中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共24条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Combining discrete and continuous representation: Scale-arbitrary super-resolution for satellite images 期刊论文
Remote Sensing, 2023, 卷号: 15, 页码: 1827
作者:  An T(安泰);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(14935Kb)  |  收藏  |  浏览/下载：74/9  |  提交时间：2024/01/17
scale-arbitrary super-resolution  image representation  satellite imagery  
Multi-modal spatio-temporal meteorological forecasting with deep neural network 期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14
作者:  Xinbang Zhang;  Qizhao Jin;  Tingzhao Yu;  Shiming Xiang;  Qiuming Kuang;  Véronique Prinet;  Chunhong Pan
Adobe PDF(3735Kb)  |  收藏  |  浏览/下载：294/68  |  提交时间：2022/07/01
Meterological forecasting  Deep learning  Neural architecture search  AutoML  
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2891-2904
作者:  Zhang, Xinbang;  Huang, Zehao;  Wang, Naiyan;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1271Kb)  |  收藏  |  浏览/下载：284/55  |  提交时间：2021/11/02
Computer architecture  Optimization  Learning (artificial intelligence)  Task analysis  Acceleration  Evolutionary computation  Convolution  Neural architecture search(NAS)  convolution neural network  sparse optimization  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：408/89  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning  
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789
作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming;  Pan, Chunhong;  Fua, Pascal
浏览  |  Adobe PDF(3986Kb)  |  收藏  |  浏览/下载：330/70  |  提交时间：2019/12/16
Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching  
Nonlinear Asymmetric Multi-Valued Hashing 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 11, 页码: 2660-2676
作者:  Da, Cheng;  Meng, Gaofeng;  Xiang, Shiming;  Ding, Kun;  Xu, Shibiao;  Yang, Qing;  Pan, Chunhong
浏览  |  Adobe PDF(2583Kb)  |  收藏  |  浏览/下载：491/116  |  提交时间：2018/10/07
Asymmetric hashing  multi-valued embeddings  binary sparse representation  nonlinear transformation  
Simultaneous change region and pattern identification for very high-resolution images 期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2017, 卷号: 11
作者:  Huo, Chunlei;  Huo, Leigang;  Zhou, Zhixin;  Pan, Chunhong
收藏  |  浏览/下载：240/0  |  提交时间：2018/03/03
Change Detection  Change Pattern  Feature Classification  Feature Learning  Distance Tuning  
Deep unsupervised learning with consistent inference of latent representations 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 77, 期号: 5, 页码: 438-453
作者:  Chang, Jianlong;  Wang, Lingfeng;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(2654Kb)  |  收藏  |  浏览/下载：448/171  |  提交时间：2018/01/16
Deep Unsupervised Learning  Consistent Inference Of Latent Representations  
Ensemble based deep networks for image super-resolution 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 68, 期号: null, 页码: 191-198
作者:  Wang, Lingfeng;  Huang, Zehao;  Gong, Yongchao;  Pan, Chunhong
Adobe PDF(1948Kb)  |  收藏  |  浏览/下载：831/320  |  提交时间：2017/05/09
Super-resolution  Ensemble  Sparse Prior  Deep Networks  
Learning Relationship for Very High Resolution Image Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 卷号: 9, 期号: 8, 页码: 3384-3394
作者:  Huo, Chunlei;  Chen, Keming;  Ding, Kun;  Zhou, Zhixin;  Pan, Chunhong
Adobe PDF(969Kb)  |  收藏  |  浏览/下载：452/167  |  提交时间：2017/02/14
Change Detection  Distance Tuning  Interclass Couple  Intraclass Couple  Relationship Learning  Target Neighborhood