2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation
Linzhi Huang, Jiahao Liang, Weihong Deng
Due to the lack of diversity of datasets, the generalization ability of the pose estimator is poor. To solve this problem, we propose a pose augmentation solution via DH forward ki…
Exploring Disentangled Content Information for Face Forgery Detection
Jiahao Liang, Huafeng Shi, Weihong Deng
Convolutional neural network based face forgery detection methods have achieved remarkable results during training, but struggled to maintain comparable performance during testing.…
Identifying Rhythmic Patterns for Face Forgery Detection and Categorization
Jiahao Liang, Weihong Deng
With the emergence of GAN, face forgery technologies have been heavily abused. Achieving accurate face forgery detection is imminent. Inspired by remote photoplethysmography (rPPG)…