6 citations · 8 across the 5 of their papers we have counts for
5 papers
Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis
Zijian Chen, Mei Wang, Weihong Deng +5
2D face recognition encounters challenges in unconstrained environments due to varying illumination, occlusion, and pose. Recent studies focus on RGB-D face recognition to improve…
Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation
Xuannan Liu, Yaoyao Zhong, Weihong Deng +4
The blooming of social media and face recognition (FR) systems has increased people's concern about privacy and security. A new type of adversarial privacy cloak (class-universal)…
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention
Linzhi Huang, Mei Wang, Jiahao Liang +5
Although face recognition has made impressive progress in recent years, we ignore the racial bias of the recognition system when we pursue a high level of accuracy. Previous work f…
Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline
Xu Ling, Yichen Lu, Wenqi Xu +5
Although deep learning has significantly improved Face Recognition (FR), dramatic performance deterioration may occur when processing Low Resolution (LR) faces. To alleviate this,…
Model and Data Agreement for Learning with Noisy Labels
Yuhang Zhang, Weihong Deng, Xingchen Cui +3
Learning with noisy labels is a vital topic for practical deep learning as models should be robust to noisy open-world datasets in the wild. The state-of-the-art noisy label learni…