Julián Tachella

According to our database, Julián Tachella authored at least 28 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning.

Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella

IEEE Signal Process. Mag., 2023

Sensing Theorems for Unsupervised Learning in Linear Inverse Problems.

Julián Tachella, Dongdong Chen, Mike E. Davies

J. Mach. Learn. Res., 2023

Self-Supervised Learning for Image Super-Resolution and Deblurring.

Jérémy Scanvic, Mike E. Davies, Patrice Abry, Julián Tachella

CoRR, 2023

Equivariant plug-and-play image reconstruction.

Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julián Tachella

CoRR, 2023

Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems.

Julián Tachella, Marcelo Pereyra

CoRR, 2023

Learning to Reconstruct Signals From Binary Measurements.

Julián Tachella, Laurent Jacques

CoRR, 2023

Hardware Friendly Spline Sketched Lidar.

Michael P. Sheehan, Julián Tachella, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Imaging with Equivariant Deep Learning.

Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella

CoRR, 2022

Sampling Theorems for Unsupervised Learning in Linear Inverse Problems.

Julián Tachella, Dongdong Chen, Mike E. Davies

CoRR, 2022

Sampling Theorems for Learning from Incomplete Measurements.

Julián Tachella, Dongdong Chen, Mike E. Davies

CoRR, 2022

Unsupervised Learning From Incomplete Measurements for Inverse Problems.

Julián Tachella, Dongdong Chen, Mike E. Davies

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sketched RT3D: How to Reconstruct Billions of Photons Per Second.

Julián Tachella, Michael P. Sheehan, Mike E. Davies

Proceedings of the IEEE International Conference on Acoustics, 2022

Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements.

Dongdong Chen, Julián Tachella, Mike E. Davies

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences.

Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Steve McLaughlin, Michael E. Davies

IEEE Trans. Image Process., 2021

A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar.

Michael P. Sheehan, Julián Tachella, Mike E. Davies

IEEE Trans. Computational Imaging, 2021

Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations.

Charles Saunders, William Krska, Julián Tachella, Sheila W. Seidel, Joshua Rapp, John Murray-Bruce, Yoann Altmann, Steve McLaughlin, Vivek K. Goyal

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Equivariant Imaging: Learning Beyond the Range Space.

Dongdong Chen, Julián Tachella, Mike E. Davies

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Surface Detection for Sketched Single Photon Lidar.

Michael P. Sheehan, Julián Tachella, Mike E. Davies

Proceedings of the 29th European Signal Processing Conference, 2021

The Neural Tangent Link Between CNN Denoisers and Non-Local Filters.

Julián Tachella, Junqi Tang, Mike E. Davies

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals.

Julián Tachella, Yoann Altmann, Miguel Marquez, Henry Arguello Fuentes, Jean-Yves Tourneret, Steve McLaughlin

IEEE Trans. Computational Imaging, 2020

Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances.

Joshua Rapp, Julián Tachella, Yoann Altmann, Stephen McLaughlin, Vivek K. Goyal

IEEE Signal Process. Mag., 2020

CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser.

Julián Tachella, Junqi Tang, Mike E. Davies

CoRR, 2020

Seeing Around Corners with Edge-Resolved Transient Imaging.

Joshua Rapp, Charles Saunders, Julián Tachella, John Murray-Bruce, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Robin M. A. Dawson, Franco N. C. Wong, Vivek K. Goyal

CoRR, 2020

2019

Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data.

Julián Tachella, Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin, Jean-Yves Tourneret

SIAM J. Imaging Sci., 2019

3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns.

Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret

Proceedings of the IEEE International Conference on Acoustics, 2019

Fast Surface Detection in Single-Photon Lidar Waveforms.

Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret

Proceedings of the 27th European Signal Processing Conference, 2019

Real-Time 3D Color Imaging with Single-Photon Lidar Data.

Julián Tachella, Yoann Altmann, Stephen McLaughlin, Jean-Yves Tourneret

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Bayesian Restoration of High-Dimensional Photon-Starved Images.

Julián Tachella, Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin, Jean-Yves Tourneret

Proceedings of the 26th European Signal Processing Conference, 2018