112 citations · 362 across the 23 of their papers we have counts for
7 papers · 1 filter
Towards Fast, Accurate and Stable 3D Dense Face Alignment
Jianzhu Guo, Xiangyu Zhu, Yang Yang +3
Existing methods of 3D dense face alignment mainly concentrate on accuracy, thus limiting the scope of their practical applications. In this paper, we propose a novel regression fr…
SADet: Learning An Efficient and Accurate Pedestrian Detector
Chubin Zhuang, Zhen Lei, Stan Z. Li
Although the anchor-based detectors have taken a big step forward in pedestrian detection, the overall performance of algorithm still needs further improvement for practical applic…
Semi-Siamese Training for Shallow Face Learning
Hang Du, Hailin Shi, Yuchi Liu +4
Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, provide abundant information in both breadth (large number of IDs) and depth (sufficient number of samples) fo…
Multi-Modal Face Anti-Spoofing Based on Central Difference Networks
Zitong Yu, Yunxiao Qin, Xiaobai Li +4
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks. Existing multi-modal FAS methods rely on stacked vanilla convolutions, w…
Domain Balancing: Face Recognition on Long-Tailed Domains
Dong Cao, Xiangyu Zhu, Xingyu Huang +2
Long-tailed problem has been an important topic in face recognition task. However, existing methods only concentrate on the long-tailed distribution of classes. Differently, we dev…
Learning Meta Face Recognition in Unseen Domains
Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao +3
Face recognition systems are usually faced with unseen domains in real-world applications and show unsatisfactory performance due to their poor generalization. For example, a well-…