4 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space
Hui Ma, Sen Lei, Turgay Celik +1
Facial Expression Recognition (FER) plays a pivotal role in understanding human emotional cues. However, traditional FER methods based on visual information have some limitations,…