1 citations · 1 across the 4 of their papers we have counts for
4 papers
Semi-supervised Ranking for Object Image Blur Assessment
Qiang Li, Zhaoliang Yao, Jingjing Wang +4
Assessing the blurriness of an object image is fundamentally important to improve the performance for object recognition and retrieval. The main challenge lies in the lack of abund…
Weakly Supervised Regional and Temporal Learning for Facial Action Unit Recognition
Jingwei Yan, Jingjing Wang, Qiang Li +2
Automatic facial action unit (AU) recognition is a challenging task due to the scarcity of manual annotations. To alleviate this problem, a large amount of efforts has been dedicat…
Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression
Qiang Li, Jingjing Wang, Zhaoliang Yao +5
Learning from a label distribution has achieved promising results on ordinal regression tasks such as facial age and head pose estimation wherein, the concept of adaptive label dis…
Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition
Jingwei Yan, Boyuan Jiang, Jingjing Wang +3
In facial action unit (AU) recognition tasks, regional feature learning and AU relation modeling are two effective aspects which are worth exploring. However, the limited represent…