Understanding Human-Computer Interactions in Map Revision. - Jun Zhou 001; Walter F. Bischof; Terry Caelli (SSPR/SPR, 2004)

Extracting Lines in Noisy Image Using Directional Information. - Jun Zhou 001; Walter F. Bischof; G. Arturo Sanchez-Azofeifa (ICPR (2), 2006)

Knowledge Transfer in Semi-automatic Image Interpretation. - Jun Zhou 001; Li Cheng 001; Terry Caelli; Walter F. Bischof (HCI (3), 2007)

Online Learning With Novelty Detection in Human-Guided Road Tracking. - Jun Zhou 001; Li Cheng 001; Walter F. Bischof (IEEE Trans. Geosci. Remote. Sens., 2007)

Prediction and Change Detection in Sequential Data for Interactive Applications. - Jun Zhou 001; Li Cheng 001; Walter F. Bischof (AAAI, 2008)

A quasi-random sampling approach to image retrieval. - Jun Zhou 001; Antonio Robles-Kelly (CVPR, 2008)

Content-Based Image Retrieval via Subspace-Projected Salient Features. - Jyun-Hao Huang; Ali Zia; Jun Zhou 001; Antonio Robles-Kelly (DICTA, 2008)

Texture Descriptors via Stable Distributions. - Pattaraporn Khuwuthyakorn; Antonio Robles-Kelly; Jun Zhou 001 (DICTA, 2008)

A Graph-Based Feature Combination Approach to Object Tracking. - Quang Anh Nguyen; Antonio Robles-Kelly; Jun Zhou 001 (ACCV (2), 2009)

An affine Invariant hyperspectral texture descriptor based upon heavy-tailed distributions and fourier analysis. - Pattaraporn Khuwuthyakorn; Antonio Robles-Kelly; Jun Zhou 001 (CVPR Workshops, 2009)

Automatic Detection of Defective Zebrafish Embryos via Shape Analysis. - Haifeng Zhao 002; Jun Zhou 001; Antonio Robles-Kelly; Jianfeng Lu 003; Jing-Yu Yang 001 (DICTA, 2009)

Learning the Optimal Transformation of Salient Features for Image Classification. - Jun Zhou 001; Zhouyu Fu; Antonio Robles-Kelly (DICTA, 2009)

L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Yuntao Qian; Sen Jia 001; Jun Zhou 001; Antonio Robles-Kelly (DICTA, 2010)

Object of Interest Detection by Saliency Learning. - Pattaraporn Khuwuthyakorn; Antonio Robles-Kelly; Jun Zhou 001 (ECCV (2), 2010)

Regisration of hyperspectral and trichromatic images via cross cumulative residual entropy maximisation. - Mahmudul Hasan 002; Mark R. Pickering; Antonio Robles-Kelly; Jun Zhou 001; Xiuping Jia (ICIP, 2010)

Image Inpainting Based on Local Optimisation. - Jun Zhou 001; Antonio Robles-Kelly (ICPR, 2010)

Multi-spectral remote sensing image registration via spatial relationship analysis on sift keypoints. - Mahmudul Hasan 002; Xiuping Jia; Antonio Robles-Kelly; Jun Zhou 001; Mark R. Pickering (IGARSS, 2010)

A Structured Learning Approach to Attributed Graph Embedding. - Haifeng Zhao 002; Jun Zhou 001; Antonio Robles-Kelly (SSPR/SPR, 2010)

Mixing Linear SVMs for Nonlinear Classification. - Zhouyu Fu; Antonio Robles-Kelly; Jun Zhou 001 (IEEE Trans. Neural Networks, 2010)

On the Use of the Chi-Squared Distance for the Structured Learning of Graph Embeddings. - Haifeng Zhao 002; Antonio Robles-Kelly; Jun Zhou 001 (DICTA, 2011)

Material-specific user colour profiles from imaging spectroscopy data. - Lin Gu 003; Cong Phuoc Huynh; Antonio Robles-Kelly; Jun Zhou 001 (ICCV, 2011)

Structured sparse model based feature selection and classification for hyperspectral imagery. - Yuntao Qian; Jun Zhou 001; Minchao Ye; Qi Wang (IGARSS, 2011)

Graph attribute embedding via Riemannian submersion learning. - Haifeng Zhao 002; Antonio Robles-Kelly; Jun Zhou 001; Jianfeng Lu 003; Jing-Yu Yang 001 (Comput. Vis. Image Underst., 2011)

MILIS: Multiple Instance Learning with Instance Selection. - Zhouyu Fu; Antonio Robles-Kelly; Jun Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization. - Yuntao Qian; Sen Jia 001; Jun Zhou 001; Antonio Robles-Kelly (IEEE Trans. Geosci. Remote. Sens., 2011)

A Bag Reconstruction Method for Multiple Instance Classification and Group Record Linkage. - Zhichun Fu; Jun Zhou 001; Furong Peng; Peter Christen (ADMA, 2012)

Object detection via foreground contour feature selection and part-based shape model. - Huigang Zhang; Junxiu Wang; Xiao Bai 001; Jun Zhou 001; Jian Cheng 001; Huijie Zhao (ICPR, 2012)

Multiple Instance Learning for Group Record Linkage. - Zhichun Fu; Jun Zhou 001; Peter Christen; Mac Boot (PAKDD (1), 2012)

An Incremental Structured Part Model for Image Classification. - Huigang Zhang; Xiao Bai 001; Jian Cheng 001; Jun Zhou 001; Huijie Zhao (SSPR/SPR, 2012)

Learning Discriminative Local Patterns with Unrestricted Structure for Face Recognition. - Douglas Brown; Yongsheng Gao 001; Jun Zhou 001 (DICTA, 2013)

Soil Biochar Quantification via Hyperspectral Unmixing. - Lei Tong; Jun Zhou 001; Chengyuan Xu; Yuntao Qian; Yongsheng Gao 001 (DICTA, 2013)

A 3D Polygonal Line Chains Matching Method for Face Recognition. - Xun Yu; Yongsheng Gao 001; Jun Zhou 001 (DICTA, 2013)

3D Plant Modelling via Hyperspectral Imaging. - Jie Liang 003; Ali Zia; Jun Zhou 001; Xavier Sirault (ICCV Workshops, 2013)

A hypergraph based semi-supervised band selection method for hyperspectral image classification. - Zhouxiao Guo; Xiao Bai 001; Zhihong Zhang 001; Jun Zhou 001 (ICIP, 2013)

Salient object detection in hyperspectral imagery. - Jie Liang 003; Jun Zhou 001; Xiao Bai 001; Yuntao Qian (ICIP, 2013)

Manifold alignment based color transfer for multiview image stitching. - Yuntao Qian; Danping Liao; Jun Zhou 001 (ICIP, 2013)

Pavement crack detection based on saliency and statistical features. - Wei Xu; Zhenmin Tang; Jun Zhou 001; Jundi Ding (ICIP, 2013)

Label propagation hashing based on p-stable distribution and coordinate descent. - Haichuan Yang; Xiao Bai 001; Chuntian Liu; Jun Zhou 001 (ICIP, 2013)

Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models. - Zhouxiao Guo; Haichuan Yang; Xiao Bai 001; Zhihong Zhang 001; Jun Zhou 001 (IGARSS, 2013)

Marginalized kernel-based feature fusion method for VHR object classification. - Chuntian Liu; Wei Wei; Xiao Bai 001; Jun Zhou 001 (IGARSS, 2013)

Use of SIMD Vector Operations to Accelerate Application Code Performance on Low-Powered ARM and Intel Platforms. - Gaurav Mitra; Beau Johnston; Alistair P. Rendell; Eric McCreath; Jun Zhou 001 (IPDPS Workshops, 2013)

Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy. - Huigang Zhang; Xiao Bai 001; Huaxin Zheng; Huijie Zhao; Jun Zhou 001; Jian Cheng 001; Hanqing Lu (IEEE Geosci. Remote. Sens. Lett., 2013)

Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features. - Yuntao Qian; Minchao Ye; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2013)

Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy. - Lin Gu 003; Antonio Robles-Kelly; Jun Zhou 001 (IEEE Trans. Image Process., 2013)

Object Detection Via Structural Feature Selection and Shape Model. - Huigang Zhang; Xiao Bai 001; Jun Zhou 001; Jian Cheng 001; Huijie Zhao (IEEE Trans. Image Process., 2013)

Adaptive Object Retrieval with Kernel Reconstructive Hashing. - Haichuan Yang; Xiao Bai 001; Jun Zhou 001; Peng Ren 001; Zhihong Zhang 001; Jian Cheng 001 (CVPR, 2014)

Dual Graph Regularized NMF for Hyperspectral Unmixing. - Lei Tong; Jun Zhou 001; Xiao Bai 001; Yongsheng Gao 001 (DICTA, 2014)

Semi-randomized hashing for large scale data retrieval. - Haichuan Yang; Xiao Bai 001; Jun Zhou 001; Peng Ren 001; Jian Cheng 001; Lu Bai 001 (DSAA, 2014)

Visualization of Hyperspectral Imaging Data Based on Manifold Alignment. - Danping Liao; Yuntao Qian; Jun Zhou 001 (ICPR, 2014)

Face Recognition Using 3D Directional Corner Points. - Xun Yu; Yongsheng Gao 001; Jun Zhou 001 (ICPR, 2014)

A Graph Matching Method for Historical Census Household Linkage. - Zhichun Fu; Peter Christen; Jun Zhou 001 (PAKDD (1), 2014)

Automatic Record Linkage of Individuals and Households in Historical Census Data. - Zhichun Fu; H. M. Boot; Peter Christen; Jun Zhou 001 (Int. J. Humanit. Arts Comput., 2014)

VHR Object Detection Based on Structural Feature Extraction and Query Expansion. - Xiao Bai 001; Huigang Zhang; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2014)

Data-Dependent Hashing Based on p-Stable Distribution. - Xiao Bai 001; Haichuan Yang; Jun Zhou 001; Peng Ren 001; Jian Cheng 001 (IEEE Trans. Image Process., 2014)

Relative Depth Estimation from Hyperspectral Data. - Ali Zia; Jun Zhou 001; Yongsheng Gao 001 (DICTA, 2015)

3D local derivative pattern for hyperspectral face recognition. - Jie Liang 003; Jun Zhou 001; Yongsheng Gao 001 (FG, 2015)

Learning Graph Model for Different Dimensions Image Matching. - Haoyi Zhou; Xiao Bai 001; Jun Zhou 001; Haichuan Yang; Yun Liu 014 (GbRPR, 2015)

Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing. - Zhenqiu Shu; Jun Zhou 001; Lei Tong; Xiao Bai 001; Chunxia Zhao (ICIP, 2015)

Band weighting and selection based on hyperplane margin maximization for hyperspectral image classification. - Cheng Yan; Xiao Bai 001; Jun Zhou 001 (IGARSS, 2015)

3D Reconstruction from Hyperspectral Images. - Ali Zia; Jie Liang 003; Jun Zhou 001; Yongsheng Gao 001 (WACV, 2015)

Multiple graph regularized NMF for hyperspectral unmixing. - Lei Tong; Jun Zhou 001; Yuntao Qian; Yongsheng Gao 001 (WHISPERS, 2015)

On the sampling strategies for evaluation of joint spectral-spatial information based classifiers. - Jun Zhou 001; Jie Liang 003; Yuntao Qian; Yongsheng Gao 001; Lei Tong (WHISPERS, 2015)

An incremental structured part model for object recognition. - Xiao Bai 001; Peng Ren 001; Huigang Zhang; Jun Zhou 001 (Neurocomputing, 2015)

Object Classification via Feature Fusion Based Marginalized Kernels. - Xiao Bai 001; Chuntian Liu; Peng Ren 001; Jun Zhou 001; Huijie Zhao; Yun Su (IEEE Geosci. Remote. Sens. Lett., 2015)

Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model. - Xiao Bai 001; Zhouxiao Guo; Yanyang Wang; Zhihong Zhang 001; Jun Zhou 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral-Spatial Hyperspectral Imagery Denoising. - Minchao Ye; Yuntao Qian; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2015)

Bilinear Discriminant Analysis Hashing: A Supervised Hashing Approach for High-Dimensional Data. - Yanzhen Liu; Xiao Bai 001; Cheng Yan; Jun Zhou 001 (ACCV (5), 2016)

Affine Invariant Point-Set Matching Using Convex Hull Bisection. - Yue Li; Bin Wang 041; Yongsheng Gao 001; Jun Zhou 001 (DICTA, 2016)

Hashing with Non-Linear Manifold Learning. - Yanzhen Liu; Xiao Bai 001; Cheng Yan; Jing Wang 062; Jun Zhou 001 (DICTA, 2016)

Boosting Radial Strings for 3D Face Recognition with Expressions and Occlusions. - Xun Yu; Yongsheng Gao 001; Jun Zhou 001 (DICTA, 2016)

Structured Discriminative Nonnegative Matrix Factorization for hyperspectral unmixing. - Xue Li; Jun Zhou 001; Lei Tong; Xun Yu; Jianhui Guo; Chunxia Zhao (ICIP, 2016)

Tensor morphological profile for hyperspectral image classification. - Jie Liang 003; Jun Zhou 001; Yongsheng Gao 001 (ICIP, 2016)

Nonnegative matrix factorization with endmember sparse graph learning for hyperspectral unmixing. - Bin Qian 006; Jun Zhou 001; Lei Tong; Xiaobo Shen 001; Fan Liu 003 (ICIP, 2016)

3D face recognition under partial occlusions using radial strings. - Xun Yu; Yongsheng Gao 001; Jun Zhou 001 (ICIP, 2016)

CRF learning with CNN features for hyperspectral image segmentation. - Fahim Irfan Alam; Jun Zhou 001; Alan Wee-Chung Liew; Xiuping Jia (IGARSS, 2016)

Discriminative weighted band selection via one-class SVM for hyperspectral imagery. - Yu Tang; Enlong Fan; Cheng Yan; Xiao Bai 001; Jun Zhou 001 (IGARSS, 2016)

Describing and learning of related parts based on latent structural model in big data. - Lei Liu; Xiao Bai 001; Huigang Zhang; Jun Zhou 001; Wenzhong Tang (Neurocomputing, 2016)

Local and global regularized sparse coding for data representation. - Zhenqiu Shu; Jun Zhou 001; Pu Huang; Xun Yu; Zhangjing Yang; Chunxia Zhao (Neurocomputing, 2016)

Band Weighting via Maximizing Interclass Distance for Hyperspectral Image Classification. - Cheng Yan; Xiao Bai 001; Peng Ren 001; Lu Bai 001; Wenzhong Tang; Jun Zhou 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Discriminative sparse neighbor coding. - Xiao Bai 001; Cheng Yan; Peng Ren 001; Lu Bai 001; Jun Zhou 001 (Multim. Tools Appl., 2016)

Maximum margin hashing with supervised information. - Haichuan Yang; Xiao Bai 001; Yanzhen Liu; Yanyang Wang; Lu Bai 001; Jun Zhou 001; Wenzhong Tang (Multim. Tools Appl., 2016)

A Manifold Alignment Approach for Hyperspectral Image Visualization With Natural Color. - Danping Liao; Yuntao Qian; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2016)

Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers. - Lei Tong; Jun Zhou 001; Yuntao Qian; Xiao Bai 001; Yongsheng Gao 001 (IEEE Trans. Geosci. Remote. Sens., 2016)

Hierarchical Hashing for Image Retrieval. - Cheng Yan; Xiao Bai 001; Jun Zhou 001; Yun Liu 014 (CCCV (2), 2017)

Material Based Boundary Detection in Hyperspectral Images. - Suhad Lateef Al-khafaji; Ali Zia; Jun Zhou 001; Alan Wee-Chung Liew (DICTA, 2017)

Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification. - Fahim Irfan Alam; Jun Zhou 001; Lei Tong; Alan Wee-Chung Liew; Yongsheng Gao 001 (DICTA, 2017)

An Automatic Technique for Power Line Pylon Detection from Point Cloud Data. - Mohammad Awrangjeb; David Jonas; Jun Zhou 001 (DICTA, 2017)

Deep Residual Convolutional Neural Network for Hyperspectral Image Super-Resolution. - Chen Wang 026; Yun Liu 014; Xiao Bai 001; Wenzhong Tang; Peng Lei; Jun Zhou 001 (ICIG (3), 2017)

Heterogeneous face recognition via grassmannian based nearest subspace search. - Yuan Tian; Cheng Yan; Xiao Bai 001; Jun Zhou 001 (ICIP, 2017)

Non-local similarity based tensor decomposition for hyperspectral image denoising. - Fan Xu; Xiao Bai 001; Jun Zhou 001 (ICIP, 2017)

Melanoma Detection Based on Mahalanobis Distance Learning and Constrained Graph Regularized Nonnegative Matrix Factorization. - Yanyang Gu; Jun Zhou 001; Bin Qian 006 (WACV, 2017)

Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation. - Fahim Irfan Alam; Jun Zhou 001; Alan Wee-Chung Liew; Xiuping Jia; Jocelyn Chanussot; Yongsheng Gao 001 (CoRR, 2017)

Differential weights-based band selection for hyperspectral image classification. - Yun Liu 014; Chen Wang 026; Yang Wang; Xiao Bai 001; Jun Zhou 001; Lu Bai 001 (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Sparse 3D directional vertices vs continuous 3D curves: Efficient 3D surface matching and its application for single model face recognition. - Xun Yu; Yongsheng Gao 001; Jun Zhou 001 (Pattern Recognit., 2017)

Exploring Structural Consistency in Graph Regularized Joint Spectral-Spatial Sparse Coding for Hyperspectral Image Classification. - Changhong Liu; Jun Zhou 001; Jie Liang 003; Yuntao Qian; Hanxi Li; Yongsheng Gao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Region-Based Structure Preserving Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Lei Tong; Jun Zhou 001; Xue Li; Yuntao Qian; Yongsheng Gao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification. - Jie Liang 003; Jun Zhou 001; Yuntao Qian; Lian Wen; Xiao Bai 001; Yongsheng Gao 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery. - Yuntao Qian; Fengchao Xiong; Shan Zeng; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2017)

Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification. - Minchao Ye; Yuntao Qian; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2017)

Face Recognition with Multi-channel Local Mesh High-order Pattern Descriptor and Convolutional Neural Network. - M. Daud Abdullah Asif; Yongsheng Gao 001; Jun Zhou 001 (DICTA, 2018)

Bay Lobsters Moulting Stage Analysis Based on High-Order Texture Descriptor. - M. Daud Abdullah Asif; Yongsheng Gao 001; Jun Zhou 001 (DICTA, 2018)

Band Weighting Network for Hyperspectral Image Classification. - Jing Wang 062; Jun Zhou 001 (DICTA, 2018)

Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization. - Fengchao Xiong; Jun Zhou 001; Yuntao Qian (ICIP, 2018)

Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter. - Kun Qian 015; Jun Zhou 001; Fengchao Xiong; Huixin Zhou; Juan Du 005 (ICSM, 2018)

Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing. - Fengchao Xiong; Jingzhou Chen; Jun Zhou 001; Yuntao Qian (IGARSS, 2018)

A Hyperspectral Dermoscopy Dataset for Melanoma Detection. - Yanyang Gu; Yi-Ping Partridge; Jun Zhou 001 (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Binary Coding by Matrix Classifier for Efficient Subspace Retrieval. - Lei Zhou 008; Xiao Bai 001; Xianglong Liu 001; Jun Zhou 001 (ICMR, 2018)

Generative Adversarial Product Quantisation. - Litao Yu; Yongsheng Gao 001; Jun Zhou 001 (ACM Multimedia, 2018)

Real- Time Computing for Droplet Detection and Recognition. - Haifeng Zhao 002; Jun Zhou 001; Yanyang Gu; Chee Meng Benjamin Ho; Say Hwa Tan; Yongsheng Gao 001 (RCAR, 2018)

An Efficient Method for Boundary Detection from Hyperspectral Imagery. - Suhad Lateef Al-Khafaji; Jun Zhou 001; Alan Wee-Chung Liew (S+SSPR, 2018)

Cross-Model Retrieval with Reconstruct Hashing. - Yun Liu 014; Cheng Yan; Xiao Bai 001; Jun Zhou 001 (S+SSPR, 2018)

Deep Homography Estimation with Pairwise Invertibility Constraint. - Xiang Wang 014; Chen Wang 026; Xiao Bai 001; Yun Liu 014; Jun Zhou 001 (S+SSPR, 2018)

Iterative Deep Subspace Clustering. - Lei Zhou 008; Shuai Wang 049; Xiao Bai 001; Jun Zhou 001; Edwin R. Hancock (S+SSPR, 2018)

Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification. - Fahim Irfan Alam; Jun Zhou 001; Alan Wee-Chung Liew; Jun Jo 001; Yongsheng Gao 001 (WHISPERS, 2018)

A non-destructive determination of peroxide values, total nitrogen and mineral nutrients in an edible tree nut using hyperspectral imaging. - Shahla Hosseini Bai; Iman Tahmasbian; Jun Zhou 001; Tio Nevenimo; Godfrey Hannet; David Walton; Bruce Randall; Tsvakai Gama; Helen M. Wallace (Comput. Electron. Agric., 2018)

Fast Subspace Clustering Based on the Kronecker Product. - Lei Zhou 008; Xiao Bai 001; Xianglong Liu 001; Jun Zhou 001; Edwin R. Hancock (CoRR, 2018)

Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression. - Dong Wang; Lei Zhou 008; Xueni Zhang; Xiao Bai 001; Jun Zhou 001 (CoRR, 2018)

Spectral-spatial features for material based object tracking in hyperspectral videos. - Fengchao Xiong; Jun Zhou 001; Kun Qian 015; Yuntao Qian (CoRR, 2018)

Adaptive hash retrieval with kernel based similarity. - Xiao Bai 001; Cheng Yan; Haichuan Yang; Lu Bai 001; Jun Zhou 001; Edwin Robert Hancock (Pattern Recognit., 2018)

Material based salient object detection from hyperspectral images. - Jie Liang 003; Jun Zhou 001; Lei Tong; Xiao Bai 001; Bin Wang 041 (Pattern Recognit., 2018)

Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising. - Xiao Bai 001; Fan Xu; Lei Zhou 008; Yan Xing; Lu Bai 001; Jun Zhou 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Fusion of Hyperspectral and LiDAR Data Using Discriminant Correlation Analysis for Land Cover Classification. - Farah Jahan; Jun Zhou 001; Mohammad Awrangjeb; Yongsheng Gao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Corrections to "Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification". - Minchao Ye; Yuntao Qian; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2018)

Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images. - Suhad Lateef Al-khafaji; Jun Zhou 001; Ali Zia; Alan Wee-Chung Liew (IEEE Trans. Image Process., 2018)

