3 papers
eess.AS2026
Dual-branch Graph Domain Adaptation for Cross-scenario Multi-modal Emotion Recognition
Yuntao Shou, Jun Zhou, Tao Meng +2
Multimodal Emotion Recognition in Conversations (MERC) aims to predict speakers' emotional states in multi-turn dialogues through text, audio, and visual cues. In real-world settin…
cs.AI2026
Dynamic Fusion-Aware Graph Convolutional Neural Network for Multimodal Emotion Recognition in Conversations
Tao Meng, Weilun Tang, Yuntao Shou +4
Multimodal emotion recognition in conversations (MERC) aims to identify and understand the emotions expressed by speakers during utterance interaction from multiple modalities (e.g…
cs.CV2026
Identity-Consistent Video Generation under Large Facial-Angle Variations
Bin Hu, Zipeng Qi, Guoxi Huang +6
Single-view reference-to-video methods often struggle to preserve identity consistency under large facial-angle variations. This limitation naturally motivates the incorporation of…