Selected Publications

For a complete list, please click Full Publications or Google Scholar.

In Press

  1. Sen Jia, Xianglong Deng, Jiasong Zhu, Meng Xu, Jun Zhou, and Xiuping Jia. "Collaborative representation-based multiscale superpixel fusion for hyperspectral image classification", Accepted by the IEEE Transactions on Geoscience and Remote Sensing, 2019.

  2. Sen Jia, Jiayue Zhuang, Jiasong Zhu, Meng Xu, Jun Zhou, and Xiuping Jia. "3D Gaussian-Gabor feature extraction and selection for hyperspectral imagery classification", Accepted by the IEEE Transactions on Geoscience and Remote Sensing, 2019.

  3. Adnan Farooq, Xiuping Jia, Jiankun Hu, Jun Zhou. "Multi-resolution weed classification via convolutional neural network and superpixel based local binary pattern using remote sensing images", Accepted by Remote Sensing, 2019.

  4. Zongjie Ma, Abdul Sattar, Jun Zhou, Qingliang Chen and Kaile Su. "Dropout with Tabu strategy for regularizing deep neural networks", Accepted by The Computer Journal, 2019.

2019

  1. Tian Hu, Luigi J. Renzullo, Biao Cao, Albert I.J.M. van Dijk, Yongming Du, Hua Li, Zhihong Xu, Jun Zhou, and Qinhuo Liu. "Directional variation in surface emissivity inferred from the MYD21 product and its influence on estimated surface upwelling longwave radiation", Remote Sensing of Environment, Vol. 228, pages 45-60, 2019.

  2. Fengchao Xiong, Yuntao Qian, Jun Zhou, and Yuanyan Tang. "Hyperspectral unmixing via total variation regularized nonnegative tensor factorization", IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 4, pages 2341-2357, 2019.

  3. Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao. "Conditional random field and deep feature learning for hyperspectral image classification". IEEE Transactions on Geoscience and Remote Sensing, Vol. 57, No. 3, pages 1612-1628, 2019.

  4. Fereshteh Nayyeri, Lei Hou, Jun Zhou, and Hong Guan. "Foreground-background separation technique for crack detection", Computer-Aided Civil and Infrastructure Engineering, Vol. 34, No. 6, pages 457-470, 2019.

  5. Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou and Edwin Hancock. "Deep hashing by discriminating hard examples", Accepted by the ACM Multimedia Conference (ACMMM'19), 2019.

  6. Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou and Edwin Hancock. "Deep subspace clustering via latent distribution preserving", Accepted by the International Joint Conference on Artificial Intelligence (IJCAI'19), 2019.

  7. Yoon Jin Park, Gervase Tuxworth, and Jun Zhou. "Insect classification using squeeze-and-excitation and attention modules - a benchmark study", Accepted by the IEEE International Conference on Image Processing (ICIP'19), 2019.

  8. Jing Wang, Jun Zhou, Weiqing Huang, and Jackie Chen. "Attention networks for band weighting and selection in hyperspectral remote sensing image classification", Accepted by the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'19), 2019.

  9. Lei Zhou, Chen Wang, Xiao Bai, and Jun Zhou. "Hyperspectral image denoising via non-local sparse subspace clustering", Accepted by the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'19), 2019.

  10. Qipeng Qian, Fengchao Xiong, and Jun Zhou. "Deep unfolded iterative shrinkage-thresholding model for hyperspectral unmixing", Accepted by the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'19), 2019.

  11. Adnan Farooq, Jun Zhou, and Xiuping Jia. "Texture and shape features for grass weed classification using hyperspectral remote sensing images", Accepted by the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'19), 2019.

  12. Chen Wang, Xiao Bai, Lei Zhou, and Jun Zhou. "Hyperspectral image classification based on non-local neural networks", Accepted by the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'19), 2019.

  13. Fengchao Xiong, Jun Zhou, Yuntao Qian and Jocelyn Chanussot. "Dynamic material-aware object tracking in hyperspectral videos", Accepted by the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'19), 2019.

