中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共16条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
SpatioTemporal Inference Network for Precipitation Nowcasting With Multimodal Fusion 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 1299-1314
作者:  Jin, Qizhao;  Zhang, Xinbang;  Xiao, Xinyu;  Wang, Ying;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(8766Kb)  |  收藏  |  浏览/下载：70/5  |  提交时间：2024/02/21
Data mining  multimodal knowledge discovery  precipitation nowcasting  
PuzzleNet: Boundary-Aware Feature Matching for Non-Overlapping 3D Point Clouds Assembly 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 3, 页码: 492-509
作者:  Liu, Hao-Yu;  Guo, Jian-Wei;  Jiang, Hai-Yong;  Liu, Yan-Chao;  Zhang, Xiao-Peng;  Yan, Dong-Ming
Adobe PDF(7448Kb)  |  收藏  |  浏览/下载：97/5  |  提交时间：2023/12/21
shape assembly  3D registration  geometric learning  boundary feature  point cloud  
Static-dynamic global graph representation for pedestrian trajectory prediction 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 277, 页码: 13
作者:  Zhou, Hao;  Yang, Xu;  Fan, Mingyu;  Huang, Hai;  Ren, Dongchun;  Xia, Huaxia
Adobe PDF(1620Kb)  |  收藏  |  浏览/下载：149/3  |  提交时间：2023/11/17
Trajectory prediction  Social interaction  Global graph representation  
A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong;  Qiao, Hong
Adobe PDF(4447Kb)  |  收藏  |  浏览/下载：173/11  |  提交时间：2023/11/17
Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure  
D-TNet: Category-Awareness Based Difference-Threshold Alternative Learning Network for Remote Sensing Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 1-16
作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei
Adobe PDF(8963Kb)  |  收藏  |  浏览/下载：143/37  |  提交时间：2023/03/20
Category-awareness  change detection  optical remote sensing image  threshold learning  
Subgraph-aware graph structure revision for spatial-temporal graph modeling 期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1781Kb)  |  收藏  |  浏览/下载：190/6  |  提交时间：2023/01/09
Graph structure learning  Graph neural network  Spatial-temporal graph modeling  
Controller design and stability analysis for spinning missiles via tensor product 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2022, 卷号: 130, 页码: 9
作者:  Zhou, Zhiming;  Liu, Zhen;  Pan, Yi;  Yi, Jianqiang
收藏  |  浏览/下载：185/0  |  提交时间：2022/11/14
Spinning missile  Tensor product model transformation  Parallel distributed compensation  Model filtering  Stability analysis  
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 21
作者:  Tao, Xian;  Gong, Xinyi;  Zhang, Xin;  Yan, Shaohua;  Adak, Chandranath
Adobe PDF(7056Kb)  |  收藏  |  浏览/下载：267/2  |  提交时间：2022/09/19
Anomaly localization (AL)  deep learning  industrial inspection  literature survey  unsupervised learning  
Learning adversarial point-wise domain alignment for stereo matching 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 564-574
作者:  Zhang, Chenghao;  Meng, Gaofeng;  Xu, Richard Yi Da;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(3885Kb)  |  收藏  |  浏览/下载：355/56  |  提交时间：2022/09/19
Stereo Matching  Domain adaptation  Point-wise linear transformation  Adversarial learning  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：263/35  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning