5 papers · 1 filter
Detecting Text Manipulation in Images using Vision Language Models
Vidit Vidit, Pavel Korshunov, Amir Mohammadi +3
Recent works have shown the effectiveness of Large Vision Language Models (VLMs or LVLMs) in image manipulation detection. However, text manipulation detection is largely missing i…
FantasyID: A dataset for detecting digital manipulations of ID-documents
Pavel Korshunov, Amir Mohammadi, Vidit Vidit +2
Advancements in image generation led to the availability of easy-to-use tools for malicious actors to create forged images. These tools pose a serious threat to the widespread Know…
Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data
Pavel Korshunov, Ketan Kotwal, Christophe Ecabert +3
Synthetic data has emerged as a promising alternative for training face recognition (FR) models, offering advantages in scalability, privacy compliance, and potential for bias miti…
Score Normalization for Demographic Fairness in Face Recognition
Yu Linghu, Tiago de Freitas Pereira, Christophe Ecabert +2
Fair biometric algorithms have similar verification performance across different demographic groups given a single decision threshold. Unfortunately, for state-of-the-art face reco…
SDFR: Synthetic Data for Face Recognition Competition
Hatef Otroshi Shahreza, Christophe Ecabert, Anjith George +25
Large-scale face recognition datasets are collected by crawling the Internet and without individuals' consent, raising legal, ethical, and privacy concerns. With the recent advance…