2 citations · 2 across the 3 of their papers we have counts for
3 papers
RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification
Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene +2
In this paper, we introduce RAVID, the first framework for AI-generated image detection that leverages visual retrieval-augmented generation (RAG). While RAG methods have shown pro…
FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene +2
We introduce FIDAVL: Fake Image Detection and Attribution using a Vision-Language Model. FIDAVL is a novel and efficient mul-titask approach inspired by the synergies between visio…
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…