A staged multimodal fusion model for predicting six continuous emotion intensities from in-the-wild video achieves 0.4722 validation and 0.57 test Pearson correlation in the EMI challenge.
Multimodal emotion regression with multi- objective optimization and vad-aware audio modeling for the 10th abaw emi track.arXiv preprint arXiv:2603.13760
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This paper announces the structure and challenges of the 10th ABAW workshop and competition for affective and behavioral analysis in unconstrained environments.
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Two-Stage Multimodal Framework for Emotion Mimicry Intensity Prediction
A staged multimodal fusion model for predicting six continuous emotion intensities from in-the-wild video achieves 0.4722 validation and 0.57 test Pearson correlation in the EMI challenge.
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From Affect to Complex Behavior: Advancing Multimodal Human-Centered AI at the 10th ABAW Workshop & Competition
This paper announces the structure and challenges of the 10th ABAW workshop and competition for affective and behavioral analysis in unconstrained environments.