MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning-Reference-Cited by-同舟云学术

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Lian Zheng¹^ORCID,Sun Haiyang²^ORCID,Sun Licai³^ORCID,Chen Kang⁴^ORCID,Xu Mngyu⁵^ORCID,Wang Kexin⁵^ORCID,Xu Ke³^ORCID,He Yu³^ORCID,Li Ying⁶^ORCID,Zhao Jinming⁷^ORCID,Liu Ye⁸^ORCID,Liu Bin⁸^ORCID,Yi Jiangyan⁸^ORCID,Wang Meng⁹^ORCID,Cambria Erik¹⁰^ORCID,Zhao Guoying¹¹^ORCID,Schuller Björn W.¹²^ORCID,Tao Jianhua¹³^ORCID

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China

2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. University of Chinese Academy of Sciences, Beijing, China

4. Peking University, Beijing, China

5. Institute of Automation, CAS, Beijing, China

6. Shandong Normal University, Shandong, China

7. Renmin University of China, Beijing, China

8. Institute of Psychology, CAS, Beijing, China

9. Ant Group, Beijing, China

10. Nanyang Technological University, Singapore, Singapore

11. University of Oulu, Oulu, Finland

12. Imperial College London, London, United Kingdom

13. Tsinghua University, Beijing, China

Funder

CCF-Baidu Open Fund

Open Research Projects of Zhejiang Lab

National Natural Science Foundation of China (NSFC)

Beijing Municipal Science \& Technology Commission, Administrative Commission of Zhongguancun Science Park

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612836

Reference43 articles.

1. Samira Ebrahimi Kahou , Vincent Michalski , Kishore Konda , Roland Memisevic , and Christopher Pal . Recurrent neural networks for emotion recognition in video . In Proceedings of the International Conference on Multimodal Interaction , pages 467 -- 474 , 2015 . Samira Ebrahimi Kahou, Vincent Michalski, Kishore Konda, Roland Memisevic, and Christopher Pal. Recurrent neural networks for emotion recognition in video. In Proceedings of the International Conference on Multimodal Interaction, pages 467--474, 2015.

2. EmoNets: Multimodal deep learning approaches for emotion recognition in video

3. Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

4. IEMOCAP: interactive emotional dyadic motion capture database

5. Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding Naturalistic Facial Expressions with Deep Learning and Multimodal Large Language Models;Sensors;2023-12-26