activity
20182021
most citedSearching for Alignment in Face Recognition

3 citations · 3 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 3 cited

Searching for Alignment in Face Recognition

Xiaqing Xu, Qiang Meng, Yunxiao Qin +4

A standard pipeline of current face recognition frameworks consists of four individual steps: locating a face with a rough bounding box and several fiducial landmarks, aligning the…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020

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-…

cs.CV2019

Improving Face Anti-Spoofing by 3D Virtual Synthesis

Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao +3

Face anti-spoofing is crucial for the security of face recognition systems. Learning based methods especially deep learning based methods need large-scale training samples to reduc…

cs.CV2018

Face Synthesis for Eyeglass-Robust Face Recognition

Jianzhu Guo, Xiangyu Zhu, Zhen Lei +1

In the application of face recognition, eyeglasses could significantly degrade the recognition accuracy. A feasible method is to collect large-scale face images with eyeglasses for…