Hi there. 👋 I'm a PhD student at
ENSL and Foxstream,
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.
Talks
Scale-Equivariant Imaging: Self-Supervised Learning for Image Super-Resolution and Deblurring
May 13, 2025, GdR IASIS, INRIA Paris
Image Deblurring and Super-Resolution by Learning from Blurry and Low-Resolution Images Only
July 9, 2024 at ENSL
Research
Self-Supervised Learning for Image Super-Resolution and Deblurring
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella
arXiv 2023
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella
arXiv 2023
Contributed projects
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
Equational Theories
- A collaborative research project in Universal Algebra
- Lead by Terrence Tao
Personal projects
Spectrogram
- A real-time spectrogram running in the browser
- Featured at la Fête de la Science (2024)