Matthieu Terris

22 papers A* 2B 1C 2Misc 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
DeepInverse: A Python package for solving imaging inverse problems with deep learning.
J. Open Source Softw.
Julián Tachella, Matthieu Terris, Samuel Hurault, Andrew Wang, Leo Davy, Jérémy Scanvic, Victor Sechaud, Romain Vo, Thomas Moreau, Thomas Davies, Dongdong Chen, Nils Laurent, Brayan Monroy, Jonathan Dong, Zhiyuan Hu, Minh-Hai Nguyen, Florian Sarron, Pierre Weiss, Paul Escande, Mathurin Massias, Thibaut Modrzyk, Brett Levac, Tobías I. Liaudat, Maxime Song, Johannes Hertrich, Sebastian Neumayer, Georg Schramm
2025 A* conf
FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems.
CVPR
Matthieu Terris, Ulugbek S. Kamilov, Thomas Moreau
2025 J jnl
From Denoising Score Matching to Langevin Sampling: A Fine-Grained Error Analysis in the Gaussian Setting.
CoRR
Samuel Hurault, Matthieu Terris, Thomas Moreau, Gabriel Peyré
2025 — conf
Plug-and-Play Reconstruction for 3D Non-Cartesian fMRI Data.
EUSIPCO
Pierre-Antoine Comby, Matthieu Terris, Alexandre Vignaud, Philippe Ciuciu
2025 J jnl
Reconstruct Anything Model: a lightweight foundation model for computational imaging.
CoRR
Matthieu Terris, Samuel Hurault, Maxime Song, Julián Tachella
2025 — conf
Robust Plug-and-Play Methods for Highly Accelerated Non-Cartesian MRI Reconstruction.
ISBI
Pierre-Antoine Comby, Benjamin Lapostolle, Matthieu Terris, Philippe Ciuciu
2024 A* conf
Equivariant Plug-and-Play Image Reconstruction.
CVPR
Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julián Tachella
2024 J jnl
FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems.
CoRR
Matthieu Terris, Ulugbek S. Kamilov, Thomas Moreau
2024 J jnl
Robust plug-and-play methods for highly accelerated non-Cartesian MRI reconstruction.
CoRR
Pierre-Antoine Comby, Benjamin Lapostolle, Matthieu Terris, Philippe Ciuciu
2023 Misc conf
Deep Network Series for Large-Scale High-Dynamic Range Imaging.
ICASSP
Amir Aghabiglou, Matthieu Terris, Adrian Jackson, Yves Wiaux
2023 J jnl
Equivariant plug-and-play image reconstruction.
CoRR
Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julián Tachella
2023 C conf
Have Foundational Models Seen Satellite Images?
IGARSS
Akash Panigrahi, Sagar Verma, Matthieu Terris, Maria Vakalopoulou
2023 C conf
Investigating Model Robustness Against Sensor Variation.
IGARSS
Matthieu Terris, Sagar Verma
2023 J jnl
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers.
CoRR
Matthieu Terris, Thomas Moreau
2023 J jnl
Scalable precision wide-field imaging in radio interferometry: II. AIRI validated on ASKAP data.
CoRR
Amanda G. Wilber, Arwa Dabbech, Matthieu Terris, Adrian Jackson, Yves Wiaux
2022 J jnl
Deep network series for large-scale high-dynamic range imaging.
CoRR
Amir Aghabiglou, Matthieu Terris, Adrian Jackson, Yves Wiaux
2022 — conf
Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play.
EUSIPCO
Audrey Repetti, Matthieu Terris, Yves Wiaux, Jean-Christophe Pesquet
2022 J jnl
First AI for deep super-resolution wide-field imaging in radio astronomy: unveiling structure in ESO 137-006.
CoRR
Arwa Dabbech, Matthieu Terris, Adrian Jackson, Mpati Ramatsoku, Oleg M. Smirnov, Yves Wiaux
2022 J jnl
Image reconstruction algorithms in radio interferometry: from handcrafted to learned denoisers.
CoRR
Matthieu Terris, Arwa Dabbech, Chao Tang, Yves Wiaux
2021 B conf
Enhanced Convergent PNP Algorithms For Image Restoration.
ICIP
Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux
2021 J jnl
Learning Maximally Monotone Operators for Image Recovery.
SIAM J. Imaging Sci.
Jean-Christophe Pesquet, Audrey Repetti, Matthieu Terris, Yves Wiaux
2020 Misc conf
Building Firmly Nonexpansive Convolutional Neural Networks.
ICASSP
Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux