6 papers
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…
Second Competition on Presentation Attack Detection on ID Card
Juan E. Tapia, Mario Nieto, Juan M. Espin +30
This work summarises and reports the results of the second Presentation Attack Detection competition on ID cards. This new version includes new elements compared to the previous on…
HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims
Michiel van der Meer, Pavel Korshunov, Sébastien Marcel +1
Misinformation can be countered with fact-checking, but the process is costly and slow. Identifying checkworthy claims is the first step, where automation can help scale fact-check…
Review of Demographic Fairness in Face Recognition
Ketan Kotwal, Sebastien Marcel
Demographic fairness in face recognition (FR) has emerged as a critical area of research, given its impact on fairness, equity, and reliability across diverse applications. As FR t…