnès Desolneux, Laurent Facq, Arthur Leclaire
2022	A*	`conf`	Can Push-forward Generative Models Fit Multimodal Distributions? NeurIPS Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux
2022	J	`jnl`	Can Push-forward Generative Models Fit Multimodal Distributions? CoRR Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux
2022	J	`jnl`	Gromov-Wasserstein distances between Gaussian distributions. J. Appl. Probab. Julie Delon, Agnès Desolneux, Antoine Salmona
2022	—	`conf`	Unidentified Floating Object Detection in Maritime Environment. VISIGRAPP (5: VISAPP) Darshan Venkatrayappa, Agnès Desolneux, Jean-Michel Hubert, Josselin Manceau
2021	J	`jnl`	Determinantal Point Processes for Image Processing. SIAM J. Imaging Sci. Claire Launay, Agnès Desolneux, Bruno Galerne
2021	J	`jnl`	Maximum Entropy Methods for Texture Synthesis: Theory and Practice. SIAM J. Math. Data Sci. Valentin De Bortoli, Agnès Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire
2021	J	`jnl`	On quantitative Laplace-type convergence results for some exponential probability measures, with two applications. CoRR Valentin De Bortoli, Agnès Desolneux
2020	J	`jnl`	A Wasserstein-Type Distance in the Space of Gaussian Mixture Models. SIAM J. Imaging Sci. Julie Delon, Agnès Desolneux
2020	J	`jnl`	Exact sampling of determinantal point processes without eigendecomposition. J. Appl. Probab. Claire Launay, Bruno Galerne, Agnès Desolneux
2020	J	`jnl`	Unidentified Floating Object detection in maritime environment using dictionary learning. CoRR Darshan Venkatrayappa, Agnès Desolneux, Jean-Michel Hubert, Josselin Manceau
2019	B	`conf`	Detection of Small Anomalies on Moving Background. ICIP Axel Davy, Agnès Desolneux, Jean-Michel Morel
2019	—	`conf`	Macrocanonical Models for Texture Synthesis. SSVM Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire
2019	J	`jnl`	Macrocanonical Models for Texture Synthesis. CoRR Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire
2019	J	`jnl`	Maximum entropy methods for texture synthesis: theory and practice. CoRR Valentin De Bortoli, Agnès Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire
2019	J	`jnl`	Patch Redundancy in Images: A Statistical Testing Framework and Some Applications. SIAM J. Imaging Sci. Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire
2019	J	`jnl`	Patch redundancy in images: a statistical testing framework and some applications. CoRR Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire
2019	J	`jnl`	RNLp: Mixing Nonlocal and TV-Lp Methods to Remove Impulse Noise from Images. J. Math. Imaging Vis. Julie Delon, Agnès Desolneux, Camille Sutour, Agathe Viano
2018	—	`conf`	Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial. Image Perception, Observer Performance, and Technology Assessment Zhijin Li, Agnès Desolneux, Serge Muller, Pablo Milioni de Carvalho, Ann-Katherine Carton
2018	J	`jnl`	Stochastic Image Models from SIFT-Like Descriptors. SIAM J. Imaging Sci. Agnès Desolneux, Arthur Leclaire
2017	J	`jnl`	A survey of exemplar-based texture synthesis. CoRR Lara Raad, Axel Davy, Agnès Desolneux, Jean-Michel Morel
2017	—	`conf`	Stochastic Image Reconstruction from Local Histograms of Gradient Orientation. SSVM Agnès Desolneux, Arthur Leclaire
2016	J	`jnl`	A Conditional Multiscale Locally Gaussian Texture Synthesis Algorithm. J. Math. Imaging Vis. Lara Raad, Agnès Desolneux, Jean-Michel Morel
2016	—	`conf`	A Novel 3D Stochastic Solid Breast Texture Model for X-Ray Breast Imaging. Digital Mammography / IWDM Zhijin Li, Agnès Desolneux, Serge Muller, Ann-Katherine Carton
2016	J	`jnl`	An Anisotropic A Contrario Framework for the Detection of Convergences in Images. J. Math. Imaging Vis. Agnès Desolneux, Fanny Doré
