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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：128/0  |  提交时间：2022/05/05
remote sensing  object detection  eagle-eye fovea network (EFNet)  anchor-free  attention mechanism  
Hyperspectral Unmixing Using Nonlocal Similarity-Regularized Low-Rank Tensor Factorization 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Yuan, Yuan;  Dong, Le;  Li, Xuelong
Adobe PDF(5662Kb)  |  收藏  |  浏览/下载：192/0  |  提交时间：2022/01/18
Tensors  TV  Hyperspectral imaging  Data models  Task analysis  Optimization  Data mining  Hyperspectral unmixing  low tensor rank  nonlocal similarity  nonnegative tensor factorization (NTF)  
Context and Difference Enhancement Network for Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15
作者:  Song, Dawei;  Dong, Yongsheng;  Li, Xuelong
Adobe PDF(5123Kb)  |  收藏  |  浏览/下载：131/0  |  提交时间：2022/12/02
Transformers  Feature extraction  Context modeling  Task analysis  Remote sensing  Data mining  Semantics  Change detection (CD)  content difference enhancement  global context  remote sensing  
Density saliency for clustered building detection and population capacity estimation 期刊论文
Neurocomputing, 2021, 卷号: 458, 页码: 127-140
作者:  Liu, Kang;  Huang, Ju;  Xu, Mingliang;  Perc, Matja;  Li, Xuelong
Adobe PDF(5204Kb)  |  收藏  |  浏览/下载：194/0  |  提交时间：2021/09/06
Remote sensing  Clustered Building Detection (CBD)  Saliency heatmap  Deep Neural Network (DNN)  Population Capacity Estimation (PCE)  
Supervised deep hashing with a joint deep network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105
作者:  Chen, Yaxiong;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2408Kb)  |  收藏  |  浏览/下载：190/3  |  提交时间：2020/07/20
Image retrieval  Supervised hashing  CNN  RNN  Deep 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：180/1  |  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  
Hierarchical Feature Fusion Network for Salient Object Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9165-9175
作者:  Li, Xuelong;  Song, Dawei;  Dong, Yongsheng
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载：201/1  |  提交时间：2020/10/30
Feature extraction  Semantics  Image edge detection  Object detection  Fuses  Visualization  Image color analysis  Salient object detection  hierarchical feature fusion  edge information-guided  one-to-one hierarchical supervision strategy  
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：200/2  |  提交时间：2020/01/17
Action categorization  unsupervised learning  deep representations  
An efficient framework for unsupervised feature selection 期刊论文
NEUROCOMPUTING, 2019, 卷号: 366, 页码: 194-207
作者:  Zhang, Han;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong
Adobe PDF(2196Kb)  |  收藏  |  浏览/下载：259/4  |  提交时间：2019/10/18
Efficient unsupervised feature selection  Bipartite graph  Discrete indicator matrix  Uncorrelated regression model  
Robust Subspace Clustering by Cauchy Loss Function 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 7, 页码: 2067-2078
作者:  Li, Xuelong;  Lu, Quanmao;  Dong, Yongsheng;  Tao, Dacheng
Adobe PDF(3374Kb)  |  收藏  |  浏览/下载：252/0  |  提交时间：2019/07/17
Cauchy loss function (CLF)  grouping effect  noise suppression  similarity matrix  subspace clustering