A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition-Reference-Cited by-同舟云学术

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A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition

Published:2024-07 Issue:3 Volume:15 Page:1553-1566
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Zhang Xiaoheng¹^ORCID,Cui Weigang²^ORCID,Hu Bin³^ORCID,Li Yang¹^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

2. School of Engineering Medicine, Beihang University, Beijing, China

3. School of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu, China

Funder

National Natural Science Funds for Distinguished Young Scholar

Beijing Natural Science Foundation

National Key Research and Development Program of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Beijing United Imaging Research Institute of Intelligent Imaging Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5165369/10666803/10417143.pdf?arnumber=10417143

Reference50 articles.

1. EmoInt-Trans: A Multimodal Transformer for Identifying Emotions and Intents in Social Conversations

2. Adapted Dynamic Memory Network for Emotion Recognition in Conversation

3. CTNet: Conversational Transformer Network for Emotion Recognition

4. Enforcing Semantic Consistency for Cross Corpus Emotion Prediction using Adversarial Discrepancy Learning

5. Multimodal Sentiment Analysis With Image-Text Interaction Network

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