Abdelmalik Taleb-Ahmed

Bi-LORA improves detection of AI-generated images using vision-language models.

D-TrAttUnet improves segmentation accuracy in medical imaging tasks.

This paper presents a new model for hyperspectral image classification using CNN and transformer techniques.

A method combining visual and language models identifies fake images effectively.

A new method simplifies pruning deep learning models using principles from physics.