From the 1 of 17 linked papers with an AI index.
17 papers
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…
Foundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark
Peter Lorenz, Anjith George, Sébastien Marcel
The paper benchmarks frozen vision foundation models for face presentation attack detection using a linear-probing protocol, finding strong intra-dataset performance but limited cr…
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…
Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification
Ãnsal Ãztürk, Hatef Otroshi Shahreza, Sébastien Marcel
Multimodal Large Language Models (MLLMs) have recently been explored as face verification systems that determine whether two face images are of the same person. Unlike dedicated fa…
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…
Benchmarking Multimodal Large Language Models for Face Recognition
Hatef Otroshi Shahreza, Sébastien Marcel
Multimodal large language models (MLLMs) have achieved remarkable performance across diverse vision-and-language tasks. However, their potential in face recognition remains underex…