中文版 | English

在结果中检索

CASIA OpenIR

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：
Dynamic Graph Neural Networks for Sequential Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 35, 期号: 5, 页码: 4741-4753
作者:  Mengqi Zhang;  Shu Wu;  Xueli Yu;  Qiang Liu;  Liang Wang
Adobe PDF(1269Kb)  |  收藏  |  浏览/下载：181/58  |  提交时间：2023/07/03
Audio-driven Dubbing for User Generated Contents via Style-aware Semi-parametric Synthesis 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2022, 卷号: 33, 期号: 3, 页码: 1247 - 1261
作者:  Song LS(宋林森);  Wu WY(吴文岩);  Fu CY(傅朝友);  Loy, Chen Change;  He R(赫然)
Adobe PDF(8629Kb)  |  收藏  |  浏览/下载：153/61  |  提交时间：2023/06/29
Talking Face Generation  Video Generation  GAN  Thin-plate Spline  
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  
Perturbation Inactivation Based Adversarial Defense for Face Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2947-2962
作者:  Ren, Min;  Zhu, Yuhao;  Wang, Yunlong;  Sun, Zhenan
Adobe PDF(5658Kb)  |  收藏  |  浏览/下载：295/60  |  提交时间：2022/11/14
Face recognition  Perturbation methods  Robustness  Immune system  Principal component analysis  Deep learning  Training  Adversarial machine learning  deep learning  graph neural network  face recognition  
Learning 3D Human Shape and Pose from Dense Body Parts 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 5, 页码: 2610-2627
作者:  Zhang, Hongwen;  Cao, Jie;  Lu, Guo;  Ouyang, Wanli;  Sun, Zhenan
Adobe PDF(4759Kb)  |  收藏  |  浏览/下载：236/57  |  提交时间：2021/06/16
3D human shape and pose estimation  decompose-and-aggregate network  position-aided rotation feature refinement  part-based dropout