Efficient Local Search for Minimum Dominating Sets in Large Graphs. - Yi Fan; Yongxuan Lai; Chengqian Li; Nan Li 021; Zongjie Ma; Jun Zhou 001; Longin Jan Latecki; Kaile Su (DASFAA (2), 2019)

Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification. - Fahim Irfan Alam; Jun Zhou 001; Alan Wee-Chung Liew (DICTA, 2019)

Insect Classification Using Squeeze-and-Excitation and Attention Modules - a Benchmark Study. - Yoon Jin Park; Gervase Tuxworth; Jun Zhou 001 (ICIP, 2019)

A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks. - Dong Wang; Xiao Bai 001; Lei Zhou 008; Jun Zhou 001 (ICTAI, 2019)

Texture and Shape Features for Grass Weed Classification Using Hyperspectral Remote Sensing Images. - Adnan Farooq; Xiuping Jia; Jun Zhou 001 (IGARSS, 2019)

Deep Unfolded Iterative Shrinkage-Thresholding Model for Hyperspectral Unmixing. - Qipeng Qian; Fengchao Xiong; Jun Zhou 001 (IGARSS, 2019)

Hyperspectral Image Classification Based on Non-Local Neural Networks. - Chen Wang 031; Xiao Bai 001; Lei Zhou 008; Jun Zhou 001 (IGARSS, 2019)

Attention Networks for Band Weighting And Selection In Hyperspectral Remote Sensing Image Classification. - Jing Wang 062; Jun Zhou 001; Weiqing Huang; Jackie Fang Chen (IGARSS, 2019)

Latent Distribution Preserving Deep Subspace Clustering. - Lei Zhou 008; Xiao Bai 001; Dong Wang; Xianglong Liu 001; Jun Zhou 001; Edwin R. Hancock (IJCAI, 2019)

Deep Hashing by Discriminating Hard Examples. - Cheng Yan; Guansong Pang; Xiao Bai 001; Chunhua Shen; Jun Zhou 001; Edwin R. Hancock (ACM Multimedia, 2019)

Gradient-Based Pooling for Convolutional Neural Networks. - Mohammad Nikzad; Yongsheng Gao 001; Jun Zhou 001 (VCIP, 2019)

Automatic Live and Dead Cell Classification via Hyperspectral Imaging. - He Chen; Chee Meng Benjamin Ho; Haofei Wang; Say Hwa Tan; Chun-Xia Zhao; Nam-Trung Nguyen; Yongsheng Gao 001; Jun Zhou 001 (WHISPERS, 2019)

Knowledge Transfer via Convolution Neural Networks for Multi-Resolution Lawn Weed Classification. - Adnan Farooq; Xiuping Jia; Jiankun Hu; Jun Zhou 001 (WHISPERS, 2019)

Dynamic Material-Aware Object Tracking in Hyperspectral Videos. - Fengchao Xiong; Jun Zhou 001; Jocelyn Chanussot; Yuntao Qian (WHISPERS, 2019)

Influence of emissivity angular variation on land surface temperature retrieved using the generalized split-window algorithm. - Tian Hu; Hua Li 005; Biao Cao; Albert I. J. M. van Dijk; Luigi J. Renzullo; Zhihong Xu; Jun Zhou 001; Yongming Du; Qinhuo Liu (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Foreground-background separation technique for crack detection. - Fereshteh Nayyeri; Lei Hou 007; Jun Zhou 001; Hong Guan 001 (Comput. Aided Civ. Infrastructure Eng., 2019)

Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching. - Youmin Zhang 005; Yimin Chen; Xiao Bai 001; Jun Zhou 001; Kun Yu; Zhiwei Li 006; Kuiyuan Yang (CoRR, 2019)

Cross-modal hashing with semantic deep embedding. - Cheng Yan; Xiao Bai 001; Shuai Wang 049; Jun Zhou 001; Edwin R. Hancock (Neurocomputing, 2019)

Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images. - Chen Wang 026; Xiao Bai 001; Shuai Wang 049; Jun Zhou 001; Peng Ren 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

Self-Supervised deep homography estimation with invertibility constraints. - Chen Wang 026; Xiang Wang 014; Xiao Bai 001; Yun Liu 014; Jun Zhou 001 (Pattern Recognit. Lett., 2019)

Multi-Resolution Weed Classification via Convolutional Neural Network and Superpixel Based Local Binary Pattern Using Remote Sensing Images. - Adnan Farooq; Xiuping Jia; Jiankun Hu; Jun Zhou 001 (Remote. Sens., 2019)

Attend in Bands: Hyperspectral Band Weighting and Selection for Image Classification. - Jing Wang 062; Jun Zhou 001; Weiqing Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification. - Fahim Irfan Alam; Jun Zhou 001; Alan Wee-Chung Liew; Xiuping Jia; Jocelyn Chanussot; Yongsheng Gao 001 (IEEE Trans. Geosci. Remote. Sens., 2019)

Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification. - Sen Jia 001; Xianglong Deng; Jiasong Zhu; Meng Xu 002; Jun Zhou 001; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2019)

3-D Gaussian-Gabor Feature Extraction and Selection for Hyperspectral Imagery Classification. - Sen Jia 001; Jiayue Zhuang; Lin Deng; Jiasong Zhu; Meng Xu 002; Jun Zhou 001; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2019)

Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization. - Fengchao Xiong; Yuntao Qian; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2019)

Hyperspectral Restoration via L0 Gradient Regularized Low-Rank Tensor Factorization. - Fengchao Xiong; Jun Zhou 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2019)

Deep Residual-Dense Lattice Network for Speech Enhancement. - Mohammad Nikzad; Aaron Nicolson; Yongsheng Gao 001; Jun Zhou 001; Kuldip K. Paliwal; Fanhua Shang (AAAI, 2020)

M2-Net: A Multi-scale Multi-level Feature Enhanced Network for Object Detection in Optical Remote Sensing Images. - Xinhai Ye; Fengchao Xiong; Jianfeng Lu 003; Haifeng Zhao 002; Jun Zhou 001 (DICTA, 2020)

BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking. - Zhuanfeng Li; Fengchao Xiong; Jun Zhou 001; Jing Wang 062; Jianfeng Lu 003; Yuntao Qian (ICIP, 2020)

Matrix Classifier On Dynamic Functional Connectivity For Mci Identification. - Lei Zhou 008; Liang Zhang; Xiao Bai 001; Jun Zhou 001 (ICIP, 2020)

Fast Subspace Clustering Based on the Kronecker Product. - Lei Zhou 008; Xiao Bai 001; Liang Zhang; Jun Zhou 001; Edwin R. Hancock (ICPR, 2020)

DE-Net: Dilated Encoder Network for Automated Tongue Segmentation. - Hui Tang; Bin Wang 041; Jun Zhou 001; Yongsheng Gao 001 (ICPR, 2020)

A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background. - Chen Wang 026; Jun Zhou 001; Chengyuan Xu; Xiao Bai 001 (ICPRAI, 2020)

Nonlocal Low-Rank Nonnegative Tensor Factorization for Hyperspectral Unmixing. - Fengchao Xiong; Kun Qian 015; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (IGARSS, 2020)

On agricultural drought monitoring in Australia using Himawari-8 geostationary thermal infrared observations. - Tian Hu; Albert I. J. M. van Dijk; Luigi J. Renzullo; Zhihong Xu; Jie He; Siyuan Tian; Jun Zhou 001; Hua Li 005 (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Dropout with Tabu Strategy for Regularizing Deep Neural Networks. - Zongjie Ma; Abdul Sattar 001; Jun Zhou 001; Qingliang Chen; Kaile Su (Comput. J., 2020)

Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss. - Cheng Yan; Guansong Pang; Xiao Bai 001; Jun Zhou 001; Lin Gu 003 (CoRR, 2020)

Multi-layer Feature Aggregation for Deep Scene Parsing Models. - Litao Yu; Yongsheng Gao 001; Jun Zhou 001; Jian Zhang 002; Qiang Wu 001 (CoRR, 2020)

Learning binary code for fast nearest subspace search. - Lei Zhou 008; Xiao Bai 001; Xianglong Liu 001; Jun Zhou 001; Edwin R. Hancock (Pattern Recognit., 2020)

ℱ3-Net: Feature Fusion and Filtration Network for Object Detection in Optical Remote Sensing Images. - Xinhai Ye; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (Remote. Sens., 2020)

Inverse Coefficient of Variation Feature and Multilevel Fusion Technique for Hyperspectral and LiDAR Data Classification. - Farah Jahan; Jun Zhou 001; Mohammad Awrangjeb; Yongsheng Gao 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Adaptive Graph Regularized Multilayer Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Lei Tong; Jun Zhou 001; Bin Qian 006; Jing Yu 005; Chuangbai Xiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Fengchao Xiong; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Lei Zhou 008; Xueni Zhang; Jianbo Wang; Xiao Bai 001; Lei Tong; Liang Zhang; Jun Zhou 001; Edwin R. Hancock (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification. - Sen Jia 001; Xianglong Deng; Meng Xu 002; Jun Zhou 001; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2020)

Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing. - Yuntao Qian; Fengchao Xiong; Qipeng Qian; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Material Based Object Tracking in Hyperspectral Videos. - Fengchao Xiong; Jun Zhou 001; Yuntao Qian (IEEE Trans. Image Process., 2020)

Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification. - Yanyang Gu; Zongyuan Ge; C. Paul Bonnington; Jun Zhou 001 (IEEE J. Biomed. Health Informatics, 2020)

Goal-Oriented Gaze Estimation for Zero-Shot Learning. - Yang Liu 357; Lei Zhou 008; Xiao Bai 001; Yifei Huang 002; Lin Gu 003; Jun Zhou 001; Tatsuya Harada (CVPR, 2021)

Multi-Resolution ResNet for Road and Bridge Crack Detection. - Fereshteh Nayyeri; Jun Zhou 001 (DICTA, 2021)

NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. - Fengchao Xiong; Jun Zhou 001; Minchao Ye; Jianfeng Lu 003; Yuntao Qian (ICASSP, 2021)

Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image. - Guanyiman Fu; Fengchao Xiong; Shuyin Tao; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (IGARSS, 2021)

Spectral and Spatial Residual Attention Network for Joint Hyperspectral and Lidar Data Classification. - Jing Wang 062; Jun Zhou 001; Xinwen Liu 003; Farah Jahan (IGARSS, 2021)

Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising. - Mohammad Nikzad; Yongsheng Gao 001; Jun Zhou 001 (IJCAI, 2021)

Early Detection of Sugarcane Smut Disease in Hyperspectral Images. - Dong Bao; Jun Zhou 001; Shamsul Arafin Bhuiyan; Ali Zia; Rebecca Ford; Yongsheng Gao 001 (IVCNZ, 2021)

Spectral-Spatial-Temporal Attention Network for Hyperspectral Tracking. - Zhuanfeng Li; Xinhai Ye; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (WHISPERS, 2021)

Composite description based on color vector quantization and visual primary features for CBIR tasks. - M. Daud Abdullah Asif; Jing Wang 062; Yongsheng Gao 001; Jun Zhou 001 (Multim. Tools Appl., 2021)

A unified weight learning and low-rank regression model for robust complex error modeling. - Miaohua Zhang; Yongsheng Gao 001; Jun Zhou 001 (Pattern Recognit., 2021)

Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation. - Chen Wang 026; Xiao Bai 001; Xiang Wang 014; Xianglong Liu 001; Jun Zhou 001; Xinyu Wu 001; Hongdong Li; Dacheng Tao (IEEE Trans. Cybern., 2021)

Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization. - Xiyou Fu; Sen Jia 001; Lina Zhuang; Meng Xu 002; Jun Zhou 001; Qingquan Li (IEEE Trans. Geosci. Remote. Sens., 2021)

A Lightweight Convolutional Neural Network for Hyperspectral Image Classification. - Sen Jia 001; Zhijie Lin; Meng Xu 002; Qiang Huang; Jun Zhou 001; Xiuping Jia; Qingquan Li (IEEE Trans. Geosci. Remote. Sens., 2021)

Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification. - Sen Jia 001; Qingqing Zhao; Jiayue Zhuang; Dingding Tang; Yaqian Long; Meng Xu 002; Jun Zhou 001; Qingquan Li (IEEE Trans. Geosci. Remote. Sens., 2021)

Multiple Feature-Based Superpixel-Level Decision Fusion for Hyperspectral and LiDAR Data Classification. - Sen Jia 001; Zhangwei Zhan; Meng Zhang; Meng Xu 002; Qiang Huang; Jun Zhou 001; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2021)

Exploring Chromatic Aberration and Defocus Blur for Relative Depth Estimation From Monocular Hyperspectral Image. - Ali Zia; Jun Zhou 001; Yongsheng Gao 001 (IEEE Trans. Image Process., 2021)

Discriminant Tensor-Based Manifold Embedding for Medical Hyperspectral Imagery. - Meng Lv; Wei Li 032; Tianhong Chen; Jun Zhou 001; Ran Tao 003 (IEEE J. Biomed. Health Informatics, 2021)

Parameter-Efficient Deep Neural Networks With Bilinear Projections. - Litao Yu; Yongsheng Gao 001; Jun Zhou 001; Jian Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. - Jiawei Zhang; Xiang Wang 014; Xiao Bai 001; Chen Wang 026; Lei Huang 015; Yimin Chen; Lin Gu 003; Jun Zhou 001; Tatsuya Harada; Edwin R. Hancock (CVPR, 2022)

Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. - Yang Liu 357; Lei Zhou 008; Pengcheng Zhang 003; Xiao Bai 001; Lin Gu 003; Xiaohan Yu 001; Jun Zhou 001; Edwin R. Hancock (ECCV (24), 2022)

Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking. - Zhuanfeng Li; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (ICASSP, 2022)

Multitask Sparse Neural Network for Hyperspectral Image Denoising. - Fengchao Xiong; Minchao Ye; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (ICASSP, 2022)

A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. - Miaohua Zhang; Yongsheng Gao 001; Jun Zhou 001 (ICASSP, 2022)

Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising. - Fengchao Xiong; Minchao Ye; Jun Zhou 001; Yuntao Qian (IGARSS, 2022)

Learning Uncertainty-Aware Label Transition for Weakly Supervised Solar Panel Mapping with Aerial Images. - Jue Zhang; Xiuping Jia; Jun Zhou 001; Jiankun Hu (IGARSS, 2022)

Learning Hierarchical Semantic Correspondences for Cross-Modal Image-Text Retrieval. - Sheng Zeng; Changhong Liu; Jun Zhou 001; Yong Chen; Aiwen Jiang; Hanxi Li (ICMR, 2022)

Similarity-Based Hyperspectral Band Selection Using Deep Reinforcement Learning. - Dong Bao; Gervase Tuxworth; Jun Zhou 001 (WHISPERS, 2022)

Cycle-autoencoder based block-sparse joint representation for single sample face recognition. - Fan Liu 003; Fei Wang; Yu Wang; Jun Zhou 001; Feng Xu 008 (Comput. Electr. Eng., 2022)

PP-StructureV2: A Stronger Document Analysis System. - Chenxia Li; Ruoyu Guo; Jun Zhou 001; Mengtao An; Yuning Du; Lingfeng Zhu; Yi Liu 065; Xiaoguang Hu; Dianhai Yu (CoRR, 2022)

