no code implementations • 4 Dec 2023 • Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julian Tachella
Plug-and-play algorithms constitute a popular framework for solving inverse imaging problems that rely on the implicit definition of an image prior via a denoiser.
1 code implementation • 18 Oct 2023 • Julian Tachella, Marcelo Pereyra
Scientific imaging problems are often severely ill-posed, and hence have significant intrinsic uncertainty.
1 code implementation • 13 Oct 2022 • Michael Patrick Sheehan, Julian Tachella, Mike E. Davies
Photon counting lidar has become an invaluable tool for 3D depth imaging due to the fine-precision it can achieve over long ranges.
no code implementations • 20 Apr 2020 • Quentin Legros, Julian Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies
In this work, we consider a new similarity measure for robust depth estimation, which allows us to use a simple observation model and a non-iterative estimation procedure while being robust to mis-specification of the background illumination model.