Wassim Hamidouche | DeepAI

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∙ 07/19/2023

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...

0 Xiaohong Liu, et al. ∙

∙ 07/12/2023

ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression

Over the last few years, neural image compression has gained wide attent...

0 Ahmed Ghorbel, et al. ∙

∙ 07/12/2023

AICT: An Adaptive Image Compression Transformer

Motivated by the efficiency investigation of the Tranformer-based transf...

0 Ahmed Ghorbel, et al. ∙

∙ 07/05/2023

Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression

Recently, the performance of neural image compression (NIC) has steadily...

0 Ahmed Ghorbel, et al. ∙

∙ 07/04/2023

Immersive Media and Massive Twinning: Advancing Towards the Metaverse

The advent of the Metaverse concept has further expedited the evolution ...

0 Wassim Hamidouche, et al. ∙

∙ 10/01/2022

Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection

Thanks to the remarkable advances in generative adversarial networks (GA...

6 Sid Ahmed Fezza, et al. ∙

∙ 07/05/2022

Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images

The quality of patient care associated with diagnostic radiology is prop...

18 Ahmed Ghorbel, et al. ∙

∙ 06/05/2022

Federated Adversarial Training with Transformers

Federated learning (FL) has emerged to enable global model training over...

8 Ahmed Aldahdooh, et al. ∙

∙ 02/01/2022

CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability

In this paper, we present CAESR, an hybrid learning-based coding approac...

0 Charles Bonnineau, et al. ∙

∙ 07/12/2021

Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising

Despite the enormous performance of deepneural networks (DNNs), recent s...

14 Anouar Kherchouche, et al. ∙

∙ 07/07/2021

Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition

As various databases of facial expressions have been made accessible ove...

0 Mouath Aouayeb, et al. ∙

∙ 06/07/2021

Reveal of Vision Transformers Robustness against Adversarial Attacks

Attention-based networks have achieved state-of-the-art performance in m...

0 Ahmed Aldahdooh, et al. ∙

∙ 05/24/2021

SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos

Salient human detection (SHD) in dynamic 360 immersive videos is of grea...

7 Yi Zhang, et al. ∙

∙ 05/03/2021

CMA-Net: A Cascaded Mutual Attention Network for Light Field Salient Object Detection

In the past few years, numerous deep learning methods have been proposed...

0 Yi Zhang, et al. ∙

∙ 05/01/2021

Adversarial Example Detection for DNN Models: A Review

Deep Learning (DL) has shown great success in many human-related tasks, ...

0 Ahmed Aldahdooh, et al. ∙

∙ 04/28/2021

Learning Synergistic Attention for Light Field Salient Object Detection

We propose a novel Synergistic Attention Network (SA-Net) to address the...

9 Yi Zhang, et al. ∙

∙ 04/19/2021

Conditional Coding and Variable Bitrate for Practical Learned Video Coding

This paper introduces a practical learned video codec. Conditional codin...

0 Théo Ladune, et al. ∙

∙ 04/16/2021

Multitask Learning for VVC Quality Enhancement and Super-Resolution

The latest video coding standard, called versatile video coding (VVC), i...

0 Charles Bonnineau, et al. ∙

∙ 03/09/2021

Selective and Features based Adversarial Example Detection

Security-sensitive applications that relay on Deep Neural Networks (DNNs...

0 Ahmed Aldahdooh, et al. ∙

∙ 03/06/2021

Selective Encryption of the Versatile Video Coding Standard

Versatile video coding (VVC) is the next generation video coding standar...

0 Guillaume Gautier, et al. ∙

∙ 12/29/2020

Quality-Driven Dynamic VVC Frame Partitioning for Efficient Parallel Processing

VVC is the next generation video coding standard, offering coding capabi...

0 Thomas Amestoy, et al. ∙

∙ 08/06/2020

Optical Flow and Mode Selection for Learning-based Video Coding

This paper introduces a new method for inter-frame coding based on two c...

0 Théo Ladune, et al. ∙

∙ 07/06/2020

ModeNet: Mode Selection Network For Learned Video Coding

In this paper, a mode selection network (ModeNet) is proposed to enhance...

0 Théo Ladune, et al. ∙

∙ 02/21/2020

Binary Probability Model for Learning Based Image Compression

In this paper, we propose to enhance learned image compression systems w...

0 Théo Ladune, et al. ∙

∙ 01/22/2020

A Fixation-based 360° Benchmark Dataset for Salient Object Detection

Fixation prediction (FP) in panoramic contents has been widely investiga...

0 Yi Zhang, et al. ∙

∙ 06/01/2019

Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification

Deep neural networks (DNNs) have recently achieved state-of-the-art perf...

0 Sid Ahmed Fezza, et al. ∙

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