Julien Flamant

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CNRS, CRAN, Université de Lorraine, Nancy, France.

Welcome !

I am a CNRS research scientist in Nancy, France. Im a member of the SiMul research group, the multidimensional signal processing research group in the BioSiS department at CRAN.

I develop signal processing theory and methods to leverage polarization properties in physics, focusing on interpretable, geometric and algebraic approaches.
My research interests include phase retrieval, bivariate signal processing, polarimetric imaging, quaternion-valued signal processing, with applications to physical sciences.



open positions

Several positions are currently open for Spring 25 (check out instructions in pdfs on how to apply)

ongoing research projects

I am currently involved in the following research projects

news

Apr 13, 2024 Together with Nicolas Le Bihan, I will be presenting a tutorial at EUSIPCO 2024 titled “An introduction to bivariate signal processing: polarization, quaternions and geometric representations”. See you all in Lyon next August! Check out the tutorial repo here.
Mar 15, 2024 A 2 year postdoctoral researcher position is open , on algebraic and tensor methods for polarimetric phase retrieval, starting anytime in 2024, in collaboration with Konstantin Usevich. See here for full details. Please reach out if you are interested!
Dec 13, 2023 Our conference paper Physically-constrained block-term tensor decomposition for polarimetric image recovery has been accepted at ICASSP’2024. See you in Seoul, South Korea next April!.
Nov 8, 2023 Our paper Polarimetric Fourier Phase Retrieval has been accepted for publication in SIAM Journal of Imaging Sciences.
Sep 8, 2023 Our overview paper Quaternions in Signal and Image Processing: A comprehensive and objective overview has been published in IEEE Signal Processing Magazine.

selected publications

  1. SIIMS
    Polarimetric Fourier phase retrieval
    Julien FlamantKonstantin UsevichMarianne Clausel, and David Brie
    SIAM Journal of Imaging Sciences, 2024
  2. IEEE SPM
    Quaternions in Signal and Image Processing: A comprehensive and objective overview
    IEEE Signal Processing Magazine, 2023