CASIA OpenIR
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Contextual Measures for Iris Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 57-70
作者:  Wei, Jianze;  Wang, Yunlong;  Huang, Huaibo;  He, Ran;  Sun, Zhenan;  Gao, Xingyu
Adobe PDF(2731Kb)  |  收藏  |  浏览/下载:270/63  |  提交时间:2023/02/22
Iris recognition  contextual aggregation  visual transformer  information bottleneck  
Memory-Modulated Transformer Network for Heterogeneous Face Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2095-2109
作者:  Luo, Mandi;  Wu, Haoxue;  Huang, Huaibo;  He, Weizan;  He, Ran
Adobe PDF(4712Kb)  |  收藏  |  浏览/下载:352/125  |  提交时间:2022/07/25
Face recognition  Task analysis  Transformers  Encoding  Feature extraction  Image recognition  Memory modules  Heterogeneous face recognition  style transformer  memory network  
Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Jia, Gengyun;  Li, Peipei;  He, Ran
Adobe PDF(10845Kb)  |  收藏  |  浏览/下载:251/37  |  提交时间:2022/06/06
Aesthetic quality assessment (AQA)  full resolution  region of image (RoM) pooling  theme  
FA-GAN: Face Augmentation GAN for Deformation-Invariant Face Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 期号: 0, 页码: 2341-2355
作者:  Luo, Mandi;  Cao, Jie;  Ma, Xin;  Zhang, Xiaoyu;  He, Ran
Adobe PDF(4742Kb)  |  收藏  |  浏览/下载:344/56  |  提交时间:2021/04/21
Face recognition  Strain  Geometry  Frequency division multiplexing  Training  Task analysis  Semantics  Face augmentation  deformation-invariant face recognition  face disentanglement  graph convolutional networks  
Recurrent Prediction with Spatio-temporal Attention for Crowd Attribute Recognition 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: 30, 期号: Early Access, 页码: 1 - 1
作者:  Li, Qiaozhe;  Zhao, Xin;  He, Ran;  Huang, Kaiqi
浏览  |  Adobe PDF(2648Kb)  |  收藏  |  浏览/下载:396/104  |  提交时间:2020/01/14
Crowd video understanding , Attribute recognition , Attention mechanism , Multi-label classification