
François ORIEUX
Maître de Conférence de l'Université Paris-Saclay
francois.orieux@l2s.centralesupelec.fr
L2S, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France
Multispectral and Hyperspectral Image Fusion with Spectrally Varying Blurs and Majorize-Minimize Algorithm
Signal estimation and uncertainties extraction in TeraHertz Time Domain Spectroscopy
A new metric for the comparison of permittivity models in terahertz time-domain spectroscopy
Fast Grid to Grid Interpolation for Radio Interferometric Imaging
Dynamics of mitochondrial membranes under photo-oxidative stress with high spatiotemporal resolution
Computing Large 2D Convolutions on GPU Efficiently with the im2tensor Algorithm
Real-Time Optical Flow Processing on Embedded GPU: a Hardware-Aware Algorithm to Implementation Strategy
Super-Resolution Hyperspectral Reconstruction with Majorization-Minimization Algorithm and Low-Rank Approximation
Fast Joint Multiband Reconstruction from Wideband Images Based on Low Rank Approximation
Jointly super-resolved and optically sectioned Bayesian reconstruction method for structured illumination microscopy
SimSDP, a Rapid Prototyping tool for Radio Astronomy: From NenuFAR Experiments to SKAO-Scale Simulation
Extension du prototypage rapide pour les pipelines d’imagerie radioastronomique : Simulation avancée multi-nœud HPC
A Probabilistic Model for Image Processing with Positivity Constraint and Spectral Density Control
A practical HW-aware NAS flow for AI vision applications on embedded heterogeneous SoCs
An Initial Framework for Prototyping the Radio-Interferometric Imaging Pipelines
Untrained Compact Neural Network Prior for High-Dimension Multispectral and Hyperspectral Data Fusion with Spectrally Varying Blurs
Exact Solution for Multispectral and Hyperspectral Fusion via Hessian Inversion
Energy-efficient use of an embedded heterogeneous SoC for the inference of CNNs
Exploration d’architectures de réseaux de neurones pour la segmentation sémantique d’images aériennes
Solution exacte pour la fusion rapide de données multispectrales et hyperspectrales avec flous non stationnaires
Inversion bayésienne myope et non-supervisée pour l’imagerie sur-résolue. Application à l’instrument SPIRE de l’observatoire spatial Herschel.
CentraleSupélec,
3, rue Joliot Curie,
91190 Gif-sur-Yvette
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