Zongyong Deng
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View article: Mutual Adversarial Attack-Based Adaptive Blending for Face Morphing
Mutual Adversarial Attack-Based Adaptive Blending for Face Morphing Open
View article: Hierarchical Generative Network for Face Morphing Attacks
Hierarchical Generative Network for Face Morphing Attacks Open
Face morphing attacks circumvent face recognition systems (FRSs) by creating a morphed image that contains multiple identities. However, existing face morphing attack methods either sacrifice image quality or compromise the identity preser…
View article: Optimal-Landmark-Guided Image Blending for Face Morphing Attacks
Optimal-Landmark-Guided Image Blending for Face Morphing Attacks Open
In this paper, we propose a novel approach for conducting face morphing attacks, which utilizes optimal-landmark-guided image blending. Current face morphing attacks can be categorized into landmark-based and generation-based approaches. L…
View article: PML: Progressive Margin Loss for Long-tailed Age Classification
PML: Progressive Margin Loss for Long-tailed Age Classification Open
In this paper, we propose a progressive margin loss (PML) approach for unconstrained facial age classification. Conventional methods make strong assumption on that each class owns adequate instances to outline its data distribution, likely…
View article: [Retracted] Age Label Distribution Learning Based on Unsupervised Comparisons of Faces
[Retracted] Age Label Distribution Learning Based on Unsupervised Comparisons of Faces Open
Although label distribution learning has made significant progress in the field of face age estimation, unsupervised learning has not been widely adopted and is still an important and challenging task. In this work, we propose an unsupervi…