32 citations · 52 across the 6 of their papers we have counts for
6 papers
Seeing through the Mask: Multi-task Generative Mask Decoupling Face Recognition
Zhaohui Wang, Sufang Zhang, Jianteng Peng +2
The outbreak of COVID-19 pandemic make people wear masks more frequently than ever. Current general face recognition system suffers from serious performance degradation,when encoun…
AdvFAS: A robust face anti-spoofing framework against adversarial examples
Jiawei Chen, Xiao Yang, Heng Yin +6
Ensuring the reliability of face recognition systems against presentation attacks necessitates the deployment of face anti-spoofing techniques. Despite considerable advancements in…
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training
Shouwei Ruan, Yinpeng Dong, Hang Su +3
Visual recognition models are not invariant to viewpoint changes in the 3D world, as different viewing directions can dramatically affect the predictions given the same object. Alt…
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization
Zhaoxia Yin, Shaowei Zhu, Hang Su +3
Deep Neural Networks (DNNs) have recently made significant progress in many fields. However, studies have shown that DNNs are vulnerable to adversarial examples, where imperceptibl…
A Survey of Face Recognition
Xinyi Wang, Jianteng Peng, Sufang Zhang +3
Recent years witnessed the breakthrough of face recognition with deep convolutional neural networks. Dozens of papers in the field of FR are published every year. Some of them were…
Racial Faces in-the-Wild: Reducing Racial Bias by Information Maximization Adaptation Network
Mei Wang, Weihong Deng, Jiani Hu +2
Racial bias is an important issue in biometric, but has not been thoroughly studied in deep face recognition. In this paper, we first contribute a dedicated dataset called Racial F…