  14. Adnan Farooq, Xiuping Jia, Jiankun Hu and Jun Zhou. "Knowledge transfer via convolution neural network for multi-resolution lawn weed classification using remote sensing images", Accepted by the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'19), 2019.

  15. He Chen, Benjamin Ho, Haofei Wang, Say Hwa Tan, Chun-Xia Zhao, Nam-Trung Nguyen, Yongsheng Gao and Jun Zhou. "Automatic live and dead cell classification via hyperspectral imaging", Accepted by the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'19), 2019.

2018

  1. Farah Jahan, Jun Zhou, Mohammad Awrangjeb, and Yongsheng Gao. "Fusion of hyperspectral and LiDAR data using discriminant correlation analysis for land cover classification". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, No. 10, pages 3905-3917, 2018.

  2. Shahla Hosseini Bai, Iman Tahmasbian, Jun Zhou, Tio Nevenimo, Godfrey Hannet, David Walton, Bruce Randall, Tsvakai Gama, and Helen M Wallace. "A non-destructive determination of peroxide values, total nitrogen and mineral nutrients in an edible tree nut using hyperspectral imaging". Computers and Electronics in Agriculture, Vol. 151, pages 492-500, 2018. Link

  3. Xiao Bai, Fan Xu, Lei Zhou, Yan Xing, Lu Bai and Jun Zhou. "Nonlocal similarity based nonnegative tucker decomposition for hyperspectral image denoising". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, No. 3, pages 701-712, 2018. PDF

  4. Jie Liang, Jun Zhou, Lei Tong, Xiao Bai and Bin Wang. "Material based salient object detection from hyperspectral images". Pattern Recognition, Vol. 76, Pages 476-490, 2018 PDF

  5. Suhad Lateef Al-khafaji, Jun Zhou, Ali Zia and Alan Wee-Chung Liew. "Spectral-spatial scale invariant feature transform for hyperspectral images". IEEE Transactions on Image Processing, Vol. 27, No. 2, pages 837-850, 2018. PDF

  6. Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai and Jun Zhou and Edwin Robert Hancock. "Adaptive hash retrieval with kernel based similarity". Pattern Recognition, Vol. 75, pages 136-148, 2018. PDF

  7. Xiao Bai, Jun Zhou and Antonio Robles-Kelly "Pattern recognition for high performance imaging". Pattern Recognition, Vol. 82, pages 38-39, 2018. PDF

  8. Daud Abdullah Asif, Yongsheng Gao and Jun Zhou. "Bay lobsters moulting stage analysis based on high-order texture pattern descriptor", Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA'18), 2018.

  9. Daud Abdullah Asif, Yongsheng Gao and Jun Zhou. "Multi-channel local mesh high-order pattern descriptor with convolutional neural network architecture for face recognition", Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA'18), 2018.

  10. Jing Wang and Jun Zhou. "Band weighting network for hyperspectral image classification", Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA'18), 2018.

  11. Litao Yu, Jun Zhou and Yongsheng Gao. "Generative Adversarial Product Quantisation", Proceedings of the 26th ACM International Conference on Multimedia (ACMMM'18), pages 861-869, 2018.

  12. Yanyang Gu, Yi-Ping Partridge, and Jun Zhou. "A Hyperspectral Dermoscopy Dataset for Melanoma Detection", Proceedings of the ISIC Skin Image Analysis Workshop and Challenge (ISIC'18), MICCAI, pages 268-276, 2018.

  13. Suhad Lateef Al-Khafaji, Jun Zhou and Alan Wee-Chung Liew. "An efficient method for boundary detection from hyperspectral imagery", Proceedings of the Joint IAPR Workshop on Structural, Syntactic and Statistical Pattern Recognition (S+SSPR'18), pages 412-426, 2018.

  14. Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, and Yongsheng Gao. "Triplet constrained deep feature extraction for hyperspectral image classification", Proceedings of the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'18), 2018.

