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Achieve state-of-the-art robustness in conversational emotion recognition by distilling knowledge from a complete-view teacher model, even when modalities are missing or conflicting.
Explicitly modeling the dependency between dialogue context and current utterance as an "interpretation cue" significantly boosts conversational multimodal understanding.
Ditch the blur: a physics-inspired neural operator uses frequency domain processing and Euler's formula to fuse panchromatic and multispectral images with unprecedented sharpness and speed.
