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François Orieux
100%
Libre accès
6
Documents
Affiliations actuelles
- 1289
- 419361
Identifiants chercheurs
- francois-orieux
- 0000-0001-5638-3416
- IdRef : 14442097X
Site web
- http://pro.orieux.fr
Présentation
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.}
Publications
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Computing Large 2D Convolutions on GPU Efficiently with the im2tensor AlgorithmJournal of Real-Time Image Processing, 2022, 19, pp.1035-1047. ⟨10.1007/s11554-022-01240-0⟩
Article dans une revue
hal-03742005v1
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Real-Time Optical Flow Processing on Embedded GPU: a Hardware-Aware Algorithm to Implementation StrategyJournal of Real-Time Image Processing, 2022, 19 (2), pp.317-329. ⟨10.1007/s11554-021-01187-8⟩
Article dans une revue
hal-03457011v1
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MobileFlow : modèle et mise en œuvre pour une inférence de flot optique efficaceGRETSI 2022 - XXIIXème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France
Communication dans un congrès
hal-03695558v2
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An efficiency-driven approach for real-time optical flow processing on parallel hardwareIEEE International Conference on Image Processing (ICIP’2020), Oct 2020, Abu Dhabi, United Arab Emirates. ⟨10.1109/icip40778.2020.9191164⟩
Communication dans un congrès
hal-02604755v1
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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⟩
Communication dans un congrès
hal-01837982v1
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A new convolutions algorithm to leverage tensor coresGPU Technology Conference (GTC), May 2020, Silicon Valley, United States
Poster de conférence
hal-02605077v1
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