ABSTRACT
Multimodal emotion recognition has become an important research topic due to its wide applications in human-computer interaction. Over the last few decades, the technology has made remarkable progress with the development of deep learning. However, existing technologies are hard to meet the demand for practical applications. To this end, we organize this workshop to bring together researchers in this field to further discuss recent research and future directions.
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- Zheng Lian, Haiyang Sun, Licai Sun, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, et al. Mer 2023: Multi-label learning, modality robustness, and semi-supervised learning. arXiv preprint arXiv:2304.08981, 2023.Google Scholar
Index Terms
- MRAC'23: 1st International Workshop on Multimodal and Responsible Affective Computing
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