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Liepiao Zhang

2 accepted papers

2026

FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models

AAAI 2026technical

Face anti-spoofing (FAS) is crucial for protecting facial recognition systems from presentation attacks. Previous methods approached this task as a classification problem, lacking interpretability and reasoning behind the predicted results. Recently, multimodal large language models (MLLMs) have sho

Cited by 0SourcePDFScholar
2025

DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing

ICCV 2025poster

With the availability of diverse sensor modalities (i.e., RGB, Depth, Infrared) and the success of multi-modal learning, multi-modal face anti-spoofing (FAS) has emerged as a prominent research focus. The intuition behind it is that leveraging multiple modalities can uncover more intrinsic spoofing…