4 citations · 7 across the 4 of their papers we have counts for
4 papers
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation
Tao Meng, Fuchen Zhang, Yuntao Shou +3
Since Multimodal Emotion Recognition in Conversation (MERC) can be applied to public opinion monitoring, intelligent dialogue robots, and other fields, it has received extensive re…
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
Tao Meng, Fuchen Zhang, Yuntao Shou +3
Efficiently capturing consistent and complementary semantic features in a multimodal conversation context is crucial for Multimodal Emotion Recognition in Conversation (MERC). Exis…
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion
Yuntao Shou, Tao Meng, Fuchen Zhang +2
Multi-modal Emotion Recognition in Conversation (MERC) has received considerable attention in various fields, e.g., human-computer interaction and recommendation systems. Most exis…
A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning
Wei Ai, FuChen Zhang, Tao Meng +3
In terms of human-computer interaction, it is becoming more and more important to correctly understand the user's emotional state in a conversation, so the task of multimodal emoti…