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Sid Ahmed Fezza
Sid Ahmed Fezza
Full Professor @National Higher School of Telecommunications and ICT
Adresse e-mail validée de ensttic.dz
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Année
Adversarial example detection for DNN models: a review and experimental comparison
A Aldahdooh, W Hamidouche, SA Fezza, O Deforges
Artificial Intelligence Review, 2022
107*2022
NTIRE 2022 challenge on perceptual image quality assessment
J Gu, H Cai, C Dong, JS Ren, R Timofte, Y Gong, S Lao, S Shi, J Wang, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
902022
DDSA: A defense against adversarial attacks using deep denoising sparse autoencoder
Y Bakhti, SA Fezza, W Hamidouche, O Déforges
IEEE Access 7, 160397-160407, 2019
562019
Perceptual evaluation of adversarial attacks for CNN-based image classification
SA Fezza, Y Bakhti, W Hamidouche, O Déforges
2019 Eleventh International Conference on Quality of Multimedia Experience …, 2019
422019
Feature-based Color Correction of Multi-View Video for Coding and Rendering Enhancement
SA Fezza, MC Larabi, KM Faraoun
Circuits and Systems for Video Technology, IEEE Transactions on 24 (9), 1486 …, 2014
322014
Detection of adversarial examples in deep neural networks with natural scene statistics
A Kherchouche, SA Fezza, W Hamidouche, O Déforges
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
282020
Stereoscopic image quality metric based on local entropy and binocular just noticeable difference
SA Fezza, MC Larabi, KM Faraoun
2014 IEEE International Conference on Image Processing (ICIP), 2002-2006, 2014
252014
Using Distortion and Asymmetry Determination for Blind Stereoscopic Image Quality Assessment Strategy
SA Fezza, A Chetouani, MC Larabi
Journal of Visual Communication and Image Representation 49, 115–128, 2017
192017
Light field image coding using VVC standard and view synthesis based on dual discriminator GAN
N Bakir, W Hamidouche, SA Fezza, K Samrouth, O Deforges
IEEE Transactions on Multimedia 23, 2972-2985, 2021
172021
Stereoscopic 3D image quality assessment based on cyclopean view and depth map
SA Fezza, MC Larabi
Consumer Electronics Berlin (ICCE-Berlin), 2014 IEEE Fourth International …, 2014
152014
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
142023
Egb: Image quality assessment based on ensemble of gradient boosting
D Hammou, SA Fezza, W Hamidouche
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
142021
Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising
A Kherchouche, SA Fezza, W Hamidouche
Neural Computing and Applications, 1-16, 2021
122021
Perceptually Driven Nonuniform Asymmetric Coding of Stereoscopic 3D Video
SA Fezza, MC Larabi
IEEE Transactions on Circuits and Systems for Video Technology 27 (10), 2231 …, 2017
122017
Natural scene statistics for detecting adversarial examples in deep neural networks
A Kherchouche, SA Fezza, W Hamidouche, O Déforges
2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP …, 2020
112020
Light Field Image Coding Using Dual Discriminator Generative Adversarial Network and VVC Temporal Scalability
N Bakir, W Hamidouche, SA Fezza, K Samrouth, O Déforges
IEEE International Conference on Multimedia & Expo (ICME), 2020
102020
Fast stereo matching via graph cuts
SA Fezza, S Ouddane
International Workshop on Systems, Signal Processing and their Applications …, 2011
92011
HCiT: Deepfake video detection using a hybrid model of CNN features and vision transformer
B Kaddar, SA Fezza, W Hamidouche, Z Akhtar, A Hadid
2021 International Conference on Visual Communications and Image Processing …, 2021
82021
Color calibration of multi-view video plus depth for advanced 3D video
SA Fezza, MC Larabi
Signal, Image and Video Processing 9, 177-191, 2015
82015
Visual quality and security assessment of perceptually encrypted images based on multi-output deep neural network
SA Fezza, M Keita, W Hamidouche
2021 9th European Workshop on Visual Information Processing (EUVIP), 1-6, 2021
72021
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