MIA-Net: Multi-Modal Interactive Attention Network for Multi-Modal Affective Analysis-Reference-Cited by-同舟云学术

MIA-Net: Multi-Modal Interactive Attention Network for Multi-Modal Affective Analysis

Published:2023-10-01 Issue:4 Volume:14 Page:2796-2809
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Li Shuzhen¹,Zhang Tong¹^ORCID,Chen Bianna¹,Chen C. L. Philip¹^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Guangdong Natural Science Funds for Distinguished Young Scholar

Program for Guangdong Introducing Innovative and Entrepreneurial Teams

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/10330166/10076804.pdf?arnumber=10076804

Reference94 articles.

1. Data Augmentation via Face Morphing for Recognizing Intensities of Facial Emotions

2. CTNet: Conversational Transformer Network for Emotion Recognition

3. Facial Expression Recognition with Identity and Emotion Joint Learning

4. Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition

5. Feature Pooling of Modulation Spectrum Features for Improved Speech Emotion Recognition in the Wild

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