  15. Farah Jahan, Jun Zhou, Mohammad Awrangjeb, Yongsheng Gao. "Integration of heterogeneous features from co-registered hyperspectral and LiDAR data for land cover classification", Proceedings of the 10th APPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2018), 2018.

  16. Fengchao Xiong, Yuntao Qian and Jun Zhou. "Hyperspectral imagery denoising via reweighed sparse low-rank nonnegative tensor factorization", IEEE International Conference on Image Processing (ICIP'18), pages 3219-3223, 2018.

  17. Fengchao Xiong, Jingzhou Chen, Yuntao Qian and Jun Zhou. "Superpixel-based nonnegative tensor factorization for hyperspectral unmixing", IEEE International Geoscience & Remote Sensing Symposium (IGARSS'18), pages 6392-6395, 2018.

  18. Kun Qian, Jun Zhou, Fengchao Xiong, and Huixin Zhou. "Object tracking in hyperspectral videos with convolutional features and kernelized correlation filter", International Conference on Smart Multimedia (ICSM'18), pages 308-319, 2018.

2017

  1. Xun Yu, Yongsheng Gao, and Jun Zhou. "Sparse 3D directional vertices vs continuous 3D curves: Efficient 3D surface matching and its application for single model face recognition". Pattern Recognition, Vol. 65, pages 296-306, 2017. PDF

  2. Iman Tahmasbian, Zhihong Xu, Kadum Abdullah, Jun Zhou, Roya Esmaeilani, Thi Thu Nhan Nguyen, and Shahla Hosseini Bai. "The potential of hyperspectral images and partial least squareregression for predicting total carbon, total nitrogen and theirisotope composition in forest litterfall samples". Journal of Soils and Sediments, Vol. 17, No. 8, pages 2091-2103, 2017. PDF

  3. Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, and Yuanyan Tang. "Matrix-Vector nonnegative tensor factorization for blind unmixing of hyperspectral imagery". IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 3, pages 1776-1792, 2017. PDF

  4. Minchao Ye, Yuntao Qian, Jun Zhou, and Yuanyan Tang. "Dictionary learning based feature level domain adaptation for cross-scene hyperspectral image classification". IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 3, pages 1544-1562, 2017. PDF

  5. Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, and Yongsheng Gao. "On the sampling strategy for evaluation of spectral-spatial methods in hyperspectral image classification". IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 2, pages 862-880, 2017. PDF

  6. Lei Tong, Jun Zhou, Xue Li, Yuntao Qian, and Yongsheng Gao. "Region based structure preserving nonnegative matrix factorization for hyperspectral unmixing". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 4, pages 1575-1588, 2017. PDF

  7. Changhong Liu, Jun Zhou, Jie Liang, Yuntao Qian, Hanxi Li, and Yongsheng Gao. "Exploring structural consistency in graph regularized joint spectral-spatial sparse coding for hyperspectral image classification". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 3, 1151-1164, 2017. PDF

  8. Yanyang Gu, Jun Zhou, and Bin Qian. "Melanoma detection based on Mahalanobis distance learning and constrained graph regularized nonnegative matrix factorization", IEEE Winter Conference on Applications of Computer Vision (WACV'17), pages 797-805, 2017. PDF

  9. Fan Xu, Xiao Bai, and Jun Zhou. "Non-local similarity based tensor decomposition for hyperspectral image denoising", IEEE International Conference on Image Processing (ICIP'17), pages 1890-1894, 2017. PDF

  10. Yuan Tian, Cheng Yan, Xiao Bai, and Jun Zhou. "Heterogeneous face recognition via Grassmannian based nearest subspace search", IEEE International Conference on Image Processing (ICIP'17), pages 1077-1081, 2017. PDF

  11. Suhad Al-Khafaji, Ali Zia, Jun Zhou, and Alan Wee-Chung Liew. "Material-based boundary detection in hyperspectral images", 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA'17), pages 1-7, 2017. PDF

  12. Fahim Alam, Jun Zhou, Lei Tong, Alan Wee-Chung Liew, and Yongsheng Gao. "Combining unmixing and deep feature learning for hyperspectral image classification", 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA'17), pages 1-8, 2017. PDF

