Jérémy Scanvic
Hi there. 👋 I am a postgraduate research student at the University of Edinburgh, working on self-supervised learning for imaging inverse problems including image super-resolution and deblurring, and most specifically focused on combining equivariant imaging and scale-invariance. Feel free to contact me if you have any question.
Research
overview of the method
Self-Supervised Learning for Image Super-Resolution and Deblurring
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella
arXiv 2023
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
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