3 papers
cs.CV2026
Multi-Feature Fusion Approach for Generative AI Images Detection
Abderrezzaq Sendjasni, Mohamed-Chaker Larabi
The rapid evolution of Generative AI (GenAI) models has led to synthetic images of unprecedented realism, challenging traditional methods for distinguishing them from natural photo…
eess.IV2025
Embedding Similarity Guided License Plate Super Resolution
Abderrezzaq Sendjasni, Mohamed-Chaker Larabi
Super-resolution (SR) techniques play a pivotal role in enhancing the quality of low-resolution images, particularly for applications such as security and surveillance, where accur…
cs.CV2024
Embedding-Driven Data Distillation for 360-Degree IQA With Residual-Aware Refinement
Abderrezzaq Sendjasni, Seif-Eddine Benkabou, Mohamed-Chaker Larabi
This article identifies and addresses a fundamental bottleneck in data-driven 360-degree image quality assessment (IQA): the lack of intelligent, sample-level data selection. Hence…