56 citations · 72 across the 11 of their papers we have counts for
7 papers · 1 filter
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,…
Disentangling Identity and Pose for Facial Expression Recognition
Jing Jiang, Weihong Deng
Facial expression recognition (FER) is a challenging problem because the expression component is always entangled with other irrelevant factors, such as identity and head pose. In…
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)…
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition
Yuhang Zhang, Chengrui Wang, Xu Ling +1
Noisy label Facial Expression Recognition (FER) is more challenging than traditional noisy label classification tasks due to the inter-class similarity and the annotation ambiguity…