18 citations · 83 across the 57 of their papers we have counts for
8 papers · 2 filters
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…
Reveal of Vision Transformers Robustness against Adversarial Attacks
Ahmed Aldahdooh, Wassim Hamidouche, Olivier Deforges
The major part of the vanilla vision transformer (ViT) is the attention block that brings the power of mimicking the global context of the input image. For better performance, ViT…
Multitask Learning for VVC Quality Enhancement and Super-Resolution
Charles Bonnineau, Wassim Hamidouche, Jean-Francois Travers +2
The latest video coding standard, called versatile video coding (VVC), includes several novel and refined coding tools at different levels of the coding chain. These tools bring si…
SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos
Yi Zhang, Lu Zhang, Kang Wang +2
Salient human detection (SHD) in dynamic 360° immersive videos is of great importance for various applications such as robotics, inter-human and human-object interaction in augment…
CMA-Net: A Cascaded Mutual Attention Network for Light Field Salient Object Detection
Yi Zhang, Lu Zhang, Wassim Hamidouche +1
In the past few years, numerous deep learning methods have been proposed to address the task of segmenting salient objects from RGB images. However, these approaches depending on s…