I am a CNRS researcher, working at the Sisyph laboratory, École Normale Supérieure de Lyon (Lyon, France). My research lies at the intersection of signal processing and machine learning. I am particularly interested in the theory of inverse problems and applications in computational imaging.
Before joining the CNRS, I did a postdoc in Mike Davies group at the University of Edinburgh (Edinburgh, UK) and a PhD at Heriot-Watt University (Edinburgh, UK) and TéSA lab (Toulouse, France) under the supervision of Yoann Altmann, Jean-Yves Tourneret and Steve McLaughlin.
Code and videos related to my publications can be found here.
|May 27, 2022||Our paper received the Best Student Paper Award at ICASSP’22!|
|Mar 2, 2022||Our paper on robust equivariant imaging is accepted at CVPR’22 (Oral!)|
|Jan 1, 2022||Accepted paper on 3D reconstruction with sketching at ICASSP’22|
|Dec 1, 2021||Joined the CNRS and the Sysiph lab at ENS de Lyon|
|Oct 11, 2021||Oral presentation of the equivariant imaging paper at ICCV’21|
Equivariant Imaging: Learning Beyond the Range SpaceIn Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Mar 2021
The Neural Tangent Link Between CNN Denoisers and Non-Local FiltersIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun 2021
Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisersNature Communications Jun 2019