  13. Mohammad Awrangjeb, David Jonas, and Jun Zhou. "An automatic technique for power line pylon detection from point cloud data", 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA'17), pages 1-8, 12017. PDF

  14. Chen Wang, Xiao Bai, Jun Zhou, and Feng Li. "Deep residual convolutional neural network for hyperspectral image super-resolution", The 9th International Conference on Image and Graphics (ICIG'17), pages 370-380, 2017. PDF

2016

  1. Lei Tong, Jun Zhou, Yuntao Qian, Xiao Bai, and Yongsheng Gao. "Nonnegative matrix factorization based hyperspectral unmixing with partially known endmembers". IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 11, pages 6531-6544, 2016. PDF

  2. Danping Liao, Yuntao Qian, Jun Zhou, and Yuanyan Tang. "A manifold alignment approach for hyperspectral image visualization with natural color". IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 6, pages 3151-3162, 2016. PDF

  3. Zhenqiu Shu, Jun Zhou, Pu Huang, Xun Yu, Zhangjing Yang, and Chunxia Zhao. "Local and global regularized sparse coding for data representation", Neurocomputing, Vol. 175, Part A, pages 188-197, 2016. PDF

  4. Xun Yu, Yongsheng Gao, and Jun Zhou. "Boosting radial strings for 3D face recognition with expressions and occlusions", Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA'16), pages 1-6, Gold Coast, Australia, 2016. PDF

  5. Yue Li, Bin Wang, Yongsheng Gao, and Jun Zhou. "Affine invariant point-set matching using convex hull bisection", Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA'16), pages 1-8, Gold Coast, Australia, 2016. PDF

  6. Yanzhen Liu, Xiao Bai, Cheng Yan, and Jun Zhou. "Bilinear discriminant analysis hashing: a supervised hashing approach for high-dimensional dataset", Proceedings of the Asian Conference on Computer Vision (ACCV'16), Part V, LNCS 10115, pp. 297-310, 2017. PDF

  7. Xun Yu, Yongsheng Gao, and Jun Zhou. "3D face recognition under partial occlusions using radial strings", Proceedings of the IEEE International Conference on Image Processing, pages 3016-3020, Phoenix, USA, 2016. PDF

  8. Jie Liang, Jun Zhou, and Yongsheng Gao. "Tensor morphological profile for hyperspectral image classification", Proceedings of the IEEE International Conference on Image Processing, pages 2197-2201, Phoenix, USA, 2016. PDF

  9. Xue Li, Jun Zhou, Lei Tong, Xun Yu, Jianhui Guo, and Chunxia Zhao. "Structured discriminative nonnegative matrix factorization for hyperspectral unmixing", Proceedings of the IEEE International Conference on Image Processing, pages 1848-1852, Phoenix, USA, 2016. PDF

  10. Bin Qian, Jun Zhou, Lei Tong, Xiaobo Shen, and Fan Liu. "Nonnegative matrix factorization with endmember sparse graph learning for hyperspectral unmixing", Proceedings of the IEEE International Conference on Image Processing, pages 1843-1847, Phoenix, USA, 2016. PDF

  11. Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, and Xiuping Jia. "CRF learning with CNN features for hyperspectral image segmentation", Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'16), pages 6890-6893, Beijing, China, 2016. PDF

2015

  1. Jun Zhou, Xiao Bai, and Terry Caelli. Computer Vision and Pattern Recognition in Environmental Informatics, IGI Global, 2015. LINK

  2. Xiao Bai, Zhouxiao Guo, Yanyang Wang, Zhihong Zhang, and Jun Zhou. "Semi-supervised hyperspectral band selection via spectral-spatial hypergraph model", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, No. 6, pages 2774-2783, 2015. PDF

  3. Minchao Ye, Yuntao Qian, and Jun Zhou. "Multi-task sparse nonnegative matrix factorization for joint spectral-spatial hyperspectral imagery denoising", IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, No. 5, pages 2621-2639, 2015. PDF

