CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共5条,第1-5条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Surveillance Face Anti-Spoofing 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 1535-1546
作者:  Fang, Hao;  Liu, Ajian;  Wan, Jun;  Escalera, Sergio;  Zhao, Chenxu;  Zhang, Xu;  Li, Stan Z.;  Lei, Zhen
收藏  |  浏览/下载:40/0  |  提交时间:2024/02/22
Face anti-spoofing  dataset  surveillance scenes  
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 4775-4786
作者:  Liu, Ajian;  Tan, Zichang;  Yu, Zitong;  Zhao, Chenxu;  Wan, Jun;  Liang, Yanyan;  Lei, Zhen;  Zhang, Du;  Li, Stan Z.;  Guo, Guodong
收藏  |  浏览/下载:125/0  |  提交时间:2023/11/17
Face anti-spoofing  flexible-modal testing  vision transformer  mutual-attention  fusion-attention  
Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3224-3235
作者:  Tan, Zichang;  Liu, Ajian;  Wan, Jun;  Liu, Hao;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
收藏  |  浏览/下载:240/0  |  提交时间:2022/07/25
Face recognition  Training  Measurement  Graphics processing units  Deep learning  Logic gates  Feature extraction  Face recognition  ID vs spot  deep learning  cross-batch hard example mining  pseudo large batch  
An end-to-end exemplar association for unsupervised person Re-identification 期刊论文
NEURAL NETWORKS, 2020, 卷号: 129, 页码: 43-54
作者:  Wu, Jinlin;  Yang, Yang;  Lei, Zhen;  Wang, Jinqiao;  Li, Stan Z.;  Tiwari, Prayag;  Pandey, Hari Mohan
Adobe PDF(3014Kb)  |  收藏  |  浏览/下载:347/82  |  提交时间:2020/09/07
End-to-end exemplar-based training  Exemplar association  Dynamic selection threshold  
Multi-view subspace clustering with intactness-aware similarity 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 88, 页码: 50-63
作者:  Wang, Xiaobo;  Lei, Zhen;  Guo, Xiaojie;  Zhang, Changqing;  Shi, Hailin;  Li, Stan Z.
收藏  |  浏览/下载:222/0  |  提交时间:2019/07/12
Intact space  Intactness-aware similarity  Multi-view subspace clustering