Romain Vo

According to our database, Romain Vo authored at least 4 papers between 2024 and 2026.

Collaborative distances:

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

2026

Efficient Unrolled Networks for Large-Scale 3D Inverse Problems.

Romain Vo, Julián Tachella

CoRR, January, 2026

2025

DeepInverse: A Python package for solving imaging inverse problems with deep learning.

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

J. Open Source Softw., December, 2025

2024

Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography.

Romain Vo, Julie Escoda, Caroline Vienne, Etienne Decencière

Proceedings of the Computer Vision - ECCV 2024, 2024

Neural Field Regularization by Denoising for 3D Sparse-View X-Ray Computed Tomography.

Romain Vo, Julie Escoda, Caroline Vienne, Etienne Decencière

Proceedings of the International Conference on 3D Vision, 2024