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.
Anchoring emotions in text: Robust multimodal fusion for mimicry intensity estimation
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
This paper announces the structure and challenges of the 10th ABAW workshop and competition for affective and behavioral analysis in unconstrained environments.
citing papers explorer
-
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.
-
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.