Image deconvolution under poisson noise using sparse representations and proximal thresholding iteration. - François-Xavier Dupé; Mohamed-Jalal Fadili; Jean-Luc Starck (ICASSP, 2008)

Deconvolution of confocal microscopy images using proximal iteration and sparse representations. - François-Xavier Dupé; Mohamed-Jalal Fadili; Jean-Luc Starck (ISBI, 2008)

Hierarchical Bag of Paths for Kernel Based Shape Classification. - François-Xavier Dupé; Luc Brun (SSPR/SPR, 2008)

Shape Classification Using a Flexible Graph Kernel. - François-Xavier Dupé; Luc Brun (CAIP, 2009)

Edition within a Graph Kernel Framework for Shape Recognition. - François-Xavier Dupé; Luc Brun (GbRPR, 2009)

Tree Covering within a Graph Kernel Framework for Shape Classification. - François-Xavier Dupé; Luc Brun (ICIAP, 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)

Kernel-Based Implicit Regularization of Structured Objects. - François-Xavier Dupé; Sébastien Bougleux; Luc Brun; Olivier Lezoray; Abderrahim Elmoataz (ICPR, 2010)

Object classification based on graph kernels. - Amal Mahboubi; Luc Brun; François-Xavier Dupé (HPCS, 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 (2010)

Data augmentation for galaxy density map reconstruction. - François-Xavier Dupé; Mohamed-Jalal Fadili; Jean-Luc Starck (ICIP, 2011)

Inverse problems with poisson noise: Primal and primal-dual splitting. - François-Xavier Dupé; Mohamed-Jalal Fadili; Jean-Luc Starck (ICIP, 2011)

Linear inverse problems with various noise models and mixed regularizations. - François-Xavier Dupé; Jalal Fadili; Jean-Luc Starck (VALUETOOLS, 2011)

Shape similarity based on combinatorial maps and a tree pattern kernel. - Sébastien Bougleux; François-Xavier Dupé; Luc Brun; Benoit Gaüzère; Myriam Mokhtari (ICPR, 2012)

Shape Similarity Based on a Treelet Kernel with Edition. - Sébastien Bougleux; François-Xavier Dupé; Luc Brun; Myriam Mokhtari (SSPR/SPR, 2012)

The Multi-Task Learning View of Multimodal Data. - Hachem Kadri; Stéphane Ayache; Cécile Capponi; Sokol Koço; François-Xavier Dupé; Emilie Morvant (ACML, 2013)

A greedy approach to sparse poisson denoising. - François-Xavier Dupé; Sandrine Anthoine (MLSP, 2013)

Generalized subspace pursuit and an application to sparse poisson denoising. - François-Xavier Dupé; Sandrine Anthoine (ICIP, 2014)

Learning from Diffusion-Weighted Magnetic Resonance Images Using Graph Kernels. - Sylvain Takerkart; Gottfried Berton; Nicole Malfait; François-Xavier Dupé (GbRPR, 2017)

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 (IJCNN, 2020)

Labelling Sulcal Graphs Across Indiviuals Using Multigraph Matching. - Nathan Buskulic; François-Xavier Dupé; Sylvain Takerkart; Guillaume Auzias (ISBI, 2021)

Kernelized multi-graph matching. - François-Xavier Dupé; Rohit Yadav; Guillaume Auzias; Sylvain Takerkart (ACML, 2022)

On The Relevance of Multi-Graph Matching for Sulcal Graphs. - Rohit Yadav; François-Xavier Dupé; Sylvain Takerkart; Guillaume Auzias (ICIP, 2022)

Population-wise Labeling of Sulcal Graphs using Multi-graph Matching. - Rohit Yadav; François-Xavier Dupé; Sylvain Takerkart; Guillaume Auzias (CoRR, 2023)

Geometric Deep Learning for Sulcal Graphs. - Rohit Yadav; François-Xavier Dupé; Sylvain Takerkart; Guillaume Auzias (ISBI, 2024)