Jérémy Scanvic
GitHub LinkedIn
Hi there. 👋 I am a postgraduate research student at ENSL, working on self-supervised learning for imaging inverse problems including image super-resolution and deblurring, and most specifically focused on adapting equivariant imaging techniques to scale-invariance. Feel free to contact me if you have any question.
“Knowledge is belief arising out of acts of intellectual virtue.”
— Linda Zagzebski, 2017
Posts
A walk through Python profiling, Apr 29'24
Talks
Image Deblurring and Super-Resolution by Learning from Blurry and Low-Resolution Images Only
thumbnail of the talk
July 9, 2024 at l'ENS de Lyon
slides
Research
overview of the method
Self-Supervised Learning for Image Super-Resolution and Deblurring
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella
arXiv 2023
arXiv code
finite state automaton used for proving the main statement
Prefix Palindromic Length of the Sierpinski Word
Dora V. Bulgakova, Anna E. Frid, Jérémy Scanvic
LNCS 2022
paper arXiv
Libraries
overview of the method
Deep Inverse
  • an open-source PyTorch library for solving imaging inverse problems using deep learning
  • written by Julián Tachella, Dongdong Chen, Samuel Hurault and Matthieu Terris
website