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Agnès Desolneux
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2020 – today
- 2024
- [c20]Gonzalo Iñaki Quintana, Vincent Jugnon, Laurence Vancamberg, Agnès Desolneux, Mathilde Mougeot:
Contrastive Learning: An Efficient Domain Adaptation Strategy for 2D Mammography Image Classification. ISBI 2024: 1-5 - [i9]Gonzalo Iñaki Quintana, Laurence Vancamberg, Vincent Jugnon, Mathilde Mougeot, Agnès Desolneux:
BN-SCAFFOLD: controlling the drift of Batch Normalization statistics in Federated Learning. CoRR abs/2410.03281 (2024) - 2023
- [j27]Zhijin Li, Ann-Katherine Carton, Serge Muller, Thomas Almecija, Pablo Milioni de Carvalho, Agnès Desolneux:
A 3D Mathematical Breast Texture Model With Parameters Automatically Inferred From Clinical Breast CT Images. IEEE Trans. Medical Imaging 42(4): 1107-1120 (2023) - [c19]Julie Delon, Agnès Desolneux, Laurent Facq, Arthur Leclaire:
Optimal Transport Between GMM for Multiscale Texture Synthesis. SSVM 2023: 627-638 - [i8]Antoine Salmona, Julie Delon, Agnès Desolneux:
Gromov-Wassertein-like Distances in the Gaussian Mixture Models Space. CoRR abs/2310.11256 (2023) - 2022
- [j26]Julie Delon, Agnès Desolneux, Antoine Salmona:
Gromov-Wasserstein distances between Gaussian distributions. J. Appl. Probab. 59(4): 1178-1198 (2022) - [c18]Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux:
Can Push-forward Generative Models Fit Multimodal Distributions? NeurIPS 2022 - [c17]Darshan Venkatrayappa, Agnès Desolneux, Jean-Michel Hubert, Josselin Manceau:
Unidentified Floating Object Detection in Maritime Environment. VISIGRAPP (5: VISAPP) 2022: 65-74 - [i7]Antoine Salmona, Valentin De Bortoli, Julie Delon, Agnès Desolneux:
Can Push-forward Generative Models Fit Multimodal Distributions? CoRR abs/2206.14476 (2022) - 2021
- [j25]Claire Launay, Agnès Desolneux, Bruno Galerne:
Determinantal Point Processes for Image Processing. SIAM J. Imaging Sci. 14(1): 304-348 (2021) - [j24]Valentin De Bortoli, Agnès Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire:
Maximum Entropy Methods for Texture Synthesis: Theory and Practice. SIAM J. Math. Data Sci. 3(1): 52-82 (2021) - [i6]Valentin De Bortoli, Agnès Desolneux:
On quantitative Laplace-type convergence results for some exponential probability measures, with two applications. CoRR abs/2110.12922 (2021) - 2020
- [j23]Claire Launay, Bruno Galerne, Agnès Desolneux:
Exact sampling of determinantal point processes without eigendecomposition. J. Appl. Probab. 57(4): 1198-1221 (2020) - [j22]Julie Delon, Agnès Desolneux:
A Wasserstein-Type Distance in the Space of Gaussian Mixture Models. SIAM J. Imaging Sci. 13(2): 936-970 (2020) - [i5]Darshan Venkatrayappa, Agnès Desolneux, Jean-Michel Hubert, Josselin Manceau:
Unidentified Floating Object detection in maritime environment using dictionary learning. CoRR abs/2007.15757 (2020)
2010 – 2019
- 2019
- [j21]Julie Delon, Agnès Desolneux, Camille Sutour, Agathe Viano:
RNLp: Mixing Nonlocal and TV-Lp Methods to Remove Impulse Noise from Images. J. Math. Imaging Vis. 61(4): 458-481 (2019) - [j20]Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Patch Redundancy in Images: A Statistical Testing Framework and Some Applications. SIAM J. Imaging Sci. 12(2): 893-926 (2019) - [c16]Axel Davy, Agnès Desolneux, Jean-Michel Morel:
