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    CV. F. Orieux


    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:}

    Nicolas Gac   

    Journal articles2 documents

    • Mickael Seznec, Nicolas Gac, François Orieux, Alvin Sashala Naik. Real-Time Optical Flow Processing on Embedded GPU: anHardware-Aware Algorithm to Implementation Strategy. Journal of Real-Time Image Processing, Springer Verlag, 2021, ⟨10.1007/s11554-021-01187-8⟩. ⟨hal-03457011⟩
    • Antoine Marchal, Marc-Antoine Miville-Deschênes, François Orieux, Nicolas Gac, Charles Soussen, et al.. ROHSA: Regularized Optimization for Hyper-Spectral Analysis: Application to phase separation of 21 cm data. Astronomy and Astrophysics - A&A, EDP Sciences, 2019, 626, pp.A101. ⟨10.1051/0004-6361/201935335⟩. ⟨hal-02147300⟩

    Conference papers2 documents

    • Mickael Seznec, Nicolas Gac, F. Orieux, A. Sashala Naik. An efficiency-driven approach for real-time optical flow processing on parallel hardware. IEEE International Conference on Image Processing, Oct 2020, Abu Dhabi, United Arab Emirates. ⟨hal-02604755⟩
    • Mickael Seznec, Nicolas Gac, André Ferrari, François Orieux. A Study on Convolution Operator Using Half Precision Floating Point Numbers on GPU for Radioastronomy Deconvolution. IEEE International Workshop on Signal Processing Systems (SiPS 2018), Oct 2018, Le Cap, South Africa. ⟨10.1109/sips.2018.8598342⟩. ⟨hal-01837982⟩

    Poster communications2 documents

    • Daniel Charlet, Karol Desnos, Mickaël Dardaillon, André Ferrari, Chiara Ferrari, et al.. Dataflow Algorithm aRchitecture co-design of SKA pipeline for Exascale Radio Astronomy. ISC High Performance 2021, Jun 2021, Virtual conference, France. pp.1. ⟨hal-03233205v2⟩
    • Mickael Seznec, Nicolas Gac, F. Orieux, A. Sashala Naik. A new convolutions algorithm to leverage tensor cores. GPU Technology Conference (GTC), May 2020, Silicon Valley, United States. ⟨hal-02605077⟩