270 citations · 606 across the 20 of their papers we have counts for
29 papers · 1 filter
Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape
Xiangyu Zhu, Chang Yu, Di Huang +3
3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitud…
NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing
Zitong Yu, Jun Wan, Yunxiao Qin +3
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing methods heavily rely on the expert-designed networks, which may lead to a sub-optimal sol…
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…
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-…
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing
Ajian Liu, Zichang Tan, Xuan Li +4
Regardless of the usage of deep learning and handcrafted methods, the dynamic information from videos and the effect of cross-ethnicity are rarely considered in face anti-spoofing.…