Performance Analysis of Software to Hardware Task Migration in Codesign - Dorsaf Sebai; Abderrazak Jemai; Imed Bennour (CoRR, 2010)

Piece-wise linear function estimation for platelet-based depth maps coding using edge detection. - Dorsaf Sebai; Faten Chaieb; Khaled Mamou; Faouzi Ghorbel (Three-Dimensional Image Processing (3DIP) and Applications, 2012)

Progressive edge-preserving depth maps coding based on sparse representation. - Dorsaf Sebai; Faten Chaieb; Faouzi Ghorbel (3DTV-Conference, 2012)

Tuned sparse depth map coding using redundant predefined transform domain. - Dorsaf Sebai; Faten Chaieb; Khaled Mamou; Faouzi Ghorbel (ICIP, 2012)

Adaptive sparse representation of depth maps targeting view synthesis quality. - Dorsaf Sebai; Faten Chaieb; Faouzi Ghorbel (MMSP, 2013)

Tuned depth signal analysis on merged transform domain for view synthesis in free viewpoint systems. - Faten Chaieb; Dorsaf Sebai; Faouzi Ghorbel (IET Image Process., 2015)

Depth Maps Fast Scalable Compression Based On Coding Unit Depth. - Sonia Mosbah; Dorsaf Sebai; Faouzi Ghorbel (ICIP, 2020)

MPEG-DASH users quality of experience enhancement for MOOC videos. - Dorsaf Sebai; Emna Mani (ISM, 2020)

Performance Analysis of HEVC Scalable Extension for Depth Maps. - Dorsaf Sebai (J. Signal Process. Syst., 2020)

Multi-rate deep semantic image compression with quantized modulated autoencoder. - Dorsaf Sebai (MMSP, 2021)

Conditional Quantization for SHVC Quality Scalability of Depth Maps. - Sonia Mosbah; Dorsaf Sebai; Faouzi Ghorbel (TSP, 2021)

Edge-aware coding tree unit hierarchical partitioning for quality scalable compression of depth maps. - Dorsaf Sebai; Sonia Mosbah; Faouzi Ghorbel (Multim. Syst., 2021)

MPEG-DASH parametrisation for adaptive online streaming of different MOOC videos categories. - Dorsaf Sebai; E. Manai (Multim. Tools Appl., 2021)

Sparse Representations-based depth images quality assessment. - Dorsaf Sebai; Maryem Sehli; Faouzi Ghorbel (Vis. Informatics, 2021)

WeLDCFNet: Convolutional Neural Network based on Wedgelet Filters and Learnt Deep Correlation Features for depth maps features extraction. - Mariem Sehli; Dorsaf Sebai; Faouzi Ghorbel (MMSP, 2022)

Effects of Deep Generative AutoEncoder Based Image Compression on Face Attribute Recognition: A Comprehensive Study. - Ahmed Baha Ben Jmaa; Dorsaf Sebai (MoMM, 2023)

Learning end-to-end depth maps compression with conditional quality-controllable autoencoder. - Dorsaf Sebai; Mariem Sehli; Faouzi Ghorbel (VCIP, 2023)

Study of Coding Units Depth for Depth Maps Quality Scalable Compression Using SHVC. - Dorsaf Sebai; Faouzi Ghorbel; Sounia Messbahi (VISIGRAPP (4: VISAPP), 2023)

Internet of Things and Cloud Convergence for eHealth Systems: Concepts, Opportunities, and Challenges. - Arif Ullah; Hanane Aznaoui; Dorsaf Sebai; Laith Abualigah; Tanweer Alam; Aziza Chakir (Wirel. Pers. Commun., 2023)

Semantic-oriented learning-based image compression by Only-Train-Once quantized autoencoders. - Dorsaf Sebai; A. Ulah Shah (Signal Image Video Process., 2023)

SNR scalable coding of depth maps using contour-centric SHVC enhancement sublayers. - Dorsaf Sebai; Sonia Mosbah; Faouzi Ghorbel (Signal Image Video Process., 2023)

End-to-End Variable-Rate Learning-Based Depth Compression Guided by Deep Correlation Features. - Dorsaf Sebai; Maryem Sehli; Faouzi Ghorbel (J. Signal Process. Syst., 2024)

Seismic data compression: an overview. - Dorsaf Sebai; Manel Zouaoui; Faouzi Ghorbel (Multim. Syst., 2024)

A Hybrid Strategy for Reduction in Time Consumption for Cloud Datacenter Using HMBC Algorithm. - Arif Ullah; Tanweer Alam; Aziza Chakir; Dorsaf Sebai; Laith Abualigah (Wirel. Pers. Commun., 2024)