François-Xavier Dupé

According to our database, François-Xavier Dupé authored at least 24 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Population-wise Labeling of Sulcal Graphs using Multi-graph Matching.

Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias

CoRR, 2023

2022

On The Relevance of Multi-Graph Matching for Sulcal Graphs.

Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Kernelized multi-graph matching.

François-Xavier Dupé, Rohit Yadav, Guillaume Auzias, Sylvain Takerkart

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Labelling Sulcal Graphs Across Indiviuals Using Multigraph Matching.

Nathan Buskulic, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Mapping individual differences in cortical architecture using multi-view representation learning.

Akrem Sellami, François-Xavier Dupé, Bastien Cagna, Hachem Kadri, Stéphane Ayache, Thierry Artières, Sylvain Takerkart

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2017

Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels.

Sylvain Takerkart, Gottfried Berton, Nicole Malfait, François-Xavier Dupé

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

2014

Generalized subspace pursuit and an application to sparse poisson denoising.

François-Xavier Dupé, Sandrine Anthoine

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

A greedy approach to sparse poisson denoising.

François-Xavier Dupé, Sandrine Anthoine

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

The Multi-Task Learning View of Multimodal Data.

Hachem Kadri, Stéphane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Shape Similarity Based on a Treelet Kernel with Edition.

Sébastien Bougleux, François-Xavier Dupé, Luc Brun, Myriam Mokhtari

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Shape similarity based on combinatorial maps and a tree pattern kernel.

Sébastien Bougleux, François-Xavier Dupé, Luc Brun, Benoit Gaüzère, Myriam Mokhtari

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Linear inverse problems with various noise models and mixed regularizations.

François-Xavier Dupé, Jalal Fadili, Jean-Luc Starck

Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011

Inverse problems with poisson noise: Primal and primal-dual splitting.

François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Data augmentation for galaxy density map reconstruction.

François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

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).

François-Xavier Dupé

PhD thesis, 2010

Object classification based on graph kernels.

Amal Mahboubi, Luc Brun, François-Xavier Dupé

Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010

Kernel-Based Implicit Regularization of Structured Objects.

François-Xavier Dupé, Sébastien Bougleux, Luc Brun, Olivier Lezoray, Abderrahim Elmoataz

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

A Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations.

François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck

IEEE Trans. Image Process., 2009

Tree Covering within a Graph Kernel Framework for Shape Classification.

François-Xavier Dupé, Luc Brun

Proceedings of the Image Analysis and Processing, 2009

Edition within a Graph Kernel Framework for Shape Recognition.

François-Xavier Dupé, Luc Brun

Proceedings of the Graph-Based Representations in Pattern Recognition, 2009

Shape Classification Using a Flexible Graph Kernel.

François-Xavier Dupé, Luc Brun

Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008

Hierarchical Bag of Paths for Kernel Based Shape Classification.

François-Xavier Dupé, Luc Brun

Proceedings of the Structural, 2008

Deconvolution of confocal microscopy images using proximal iteration and sparse representations.

François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration.

François-Xavier Dupé, Mohamed-Jalal Fadili, Jean-Luc Starck

Proceedings of the IEEE International Conference on Acoustics, 2008