Artifical Intelligence Chair - Deep Computational Imaging
Funded by ANR - French Agency for National Research
Deep Computational Imaging (DeepCim)|
is a three-year (2020-2023) project that, building upon the achievements of the ERC-CLIM, develops optimization and deep learning based solutions in computational imaging.
M. Le Pendu, C. Guillemot, Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Inverse Problems, submitted, IEEE Trans. on Pattern Analysis and Machine Intelligence, Aug. 2021.
G. Le Guludec, E. Miandji, C. Guillemot, Deep Light Field Acquisition Using Learned Coded Mask Distributions for Color Filter Array Sensors, IEEE Trans. on computational imaging, vol. 7, pp. 475-488, 2021, May 2021.
R. Fermanian, M. Le Pendu, C. Guillemot, Regularizing the Deep Image Prior with a Learned Denoiser for Linear Inverse Problems, IEEE MultiMedia Signal Processing workshop, accepted, 6-8 Oct. 2021.