3 papers
cs.CV2026
DINO-VPT: Hierarchical Visual Prompt Tuning for Joint Physical-Digital Face Anti-Spoofing
Pierre Gallin-Martel, Mika Feng, Koichi Ito +1
With the increasing diversity of spoofing attacks, there is a growing demand for unified Face Anti-Spoofing (FAS) models capable of detecting both physical and digital threats. Whi…
cs.CV2026
Benchmarking Vision Foundation Models for Domain-Generalizable Face Anti-Spoofing
Mika Feng, Pierre Gallin-Martel, Koichi Ito +1
Face Anti-Spoofing (FAS) remains challenging due to the requirement for robust domain generalization across unseen environments. While recent trends leverage Vision-Language Models…
cs.CV2025
Optimizing DINOv2 with Registers for Face Anti-Spoofing
Mika Feng, Pierre Gallin-Martel, Koichi Ito +1
Face recognition systems are designed to be robust against variations in head pose, illumination, and image blur during capture. However, malicious actors can exploit these systems…