Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
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Updated
May 18, 2022 - Python
Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
Official repository of the paper Face Presentation Attack Detection by Eacavating Causal Clues and Adapting Embedding Statistics
The official implementation of the paper "Tomatoes, Potatoes, and Onions: Questioning the Need for Faces in Face Presentation Attack Detection", accepted at ACM Multimedia 2026 Workshops.
Built an AI model that determines whether the face of the person sitting in front of the webcam is Real or Fake by using Transfer Learning and TSBTC (Thepade’s Sorted Bock Truncation Encoding).
Open-source face anti-spoofing model comparison web app with multi-model inference, per-model preprocessing, and result overlays.
Vision Transformer (ViT) model for Face Anti-Spoofing — detects presentation attacks (photos, videos, masks) in real-time. PyTorch · Computer Vision · Biometric Security
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