4 papers
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…
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…
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…
Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing
Mika Feng, Koichi Ito, Takafumi Aoki +2
Face recognition systems are designed to be robust against changes in head pose, illumination, and blurring during image capture. If a malicious person presents a face photo of the…