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Eagle-Eye-Inspired Attention for Object Detection in Remote Sensing 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 7
作者:  Liu, Kang;  Huang, Ju;  Li, Xuelong
Adobe PDF(2850Kb)  |  收藏  |  浏览/下载：131/0  |  提交时间：2022/05/05
remote sensing  object detection  eagle-eye fovea network (EFNet)  anchor-free  attention mechanism  
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8246-8257
作者:  Mou, Lichao;  Lu, Xiaoqiang;  Li, Xuelong;  Zhu, Xiao Xiang
Adobe PDF(10395Kb)  |  收藏  |  浏览/下载：224/0  |  提交时间：2020/12/21
Hyperspectral imaging  Convolution  Task analysis  Recurrent neural networks  Semisupervised learning  Support vector machines  Graph convolutional network (GCN)  hyperspectral image classification  nonlocal graph  semisupervised learning  
Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279
作者:  Liu, Yun;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong;  Ding, Chris
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：183/1  |  提交时间：2020/10/23
Dimensionality reduction  Linear discriminant analysis  Eigenvalues and eigenfunctions  Learning systems  Computer science  Optical imaging  Optics  Optimal scaling (OS)  orthogonal least squares regression (OLSR)  orthogonal linear discriminant analysis (OLDA)  recursive regression  supervised dimensionality reduction  
Unsupervised learning of human action categories in still images with deep representations 期刊论文
ACM Transactions on Multimedia Computing, Communications and Applications, 2019, 卷号: 15, 期号: 4
作者:  Zheng, Yunpeng;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(23484Kb)  |  收藏  |  浏览/下载：201/2  |  提交时间：2020/01/17
Action categorization  unsupervised learning  deep representations  
Spatiotemporal interest point detector exploiting appearance and motion-variation information 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2019, 卷号: 28, 期号: 3
作者:  Li, Yanshan;  Li, Qingteng;  Huang, Qinghua;  Xia, Rongjie;  Li, Xuelong
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载：170/0  |  提交时间：2019/07/19
spatiotemporal interest point detector  spatiotemporal interest point  geometric algebra  video  
Long-Short-Term Features for Dynamic Scene Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 4, 页码: 1038-1047
作者:  Huang, Yuanjun;  Cao, Xianbin;  Wang, Qi;  Zhang, Baochang;  Zhen, Xiantong;  Li, Xuelong
Adobe PDF(2016Kb)  |  收藏  |  浏览/下载：254/0  |  提交时间：2019/04/30
Dynamic scene classification  long-short term feature  long term frequency feature  
Co-occurrence matching of local binary patterns for improving visual adaption and its application to smoke recognition 期刊论文
IET COMPUTER VISION, 2019, 卷号: 13, 期号: 2(SI), 页码: 178-187
作者:  Yuan, Feiniu;  Shi, Jinting;  Xia, Xue;  Huang, Qinghua;  Li, Xuelong
Adobe PDF(2509Kb)  |  收藏  |  浏览/下载：187/0  |  提交时间：2019/03/14
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 2, 页码: 911-923
作者:  Wang, Qi;  He, Xiang;  Li, Xuelong
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：212/0  |  提交时间：2019/03/14
Block-diagonal structure  hyperspectral image (HSI) classification  low-rank representation (LRR)  
GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 1, 页码: 3-13
作者:  Wang, Qi;  Yuan, Zhenghang;  Du, Qian;  Li, Xuelong
Adobe PDF(3597Kb)  |  收藏  |  浏览/下载：418/0  |  提交时间：2019/03/14
2-D convolutional neural network (CNN)  change detection (CD)  deep learning  hyperspectral image (HSI)  mixed-affinity matrix  spectral unmixing  
Weakly Supervised Object Detection via Object-Specific Pixel Gradient 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 12, 页码: 5960-5970
作者:  Shen, Yunhang;  Ji, Rongrong;  Wang, Changhu;  Li, Xi;  Li, Xuelong
Adobe PDF(4529Kb)  |  收藏  |  浏览/下载：202/0  |  提交时间：2018/12/10
Convolutional Neural Network (Cnn)  Object Detection  Weakly Supervised