17 citations · 26 across the 20 of their papers we have counts for
22 papers · 1 filter
SynThermFace: Amplifying Limited Paired Data for Visible-Thermal Face Recognition via Synthetic Data Generation
Anjith George, Adam Unal, Sebastien Marcel
Face recognition (FR) is a widely used modality for biometric authentication, but conventional models rely on visible-spectrum imagery and degrade when high-quality RGB images cann…
LoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection
Peter Lorenz, Anjith George, Marcel Sébastien
Face presentation attack detection (PAD) aims to reliably detect a wide range of presentation attacks. While PAD methods achieve strong performance within individual datasets, thei…
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…
GaitFace: A Multimodal Dataset for Long-Range Person Identification
Alain Komaty, Luis S. Luevano, Vidit Vidit +3
Efficient border control is becoming a significant global challenge, mainly due to severe congestion and extended passenger waiting times. To mitigate these bottlenecks and facilit…
DriveFace: A Cross-Spectral Through-Glass Face Dataset for On-the-Move Vehicular Border Control
Anjith George, Luis S. Luevano, Alain Komaty +3
The continuous growth in cross-border mobility places increasing pressure on existing border control infrastructures, motivating on-the-move biometric authentication, in which trav…
Lightweight Cross-Spectral Face Recognition via Contrastive Alignment and Distillation
Anjith George, Sebastien Marcel
Heterogeneous Face Recognition (HFR) aims at matching face images captured across different sensing modalities, such as thermal-to-visible or near-infrared-to-visible, enhancing th…