5 papers
Anchoring Emotions in Text: Robust Multimodal Fusion for Mimicry Intensity Estimation
Lingsi Zhu, Yuefeng Zou, Yunxiang Zhang +7
Estimating Emotional Mimicry Intensity (EMI) in naturalistic environments is a critical yet challenging task in affective computing. The primary difficulty lies in effectively mode…
Hierarchical Granularity Alignment and State Space Modeling for Robust Multimodal AU Detection in the Wild
Jun Yu, Yunxiang Zhang, Naixiang Zheng +2
Facial Action Unit (AU) detection in in-the-wild environments remains a formidable challenge due to severe spatial-temporal heterogeneity, unconstrained poses, and complex audio-vi…
Solution to the 10th ABAW Expression Recognition Challenge: A Robust Multimodal Framework with Safe Cross-Attention and Modality Dropout
Jun Yu, Naixiang Zheng, Guoyuan Wang +5
Emotion recognition in real-world environments is hindered by partial occlusions, missing modalities, and severe class imbalance. To address these issues, particularly for the Affe…
Technical Approach for the EMI Challenge in the 8th Affective Behavior Analysis in-the-Wild Competition
Jun Yu, Lingsi Zhu, Yanjun Chi +4
Emotional Mimicry Intensity (EMI) estimation plays a pivotal role in understanding human social behavior and advancing human-computer interaction. The core challenges lie in dynami…
Solution for 8th Competition on Affective & Behavior Analysis in-the-wild
Jun Yu, Yunxiang Zhang, Xilong Lu +3
In this report, we present our solution for the Action Unit (AU) Detection Challenge, in 8th Competition on Affective Behavior Analysis in-the-wild. In order to achieve robust and…