2 citations · 3 across the 4 of their papers we have counts for
4 papers
Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene +2
Advancements in deep image synthesis techniques, such as generative adversarial networks (GANs) and diffusion models (DMs), have ushered in an era of generating highly realistic im…
Knowledge-Based Convolutional Neural Network for the Simulation and Prediction of Two-Phase Darcy Flows
Zakaria Elabid, Daniel Busby, Abdenour Hadid
Physics-informed neural networks (PINNs) have gained significant prominence as a powerful tool in the field of scientific computing and simulations. Their ability to seamlessly int…
Harnessing the Power of Large Vision Language Models for Synthetic Image Detection
Mamadou Keita, Wassim Hamidouche, Hassen Bougueffa +2
In recent years, the emergence of models capable of generating images from text has attracted considerable interest, offering the possibility of creating realistic images from text…
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation
Trinetra Devkatte, Shiv Ram Dubey, Satish Kumar Singh +1
Facial super-resolution/hallucination is an important area of research that seeks to enhance low-resolution facial images for a variety of applications. While Generative Adversaria…