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.
Cross-attention transformer-based visual-language fu- sion for multimodal image analysis.International Journal of Applied Science, 8(1):p27–p27, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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.