Julián Tachella

CNRS & ENS de Lyon



I am a research scientist at the French National Centre for Scientific Research CNRS, 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 imaging 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.


Sep 17, 2022 Our paper on unsupervised learning from incomplete measurements has been accepted at NeurIPS 2022.
Sep 9, 2022 Our review paper on equivariant deep learning for imaging has been accepted at IEEE Signal Processing Magazine.
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

selected publications

  1. Equivariant Imaging: Learning Beyond the Range Space
    Chen, Dongdong,  Tachella, Julian, and Davies, Mike E
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Mar 2021
  2. The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
    Tachella, Julian, Tang, Junqi, and Davies, Mike
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun 2021
  3. Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers
    Tachella, Julian, Altmann, Yoann, Mellado, Nicolas, Tobin, Rachel, McCarthy, Angus, Buller, Gerald, Tourneret, Jean-Yves, and McLaughlin, Steve
    Nature Communications Jun 2019