Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition

Author:

Chen Shizhe1,Jin Qin1,Zhao Jinming1,Wang Shuai1

Affiliation:

1. Renmin University of China, Beijing, China

Funder

National Key Research and Development Plan

Publisher

ACM

Cited by 59 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. COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-02

2. Enhancing Dimensional Emotion Recognition from Speech through Modulation-Filtered Cochleagram and Parallel Attention Recurrent Network;Electronics;2023-11-12

3. JTMA: Joint Multimodal Feature Fusion and Temporal Multi-head Attention for Humor Detection;Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Humour and Personalisation;2023-10-29

4. Label Distribution Adaptation for Multimodal Emotion Recognition with Multi-label Learning;Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing;2023-10-29

5. Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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