181 citations · 286 across the 67 of their papers we have counts for
21 papers · 1 filter
Prediction-Aware Quality Enhancement of VVC Using CNN
Fatemeh Nasiri, Wassim Hamidouche, Luce Morin +2
The upcoming video coding standard, Versatile Video Coding (VVC), has shown great improvement compared to its predecessor, High Efficiency Video Coding (HEVC), in terms of bitrate…
Perceptual Quality Assessment of HEVC and VVC Standards for 8K Video
Charles Bonnineau, Wassim Hamidouche, Jerome Fournier +3
With the growing data consumption of emerging video applications and users requirement for higher resolutions, up to 8K, a huge effort has been made in video compression technologi…
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…
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong +47
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…
Versatile Video Coding Standard: A Review from Coding Tools to Consumers Deployment
Wassim Hamidouche, Thibaud Biatek, Mohsen Abdoli +5
The amount of video content and the number of applications based on multimedia information increase each day. The development of new video coding standards is a challenge to increa…
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…
A CNN-based Prediction-Aware Quality Enhancement Framework for VVC
Fatemeh Nasiri, Wassim Hamidouche, Luce Morin +2
This paper presents a framework for Convolutional Neural Network (CNN)-based quality enhancement task, by taking advantage of coding information in the compressed video signal. The…
Model Selection CNN-based VVC QualityEnhancement
Fatemeh Nasiri, Wassim Hamidouche, Luce Morin +2
Artifact removal and filtering methods are inevitable parts of video coding. On one hand, new codecs and compression standards come with advanced in-loop filters and on the other h…
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…
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
Ahmed Aldahdooh, Wassim Hamidouche, Sid Ahmed Fezza +1
Deep learning (DL) has shown great success in many human-related tasks, which has led to its adoption in many computer vision based applications, such as security surveillance syst…
Conditional Coding for Flexible Learned Video Compression
Théo Ladune, Pierrick Philippe, Wassim Hamidouche +2
This paper introduces a novel framework for end-to-end learned video coding. Image compression is generalized through conditional coding to exploit information from reference frame…
Conditional Coding and Variable Bitrate for Practical Learned Video Coding
Théo Ladune, Pierrick Philippe, Wassim Hamidouche +2
This paper introduces a practical learned video codec. Conditional coding and quantization gain vectors are used to provide flexibility to a single encoder/decoder pair, which is a…
Learning Synergistic Attention for Light Field Salient Object Detection
Yi Zhang, Geng Chen, Qian Chen +5
We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with…
Selective Encryption of the Versatile Video Coding Standard
Guillaume Gautier, Mousa FarajAllah, Wassim Hamidouche +2
Versatile video coding (VVC) is the next generation video coding standard developed by the joint video experts team (JVET) and released in July 2020. VVC introduces several new cod…
Light Field Image Coding Using VVC standard and View Synthesis based on Dual Discriminator GAN
Nader Bakir, Wassim Hamidouche, Sid Ahmed Fezza +2
Light field (LF) technology is considered as a promising way for providing a high-quality virtual reality (VR) content. However, such an imaging technology produces a large amount…
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection
Ahmed Aldahdooh, Wassim Hamidouche, Olivier Déforges
Security-sensitive applications that rely on Deep Neural Networks (DNNs) are vulnerable to small perturbations that are crafted to generate Adversarial Examples(AEs). The AEs are i…
Machine Learning based Efficient QT-MTT Partitioning Scheme for VVC Intra Encoders
Alexandre Tissier, Wassim Hamidouche, Souhaiel Belhadj Dit Mdalsi +3
The next-generation Versatile Video Coding (VVC) standard introduces a new Multi-Type Tree (MTT) block partitioning structure that supports Binary-Tree (BT) and Ternary-Tree (TT) s…