most citedReview of Demographic Fairness in Face Recognition

14 citations · 18 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2025

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…

cs.CV2025

Identity-Preserving Aging and De-Aging of Faces in the StyleGAN Latent Space

Luis S. Luevano, Pavel Korshunov, Sebastien Marcel

Face aging or de-aging with generative AI has gained significant attention for its applications in such fields like forensics, security, and media. However, most state of the art m…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.AI2025

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…

cs.CV2025★ 14 cited

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…

cs.CV2024★ 2 cited

VRBiom: A New Periocular Dataset for Biometric Applications of HMD

Ketan Kotwal, Ibrahim Ulucan, Gokhan Ozbulak +2

With advancements in hardware, high-quality HMD devices are being developed by numerous companies, driving increased consumer interest in AR, VR, and MR applications. In this work,…

cs.CV2024★ 2 cited

- An Open Source Modular Platform for Contactless Hand Vascular Biometric Experiments

David Geissbühler, Sushil Bhattacharjee, Ketan Kotwal +2

Current finger-vein or palm-vein recognition systems usually require direct contact of the subject with the apparatus. This can be problematic in environments where hygiene is of p…