  4. Xiao Bai, Peng Ren, Huigang Zhang, and Jun Zhou. "An incremental structured part model for object recognition", Neurocomputing, Vol. 154, pages 189-199, 2015. PDF

  5. Ali Zia, Jun Zhou, and Yongsheng Gao. "Relative depth estimation from hyperspectral data", Proceedings of the Digital Image Computing: Techniques and Applications (DICTA'15), pages 1-7, Adelaide, Australia, 2015. PDF

  6. Zhenqiu Shu, Jun Zhou, Lei Tong, Xiao Bai, and Chunxia Zhao. "Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing", Proceedings of the IEEE International Conference on Image Processing (ICIP'15), pages 2174-2178, Quebec City, Canada, 2015. PDF

  7. Cheng Yan, Xiao Bai, and Jun Zhou. "Band weighting and selection based on hyperplane margin maximization for hyperspectral image classification", Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'15), pages 1702-1705, Milan, Italy, 2015. PDF

  8. Lei Tong, Jun Zhou, Yuntao Qian, and Yongsheng Gao. "Multiple graph regularized NMF for hyperspectral unmixing", Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'15), Tokyo, Japan, 2015. PDF

  9. Jun Zhou, Jie Liang, Yuntao Qian, Yongsheng Gao, and Lei Tong. "On the sampling strategies for evaluation of joint spectral-spatial information based classifiers", Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'15), Tokyo, Japan, 2015. PDF

  10. Jie Liang, Jun Zhou, and Yongsheng Gao. "3D local derivative pattern for hyperspectral face recognition", Proceedings of the Eleventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'15), Vol. 1, pages 1-6, Ljubljana, Slovenia, 2015. PDF

  11. Ali Zia, Jie Liang, Jun Zhou, and Yongsheng Gao. "3D reconstruction from hyperspectral images", Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV'15), pages 318-325, Waikoloa Beach, Hawaii, 2015. PDF

  12. Haoyi Zhou, Xiao Bai, and Jun Zhou. "Learning graph model for different dimensions image matching", Graph-based Representations in Pattern Recognition (GbR2015), pages 158-167, 2015. PDF

2014

  1. Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren and Jian Cheng. "Data-dependent hashing based on p-stable distribution", IEEE Transactions on Image Processing, Vol. 23, No. 12, pages 5033-5046, 2014 PDF

  2. Xiao Bai, Huigang Zhang, and Jun Zhou. "VHR object detection based on structural feature extraction and query expansion", IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 10, pages 6508-6520, 2014. PDF

  3. Lei Tong, Jun Zhou, Xiao Bai, and Yongsheng Gao. "Dual graph regularized NMF for hyperspectral unmixing", Digital Image Computing: Techniques and Applications (DICTA'14), pages 1-8, Wollongong, Australia, 2014. PDF

  4. Xun Yu, Yongsheng Gao, and Jun Zhou. "Face recognition using 3D directional corner points", The 22nd International Conference on Pattern Recognition(ICPR'14), pages 2802-2807, Stockholm, Sweden, 2014. PDF

  5. Danping Liao, Yuntao Qian, and Jun Zhou. "Visualization of hyperspectral imaging data based on manifold alignment", The 22nd International Conference on Pattern Recognition (ICPR'14), pages 70-75, Stockholm, Sweden, 2014. PDF

  6. Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai. "Semi-randomized hashing for large scale data retrieval", Proceedings of the International Conference on Data Science and Advanced Analytics (DSAA'14, long presentation with 10.9% acceptance rate), Shanghai, China, 2014. PDF

  7. Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, and Zhihong Zhang. "Adaptive object retrieval with kernel reconstructive hashing", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'14), pages 1955-1962, Columbus, Ohio, 2014. PDF

  8. Zhichun Fu, Peter Christen, and Jun Zhou. "A graph matching method for historical census household linkage", Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'14), pages 485-496, Taiwan, 2014. PDF

2013

  1. Huigang Zhang, Xiao Bai, Jun Zhou, Jian Cheng, and Huijie Zhao. "Object detection via structural feature selection and shape model", IEEE Transactions on Image Processing, Vol. 22, No. 12, pages 4984-4995, 2013. PDF

