Nicolas Larue — accepted AI-conference papers

2024

QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction

Ishak Ayad, Nicolas Larue, Mai K. Nguyen

CVPR 2024poster

Inverse problems span across diverse fields. In medical contexts computed tomography (CT) plays a crucial role in reconstructing a patient's internal structure presenting challenges due to artifacts caused by inherently ill-posed inverse problems. Previous research advanced image quality via post-pr…

Cited by 9 Source ↗PDF ↗Scholar ↗

2023

SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes

Nicolas Larue, Ngoc-Son Vu, Vitomir Struc, Peter Peer, Vassilis Christophides

ICCV 2023poster

Modern deepfake detectors have achieved encouraging results, when training and test images are drawn from the same data collection. However, when these detectors are applied to images produced with unknown deepfake-generation techniques, considerable performance degradations are commonly observed. I…

Cited by 33 PDF ↗code ↗Scholar ↗