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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    Mickael Seznec   

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 communications1 document

  • 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⟩