  2. Lin Gu, Antonio Robles-Kelly, and Jun Zhou. "Efficient estimation of reflectance parameters from imaging spectroscopy", IEEE Transactions on Image Processing, Vol. 22, No. 9, pages 3548-3663, 2013. PDF

  3. Yuntao Qian, Minchao Ye, and Jun Zhou. "Hyperspectral image classification based on structured sparse logistic regression and three-dimensional wavelet texture features", IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 4, pages 2276-2291, 2013. PDF

  4. Jie Liang, Ali Zia, Jun Zhou, and Xavier Sirault. "3D plant modelling via hyperspectral imaging", Proceedings of the International Workshop on Computer Vision for Accelerated Bioscience (CVAB'13), Sydney, Australia, 2013. PDF

  5. Lei Tong, Jun Zhou, Chengyuan Xu, Yuntao Qian, and Yongsheng Gao. "Soil biochar quantification via hyperspectral unmixing", Proceedings of the Digital Image Computing: Techniques and Applications (DICTA'13), pages 1-8, Hobart, Australia, 2013. PDF

  6. Doug Brown, Yongsheng Gao, and Jun Zhou. "Learning discriminative local patterns with unrestricted structure for face recognition", Proceedings of the Digital Image Computing: Techniques and Applications (DICTA'13), pages 1-7, Hobart, Australia, 2013. PDF

  7. Xun Yu, Yongsheng Gao, and Jun Zhou. "A 3D polygonal line chains matching method for face recognition", Proceedings of the Digital Image Computing: Techniques and Applications (DICTA'13), pages 1-6, Hobart, Australia, 2013. PDF

  8. Jie Liang, Jun Zhou, Xiao Bai, and Yuntao Qian. "Salient object detection in hyperspectral imagery", Proceedings of the IEEE International Conference on Image Processing (ICIP'13), pages 2393-2397, Melbourne, Australia, 2013. PDF Code

  9. Haichuan Yang, Xiao Bai, Chuntian Liu, and Jun Zhou. "Label propagation hashing based on p-stable distribution and coordinate descent", Proceedings of the IEEE International Conference on Image Processing (ICIP'13), pages 2674-2678, Melbourne, Australia, 2013. PDF

  10. Zhouxiao Guo, Xiao Bai, Zhihong Zhang, and Jun Zhou. "A hypergraph based semi-supervised band selection method for hyperspectral image classification", Proceedings of the IEEE International Conference on Image Processing (ICIP'13), pages 3137-3141, Melbourne, Australia, 2013. PDF

  11. Yuntao Qian, Danping Liao, and Jun Zhou. "Manifold alignment based color transfer for multiview image stitching", Proceedings of the IEEE International Conference on Image Processing (ICIP'13), pages 1341-1345, Melbourne, Australia, 2013. PDF

  12. Wei Xu, Zhenmin Tang, Jun Zhou, and Jundi Ding. "Pavement crack detection based on saliency and statistical features", Proceedings of the IEEE International Conference on Image Processing (ICIP'13), pages 4093-4097, Melbourne, Australia, 2013. PDF

  13. Chuntian Liu, Wei Wei, Xiao Bai, and Jun Zhou. "Marginalized kernel-based feature fusion method for VHR object classification", Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'13), pages 216-219, Melbourne, Australia, 2013. PDF

  14. Gaurav Mitra, Beau Johnston, Alistair Rendell, Eric McCreath, Jun Zhou. "Use of SIMD vector operations to accelerate application code performance on low-powered ARM and Intel platforms", Proceedings of the Third International Workshop on Accelerators and Hybrid Exascale Systems, pages 1107-1116, Boston, 2013. PDF

2012

  1. Zhichun Fu, Jun Zhou, Furong Peng, and Peter Christen. "A bag reconstruction method for multiple instance classification and group record linkage". Proceedings of the 8th International Conference on Advanced Data Mining and Applications (ADMA'12), pages 247-259, Nanjing, China, 2012. PDF

