Cross-Modal Alignment for Robust Multimodal Fusion in Conversational Emotion Recognition
Under review
Research approach
Represents dialogues as heterogeneous graphs and learns emotion representations through masked reconstruction and neighborhood-based cross-modal alignment.
Results
Evaluates MELD pretraining, transfer to IEMOCAP and missing input modalities.
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