1 code implementation • 16 Mar 2024 • Zhe Kong, Yong Zhang, Tianyu Yang, Tao Wang, Kaihao Zhang, Bizhu Wu, GuanYing Chen, Wei Liu, Wenhan Luo
We also observe that the initiation denoising timestep for noise blending is the key to identity preservation and layout.
no code implementations • 2 Jan 2024 • Zhe Kong, Wentian Zhang, Tao Wang, Kaihao Zhang, Yuexiang Li, Xiaoying Tang, Wenhan Luo
In this paper, we propose a domain adversarial attack (DAA) method to mitigate the training instability problem by adding perturbations to the input images, which makes them indistinguishable across domains and enables domain alignment.
1 code implementation • 15 Nov 2021 • Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang, Linlin Shen
The proposed method learns important features of fingerprint images by weighing the importance of each channel and identifying discriminative channels and "noise" channels.
1 code implementation • 9 Sep 2021 • Zhe Kong, Wentian Zhang, Feng Liu, Wenhan Luo, Haozhe Liu, Linlin Shen, Raghavendra Ramachandra
Even though there are numerous Presentation Attack Detection (PAD) techniques based on both deep learning and hand-crafted features, the generalization of PAD for unknown PAI is still a challenging problem.