3D data computation and visualization. - Xiao Bai 001; Jun Zhou 001; Xin Ning 001; Chen Wang 026 (Displays, 2022)

Learning multi-view visual correspondences with self-supervision. - Pengcheng Zhang 003; Lei Zhou 008; Xiao Bai 001; Chen Wang 026; Jun Zhou 001; Liang Zhang; Jin Zheng (Displays, 2022)

A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning. - Fan Liu 003; Delong Chen; Jun Zhou 001; Feng Xu 008 (Eng. Appl. Artif. Intell., 2022)

Sparsity Constrained Fusion of Hyperspectral and Multispectral Images. - Xiyou Fu; Sen Jia 001; Meng Xu 002; Jun Zhou 001; Qingquan Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Uncertainty estimation for stereo matching based on evidential deep learning. - Chen Wang 026; Xiang Wang 014; Jiawei Zhang; Liang Zhang; Xiao Bai 001; Xin Ning 001; Jun Zhou 001; Edwin R. Hancock (Pattern Recognit., 2022)

Transferable Convolutional Neural Network for Weed Mapping With Multisensor Imagery. - Adnan Farooq; Xiuping Jia; Jiankun Hu; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Fusion of Hyperspectral and Multispectral Images Accounting for Localized Inter-Image Changes. - Xiyou Fu; Sen Jia 001; Meng Xu 002; Jun Zhou 001; Qingquan Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Nonlocal Spatial-Spectral Neural Network for Hyperspectral Image Denoising. - Guanyiman Fu; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Stochastic Depth Residual Network for Hyperspectral Image Classification. - Zheng Gao; Lei Tong; Jun Zhou 001; Bin Qian 006; Jing Yu 005; Chuangbai Xiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Superpixel Spectral-Spatial Feature Fusion Graph Convolution Network for Hyperspectral Image Classification. - Zhi Gong; Lei Tong; Jun Zhou 001; Bin Qian 006; Lijuan Duan; Chuangbai Xiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Spatial-Spectral Weighted and Regularized Tensor Sparse Correlation Filter for Object Tracking in Hyperspectral Videos. - Zengfu Hou; Wei Li 032; Jun Zhou 001; Ran Tao 003 (IEEE Trans. Geosci. Remote. Sens., 2022)

Gradient Feature-Oriented 3-D Domain Adaptation for Hyperspectral Image Classification. - Sen Jia 001; Xiaomei Liu; Meng Xu 002; Qiao Yan; Jun Zhou 001; Xiuping Jia; Qingquan Li (IEEE Trans. Geosci. Remote. Sens., 2022)

An Attention-Based Lattice Network for Hyperspectral Image Classification. - Mohammad Nikzad; Yongsheng Gao 001; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Hyperspectral Image Restoration With Self-Supervised Learning: A Two-Stage Training Approach. - Yuntao Qian; Honglin Zhu; Ling Chen 001; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Hyperspectral Band Selection With Multigraph Integrated Embedding and Robust Self-Contained Regression. - Chenhong Sui; Jun Zhou 001; Chang Li 001; Qiang Zheng; Jie Feng 003; Xiaoguang Mei; Jing Wang 062 (IEEE Trans. Geosci. Remote. Sens., 2022)

MAC-Net: Model-Aided Nonlocal Neural Network for Hyperspectral Image Denoising. - Fengchao Xiong; Jun Zhou 001; Qinling Zhao; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing. - Fengchao Xiong; Jun Zhou 001; Shuyin Tao; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Spatial-Spectral CNN-Based Feature Learning for Hyperspectral Image Classification. - Shuyu Zhang 002; Meng Xu 002; Jun Zhou 001; Sen Jia 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Spectral-Spatial Boundary Detection in Hyperspectral Images. - Suhad Lateef Al-Khafaji; Jun Zhou 001; Xiao Bai 001; Yuntao Qian; Alan Wee-Chung Liew (IEEE Trans. Image Process., 2022)

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. - Fengchao Xiong; Jun Zhou 001; Shuyin Tao; Jianfeng Lu 003; Jiantao Zhou 001; Yuntao Qian (IEEE Trans. Image Process., 2022)

Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss. - Cheng Yan; Guansong Pang; Xiao Bai 001; Changhong Liu; Xin Ning 001; Lin Gu 003; Jun Zhou 001 (IEEE Trans. Multim., 2022)

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects. - Zewen Li; Fan Liu 003; Wenjie Yang; Shouheng Peng; Jun Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

What EXACTLY are We Looking at?: Investigating for Discriminance in Ultra-Fine-Grained Visual Categorization Tasks. - Ugochukwu Ejike Akpudo; Xiaohan Yu 001; Jun Zhou 001; Yongsheng Gao 001 (DICTA, 2023)

Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jun Zhou 001; Lin Gu 003 (ICCV, 2023)

Multiscale Representations Learning Transformer Framework for Point Cloud Classification. - Yajie Sun; Ali Zia; Jun Zhou 001 (ICIP, 2023)

Iterative Refinement Network for Hyperspectral Image Denoising. - Fengchao Xiong; Jun Zhou 001; Zhuang Zhao; Yuntao Qian (ICME, 2023)

Wavelet Siamese Network for Change Detection in Remote Sensing Images. - Tianhan Li; Fengchao Xiong; Wenbin Zheng; Zhuanfeng Li; Jun Zhou 001; Yuntao Qian (IGARSS, 2023)

Multi-Task Attentional U-Net for Hyperspectral Image Denoising. - Fengchao Xiong; Zhongyi Gu; Wenbin Zheng; Tianhan Li; Jun Zhou 001 (IGARSS, 2023)

Few-shot Classification via Ensemble Learning with Multi-Order Statistics. - Sai Yang; Fan Liu 003; Delong Chen; Jun Zhou 001 (IJCAI, 2023)

NCAF: NTD-based Concept Activation Factorisation Framework for CNN Explainability. - Ugochukwu Ejike Akpudo; Xiaohan Yu 001; Jun Zhou 001; Yongsheng Gao 001 (IVCNZ, 2023)

Multi Modality Siamese Feature Fusion Transformer Tracker for Object Tracking from Hyperspectral Videos. - Mohammad Aminul Islam; Wangzhi Xing; Jun Zhou 001 (WHISPERS, 2023)

Spectral 3D Computer Vision - A Review. - Yajie Sun; Ali Zia; Vivien Rolland; Charissa Yu; Jun Zhou 001 (CoRR, 2023)

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing. - Fan Liu 003; Delong Chen; Zhangqingyun Guan; Xiaocong Zhou; Jiale Zhu; Jun Zhou 001 (CoRR, 2023)

High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion. - Yajie Sun; Ali Zia; Jun Zhou 001 (CoRR, 2023)

Background-Aware Band Selection for Object Tracking in Hyperspectral Videos. - Mohammad Aminul Islam; Jun Zhou 001; Weichuan Zhang; Yongsheng Gao 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Spatial-Spectral Split Attention Residual Network for Hyperspectral Image Classification. - Zhenqiu Shu; Zigao Liu; Jun Zhou 001; Songze Tang; Zhengtao Yu 001; Xiaojun Wu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

SiamBAG: Band Attention Grouping-Based Siamese Object Tracking Network for Hyperspectral Videos. - Wei Li 032; Zengfu Hou; Jun Zhou 001; Ran Tao 003 (IEEE Trans. Geosci. Remote. Sens., 2023)

A Synergistical Attention Model for Semantic Segmentation of Remote Sensing Images. - Xin Li 090; Feng Xu 008; Fan Liu 003; Xin Lyu 001; Yao Tong; Zhennan Xu; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-Supervised Spectral-Spatial Graph Prototypical Network for Few-Shot Hyperspectral Image Classification. - Shan Ma; Lei Tong; Jun Zhou 001; Jing Yu 005; Chuangbai Xiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Toward Universal Representation Learning for Multidomain Hyperspectral Image Classification. - Jing Wang 062; Jun Zhou 001; Xinwen Liu 003 (IEEE Trans. Geosci. Remote. Sens., 2023)

Multitask Sparse Representation Model-Inspired Network for Hyperspectral Image Denoising. - Fengchao Xiong; Jiantao Zhou 001; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Parameterized Neural Networks for Hyperspectral Image Denoising. - Fengchao Xiong; Jun Zhou 001; Jiantao Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking. - Zhuanfeng Li; Fengchao Xiong; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Image Process., 2023)

Information bottleneck and selective noise supervision for zero-shot learning. - Lei Zhou 008; Yang Liu 357; Pengcheng Zhang 003; Xiao Bai 001; Lin Gu 003; Jun Zhou 001; Yazhou Yao; Tatsuya Harada; Jin Zheng; Edwin R. Hancock (Mach. Learn., 2023)

Camera and LiDAR Fusion for Urban Scene Reconstruction and Novel View Synthesis via Voxel-Based Neural Radiance Fields. - Xuanzhu Chen; Zhenbo Song; Jun Zhou 001; Dong Xie; Jianfeng Lu 003 (Remote. Sens., 2023)

Guest Editorial: Spectral imaging powered computer vision. - Jun Zhou 001; Fengchao Xiong; Lei Tong; Naoto Yokoya; Pedram Ghamisi (IET Comput. Vis., 2023)

Learning consistent region features for lifelong person re-identification. - Jinze Huang; Xiaohan Yu 001; Dong An 001; Yaoguang Wei; Xiao Bai 001; Jin Zheng; Chen Wang 026; Jun Zhou 001 (Pattern Recognit., 2023)

CrowdMLP: Weakly-supervised crowd counting via multi-granularity MLP. - Mingjie Wang 002; Jun Zhou 001; Hao Cai 004; Minglun Gong (Pattern Recognit., 2023)

Attribute subspaces for zero-shot learning. - Lei Zhou 008; Yang Liu 357; Xiao Bai 001; Na Li 014; Xiaohan Yu 001; Jun Zhou 001; Edwin R. Hancock (Pattern Recognit., 2023)

DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jin Zheng; Xin Ning 001; Jun Zhou 001; Lin Gu 003 (CVPR, 2024)

A New Hyperspectral Unmixing Benchmark for Weak Signal Meat Contamination Detection. - Zekun Long; Ali Zia; Jordi Nelis; Vivien Rolland; Jun Zhou 001 (DICTA, 2024)

LinCNNFormer: Hybrid Linear Vision Transformer Based on Convolution Neural Network and Linear Attention. - Edwin Kwadwo Tenagyei; Yongsheng Gao 001; Andrew Lewis; Nick Nikzad; Jun Zhou 001 (DICTA, 2024)

TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jin Zheng; Xin Ning 001; Jun Zhou 001; Lin Gu 003 (ECCV (10), 2024)

Bidfuse: Harnessing Bi-Directional Attention with Modality-Specific Encoders for Infrared-Visible Image Fusion. - Wangzhi Xing; Diqi Chen; Mohammad Aminul Islam; Jun Zhou 001 (ICIP, 2024)

Coherentice: Invertible Concept-Based Explainability Framework for CNNs beyond Fidelity. - Ugochukwu Ejike Akpudo; Yongsheng Gao 001; Jun Zhou 001; Andrew Lewis (ICME, 2024)

Robust Learning to Noisy Labels for Semantic Segmentation of Mangrove Communities in Remote Sensing Imagery. - Mitsuyoshi Otsu; Jun Zhou 001 (IGARSS, 2024)

Semantic-Aware Alignment Network for Cross-Resolution Change Detection. - Yijun Zhang; Fengchao Xiong; Jianfeng Lu 003; Minchao Ye; Jun Zhou 001; Yuntao Qian (IGARSS, 2024)

FreqFormer: A Frequency Transformer for Semantic Segmentation of Remote Sensing Images. - Xin Li 090; Feng Xu 008; Yao Tong; Fan Liu 003; Yiwei Fang; Xin Lyu 001; Jun Zhou 001 (MMAsia, 2024)

Feature-weighted Multi-stage Bayesian Prototype for Few-shot Classification. - Xiaocong Zhou; Fan Liu 003; Chuanyi Zhang; Feifan Li; Wenwen Cai; Jun Zhou 001 (MMAsia, 2024)

HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification. - Judy X. Yang; Jun Zhou 001; Jing Wang 062; Hui Tian 001; Alan Wee-Chung Liew (CoRR, 2024)

Unsupervised Band Selection Using Fused HSI and LiDAR Attention Integrating With Autoencoder. - Judy X. Yang; Jun Zhou 001; Jing Wang 062; Hui Tian 001; Alan Wee-Chung Liew (CoRR, 2024)

SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising. - Guanyiman Fu; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Yuntao Qian (CoRR, 2024)

CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks. - Nick Nikzad; Yongsheng Gao 001; Jun Zhou 001 (CoRR, 2024)

Power Line Aerial Image Restoration under dverse Weather: Datasets and Baselines. - Sai Yang; Bin Hu 023; Bojun Zhou; Fan Liu 003; Xiaoxin Wu 004; Xinsong Zhang; Juping Gu; Jun Zhou 001 (CoRR, 2024)

Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning. - Judy X. Yang; Jing Wang 062; Zekun Long; Chenhong Sui; Jun Zhou 001 (CoRR, 2024)

A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification. - Yiyan Zhang; Hongmin Gao 001; Jun Zhou 001; Chenkai Zhang; Pedram Ghamisi; Shufang Xu; Chenming Li; Bing Zhang 001 (Expert Syst. Appl., 2024)

ER-NeRF++: Efficient region-aware Neural Radiance Fields for high-fidelity talking portrait synthesis. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jin Zheng; Jun Zhou 001; Lin Gu 003 (Inf. Fusion, 2024)

CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging. - Chenyu Li 002; Bing Zhang 001; Danfeng Hong; Jun Zhou 001; Gemine Vivone; Shutao Li; Jocelyn Chanussot (Inf. Fusion, 2024)

Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification. - Ruihan Fan; Lei Tong; Jun Zhou 001; Baoqing Guo; Chuangbai Xiao (IEEE Geosci. Remote. Sens. Lett., 2024)

Mask-Guided Local-Global Attentive Network for Change Detection in Remote Sensing Images. - Fengchao Xiong; Tianhan Li; Jingzhou Chen; Jun Zhou 001; Yuntao Qian (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Diffusion-Model-Based Hyperspectral Unmixing Using Spectral Prior Distribution. - Keli Deng; Yuntao Qian; Jie Nie; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising. - Guanyiman Fu; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer. - Guanyiman Fu; Fengchao Xiong; Jianfeng Lu 003; Jun Zhou 001; Jiantao Zhou 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos. - Mohammad Aminul Islam; Wangzhi Xing; Jun Zhou 001; Yongsheng Gao 001; Kuldip K. Paliwal (IEEE Trans. Geosci. Remote. Sens., 2024)