Detection of Small Anomalies on Moving Background. ICIP 2019: 2015-2019 - [c15]Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Macrocanonical Models for Texture Synthesis. SSVM 2019: 13-24 - [i4]Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Macrocanonical Models for Texture Synthesis. CoRR abs/1904.06396 (2019) - [i3]Valentin De Bortoli, Agnès Desolneux, Bruno Galerne, Arthur Leclaire:
Patch redundancy in images: a statistical testing framework and some applications. CoRR abs/1904.06428 (2019) - [i2]Valentin De Bortoli, Agnès Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire:
Maximum entropy methods for texture synthesis: theory and practice. CoRR abs/1912.01691 (2019) - 2018
- [j19]Agnès Desolneux, Arthur Leclaire:
Stochastic Image Models from SIFT-Like Descriptors. SIAM J. Imaging Sci. 11(4): 2305-2338 (2018) - [c14]Zhijin Li, Agnès Desolneux, Serge Muller, Pablo Milioni de Carvalho, Ann-Katherine Carton:
Comparison of microcalcification detectability in FFDM and DBT using a virtual clinical trial. Image Perception, Observer Performance, and Technology Assessment 2018: 105770D - 2017
- [c13]Agnès Desolneux, Arthur Leclaire:
Stochastic Image Reconstruction from Local Histograms of Gradient Orientation. SSVM 2017: 133-145 - [i1]Lara Raad, Axel Davy, Agnès Desolneux, Jean-Michel Morel:
A survey of exemplar-based texture synthesis. CoRR abs/1707.07184 (2017) - 2016
- [j18]Agnès Desolneux:
When the a contrario approach becomes generative. Int. J. Comput. Vis. 116(1): 46-65 (2016) - [j17]Julie Delon, Agnès Desolneux, Thierry Guillemot:
PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images. Image Process. Line 6: 130-154 (2016) - [j16]Agnès Desolneux, Fanny Doré:
An Anisotropic A Contrario Framework for the Detection of Convergences in Images. J. Math. Imaging Vis. 56(1): 32-56 (2016) - [j15]Lara Raad, Agnès Desolneux, Jean-Michel Morel:
A Conditional Multiscale Locally Gaussian Texture Synthesis Algorithm. J. Math. Imaging Vis. 56(2): 260-279 (2016) - [c12]Zhijin Li, Agnès Desolneux, Serge Muller, Ann-Katherine Carton:
A Novel 3D Stochastic Solid Breast Texture Model for X-Ray Breast Imaging. Digital Mammography / IWDM 2016: 660-667 - 2015
- [c11]Lara Raad, Agnès Desolneux, Jean-Michel Morel:
Multiscale Exemplar Based Texture Synthesis by Locally Gaussian Models. CIARP 2015: 435-443 - [c10]Lara Raad, Agnès Desolneux, Jean-Michel Morel:
Conditional Gaussian Models for Texture Synthesis. SSVM 2015: 474-485 - 2014
- [c9]Lara Raad, Agnès Desolneux, Jean-Michel Morel:
Locally Gaussian exemplar based texture synthesis. ICIP 2014: 4667-4671 - 2013
- [j14]Julie Delon, Agnès Desolneux:
A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise. SIAM J. Imaging Sci. 6(2): 1140-1174 (2013) - 2012
- [j13]Hermine Biermé, Agnès Desolneux:
A Fourier Approach for the Level Crossings of Shot Noise Processes with Jumps. J. Appl. Probab. 49(1): 100-113 (2012) - [j12]Mohamed Hachama, Agnès Desolneux, Frédéric J. P. Richard:
Bayesian Technique for Image Classifying Registration. IEEE Trans. Image Process. 21(9): 4080-4091 (2012) - [c8]Julie Delon, Agnès Desolneux:
