4 papers
Trend-Aware Supervision: On Learning Invariance for Semi-Supervised Facial Action Unit Intensity Estimation
Yingjie Chen, Jiarui Zhang, Tao Wang +1
With the increasing need for facial behavior analysis, semi-supervised AU intensity estimation using only keyframe annotations has emerged as a practical and effective solution to…
On Mitigating Hard Clusters for Face Clustering
Yingjie Chen, Huasong Zhong, Chong Chen +5
Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images. It remains challenging to identify small or sparse face image clust…
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
Yingjie Chen, Diqi Chen, Tao Wang +2
Subject-invariant facial action unit (AU) recognition remains challenging for the reason that the data distribution varies among subjects. In this paper, we propose a causal infere…
EventFormer: AU Event Transformer for Facial Action Unit Event Detection
Yingjie Chen, Jiarui Zhang, Tao Wang +1
Facial action units (AUs) play an indispensable role in human emotion analysis. We observe that although AU-based high-level emotion analysis is urgently needed by real-world appli…