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From the 2 of 21 linked papers with an AI index.

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20242026
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cs.CV2026

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…

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

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…

cs.CV2026

DriveFace: A Cross-Spectral Through-Glass Face Dataset for On-the-Move Vehicular Border Control

Anjith George, Luis Luevano, Luis S. Luevano +4

The paper presents DriveFace, a new dataset of near‑infrared videos captured through vehicle windows for on‑the‑move face recognition at border checkpoints, paired with smartphone…

cs.CV2026

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…

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…