Siyu Zhan

TiCAL:Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition

Multimodal Emotion Recognition (MER) aims to accurately identify human emotional states by integrating heterogeneous modalities such as visual, auditory, and textual data. Existing approaches predominantly rely on unified emotion labels to supervise model training, often overlooking a critical chall