CASIA OpenIR

浏览/检索结果: 共6条,第1-6条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
MSCap: Multi-Style Image Captioning with Unpaired Stylized Text 会议论文
, 美国长滩, 2019.06.16
作者:  Longteng, Guo;  Jing, Liu;  Peng, Yao;  Jiangwei, Li;  Hanqing, Lu
Adobe PDF(914Kb)  |  收藏  |  浏览/下载:151/36  |  提交时间:2021/06/25
Analyzing the dynamic sectoral influence in Chinese and American stock markets 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 卷号: 536, 页码: 15
作者:  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Danjun
Adobe PDF(2694Kb)  |  收藏  |  浏览/下载:343/38  |  提交时间:2020/03/30
Sectoral influence  Multi-time scales  Causal network  Granger causality  Empirical mode decomposition  
Asymmetric CycleGAN for Unpaired NIR-to-RGB Face Image Translation 会议论文
, Brighton, UK, 12 - 17 May, 2019
作者:  Hao Dou;  Chen Chen;  Xiyuan Hu;  Silong Peng
浏览  |  Adobe PDF(1643Kb)  |  收藏  |  浏览/下载:474/167  |  提交时间:2019/09/24
Realizing human-like manipulation with a musculoskeletal system and biologically inspired control scheme 期刊论文
NEUROCOMPUTING, 2019, 卷号: 339, 期号: 暂无, 页码: 116-129
作者:  Jiahao Chen;  Shanlin Zhong;  Erlong Kang;  Hong Qiao
Adobe PDF(4018Kb)  |  收藏  |  浏览/下载:434/63  |  提交时间:2019/07/12
Human-like manipulation  Musculoskeletal system  Biologically inspired  Muscle synergy  Attractive region in environment  
3D Shape Reconstruction of Lumbar Vertebra from Two X-ray Images and a CT Model 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2019, 卷号: 7, 期号: 10, 页码: 1-10
作者:  Fang, Longwei;  Wang, Zuowei;  Chen, Zhiqiang;  Jian, Fengzeng;  Li, Shuo;  He, Huiguang
浏览  |  Adobe PDF(5609Kb)  |  收藏  |  浏览/下载:457/126  |  提交时间:2019/07/01
3d Reconstruction  Vertebra Model  X-ray Image  2d/3d Registration  2d/2d Registration  
Automatic brain labeling via multi-atlas guided fully convolutional networks 期刊论文
Medical Image Analysis, 2019, 期号: 52, 页码: 157-168
作者:  Longwei Fang;  Lichi Zhang;  Dong Nie;  Xiaohuan Cao;  Islem Rekik;  Seong-Whan Lee;  Huiguang He;  Dingguang Shen
Adobe PDF(2952Kb)  |  收藏  |  浏览/下载:561/187  |  提交时间:2019/05/05
Brain Image Labeling, Multi-atlas-based Method, Fully Convolutional Network, Patch-based Labeling