Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Xuelong Li

Xuelong Li

Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning


Mar 25, 2021
Yanling Miao, Qi Wang, Mulin Chen, Xuelong Li

Figure 1 for Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning
Figure 2 for Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning
Figure 3 for Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning
Figure 4 for Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning

  Access Paper or Ask Questions

Feature Weighted Non-negative Matrix Factorization


Mar 24, 2021
Mulin Chen, Maoguo Gong, Xuelong Li

Figure 1 for Feature Weighted Non-negative Matrix Factorization
Figure 2 for Feature Weighted Non-negative Matrix Factorization
Figure 3 for Feature Weighted Non-negative Matrix Factorization
Figure 4 for Feature Weighted Non-negative Matrix Factorization

  Access Paper or Ask Questions

Entropy Minimizing Matrix Factorization


Mar 24, 2021
Mulin Chen, Xuelong Li

Figure 1 for Entropy Minimizing Matrix Factorization
Figure 2 for Entropy Minimizing Matrix Factorization
Figure 3 for Entropy Minimizing Matrix Factorization
Figure 4 for Entropy Minimizing Matrix Factorization

  Access Paper or Ask Questions

Enhanced Principal Component Analysis under A Collaborative-Robust Framework


Mar 22, 2021
Rui Zhang, Hongyuan Zhang, Xuelong Li

Figure 1 for Enhanced Principal Component Analysis under A Collaborative-Robust Framework
Figure 2 for Enhanced Principal Component Analysis under A Collaborative-Robust Framework
Figure 3 for Enhanced Principal Component Analysis under A Collaborative-Robust Framework
Figure 4 for Enhanced Principal Component Analysis under A Collaborative-Robust Framework

  Access Paper or Ask Questions

Multi-channel Deep Supervision for Crowd Counting


Mar 17, 2021
Bo Wei, Mulin Chen, Qi Wang, Xuelong Li

Figure 1 for Multi-channel Deep Supervision for Crowd Counting
Figure 2 for Multi-channel Deep Supervision for Crowd Counting
Figure 3 for Multi-channel Deep Supervision for Crowd Counting
Figure 4 for Multi-channel Deep Supervision for Crowd Counting

  Access Paper or Ask Questions

Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks


Mar 09, 2021
Xuelong Li, Kai Kou, Bin Zhao

Figure 1 for Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
Figure 2 for Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
Figure 3 for Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
Figure 4 for Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks

  Access Paper or Ask Questions

Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery


Jan 06, 2021
Rong Wang, Wei Feng, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li

Figure 1 for Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery
Figure 2 for Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery
Figure 3 for Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery
Figure 4 for Ensemble and Random Collaborative Representation-Based Anomaly Detector for Hyperspectral Imagery

  Access Paper or Ask Questions

Sparse PCA via $l_{2,p}$-Norm Regularization for Unsupervised Feature Selection


Dec 29, 2020
Zhengxin Li, Feiping Nie, Jintang Bian, Xuelong Li

Figure 1 for Sparse PCA via $l_{2,p}$-Norm Regularization for Unsupervised Feature Selection
Figure 2 for Sparse PCA via $l_{2,p}$-Norm Regularization for Unsupervised Feature Selection
Figure 3 for Sparse PCA via $l_{2,p}$-Norm Regularization for Unsupervised Feature Selection
Figure 4 for Sparse PCA via $l_{2,p}$-Norm Regularization for Unsupervised Feature Selection

  Access Paper or Ask Questions

BOTD: Bold Outline Text Detector


Dec 20, 2020
Chuang Yang, Zhitong Xiong, Mulin Chen, Qi Wang, Xuelong Li

Figure 1 for BOTD: Bold Outline Text Detector
Figure 2 for BOTD: Bold Outline Text Detector
Figure 3 for BOTD: Bold Outline Text Detector
Figure 4 for BOTD: Bold Outline Text Detector

  Access Paper or Ask Questions

Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model


Nov 04, 2020
Zheheng Jiang, Feixiang Zhou, Aite Zhao, Xin Li, Ling Li, Dacheng Tao, Xuelong Li, Huiyu Zhou

Figure 1 for Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
Figure 2 for Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
Figure 3 for Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
Figure 4 for Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
* 17 pages, 11 figures 
  Access Paper or Ask Questions

A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View


Sep 29, 2020
Zhiyuan Zhao, Tao Han, Junyu Gao, Qi Wang, Xuelong Li

Figure 1 for A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View
Figure 2 for A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View
Figure 3 for A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View
Figure 4 for A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View

  Access Paper or Ask Questions

Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency


Mar 10, 2020
Rui Zhang, Yunxing Zhang, Xuelong Li

Figure 1 for Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency
Figure 2 for Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency
Figure 3 for Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency
Figure 4 for Graph Convolutional Auto-encoder with Bi-decoder and Adaptive-sharing Adjacency

  Access Paper or Ask Questions

Adaptive Graph Auto-Encoder for General Data Clustering


Feb 22, 2020
Xuelong Li, Hongyuan Zhang, Rui Zhang

Figure 1 for Adaptive Graph Auto-Encoder for General Data Clustering
Figure 2 for Adaptive Graph Auto-Encoder for General Data Clustering
Figure 3 for Adaptive Graph Auto-Encoder for General Data Clustering
Figure 4 for Adaptive Graph Auto-Encoder for General Data Clustering
* 11 pages containing one page supplementary 
  Access Paper or Ask Questions

Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing


Feb 20, 2020
Xuelong Li, Hongyuan Zhang, Rui Zhang

Figure 1 for Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
Figure 2 for Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
Figure 3 for Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
Figure 4 for Embedding Graph Auto-Encoder with Joint Clustering via Adjacency Sharing
* 11 pages containing appendix 
  Access Paper or Ask Questions

Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution


Jan 14, 2020
Qi Wang, Qiang Li, Xuelong Li

Figure 1 for Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
Figure 2 for Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
Figure 3 for Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
Figure 4 for Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution

  Access Paper or Ask Questions

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting


Jan 10, 2020
Qi Wang, Junyu Gao, Wei Lin, Xuelong Li

Figure 1 for NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting
Figure 2 for NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting
Figure 3 for NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting
Figure 4 for NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting
* 8 pages, 3 figures 
  Access Paper or Ask Questions

Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity


Sep 05, 2019
Jinglin Xu, Junwei Han, Mingliang Xu, Feiping Nie, Xuelong Li

Figure 1 for Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity
Figure 2 for Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity
Figure 3 for Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity
Figure 4 for Robust and Efficient Fuzzy C-Means Clustering Constrained on Flexible Sparsity

  Access Paper or Ask Questions

Meta Learning for Task-Driven Video Summarization


Jul 29, 2019
Xuelong Li, Hongli Li, Yongsheng Dong

Figure 1 for Meta Learning for Task-Driven Video Summarization
Figure 2 for Meta Learning for Task-Driven Video Summarization
Figure 3 for Meta Learning for Task-Driven Video Summarization
Figure 4 for Meta Learning for Task-Driven Video Summarization
* IEEE Transactions on Industrial Electronics, 2019 
 * 9 pages, 6 figures 
  Access Paper or Ask Questions

An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms


Jul 02, 2019
Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang

Figure 1 for An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms
Figure 2 for An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms
Figure 3 for An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms
Figure 4 for An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms
* 11 pages, 3 figures 
  Access Paper or Ask Questions

Intrinsic Weight Learning Approach for Multi-view Clustering


Jun 21, 2019
Feiping Nie, Jing Li, Xuelong Li

Figure 1 for Intrinsic Weight Learning Approach for Multi-view Clustering
Figure 2 for Intrinsic Weight Learning Approach for Multi-view Clustering
Figure 3 for Intrinsic Weight Learning Approach for Multi-view Clustering
Figure 4 for Intrinsic Weight Learning Approach for Multi-view Clustering

  Access Paper or Ask Questions

Vision-to-Language Tasks Based on Attributes and Attention Mechanism


May 29, 2019
Xuelong Li, Aihong Yuan, Xiaoqiang Lu

Figure 1 for Vision-to-Language Tasks Based on Attributes and Attention Mechanism
Figure 2 for Vision-to-Language Tasks Based on Attributes and Attention Mechanism
Figure 3 for Vision-to-Language Tasks Based on Attributes and Attention Mechanism
Figure 4 for Vision-to-Language Tasks Based on Attributes and Attention Mechanism
* 15 pages, 6 figures, 50 references 
  Access Paper or Ask Questions

Learning Feature Sparse Principal Components


May 26, 2019
Lai Tian, Feiping Nie, Xuelong Li

Figure 1 for Learning Feature Sparse Principal Components
Figure 2 for Learning Feature Sparse Principal Components
Figure 3 for Learning Feature Sparse Principal Components
Figure 4 for Learning Feature Sparse Principal Components

  Access Paper or Ask Questions

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network


May 24, 2019
Junyu Gao, Qi Wang, Xuelong Li

Figure 1 for PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Figure 2 for PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Figure 3 for PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Figure 4 for PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
* accepted by IEEE T-CSVT 
  Access Paper or Ask Questions

Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification


May 07, 2019
Qi Wang, Xiange He, Xuelong Li

Figure 1 for Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Figure 2 for Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Figure 3 for Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Figure 4 for Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
* IEEE Transactions on Geoscience and Remote Sensing ( Volume: 57 , Issue: 2 , Feb. 2019 ) 
 * 14 pages, 7 figures, TGRS2019 
  Access Paper or Ask Questions

GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection


May 05, 2019
Qi Wang, Senior Member, IEEE, Zhenghang Yuan, Qian Du, Fellow, IEEE, Xuelong Li, Fellow, IEEE

Figure 1 for GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
Figure 2 for GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
Figure 3 for GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
Figure 4 for GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection

  Access Paper or Ask Questions

Optimal Clustering Framework for Hyperspectral Band Selection


Apr 30, 2019
Qi Wang, Fahong Zhang, Xuelong Li

Figure 1 for Optimal Clustering Framework for Hyperspectral Band Selection
Figure 2 for Optimal Clustering Framework for Hyperspectral Band Selection
Figure 3 for Optimal Clustering Framework for Hyperspectral Band Selection
Figure 4 for Optimal Clustering Framework for Hyperspectral Band Selection
* IEEE Trans. Geoscience and Remote Sensing, vol. 56, no. 10, pp. 5910-5922, 2018 
  Access Paper or Ask Questions