Julián Tachella

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Supervised Learning

Inverse Problems

Top Venues

IEEE Trans. Computational Imaging

Publications

Michael P. Sheehan, Julián Tachella, Mike E. Davies
Spline Sketches: An Efficient Approach for Photon Counting Lidar. IEEE Trans. Computational Imaging 10 (2024)
Marcelo Pereyra, Julián Tachella
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems. AISTATS (2024)
Jérémy Scanvic, Mike E. Davies, Patrice Abry, Julián Tachella
Self-Supervised Learning for Image Super-Resolution and Deblurring. CoRR (2023)
Julián Tachella, Laurent Jacques
Learning to reconstruct signals from binary measurements alone. Trans. Mach. Learn. Res. 2023 (2023)
Michael P. Sheehan, Julián Tachella, Mike E. Davies
Hardware Friendly Spline Sketched Lidar. ICASSP (2023)
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning. IEEE Signal Process. Mag. 40 (1) (2023)
Julián Tachella, Marcelo Pereyra
Equivariant Bootstrapping for Uncertainty Quantification in Imaging Inverse Problems. CoRR (2023)
Julián Tachella, Dongdong Chen, Mike E. Davies
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems. J. Mach. Learn. Res. 24 (2023)
Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julián Tachella
Equivariant plug-and-play image reconstruction. CoRR (2023)
Julián Tachella, Laurent Jacques
Learning to Reconstruct Signals From Binary Measurements. CoRR (2023)
Julián Tachella, Michael P. Sheehan, Mike E. Davies
Sketched RT3D: How to reconstruct billions of photons per second. CoRR (2022)
Julián Tachella, Dongdong Chen, Mike E. Davies
Sampling Theorems for Learning from Incomplete Measurements. CoRR (2022)
Julián Tachella, Dongdong Chen, Mike E. Davies
Sampling Theorems for Unsupervised Learning in Linear Inverse Problems. CoRR (2022)
Dongdong Chen, Julián Tachella, Mike E. Davies
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CVPR (2022)
Julián Tachella, Michael P. Sheehan, Mike E. Davies
Sketched RT3D: How to Reconstruct Billions of Photons Per Second. ICASSP (2022)
Dongdong Chen, Mike E. Davies, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella
Imaging with Equivariant Deep Learning. CoRR (2022)
Julián Tachella, Dongdong Chen, Mike Davies
Unsupervised Learning From Incomplete Measurements for Inverse Problems. NeurIPS (2022)
Michael P. Sheehan, Julián Tachella, Mike E. Davies
A Sketching Framework for Reduced Data Transfer in Photon Counting Lidar. IEEE Trans. Computational Imaging 7 (2021)
Julián Tachella, Junqi Tang, Mike E. Davies
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters. CVPR (2021)
Charles Saunders, William Krska, Julián Tachella, Sheila W. Seidel, Joshua Rapp, John Murray-Bruce, Yoann Altmann, Stephen McLaughlin, Vivek K. Goyal
Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations. ICIP (2021)
Dongdong Chen, Julián Tachella, Mike E. Davies
Equivariant Imaging: Learning Beyond the Range Space. CoRR (2021)
Dongdong Chen, Julián Tachella, Mike E. Davies
Equivariant Imaging: Learning Beyond the Range Space. ICCV (2021)
Dongdong Chen, Julián Tachella, Mike E. Davies
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. CoRR (2021)
Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Steve McLaughlin, Michael E. Davies
Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences. IEEE Trans. Image Process. 30 (2021)
Michael P. Sheehan, Julián Tachella, Mike E. Davies
Surface Detection for Sketched Single Photon Lidar. EUSIPCO (2021)
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
Seeing Around Corners with Edge-Resolved Transient Imaging. CoRR (2020)
Quentin Legros, Julián Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences. CoRR (2020)
Julián Tachella, Junqi Tang, Mike E. Davies
CNN Denoisers as Non-Local Filters: The Neural Tangent Denoiser. CoRR (2020)
Julián Tachella, Yoann Altmann, Miguel Marquez, Henry Arguello Fuentes, Jean-Yves Tourneret, Steve McLaughlin
Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals. IEEE Trans. Computational Imaging 6 (2020)
Joshua Rapp, Julián Tachella, Yoann Altmann, Stephen McLaughlin, Vivek K. Goyal
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances. IEEE Signal Process. Mag. 37 (4) (2020)
Julián Tachella, Yoann Altmann, Stephen McLaughlin, Jean-Yves Tourneret
Real-Time 3D Color Imaging with Single-Photon Lidar Data. CAMSAP (2019)
Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret
3D Reconstruction Using Single-photon Lidar Data Exploiting the Widths of the Returns. ICASSP (2019)
Julián Tachella, Yoann Altmann, Steve McLaughlin, Jean-Yves Tourneret
Fast Surface Detection in Single-Photon Lidar Waveforms. EUSIPCO (2019)
Julián Tachella, Yoann Altmann, Ximing Ren, Aongus McCarthy, Gerald S. Buller, Steve McLaughlin, Jean-Yves Tourneret
Bayesian 3D Reconstruction of Complex Scenes from Single-Photon Lidar Data. SIAM J. Imaging Sci. 12 (1) (2019)
Julián Tachella, Yoann Altmann, Marcelo Pereyra, Stephen McLaughlin, Jean-Yves Tourneret
Bayesian Restoration of High-Dimensional Photon-Starved Images. EUSIPCO (2018)