中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共22条，第1-10条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
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：77/2  |  提交时间：2023/12/21
shape assembly  3D registration  geometric learning  boundary feature  point cloud  
A Robust Infrared Small Target Detection Method Jointing Multiple Information and Noise Prediction: Algorithm and Benchmark 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 17
作者:  Meng, Siqiang;  Zhang, Congxuan;  Shi, Qi;  Chen, Zhen;  Hu, Weiming;  Lu, Feng
收藏  |  浏览/下载：84/0  |  提交时间：2023/11/17
Dataset  infrared small target detection (IRSTD)  multiple information  noise prediction  regional positioning  
Toward Accurate and Efficient Road Extraction by Leveraging the Characteristics of Road Shapes 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 16
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Wang, Ruisheng;  Zhang, Jiguang;  Zhang, Xiaopeng
Adobe PDF(13777Kb)  |  收藏  |  浏览/下载：110/2  |  提交时间：2023/11/17
Efficient and accurate road extraction  efficient strip transformer module (ESTM)  geometric deformation estimation module (GDEM)  road edge focal loss (REF loss)  road shape-aware network (RSANet)  
A Survey on Reinforcement Learning Methods in Bionic Underwater Robots 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 2, 页码: 29
作者:  Tong, Ru;  Feng, Yukai;  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：95/1  |  提交时间：2023/11/17
bionic underwater robot  reinforcement learning  robotic fish  intelligent control  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载：305/72  |  提交时间：2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1659-1666
作者:  Wei, Wei;  Li, Daheng;  Wang, Peng;  Li, Yiming;  Li, Wanyi;  Luo, Yongkang;  Zhong, Jun
Adobe PDF(3717Kb)  |  收藏  |  浏览/下载：245/10  |  提交时间：2022/03/17
Deep learning in grasping and manipulation  multifingered hands  computer vision for automation  point cloud completion  iterative refinement  
Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging 期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 卷号: 71, 页码: 10
作者:  Liu, Shuaiqi;  Zhao, Ling;  Zhao, Jie;  Li, Bing;  Wang, Shui-Hua
收藏  |  浏览/下载：243/0  |  提交时间：2021/12/28
Attention deficit  hyperactivity disorder  Resting functional magnetic resonance imaging  Classification  Convolutional gated recurrent unit  
Exploring the Representativity of Art Paintings 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2794-2805
作者:  Deng, Yingying;  Tang, Fan;  Dong, Weiming;  Ma, Chongyang;  Huang, Feiyue;  Deussen, Oliver;  Xu, Changsheng
Adobe PDF(5313Kb)  |  收藏  |  浏览/下载：262/39  |  提交时间：2021/11/03
Painting  Art  Image color analysis  Feature extraction  Task analysis  Engineering profession  Electronic mail  Representativity  style enhancement  feature representation  artwork evaluation  
Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2386-2397
作者:  Wang, Wei;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：334/45  |  提交时间：2021/11/02
Feature extraction  Encoding  Task analysis  Semantics  Data models  Cognition  Focusing  Video-text retrieval  graph neural network  coarse-to-fine strategy  
Data-driven floor plan understanding in rural residential buildings via deep recognition 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 567, 页码: 58-74
作者:  Lu, Zhengda;  Wang, Teng;  Guo, Jianwei;  Meng, Weiliang;  Xiao, Jun;  Zhang, Wei;  Zhang, Xiaopeng
Adobe PDF(3227Kb)  |  收藏  |  浏览/下载：356/61  |  提交时间：2021/08/15
Floor plan understanding  Rural residence  Neural networks