3 citations · 6 across the 8 of their papers we have counts for
8 papers
Multi-Scale Wavelet Transformer for Face Forgery Detection
Jie Liu, Jingjing Wang, Peng Zhang +3
Currently, many face forgery detection methods aggregate spatial and frequency features to enhance the generalization ability and gain promising performance under the cross-dataset…
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…
Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection
Yachun Li, Ying Lian, Jingjing Wang +3
Iris presentation attack detection (PAD) has achieved remarkable success to ensure the reliability and security of iris recognition systems. Most existing methods exploit discrimin…
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…
Learning Multiple Explainable and Generalizable Cues for Face Anti-spoofing
Ying Bian, Peng Zhang, Jingjing Wang +2
Although previous CNN based face anti-spoofing methods have achieved promising performance under intra-dataset testing, they suffer from poor generalization under cross-dataset tes…
Self-Supervised Regional and Temporal Auxiliary Tasks 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…
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…
Self-Domain Adaptation for Face Anti-Spoofing
Jingjing Wang, Jingyi Zhang, Ying Bian +3
Although current face anti-spoofing methods achieve promising results under intra-dataset testing, they suffer from poor generalization to unseen attacks. Most existing works adopt…