New Prediction Structure for Stereoscopic Video Coding Based on the H.264/AVC Standard. - Sid Ahmed Fezza; Kamel Mohamed Faraoun (DICTAP (1), 2011)

Coding and rendering enhancement of multi-view video by color correction. - Sid Ahmed Fezza; Mohamed-Chaker Larabi; Kamel Mohamed Faraoun (EUVIP, 2013)

No-reference perceptual blur metric for stereoscopic images. - Sid Ahmed Fezza; Mohamed-Chaker Larabi (IC3D, 2014)

Asymmetric coding using Binocular Just Noticeable Difference and depth information for stereoscopic 3D. - Sid Ahmed Fezza; Mohamed-Chaker Larabi; Kamel Mohamed Faraoun (ICASSP, 2014)

Stereoscopic 3D image quality assessment based on cyclopean view and depth map. - Sid Ahmed Fezza; Mohamed-Chaker Larabi (ICCE-Berlin, 2014)

Stereoscopic image quality metric based on local entropy and binocular just noticeable difference. - Sid Ahmed Fezza; Mohamed-Chaker Larabi; Kamel Mohamed Faraoun (ICIP, 2014)

Asymmetric coding of stereoscopic 3D based on perceptual significance. - Sid Ahmed Fezza; Mohamed-Chaker Larabi; Kamel Mohamed Faraoun (ICIP, 2014)

Feature-Based Color Correction of Multiview Video for Coding and Rendering Enhancement. - Sid Ahmed Fezza; Mohamed-Chaker Larabi; Kamel Mohamed Faraoun (IEEE Trans. Circuits Syst. Video Technol., 2014)

Color calibration of multi-view video plus depth for advanced 3D video. - Sid Ahmed Fezza; Mohamed-Chaker Larabi (Signal Image Video Process., 2015)

Universal blind image quality assessment for stereoscopic images. - Sid Ahmed Fezza; Aladine Chetouani; Mohamed-Chaker Larabi (3DTV-Conference, 2016)

Adaptive colorization-based compression for stereoscopic images. - Samira Ouddane; Kamel Mohamed Faraoun; Sid Ahmed Fezza; Mohamed-Chaker Larabi (3DTV-Conference, 2016)

Towards light-compensated saliency prediction for omnidirectional images. - Sourodeep Biswas; Sid Ahmed Fezza; Mohamed-Chaker Larabi (IPTA, 2017)

Using distortion and asymmetry determination for blind stereoscopic image quality assessment strategy. - Sid Ahmed Fezza; Aladine Chetouani; Mohamed-Chaker Larabi (J. Vis. Commun. Image Represent., 2017)

Perceptually Driven Nonuniform Asymmetric Coding of Stereoscopic 3D Video. - Sid Ahmed Fezza; Mohamed-Chaker Larabi (IEEE Trans. Circuits Syst. Video Technol., 2017)

Quality Assessment of Out-of-Focus Blurred Images Based on Objects Depth Ordering and Saliency. - Sid Ahmed Fezza; Mohamed-Chaker Larabi (IQSP, 2018)

RDO-Based Light Field Image Coding Using Convolutional Neural Networks and Linear Approximation. - Nader Bakir; Wassim Hamidouche; Olivier Déforges; Khouloud Samrouth; Sid Ahmed Fezza; Mohamad Khalil (DCC, 2019)

Subjective Evaluation of Light Field Image Compression Methods based on View Synthesis. - Nader Bakir; Sid Ahmed Fezza; Wassim Hamidouche; Khouloud Samrouth; Olivier Déforges (EUSIPCO, 2019)

Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification. - Sid Ahmed Fezza; Yassine Bakhti; Wassim Hamidouche; Olivier Déforges (QoMEX, 2019)

Visual Security Assessment of Selective Video Encryption. - Sid Ahmed Fezza; Wassim Hamidouche; Reda Abdellah Kamraoui; Olivier Déforges (QoMEX, 2019)

DDSA: A Defense Against Adversarial Attacks Using Deep Denoising Sparse Autoencoder. - Yassine Bakhti; Sid Ahmed Fezza; Wassim Hamidouche; Olivier Déforges (IEEE Access, 2019)

Light Field Image Coding Using Dual Discriminator Generative Adversarial Network And VVC Temporal Scalability. - Nader Bakir; Wassim Hamidouche; Sid Ahmed Fezza; Khouloud Samrouth; Olivier Déforges (ICME, 2020)

Effect of Video Transcoding Parameters on Visual Object Tracking for Surveillance Systems. - Taieb Chachou; Sid Ahmed Fezza; Ghalem Belalem; Wassim Hamidouche (ICME Workshops, 2020)

Detection of Adversarial Examples in Deep Neural Networks with Natural Scene Statistics. - Anouar Kherchouche; Sid Ahmed Fezza; Wassim Hamidouche; Olivier Déforges (IJCNN, 2020)

Extending 2D Saliency Models for Head Movement Prediction in 360-Degree Images using CNN-Based Fusion. - Ibrahim Djemai; Sid Ahmed Fezza; Wassim Hamidouche; Olivier Déforges (ISCAS, 2020)

Natural Scene Statistics for Detecting Adversarial Examples in Deep Neural Networks. - Anouar Kherchouche; Sid Ahmed Fezza; Wassim Hamidouche; Olivier Déforges (MMSP, 2020)

EGB: Image Quality Assessment Based on Ensemble of Gradient Boosting. - Dounia Hammou; Sid Ahmed Fezza; Wassim Hamidouche (CVPR Workshops, 2021)