Semantic Segmentation of Remote Sensing Images by Interactive Representation Refinement and Geometric Prior-Guided Inference. - Xin Li 090; Feng Xu 008; Fan Liu 003; Yao Tong; Xin Lyu 001; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Material-Guided Multiview Fusion Network for Hyperspectral Object Tracking. - Zhuanfeng Li; Fengchao Xiong; Jun Zhou 001; Jianfeng Lu 003; Zhuang Zhao; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing. - Fan Liu 003; Delong Chen; Zhangqingyun Guan; Xiaocong Zhou; Jiale Zhu; Qiaolin Ye; Liyong Fu; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Few-Shot Hyperspectral Image Classification Using Relational Generative Adversarial Network. - Wei Wei; Lei Tong; Baoqing Guo; Jun Zhou 001; Chuangbai Xiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Spectral-Spatial Large Kernel Attention Network for Hyperspectral Image Classification. - Chunran Wu; Lei Tong; Jun Zhou 001; Chuangbai Xiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Wavelet Siamese Network With Semi-Supervised Domain Adaptation for Remote Sensing Image Change Detection. - Fengchao Xiong; Tianhan Li; Yi Yang 071; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification. - Judy X. Yang; Jun Zhou 001; Jing Wang 062; Hui Tian 001; Alan Wee-Chung Liew (IEEE Trans. Geosci. Remote. Sens., 2024)

Iterative Low-Rank Network for Hyperspectral Image Denoising. - Jin Ye 008; Fengchao Xiong; Jun Zhou 001; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2024)

Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label Transition in Aerial Images. - Jue Zhang; Xiuping Jia; Jun Zhou 001; Junpeng Zhang 002; Jiankun Hu (IEEE Trans. Image Process., 2024)

Few-shot classification guided by generalization error bound. - Fan Liu 003; Sai Yang; Delong Chen; Huaxi Huang; Jun Zhou 001 (Pattern Recognit., 2024)

Learning From Human Attention for Attribute-Assisted Visual Recognition. - Xiao Bai 001; Pengcheng Zhang 003; Xiaohan Yu 001; Jin Zheng; Edwin R. Hancock; Jun Zhou 001; Lin Gu 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Few-Shot Classification Model Compression via School Learning. - Sai Yang; Fan Liu 003; Delong Chen; Huaxi Huang; Jun Zhou 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

InsTaG: Learning Personalized 3D Talking Head from Few-Second Video. - Jiahe Li 007; Jiawei Zhang; Xiao Bai 001; Jin Zheng; Jun Zhou 001; Lin Gu 003 (CVPR, 2025)

SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers. - Nick Nikzad; Yi Liao; Yongsheng Gao 001; Jun Zhou 001 (CVPR, 2025)

Pixel-Wise Shuffling with Collaborative Sparsity for Melanoma Hyperspectral Image Classification. - Favour Ekong; Jun Zhou 001; Kwabena Sarpong; Yongsheng Gao 001 (WACV, 2025)

Guest Editorial: Multi-view representation learning for computer vision. - Xin Ning 001; Jun Zhou 001; Jian Cheng 001; Jing Wu 004; Chen Wang 026; Lin Gu 003 (IET Comput. Vis., 2025)

Dual-domain decoupled fusion network for semantic segmentation of remote sensing images. - Xin Li 090; Feng Xu 008; Jue Zhang; Anzhu Yu; Xin Lyu 001; Hongmin Gao 001; Jun Zhou 001 (Inf. Fusion, 2025)

Editorial: Transformer models for multi-source visual fusion and understanding. - Xin Ning 001; Xiao Bai 001; Prayag Tiwari; Jun Zhou 001; Byung-Gyu Kim; Yang Xiao (Inf. Fusion, 2025)

HSLiNets: Evaluating Band Ordering Strategies in Hyperspectral and LiDAR Fusion. - Judy X. Yang; Jing Wang 062; Zhuanfeng Li; Chenhong Sui; Zekun Long; Jun Zhou 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Hierarchical Context Learning of object components for unsupervised semantic segmentation. - Dong Bao; Jun Zhou 001; Gervase Tuxworth; Jue Zhang; Yongsheng Gao 001 (Pattern Recognit., 2025)

Multi-domain universal representation learning for hyperspectral object tracking. - Zhuanfeng Li; Fengchao Xiong; Jianfeng Lu 003; Jing Wang 062; Diqi Chen; Jun Zhou 001; Yuntao Qian (Pattern Recognit., 2025)

Power Line Aerial Image Restoration Under Adverse Weather: Datasets and Baselines. - Sai Yang; Bin Hu 023; Bojun Zhou; Fan Liu 003; Xiaoxin Wu 004; Xinsong Zhang; Juping Gu; Jun Zhou 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

UBSTrack: Unified Band Selection and Multimodel Ensemble for Hyperspectral Object Tracking. - Mohammad Aminul Islam; Jun Zhou 001; Wangzhi Xing; Yongsheng Gao 001; Kuldip K. Paliwal (IEEE Trans. Geosci. Remote. Sens., 2025)

A Frequency Decoupling Network for Semantic Segmentation of Remote Sensing Images. - Xin Li 090; Feng Xu 008; Anzhu Yu; Xin Lyu 001; Hongmin Gao 001; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Adversarial Dilated Large-Kernel Attention Networks for Cross-Domain Few-Shot Hyperspectral Image Classification. - Xuan Liu; Lei Tong; Jun Zhou 001; Chuangbai Xiao (IEEE Trans. Geosci. Remote. Sens., 2025)

Boost UAV-Based Object Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning. - Fan Liu 003; Liang Yao; Chuanyi Zhang; Ting Wu; Xinlei Zhang; Xiruo Jiang; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

A Robust Co-Training Framework to Handle Noisy Labels for Remote Sensing Image Segmentation. - Mitsuyoshi Otsu; Jun Zhou 001; Bo Han 003; Arnon Accad; Shirui Pan (IEEE Trans. Geosci. Remote. Sens., 2025)

Language-Enhanced Dual-Level Contrastive Learning Network for Open-Set Hyperspectral Image Classification. - Boao Qin; Shou Feng; Chunhui Zhao 003; Wei Li 032; Ran Tao 003; Jun Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Spatial-Spectral-Temporal Correlation Filter for Hyperspectral Object Tracking. - Fengchao Xiong; Yongle Sun; Jun Zhou 001; Jianfeng Lu 003; Yuntao Qian (IEEE Trans. Geosci. Remote. Sens., 2025)

Determining Mosaic Resilience in Sugarcane Plants using Hyperspectral Images. - Ali Zia; Jun Zhou 001; Muyiwa Olayemi (CoRR, 2025)

TraNCE: Transformative Non-linear Concept Explainer for CNNs. - Ugochukwu Ejike Akpudo; Yongsheng Gao 001; Jun Zhou 001; Andrew Lewis (CoRR, 2025)

IPT-ILR: Image Pyramid Transformer Coupled With Information Loss Regularization for All-in-One Image Restoration. - Sai Yang; Bin Hu 023; Fan Liu 003; Xiaoxin Wu 004; Weiping Ding 001; Jun Zhou 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Visual Explanation via Similar Feature Activation for Metric Learning. - Yi Liao; Ugochukwu Ejike Akpudo; Jue Zhang; Yongsheng Gao 001; Jun Zhou 001; Wenyi Zeng; Weichuan Zhang (CoRR, 2025)

TraNCE: Transformative Nonlinear Concept Explainer for CNNs. - Ugochukwu Ejike Akpudo; Yongsheng Gao 001; Jun Zhou 001; Andrew Lewis (IEEE Trans. Neural Networks Learn. Syst., 2025)

CoPISan: Contrastive Perceptual Inference and Sanity Checks for Concept-Based CNN Explanations. - Ugochukwu Ejike Akpudo; Yongsheng Gao 001; Jun Zhou 001; Andrew Lewis (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Adaptive multi-stage fusion of hyperspectral and LiDAR data via selective state space models. - Yiyan Zhang; Hongmin Gao 001; Zhonghao Chen; Shuyu Fei; Jun Zhou 001; Pedram Ghamisi; Bing Zhang 001 (Inf. Fusion, 2026)