Optimized Lifting Scheme Based on A Dynamical Fully Connected Network for Image Coding. - Tassnim Dardouri; Mounir Kaaniche; Amel Benazza-Benyahia; Jean-Christophe Pesquet (ICIP, 2020)

A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders. - Tassnim Dardouri; Mounir Kaaniche; Amel Benazza-Benyahia; Jean-Christophe Pesquet; Gabriel Dauphin (ICIP, 2021)

Dynamic Neural Network for Lossy-to-Lossless Image Coding. - Tassnim Dardouri; Mounir Kaaniche; Amel Benazza-Benyahia; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2022)

NNCD-IQA: A new neural networks based compressed database for image quality assessment. - Zohaib Amjad Khan; Tassnim Dardouri; Mounir Kaaniche; Gabriel Dauphin (Multim. Tools Appl., 2023)

Graphical user interface agents optimization for visual instruction grounding using multi-modal artificial intelligence systems. - Tassnim Dardouri; Laura Minkova; Jessica López Espejel; Walid Dahhane; El Hassane Ettifouri (CoRR, 2024)

Joint Learning of Fully Connected Network Models in Lifting Based Image Coders. - Tassnim Dardouri; Mounir Kaaniche; Amel Benazza-Benyahia; Gabriel Dauphin; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2024)

Multi-task convolution neural network-based lifting scheme for image compression. - Tassnim Dardouri; Mounir Kaaniche; Amel Benazza-Benyahia; Gabriel Dauphin (Pattern Recognit. Lett., 2025)