13 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.CL2022
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database
Jinming Zhao, Tenggan Zhang, Jingwen Hu +4
The emotional state of a speaker can be influenced by many different factors in dialogues, such as dialogue scene, dialogue topic, and interlocutor stimulus. The currently availabl…
cs.CV2022★ 13 cited
Multi-modal Emotion Estimation for in-the-wild Videos
Liyu Meng, Yuchen Liu, Xiaolong Liu +5
In this paper, we briefly introduce our submission to the Valence-Arousal Estimation Challenge of the 3rd Affective Behavior Analysis in-the-wild (ABAW) competition. Our method uti…
cs.CL2021★ 5 cited
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
Jingwen Hu, Yuchen Liu, Jinming Zhao +1
Emotion recognition in conversation (ERC) is a crucial component in affective dialogue systems, which helps the system understand users' emotions and generate empathetic responses.…