4 citations · 7 across the 4 of their papers we have counts for
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cs.CL2024★ 4 cited
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…
cs.CL2024★ 2 cited
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…
cs.CL2024★ 1 cited
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…