A Versatile Multimodal Learning Framework for Zero-Shot Emotion Recognition-Reference-Cited by-同舟云学术

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A Versatile Multimodal Learning Framework for Zero-Shot Emotion Recognition

Published:2024-07 Issue:7 Volume:34 Page:5728-5741
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Qi Fan¹^ORCID,Zhang Huaiwen²^ORCID,Yang Xiaoshan³^ORCID,Xu Changsheng³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China

2. College of Computer Science, Inner Mongolia University, Hohhot, China

3. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Tianjin Natural Science Foundation

Natural Science Foundation of Inner Mongolia Autonomous Region

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10582818/10419371.pdf?arnumber=10419371

Reference98 articles.

1. Affective Computing for Large-scale Heterogeneous Multimedia Data

2. Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition

3. Temporal Relation Inference Network for Multimodal Speech Emotion Recognition

4. Semantic Alignment Network for Multi-Modal Emotion Recognition

5. Multi-modal learning for affective content analysis in movies

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