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Multitask deep active contour-based iris segmentation for off-angle iris images 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2022, 卷号: 31, 期号: 4, 页码: 21
作者:  Lu, Tianhao;  Wang, Caiyong;  Wang, Yunlong;  Sun, Zhenan
Adobe PDF(5346Kb)  |  收藏  |  浏览/下载：332/41  |  提交时间：2022/11/14
iris recognition  iris segmentation  off-angle iris image  active contour  attention mechanism  
Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 865-879
作者:  Wei, Jianze;  Huang, Huaibo;  Wang, Yunlong;  He, Ran;  Sun, Zhenan
Adobe PDF(8736Kb)  |  收藏  |  浏览/下载：341/58  |  提交时间：2022/06/06
Iris recognition  Uncertainty  Training  Task analysis  Computational modeling  Feature extraction  Probabilistic logic  Iris recognition  cross-sensor recognition  uncertainty learning  curriculum learning  
High-fidelity View Synthesis for Light Field Imaging With Extended Pseudo 4DCNN 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2020, 卷号: 6, 页码: 830-842
作者:  Wang, Yunlong;  Liu, Fei;  Zhang, Kunbo;  Wang, Zilei;  Sun, Zhenan;  Tan, Tieniu
Adobe PDF(7054Kb)  |  收藏  |  浏览/下载：219/42  |  提交时间：2020/09/28
View synthesis  light field reconstruction  end-to-end  structure preserving  extended pseudo 4DCNN  
Towards Complete and Accurate Iris Segmentation Using Deep Multi-Task Attention Network for Non-Cooperative Iris Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 卷号: 15, 期号: 1, 页码: 2944-2959
作者:  Wang, Caiyong;  Muhammad, Jawad;  Wang, Yunlong;  He, Zhaofeng;  Sun, Zhenan
浏览  |  Adobe PDF(8655Kb)  |  收藏  |  浏览/下载：549/228  |  提交时间：2020/06/02
Iris segmentation  iris localization  attention mechanism  multi-task learning  iris recognition  
Exploring uncertainty in pseudo-label guided unsupervised domain adaptation 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 页码: 11
作者:  Liang, Jian;  He, Ran;  Sun, Zhenan;  Tan, Tieniu
收藏  |  浏览/下载：347/0  |  提交时间：2019/12/16
Unsupervised domain adaptation  Pseudo labeling  Feature transformation  Progressive learning  Transfer learning