111 citations · 134 across the 16 of their papers we have counts for
9 papers · 1 filter
NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation
Pengwei Yin, Jiawu Dai, Jingjing Wang +2
Gaze estimation is the fundamental basis for many visual tasks. Yet, the high cost of acquiring gaze datasets with 3D annotations hinders the optimization and application of gaze e…
FBNet: Feedback Network for Point Cloud Completion
Xuejun Yan, Hongyu Yan, Jingjing Wang +5
The rapid development of point cloud learning has driven point cloud completion into a new era. However, the information flows of most existing completion methods are solely feedfo…
Point Cloud Upsampling via Cascaded Refinement Network
Hang Du, Xuejun Yan, Jingjing Wang +2
Point cloud upsampling focuses on generating a dense, uniform and proximity-to-surface point set. Most previous approaches accomplish these objectives by carefully designing a sing…
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…
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…
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…