18 citations · 63 across the 20 of their papers we have counts for
28 papers
Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection
Sid Ahmed Fezza, Mohammed Yasser Ouis, Bachir Kaddar +2
Thanks to the remarkable advances in generative adversarial networks (GANs), it is becoming increasingly easy to generate/manipulate images. The existing works have mainly focused…
OpenVVC: a Lightweight Software Decoder for the Versatile Video Coding Standard
Thomas Amestoy, Pierre-loup Cabarat, Guillaume Gautier +2
In the recent years, users requirements for higher resolution, coupled with the apparition of new multimedia applications, have created the need for a new video coding standard. Th…
CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability
Charles Bonnineau, Wassim Hamidouche, Jean-François Travers +3
In this paper, we present CAESR, an hybrid learning-based coding approach for spatial scalability based on the versatile video coding (VVC) standard. Our framework considers a low-…
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition
Mouath Aouayeb, Wassim Hamidouche, Catherine Soladie +2
As various databases of facial expressions have been made accessible over the last few decades, the Facial Expression Recognition (FER) task has gotten a lot of interest. The multi…
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising
Anouar Kherchouche, Sid Ahmed Fezza, Wassim Hamidouche
Despite the enormous performance of deepneural networks (DNNs), recent studies have shown theirvulnerability to adversarial examples (AEs), i.e., care-fully perturbed inputs design…
Lightweight Hardware Transform Design for the Versatile Video Coding 4K ASIC Decoders
Ibrahim Farhat, Wassim Hamidouche, Adrien Grill +2
Versatile Video Coding (VVC) is the next generation video coding standard finalized in July 2020. VVC introduces new coding tools enhancing the coding efficiency compared to its pr…