Two-Stage Multimodal Framework for Emotion Mimicry Intensity Prediction
arXiv cs.CV·Dinithi Dissanayake, Shaveen Silva, Ovindu Atukorala, Prasanth Sasikumar, Suranga Nanayakkara
15h agoQuick Take
A two-stage multimodal framework predicts emotion mimicry intensity using text, audio, and visual data.
Key Points
- Predicts six emotion intensity dimensions from video clips.
- Combines textual, acoustic, and visual representations.
- Achieved third place in the EMI challenge with 0.57 correlation.
Reader Mode unavailable (could not extract clean content).
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from arXiv cs.CV
See more →arXiv cs.CV·Jinhao Jing, Zheng Ma, Jinwei Liang, Qiannian Zhao, Shawn Chen, Jing Yang, Por Lip Yee, Prayag Tiwari, Jingjing Bai, Benyou Wang, Lewei Lu, Zhan Su
3d ago FeaturedOriginal
GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoning
AI Summary
GeoSym127K introduces a scalable neuro-symbolic framework for enhanced geometric reasoning in multimodal models.