Raphaël Achddou

Post-Doctoral Researcher

Image and Visual Representation Lab, EPFL, Lausanne

Biography

I am a Post-Doctoral researcher at the Image and Visual Representation Lab (IVRL) in EPFL, Lausanne. I am also going to be local arrangement chair for the next edition of ICCP in Lausanne, for which you can find information here. My main research interests are computer vision, image processing, and the statistical modelling of natural images. A list of my publications with filters is here which you can also find on my Google Scholar. Feel free to visit my Github page, where I release the code associated to my projects.

Contact: raphael.achddou@epfl.ch

Interests

Image Restoration
Computational Photography
Statistical Modelling
Computer Vision

Short CV

Postdoc, 2023 - Today

IVRL, EPFL
PhD, 2019 - 2023

Telecom Paris, IP

Publications

Note that this list can be also seen and filtered here.

Raphaël Achddou, Yann Gousseau, Saïd Ladjal. Learning Raw Image Denoising Using a Parametric Color Image Model. 2023 - Accepted at ICIP (conference).

Raphaël Achddou, Yann Gousseau, Saïd Ladjal. Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. . 2023 - Accepted at SSVM (conference).

Raphaël Achddou, Yann Gousseau, Saïd Ladjal. Fully synthetic training for image restoration tasks. . 2023 - Accepted at CVIU (journal).

Raphaël Achddou, Matias di Martino, Guillermo Sapiro. Nested Learning for Multi-Granular Tasks. 2021 - Accepted at ICASSP (conference).

Raphaël Achddou, Yann Gousseau, Saïd Ladjal. Synthetic images as a regularity prior for image restoration neural networks. 2021 - Accepted at SSVM (conference).

Contact

raphael.achddou@epfl.ch
BC366, EPFL, 1015 Lausanne