no code implementations • 17 Mar 2024 • Zuyuan He, Zongyong Deng, Qiaoyun He, Qijun Zhao
To address the above issues, we propose a novel morphing attack method to improve the quality of morphed images and better preserve the contributing identities.
no code implementations • 30 Jan 2024 • Qiaoyun He, Zongyong Deng, Zuyuan He, Qijun Zhao
Our proposed method overcomes the limitations of previous approaches by optimizing the morphing landmarks and using Graph Convolutional Networks (GCNs) to combine landmark and appearance features.
1 code implementation • CVPR 2021 • Zongyong Deng, Hao liu, Yaoxing Wang, Chenyang Wang, Zekuan Yu, Xuehong Sun
In this paper, we propose a progressive margin loss (PML) approach for unconstrained facial age classification.