activity
20232026
most citedFRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data

2 citations · 2 across the 8 of their papers we have counts for

collaborators

13 papers

cs.CV2026

Foundation and Multimodal Large Language Models for Face Presentation and Morph Attack Detection

Hatef Otroshi Shahreza, Asif Hussain Khan, Peter Lorenz +2

Face recognition systems are increasingly deployed in security-critical applications, yet they remain vulnerable to presentation and morph attacks. Presentation attack detection (P…

cs.CV2026

Improving Low-Resolution Face Recognition under Limited Data: How Synthetic Data Generation Can Close the Domain Gap

Luis S. Luevano, Ünsal Öztürk, Hatef Otroshi Shahreza +2

Face Recognition (FR) systems in surveillance settings often encounter Low Resolution (LR) faces, those whose face region falls below the standard 112 112 input size. Whil…

cs.CV2026

IJCB-AFMFR 2026: Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data

Tahar Chettaoui, Guray Ozgur, Eduarda Caldeira +13

This paper presents a summary of the Competition on Adapting Foundation Models for Face Recognition Using Synthetic Training Data (AFMFR), held at the 2026 International Joint Conf…

cs.CV2026

Evaluating Multimodal Large Language Models for Heterogeneous Face Recognition

Hatef Otroshi Shahreza, Anjith George, Sébastien Marcel

Multimodal Large Language Models (MLLMs) have recently demonstrated strong performance on a wide range of vision-language tasks, raising interest in their potential use for biometr…

cs.CV2025

Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning

Alain Komaty, Hatef Otroshi Shahreza, Anjith George +1

This study highlights the potential of ChatGPT (specifically GPT-4o) as a competitive alternative for Face Presentation Attack Detection (PAD), outperforming several PAD models, in…

cs.CV2024

Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data

Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi +56

Synthetic data is gaining increasing popularity for face recognition technologies, mainly due to the privacy concerns and challenges associated with obtaining real data, including…