Publications

Selected publications. You can find a full list of publications in my Google Scholar.

2024

2024

  1. tachella2023equivariant.png
    Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems
    Julian Tachella, and Marcelo Pereyra
    AISTATS 2024, Oral Presentation, 2024

2023

2023

  1. scanvic2023scale.png
    Self-Supervised Learning for Image Super-Resolution and Deblurring
    Jeremy Scanvic , Mike Davies , Patrice Abry , and Julian Tachella
    arXiv preprint arXiv:2312.11232, 2023
  2. terris2023equivariantpnp.png
    Equivariant plug-and-play image reconstruction
    Matthieu Terris , Thomas Moreau , Nelly Pustelnik , and Julian Tachella
    arXiv preprint arXiv:2312.01831, 2023
  3. tachella2023onebit.gif
    Learning to Reconstruct Signals from Binary Measurements
    Julian Tachella, and Laurent Jacques
    Transactions of Machine Learning Research (TMLR). Featured Certification., 2023
  4. sheehan2022splines.png
    Hardware Friendly Spline Sketched Lidar
    Michael P Sheehan , Julian Tachella, and Mike E Davies
    In ICASSP’23 , 2023
  5. imagingequiv.png
    Imaging with Equivariant Deep Learning
    Dongdong Chen , Mike Davies , Matthias J Ehrhardt , Carola-Bibiane Schönlieb , Ferdia Sherry , and Julian Tachella
    IEEE Signal Processing Magazine, 2023
  6. m_regimes_website.png
    Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
    Julian Tachella, Dongdong Chen , and Mike Davies
    Journal of Machine Learning Research (JMLR), Jan 2023

2022

2022

  1. sheehan2022splines.png
    Spline Sketches: An Efficient Approach for Photon Counting Lidar
    Michael P Sheehan , Julian Tachella, and Mike E Davies
    ArXiv preprint, Jan 2022
  2. singlepixel.png
    Unsupervised Learning to Solve Inverse Problems: Application to Single-Pixel Imaging
    Julian Tachella, Dongdong Chen , and Mike Davies
    GRETSI’22, Sep 2022
  3. tachella2022srt3d.PNG
    Sketched RT3D: How to reconstruct billions of photons per second
    Julian Tachella, Michael P. Sheehan , and Mike Davies
    Best Student Paper Award at ICASSP’22, Mar 2022
  4. tachella2022sampling.PNG
    Unsupervised Learning From Incomplete Measurements for Inverse Problems
    Julian Tachella, Dongdong Chen , and Mike Davies
    NeurIPS 2022, May 2022
  5. chen2021robust.png
    Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements
    Dongdong Chen , Julian Tachella, and Mike E Davies
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022

2021

2021

  1. sheehan2021detection.png
    Surface Detection for Sketched Single Photon Lidar
    Michael P. Sheehan , Julian Tachella, and Mike E. Davies
    In 2021 29th European Signal Processing Conference (EUSIPCO) , Aug 2021
  2. chen2021equivariant.jpg
    Equivariant Imaging: Learning Beyond the Range Space
    Dongdong Chen , Julian Tachella, and Mike E Davies
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , Mar 2021
  3. sheehan2021sketching.gif
    A sketching framework for reduced data transfer in photon counting lidar
    Michael P Sheehan , Julian Tachella, and Mike E Davies
    IEEE Transactions on Computational Imaging, Mar 2021
  4. tachella2021nonlocal.png
    The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
    Julian Tachella, Junqi Tang , and Mike Davies
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , Jun 2021

2020

2020

  1. rapp2020seeing.gif
    Seeing around corners with edge-resolved transient imaging
    Joshua Rapp , Charles Saunders , Julian Tachella, John Murray-Bruce , Yoann Altmann , Jean-Yves Tourneret , Stephen McLaughlin , Robin Dawson , Franco NC Wong , and Vivek K Goyal
    Nature communications, Jun 2020
  2. rapp2020advances.png
    Advances in single-photon lidar for autonomous vehicles: Working principles, challenges, and recent advances
    Joshua Rapp , Julian Tachella, Yoann Altmann , Stephen McLaughlin , and Vivek K Goyal
    IEEE Signal Processing Magazine, Jun 2020

2019

2019

  1. tachella2019crt3d.gif
    Real-time 3D color imaging with single-photon lidar data
    Julian Tachella, Yoann Altmann , Stephen McLaughlin , and Jean-Yves Tourneret
    In Proc. 8th Int. Workshop Comput. Adv. Multi-Sensor Adap. Process. (CAMSAP) , Dec 2019
  2. tachella2019musapop.gif
    Bayesian 3D Reconstruction of Subsampled Multispectral Single-photon Lidar Signals
    Julian Tachella, Yoann Altmann , Miguel Márquez , Henry Arguello-Fuentes , Jean-Yves Tourneret , and Stephen McLaughlin
    IEEE Trans. Comput. Imag., Apr 2019
  3. tachella2019manipop.gif
    Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data
    Julian Tachella, Yoann Altmann , Ximing Ren , Angus McCarthy , Gerald Buller , Steve McLaughlin , and Jean-Yves Tourneret
    SIAM Journal on Imaging Sciences, Apr 2019
  4. tachella2019rt3d.gif
    Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers
    Julian Tachella, Yoann Altmann , Nicolas Mellado , Rachel Tobin , Angus McCarthy , Gerald Buller , Jean-Yves Tourneret , and Steve McLaughlin
    Nature Communications, Apr 2019
  5. tachellagenmanipop.gif
    3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns
    Julian Tachella, Yoann Altmann , Stephen McLaughlin , and Jean-Yves Tourneret
    In Proc. Int. Conf. on Acoustics, Speech and Signal Process. (ICASSP) , May 2019
  6. tachella2019detection.png
    Fast Surface Detection in Single-Photon Lidar Waveforms
    Julian Tachella, Yoann Altmann , Stephen McLaughlin , and Jean-Yves Tourneret
    In Proc. 27th Eur. Signal Process. Conf. (EUSIPCO) , Sep 2019
  7. On fast object detection using single-photon lidar data
    Julian Tachella, Yoann Altmann , Stephen McLaughlin , and Jean-Yves Tourneret
    In Proc. SPIE Wavelets and Sparsity XVIII , Sep 2019