3 papers
cs.CV2026
AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection
Zhishu Liu, Kaishen Yuan, Bo Zhao +2
Micro-expression Action Unit (AU) detection identifies localized AUs from subtle facial muscle activations, providing a foundation for decoding affective cues. Previous methods fac…
cs.CV2026
DeceptionX: From Multimodal Evidence to Explainable Deception Detection
Jiayu Zhang, Shuo Ye, Jiajian Huang +8
Deception detection is a critical and highly challenging task within affective computing and behavioral analysis. Existing deep learning methods typically treat this task as a stra…
cs.CV2026
Complementarity-Supervised Spectral-Band Routing for Multimodal Emotion Recognition
Zhexian Huang, Bo Zhao, Hui Ma +5
Multimodal emotion recognition fuses cues such as text, video, and audio to understand individual emotional states. Prior methods face two main limitations: mechanically relying on…