6 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…
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…
Semi-Supervised Facial Expression Recognition based on Dynamic Threshold and Negative Learning
Zhongpeng Cai, Jun Yu, Wei Xu +3
Facial expression recognition is a key task in human-computer interaction and affective computing. However, acquiring a large amount of labeled facial expression data is often cost…
AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts
Jun Yu, Zerui Zhang, Zhihong Wei +6
Leveraging the synergy of both audio data and visual data is essential for understanding human emotions and behaviors, especially in in-the-wild setting. Traditional methods for in…
Exploring Facial Expression Recognition through Semi-Supervised Pretraining and Temporal Modeling
Jun Yu, Zhihong Wei, Zhongpeng Cai +6
Facial Expression Recognition (FER) plays a crucial role in computer vision and finds extensive applications across various fields. This paper aims to present our approach for the…
Efficient Feature Extraction and Late Fusion Strategy for Audiovisual Emotional Mimicry Intensity Estimation
Jun Yu, Wangyuan Zhu, Jichao Zhu
In this paper, we present the solution to the Emotional Mimicry Intensity (EMI) Estimation challenge, which is part of 6th Affective Behavior Analysis in-the-wild (ABAW) Competitio…