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ORCIDFrançois-Xavier Dupé
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2020 – today
- 2024
[c22]Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias:
Geometric Deep Learning for Sulcal Graphs. ISBI 2024: 1-5- 2023
- [i4]Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias:
Population-wise Labeling of Sulcal Graphs using Multi-graph Matching. CoRR abs/2301.13532 (2023) - 2022
- [c21]François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart:
Kernelized multi-graph matching. ACML 2022: 311-326 - [c20]Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias:
On The Relevance of Multi-Graph Matching for Sulcal Graphs. ICIP 2022: 2536-2540 - [i3]François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart:
Kernelized multi-graph matching. CoRR abs/2210.05206 (2022) - 2021
- [c19]Nathan Buskulic, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias:
Labelling Sulcal Graphs Across Indiviuals Using Multigraph Matching. ISBI 2021: 1486-1490 - 2020
- [c18]Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart:
Mapping individual differences in cortical architecture using multi-view representation learning. IJCNN 2020: 1-8 - [i2]Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières
, Sylvain Takerkart:
Mapping individual differences in cortical architecture using multi-view representation learning. CoRR abs/2004.02804 (2020)
2010 – 2019
- 2017
- [c17]Sylvain Takerkart, Gottfried Berton, Nicole Malfait, François-Xavier Dupé:
Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels. GbRPR 2017: 39-48 - 2014
- [c16]François-Xavier Dupé, Sandrine Anthoine:
Generalized subspace pursuit and an application to sparse poisson denoising. ICIP 2014: 2824-2828 - 2013
- [c15]Hachem Kadri, Stéphane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant:
The Multi-Task Learning View of Multimodal Data. ACML 2013: 261-276 - [c14]François-Xavier Dupé, Sandrine Anthoine:
A greedy approach to sparse poisson denoising. MLSP 2013: 1-6 - 2012
- [c13]Sébastien Bougleux, François-Xavier Dupé, Luc Brun, Benoit Gaüzère, Myriam Mokhtari:
Shape similarity based on combinatorial maps and a tree pattern kernel. ICPR 2012: 1602-1605 - [c12]Sébastien Bougleux, François-Xavier Dupé, Luc Brun, Myriam Mokhtari:
Shape Similarity Based on a Treelet Kernel with Edition. SSPR/SPR 2012: 199-207 - 2011
- [c11]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
Data augmentation for galaxy density map reconstruction. ICIP 2011: 1301-1304 - [c10]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
Inverse problems with poisson noise: Primal and primal-dual splitting. ICIP 2011: 1901-1904 - [c9]François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck:
Linear inverse problems with various noise models and mixed regularizations. VALUETOOLS 2011: 621-626 - 2010
- [b1]François-Xavier Dupé:
Restauration et reconnaissance des formes dans des images avec bruit de Poisson : application à l'analyse des neurones en microscopies de fluorescence. (Restauration and shape recognition inside images with Poisson noise: application tothe analysis of neurons acquired by fluorescence microscopy). University of Caen Normandy, France, 2010 - [c8]François-Xavier Dupé, Sébastien Bougleux, Luc Brun, Olivier Lezoray, Abderrahim Elmoataz:
Kernel-Based Implicit Regularization of Structured Objects. ICPR 2010: 2142-2145 - [c7]Amal Mahboubi, Luc Brun, François-Xavier Dupé:
Object classification based on graph kernels. HPCS 2010: 385-389
2000 – 2009
- 2009
- [j1]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations. IEEE Trans. Image Process. 18(2): 310-321 (2009) - [c6]François-Xavier Dupé, Luc Brun:
Shape Classification Using a Flexible Graph Kernel. CAIP 2009: 705-713 - [c5]François-Xavier Dupé, Luc Brun:
Edition within a Graph Kernel Framework for Shape Recognition. GbRPR 2009: 11-20 - [c4]François-Xavier Dupé, Luc Brun:
Tree Covering within a Graph Kernel Framework for Shape Classification. ICIAP 2009: 278-287 - 2008
- [c3]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration. ICASSP 2008: 761-764 - [c2]François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck:
Deconvolution of confocal microscopy images using proximal iteration and sparse representations. ISBI 2008: 736-739 - [c1]François-Xavier Dupé, Luc Brun:
Hierarchical Bag of Paths for Kernel Based Shape Classification. SSPR/SPR 2008: 227-236 - [i1]François-Xavier Dupé, Luc Brun:
Hierarchical Bag of Paths for Kernel Based Shape Classification. CoRR abs/0810.3579 (2008)
Coauthor Index
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