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François Orieux
53
Documents
Researcher identifiers
francois-orieux
-
0000-0001-5638-3416
- IdRef : 14442097X
Presentation
Webpage [http://pro.orieux.fr](http://research.orieux.fr)
François orieux is Assistant Professor at the Université Paris-Saclay, Science Faculty of Orsay, and a researcher in the Laboratoire des Signaux et Systèmes, Groupe Problèmes Inverses (Univ. Paris-Saclay, CNRS, CentraleSupélec, Université Paris-Saclay). He is also an associate researcher with the Institut d'Astrophysique Spatiale (Univ. Paris-Saclay, CNRS).
He received his Ph.D. degree in signal processing at Université Paris-Sud, Orsay, France.
His research focuses on Bayesian methodological approaches for ill-posed inverse problems resolution with examples of applications in astrophysics or biological microscopy.
F. Orieux is a member of the Laboratoire des Signaux et Systèmes (Univ. Paris-Saclay, CNRS, CentraleSupélec), 91 192, Gif-sur-Yvette, France. e-mail: orieux@l2s.centralesupelec.fr.}
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Energy-efficient use of an embedded heterogeneous SoC for the inference of CNNs2023 26th Euromicro Conference on Digital System Design (DSD), Sep 2023, Durrës, Albania
Conference papers
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Embedded AI performances of Nvidia's Jetson Orin SoC series17ème Colloque National du GDR SOC2, Jun 2023, Lyon, France
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Fast Sky to Sky Interpolation for Radio Interferometric ImagingIEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. ⟨10.1109/ICIP46576.2022.9897317⟩
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Multi-core multi-node parallelization of the radio interferometric imaging pipeline DDFacetIEEE Workshop on Signal Processing Systems (SiPS), Nov 2022, Rennes, France
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An efficiency-driven approach for real-time optical flow processing on parallel hardwareIEEE International Conference on Image Processing, Oct 2020, Abu Dhabi, United Arab Emirates
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NON-STATIONARY HYPERSPECTRAL FORWARD MODEL AND HIGH-RESOLUTIONIEEE International Conference on Image Processing 2020 (ICIP 2020), Oct 2020, Abu-Dhabi, United Arab Emirates
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Vers une reconstruction super-résolue et sectionnée optiquement pour l’imagerie rétinienne par illumination structuréeGRETSI 2019, Aug 2019, LILLE, France
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Reconstruction hyperspectraleà haute résolutionà partir de mesures de spectrometrie27eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2019, Aug 2019, Lille, France
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Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Rome, Italy
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A Study on Convolution Operator Using Half Precision Floating Point Numbers on GPU for Radioastronomy DeconvolutionIEEE International Workshop on Signal Processing Systems (SiPS 2018), Oct 2018, Le Cap, South Africa. ⟨10.1109/sips.2018.8598342⟩
Conference papers
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Semi-unsupervised Bayesian convex image restoration with location mixture of Gaussian25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos, Greece. ⟨10.23919/EUSIPCO.2017.8081309⟩
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Restauration d'objets astrophysiques à partir de données multispectrales floues et d'une réponse instrument non-stationnaire26eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2017, Sep 2017, Juan Les Pins, France
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Reducing Data Acquisition for Fast Structured Illumination Microscopy using Compressed Sensing14th International Symposium on Biomedical Imaging (ISBI 2017), Apr 2017, Melbourne, Australia. ⟨10.1109/isbi.2017.7950461⟩
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Optical sectioning with Structured Illumination Microscopy for retinal imaging: inverse problem approach26eme Colloque GRETSI Traitement du Signal & des Images, Sep 2017, Juan-les-pins, France
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Restauration d'image par une approche bayésienne semi non supervisée et le mélange de gaussienne26eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2017, Sep 2017, Juan-les-Pins, France
Conference papers
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Restoration from Multispectral Blurred Data with Non-Stationary Instrument Response25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, kos, Greece. ⟨10.23919/eusipco.2017.8081258⟩
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Accélération de la méthode de microscopie à illumination structurée à l'aide de l'acquisition comprimée26eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2017, Sep 2017, Juan-les-Pins, France
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hal-01637851v1
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Gradient scan Gibbs sampler: An efficient high-dimensional sampler application in inverse problems40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), Apr 2015, Brisbane, Australia. ⟨10.1109/ICASSP.2015.7178739⟩
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In vivo dual-color high resolution SIM of optically thick samples with background subtractionFocus on Microscopy, Apr 2014, Sydney, Australia
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Dynamic SIM for high-speed imaging and optical sectioning in living samplesFocus on Microscopy, Apr 2012, Singapour, Singapore
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Deconvolution with gaussian blur parameter and hyperparameters estimationICASSP 2010 - 35th IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2010, Dallas, TX, United States. pp.1350 - 1353, ⟨10.1109/ICASSP.2010.5495444⟩
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Echantillonnage de champs gaussiens de grande dimension42èmes Journées de Statistique, 2010, Marseille, France, France
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Instrument parameter estimation in bayesian convex deconvolutionIEEE International Conference on Image Processing (ICIP), Sep 2010, Hong Kong, Hong Kong SAR China. pp.1161 - 1164, ⟨10.1109/ICIP.2010.5651917⟩
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Data inversion for hyperspectral objects in astronomyFirst IEEE GRSS Workshop on Hyperspectral Image and Signal Processing, Aug 2009, Grenoble, France. ⟨10.1109/WHISPERS.2009.5289008⟩
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Super-resolution with continuous scan shift16th IEEE International Conference on Image Processing (ICIP), Nov 2009, Le caire, Egypt. ⟨10.1109/ICIP.2009.5413718⟩
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Inversion de données pour l'imagerie spectrale sur-résolue en astronomieGretsi 2007, Sep 2007, Troyes, France. pp.717
Conference papers
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Les télélescopes SKAConference poster hal-03825850v1 |
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Dataflow Algorithm aRchitecture co-design of SKA pipeline for Exascale Radio AstronomyISC High Performance 2021, Jun 2021, Virtual conference, France. pp.1
Conference poster
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A new convolutions algorithm to leverage tensor coresGPU Technology Conference (GTC), May 2020, Silicon Valley, United States
Conference poster
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Inversion bayésienne myope et non-supervisée pour l'imagerie sur-résolue. Application à l'instrument SPIRE de l'observatoire spatial Herschel.Traitement du signal et de l'image [eess.SP]. Université Paris Sud - Paris XI, 2009. Français. ⟨NNT : ⟩
Theses
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