2016	J	`jnl`	PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images. Image Process. Line Julie Delon, Agnès Desolneux, Thierry Guillemot
2016	J	`jnl`	When the a contrario approach becomes generative. Int. J. Comput. Vis. Agnès Desolneux
2015	—	`conf`	Conditional Gaussian Models for Texture Synthesis. SSVM Lara Raad, Agnès Desolneux, Jean-Michel Morel
2015	C	`conf`	Multiscale Exemplar Based Texture Synthesis by Locally Gaussian Models. CIARP Lara Raad, Agnès Desolneux, Jean-Michel Morel
2014	B	`conf`	Locally Gaussian exemplar based texture synthesis. ICIP Lara Raad, Agnès Desolneux, Jean-Michel Morel
2013	J	`jnl`	A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise. SIAM J. Imaging Sci. Julie Delon, Agnès Desolneux
2012	J	`jnl`	A Fourier Approach for the Level Crossings of Shot Noise Processes with Jumps. J. Appl. Probab. Hermine Biermé, Agnès Desolneux
2012	Misc	`conf`	A compact representation of random phase and Gaussian textures. ICASSP Agnès Desolneux, Lionel Moisan, Samuel Ronsin
2012	Misc	`conf`	A patch-based approach for random-valued impulse noise removal. ICASSP Julie Delon, Agnès Desolneux
2012	J	`jnl`	Bayesian Technique for Image Classifying Registration. IEEE Trans. Image Process. Mohammed Hachama, Agnès Desolneux, Frédéric J. P. Richard
2011	—	`conf`	A Probabilistic Grouping Principle to Go from Pixels to Visual Structures. DGCI Agnès Desolneux
2010	J	`jnl`	A classifying registration technique for the estimation of enhancement curves of DCE-CT scan sequences. Medical Image Anal. Mohammed Hachama, Agnès Desolneux, Charles-André Cuenod, Frédéric J. P. Richard
2010	J	`jnl`	Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction. SIAM J. Imaging Sci. Julie Delon, Agnès Desolneux
2007	J	`jnl`	A Nonparametric Approach for Histogram Segmentation. IEEE Trans. Image Process. Julie Delon, Agnès Desolneux, Jose Luis Lisani, Ana Belén Petro
2007	J	`jnl`	A Unified Framework for Detecting Groups and Application to Shape Recognition. J. Math. Imaging Vis. Frédéric Cao, Julie Delon, Agnès Desolneux, Pablo Musé, Frédéric Sur
2007	J	`jnl`	Significant edges in the case of non-stationary Gaussian noise. Pattern Recognit. Isabelle Abraham, Romain Abraham, Agnès Desolneux, S. Li-Thiao-Te
2006	—	`conf`	A Probabilistic Approach for the Simultaneous Mammogram Registration and Abnormality Detection. Digital Mammography / IWDM Mohammed Hachama, Agnès Desolneux, Frédéric J. P. Richard
2006	—	`conf`	A mammogram registration technique dealing with outliers. ISBI Mohammed Hachama, Frédéric J. P. Richard, Agnès Desolneux
2006	—	`conf`	Combining Registration and Abnormality Detection in Mammography. WBIR Mohammed Hachama, Agnès Desolneux, Frédéric J. P. Richard
2005	—	`conf`	Automatic color palette. ICIP (2) Julie Delon, Agnès Desolneux, Jose Luis Lisani, Ana Belén Petro
2005	—	`conf`	Color Image Segmentation Using Acceptable Histogram Segmentation. IbPRIA (2) Julie Delon, Agnès Desolneux, Jose Luis Lisani, Ana Belén Petro
2005	J	`jnl`	Image Denoising by Statistical Area Thresholding. J. Math. Imaging Vis. David Coupier, Agnès Desolneux, Bernard Ycart
2003	J	`jnl`	A Grouping Principle and Four Applications. IEEE Trans. Pattern Anal. Mach. Intell. Agnès Desolneux, Lionel Moisan, Jean-Michel Morel
2003	J	`jnl`	Vanishing Point Detection without Any A Priori Information. IEEE Trans. Pattern Anal. Mach. Intell. Andrés Almansa, Agnès Desolneux, Sébastien Vamech
2002	J	`jnl`	Dequantizing image orientation. IEEE Trans. Image Process. Agnès Desolneux, Saïd Ladjal, Lionel Moisan, Jean-Michel Morel
2001	J	`jnl`	Edge Detection by Helmholtz Principle. J. Math. Imaging Vis. Agnès Desolneux, Lionel Moisan, Jean-Michel Morel
2000	J	`jnl`	Meaningful Alignments. Int. J. Comput. Vis. Agnès Desolneux, Lionel Moisan, Jean-Michel Morel