3 papers
cs.CV2026
Micro-AU CLIP: Fine-Grained Contrastive Learning from Local Independence to Global Dependency for Micro-Expression Action Unit Detection
Jinsheng Wei, Fengzhou Guo, Yante Li +3
Micro-expression (ME) action units (Micro-AUs) provide objective clues for fine-grained genuine emotion analysis. Most existing Micro-AU detection methods learn AU features from th…
cs.CV2025
Spoof Trace Discovery for Deep Learning Based Explainable Face Anti-Spoofing
Haoyuan Zhang, Xiangyu Zhu, Li Gao +4
With the rapid growth usage of face recognition in people's daily life, face anti-spoofing becomes increasingly important to avoid malicious attacks. Recent face anti-spoofing mode…
cs.CV2025
CodePhys: Robust Video-based Remote Physiological Measurement through Latent Codebook Querying
Shuyang Chu, Menghan Xia, Mengyao Yuan +4
Remote photoplethysmography (rPPG) aims to measure non-contact physiological signals from facial videos, which has shown great potential in many applications. Most existing methods…