304 citations · 863 across the 20 of their papers we have counts for
33 papers
Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher
Jing Jiang, Weihong Deng
In this paper, we aim to improve the performance of in-the-wild Facial Expression Recognition (FER) by exploiting semi-supervised learning. Large-scale labeled data and deep learni…
Cycle Label-Consistent Networks for Unsupervised Domain Adaptation
Mei Wang, Weihong Deng
Domain adaptation aims to leverage a labeled source domain to learn a classifier for the unlabeled target domain with a different distribution. Previous methods mostly match the di…
Deep face recognition with clustering based domain adaptation
Mei Wang, Weihong Deng
Despite great progress in face recognition tasks achieved by deep convolution neural networks (CNNs), these models often face challenges in real world tasks where training images g…
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
Yaoyao Zhong, Weihong Deng, Jiani Hu +3
Deep face recognition has achieved great success due to large-scale training databases and rapidly developing loss functions. The existing algorithms devote to realizing an ideal i…
OPOM: Customized Invisible Cloak towards Face Privacy Protection
Yaoyao Zhong, Weihong Deng
While convenient in daily life, face recognition technologies also raise privacy concerns for regular users on the social media since they could be used to analyze face images and…
Unsupervised Structure-Texture Separation Network for Oracle Character Recognition
Mei Wang, Weihong Deng, Cheng-Lin Liu
Oracle bone script is the earliest-known Chinese writing system of the Shang dynasty and is precious to archeology and philology. However, real-world scanned oracle data are rare a…