A patch-based approach for random-valued impulse noise removal. ICASSP 2012: 1093-1096 - [c7]Agnès Desolneux, Lionel Moisan, Samuel Ronsin:
A compact representation of random phase and Gaussian textures. ICASSP 2012: 1381-1384 - 2011
- [c6]Agnès Desolneux:
A Probabilistic Grouping Principle to Go from Pixels to Visual Structures. DGCI 2011: 1-12 - 2010
- [j11]Mohamed Hachama, Agnès Desolneux, Charles-André Cuenod, Frédéric J. P. Richard:
A classifying registration technique for the estimation of enhancement curves of DCE-CT scan sequences. Medical Image Anal. 14(2): 185-194 (2010) - [j10]Julie Delon, Agnès Desolneux:
Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction. SIAM J. Imaging Sci. 3(4): 703-734 (2010)
2000 – 2009
- 2007
- [j9]Frédéric Cao, Julie Delon, Agnès Desolneux, Pablo Musé, Frédéric Sur:
A Unified Framework for Detecting Groups and Application to Shape Recognition. J. Math. Imaging Vis. 27(2): 91-119 (2007) - [j8]Isabelle Abraham, Romain Abraham, Agnès Desolneux, S. Li-Thiao-Te:
Significant edges in the case of non-stationary Gaussian noise. Pattern Recognit. 40(11): 3277-3291 (2007) - [j7]Julie Delon, Agnès Desolneux, Jose Luis Lisani, Ana Belén Petro:
A Nonparametric Approach for Histogram Segmentation. IEEE Trans. Image Process. 16(1): 253-261 (2007) - 2006
- [c5]Mohamed Hachama, Frédéric J. P. Richard, Agnès Desolneux:
A mammogram registration technique dealing with outliers. ISBI 2006: 458-461 - [c4]Mohamed Hachama, Agnès Desolneux, Frédéric J. P. Richard:
A Probabilistic Approach for the Simultaneous Mammogram Registration and Abnormality Detection. Digital Mammography / IWDM 2006: 205-212 - [c3]Mohamed Hachama, Agnès Desolneux, Frédéric J. P. Richard:
Combining Registration and Abnormality Detection in Mammography. WBIR 2006: 178-185 - 2005
- [j6]David Coupier, Agnès Desolneux, Bernard Ycart:
Image Denoising by Statistical Area Thresholding. J. Math. Imaging Vis. 22(2-3): 183-197 (2005) - [c2]Julie Delon, Agnès Desolneux, Jose Luis Lisani, Ana Belén Petro:
Color Image Segmentation Using Acceptable Histogram Segmentation. IbPRIA (2) 2005: 239-246 - [c1]Julie Delon, Agnès Desolneux, Jose Luis Lisani, Ana Belén Petro:
Automatic color palette. ICIP (2) 2005: 706-709 - 2003
- [j5]Andrés Almansa, Agnès Desolneux, Sébastien Vamech:
Vanishing Point Detection without Any A Priori Information. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 502-507 (2003) - [j4]Agnès Desolneux, Lionel Moisan, Jean-Michel Morel:
A Grouping Principle and Four Applications. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 508-513 (2003) - 2002
- [j3]Agnès Desolneux, Saïd Ladjal, Lionel Moisan, Jean-Michel Morel:
Dequantizing image orientation. IEEE Trans. Image Process. 11(10): 1129-1140 (2002) - 2001
- [j2]Agnès Desolneux, Lionel Moisan, Jean-Michel Morel:
Edge Detection by Helmholtz Principle. J. Math. Imaging Vis. 14(3): 271-284 (2001) - 2000
- [j1]Agnès Desolneux, Lionel Moisan, Jean-Michel Morel:
Meaningful Alignments. Int. J. Comput. Vis. 40(1): 7-23 (2000)
Coauthor Index
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last updated on 2024-11-28 20:30 CET by the dblp team
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