1 code implementation • ICCV 2023 • Nicolas Larue, Ngoc-Son Vu, Vitomir Struc, Peter Peer, Vassilis Christophides
Modern deepfake detectors have achieved encouraging results, when training and test images are drawn from the same data collection.
no code implementations • 16 Nov 2022 • Loic Jezequel, Ngoc-Son Vu, Jean Beaudet, Aymeric Histace
Deep anomaly detection (AD) aims to provide robust and efficient classifiers for one-class and unbalanced settings.
no code implementations • 24 Nov 2021 • Loic Jezequel, Ngoc-Son Vu, Jean Beaudet, Aymeric Histace
Our model significantly outperforms state-of-the-art with up to 36% relative error improvement on object anomalies and 40% on face anti-spoofing problems.
no code implementations • 20 Apr 2021 • Loic Jezequel, Ngoc-Son Vu, Jean Beaudet, Aymeric Histace
Detecting anomalies using deep learning has become a major challenge over the last years, and is becoming increasingly promising in several fields.
no code implementations • 30 Nov 2013 • Ngoc-Son Vu, Thanh Phuong Nguyen, Christophe Garcia
Within the domain of texture classification, a lot of effort has been spent on local descriptors, leading to many powerful algorithms.