Author

Fangling Jiang

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Preprint Aug 2026

Primitive-Driven Compositional Forensic Visual Prompting for Open-World Face Anti-Spoofing

This work proposes a compositional forensic visual prompt learning framework that operates entirely in the visual feature space and employs patch-aware attention to refine a shared set of learnable micro-forensic primitives into localized forensic evidence units derived from image patches.

Fangling Jiang, Qi Li, Bing Liu et al. · 0 citations