3 accepted papers
Multimodal emotion recognition (MER) is important for building humanoid chatbots and has gained increasing attention in recent years. Existing studies have proven that extracting better modality-specific representations, which keep both commonality and individuality information of different modaliti…
Multimodal learning is susceptible to modality missing, which poses a major obstacle for its practical applications and, thus, invigorates increasing research interest. In this paper, we investigate two challenging problems: 1) when modality missing exists in the training data, how to exploit the in…
Multi-modal emotion recognition has gained increasing attention in recent years due to its widespread applications and the advances in multi-modal learning approaches. However, previous studies primarily focus on developing models that exploit the unification of multiple modalities. In this paper, w…