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：
A Novel Data Augmentation Scheme for Pedestrian Detection with Attribute Preserving GAN 期刊论文
Neurocomputing, 2020, 卷号: 401, 期号: 11, 页码: 123-132
作者:  Liu, Songyan;  Guo, Haiyun;  Hu, Jian-Guo;  Zhao, Xu;  Zhao, Chaoyang;  Wang, Tong;  Zhu, Yousong;  Wang, Jinqiao;  Tang, Ming
浏览  |  Adobe PDF(2691Kb)  |  收藏  |  浏览/下载：373/83  |  提交时间：2020/06/10
Generative Adversarial Networks  Pedestrian detection  Data augmentation  
Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 8, 页码: 1846-1855
作者:  Ren, Shixin;  Wang, Weiqun;  Hou, Zeng-Guang;  Liang, Xu;  Wang, Jiaxing;  Shi, Weiguo
Adobe PDF(1893Kb)  |  收藏  |  浏览/下载：289/49  |  提交时间：2020/09/07
Brain computer interface  functional electrical stimulation (FES)  virtual reality  enhanced motor imagery  rehabilitation training  
MGCN: Descriptor Learning using Multiscale GCNs 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2020, 卷号: 39, 期号: 4, 页码: 15
作者:  Wang, Yiqun;  Ren, Jing;  Yan, Dong-Ming;  Guo, Jianwei;  Zhang, Xiaopeng;  Wonka, Peter
Adobe PDF(32624Kb)  |  收藏  |  浏览/下载：324/15  |  提交时间：2021/01/06
Multiscale  Energy Decomposition  Wavelet Convolution  Shape Matching  
Towards stabilizing facial landmark detection and tracking via hierarchical filtering: A new method 期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 卷号: 357, 期号: 5, 页码: 3019-3037
作者:  Jin, Yi;  Guo, Xingyan;  Li, Yidong;  Xing, Junliang;  Tian, Hui
收藏  |  浏览/下载：210/0  |  提交时间：2020/06/02
Learning 3D Human Shape and Pose from Dense Body Parts 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 0, 期号: 0, 页码: 0
作者:  Zhang, Hongwen;  Cao, Jie;  Lu, Guo;  Ouyang, Wanli;  Sun, Zhenan
Adobe PDF(4759Kb)  |  收藏  |  浏览/下载：186/45  |  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