Visual Quality and Security Assessment of Perceptually Encrypted Images Based on Multi-Output Deep Neural Network. - Sid Ahmed Fezza; Mamadou Keita; Wassim Hamidouche (EUVIP, 2021)

HCiT: Deepfake Video Detection Using a Hybrid Model of CNN features and Vision Transformer. - Bachir Kaddar; Sid Ahmed Fezza; Wassim Hamidouche; Zahid Akhtar; Abdenour Hadid (VCIP, 2021)

Adversarial Example Detection for DNN Models: A Review. - Ahmed Aldahdooh; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges (CoRR, 2021)

NTIRE 2021 Challenge on Perceptual Image Quality Assessment. - Jinjin Gu; Haoming Cai; Chao Dong 005; Jimmy S. Ren; Yu Qiao 001; Shuhang Gu; Radu Timofte; Manri Cheon; Sung-Jun Yoon; Byungyeon Kang; Junwoo Lee; Qing Zhang; et al. (CoRR, 2021)

Light Field Image Coding Using VVC Standard and View Synthesis Based on Dual Discriminator GAN. - Nader Bakir; Wassim Hamidouche; Sid Ahmed Fezza; Khouloud Samrouth; Olivier Déforges (IEEE Trans. Multim., 2021)

Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection. - Sid Ahmed Fezza; Mohammed Yasser Ouis; Bachir Kaddar; Wassim Hamidouche; Abdenour Hadid (MMSP, 2022)

Visual Security Evaluation of Perceptually Encrypted Images based on Multi-Task Learning. - Mamadou Keita; Sid Ahmed Fezza; Wassim Hamidouche; Azeddine Beghdadi (MMSP, 2022)

Benchmarking Learning-based Bitrate Ladder Prediction Methods for Adaptive Video Streaming. - Ahmed Telili; Wassim Hamidouche; Sid Ahmed Fezza; Luce Morin (PCS, 2022)

Adversarial example detection for DNN models: a review and experimental comparison. - Ahmed Aldahdooh; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges (Artif. Intell. Rev., 2022)

Deep multi-task learning for image/video distortions identification. - Zoubida Ameur; Sid Ahmed Fezza; Wassim Hamidouche (Neural Comput. Appl., 2022)

Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising. - Anouar Kherchouche; Sid Ahmed Fezza; Wassim Hamidouche (Neural Comput. Appl., 2022)

Hardware-Friendly Multiple Transform Selection Module for the VVC Standard. - Wassim Hamidouche; Pierrick Philippe; Sid Ahmed Fezza; Mounir Haddou; Fernando Pescador; Daniel Ménard (IEEE Trans. Consumer Electron., 2022)

Evaluating the Vulnerability of Deep Learning-based Image Quality Assessment Methods to Adversarial Attacks. - Hanene Brachemi Meftah; Sid Ahmed Fezza; Wassim Hamidouche; Olivier Déforges (EUVIP, 2023)

Efficient Per-Shot Transformer-Based Bitrate Ladder Prediction for Adaptive Video Streaming. - Ahmed Telili; Wassim Hamidouche; Sid Ahmed Fezza; Luce Morin (ICIP, 2023)

Energy Consumption and Carbon Footprint of Modern Video Decoding Software. - Taieb Chachou; Wassim Hamidouche; Sid Ahmed Fezza; Ghalem Belalem (MMSP, 2023)

NTIRE 2023 Quality Assessment of Video Enhancement Challenge. - Xiaohong Liu 001; Xiongkuo Min; Wei Sun 029; Yulun Zhang 001; Kai Zhang 008; Radu Timofte; Guangtao Zhai; Yixuan Gao; Yuqin Cao; Tengchuan Kou; Yunlong Dong; Ziheng Jia; et al. (CoRR, 2023)

On the effectiveness of handcrafted features for deepfake video detection. - Bachir Kaddar; Sid Ahmed Fezza; Wassim Hamidouche; Zahid Akhtar; Abdenour Hadid (J. Electronic Imaging, 2023)

2BiVQA: Double Bi-LSTM-based Video Quality Assessment of UGC Videos. - Ahmed Telili; Sid Ahmed Fezza; Wassim Hamidouche; Hanene Brachemi Meftah (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Energy Consumption and Carbon Emissions of Modern Software Video Encoders. - Taieb Chachou; Wassim Hamidouche; Sid Ahmed Fezza; Ghalem Belalem (IEEE Consumer Electron. Mag., 2024)

Deepfake Detection Using Spatiotemporal Transformer. - Bachir Kaddar; Sid Ahmed Fezza; Zahid Akhtar; Wassim Hamidouche; Abdenour Hadid; Joan Serra-Sagristà (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Energy Backdoor Attack to Deep Neural Networks. - Hanene F. Z. Brachemi Meftah; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges; Kassem Kallas (ICASSP, 2025)

Energy-Latency Attacks: A New Adversarial Threat to Deep Learning. - Hanene F. Z. Brachemi Meftah; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges (CoRR, 2025)

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models. - Hanene F. Z. Brachemi Meftah; Wassim Hamidouche; Sid Ahmed Fezza; Olivier Déforges (CoRR, 2025)

Convex Hull Prediction Methods for Bitrate Ladder Construction: Design, Evaluation, and Comparison. - Ahmed Telili; Wassim Hamidouche; Hadi Amirpour; Sid Ahmed Fezza; Christian Timmerer; Luce Morin (ACM Trans. Multim. Comput. Commun. Appl., 2025)