  2. Huigang Zhang, Xiao Bai, Jian Cheng, Jun Zhou, and Huijie Zhao. "An incremental structured part model for image classification", Proceedings of the IAPR International Workshops on Structural and Syntactic Pattern Recognition, pages 483-491, Hiroshima, Japan, 2012. PDF

  3. Zhichun Fu, Jun Zhou, Peter Christen and Mac Boot. "Multiple instance learning for group record linkage". Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'12), pages 171-182, Kuala Lumpur, Malaysia, 2012. PDF

2011

  1. Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou. "Affine invariant hyperspectral image descriptors based upon harmonic analysis". in Machine Vision Beyond the Visible Spectrum, Edited by Riad Hammoud, Guoliang Fan, Robert McMillan, and Katsushi Ikeuchi, Springer, 2011. PDF

  2. Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly. "Hyperspectral unmixing via L-1/2 sparsity-constrained nonnegative matrix factorization". IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 11, pages 4282-4297, 2011. PDF

  3. Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jianfeng Lu, and Jing-Yu Yang. "Graph attribute embedding via Riemannian submersion learning". Computer Vision and Image Understanding, Vol. 115, No. 7, pages 962-975, 2011. PDF

  4. Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou. "MILIS: Multiple Instance Learning with Instance Selection". IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 5, pages 958-977, 2011. PDF

  5. Jun Zhou, Zhouyu Fu, Antonio Robles-Kelly. "A structured learning approach to image descriptor combination". IET Computer Vision, Vol. 4, No. 2, pages 134-142, 2011. PDF

  6. Lin Gu, Cong Huyhn, Antonio Robles-Kelly, and Jun Zhou. "Material-specific user colour profiles from imaging spectroscopy data". Proceedings of the 13th International Conference on Computer Vision (ICCV'11), pages 1987-1994, Barcelona, Spain, 2011. PDF

  7. Haifeng Zhao, Antonio Robles-Kelly, and Jun Zhou. "On the use of the Chi-squared distance for the structured learning of graph embeddings". Proceedings of the Digital Image Computing: Techniques and Applications (DICTA'11), pages 422-428, Noosa, Australia, 2011. PDF

  8. Yuntao Qian, Jun Zhou, Minchao Ye, Qi Wang. "Structured sparse model based feature selection and classification for hyperspectral imagery". Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'11), pages 1771 - 1774, Vancouver, Canada, 2011. PDF

2010

  1. Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou. "Mixing linear SVMs for nonlinear classification". IEEE Transactions on Neural Networks, Vol. 21, No. 12, pages 1963-1975, 2010. PDF

  2. Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly. "L1/2 sparsity constrained nonnegative matrix factorization for hyperspectral unmixing". Proceedings of Digital Image Computing: Techniques and Applications (DICTA'10), pages 447-453, Sydney, Australia, 2010. PDF

  3. Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou. "Object of interest detection by saliency learning". Proceedings of the 11th European Conference on Computer Vision (ECCV'10), pages 636-649, Crete, Greece, 2010. PDF

  4. Mahmudul Hasan, Antonio Robles-Kelly, Jun Zhou, Xiuping Jia, and Mark R. Pickering. "Registration of hyperspectral and trichromatic images via cross cumulative residual entropy maximisation". Proceedings of the 2010 International Conference on Image Processing (ICIP'10), pages 2329-2332, Hongkong, China, 2010. PDF

  5. Haifeng Zhao, Jun Zhou and Antonio Robles-Kelly. "A structured learning approach to attributed graph embedding". Proceedings of the 13th International Workshop on Structural nd Syntactic Pattern Recognition (SSPR'10), pages 70-79, Cesme, Izmir, Turkey, 2010. PDF

  6. Jun Zhou and Antonio Robles-Kelly. "Image inpainting based on local optimisation". Proceedings of the 20th International Conference on Pattern Recognition (ICPR'10), pages 4440-4443, Istanbul, Turkey, 2010. PDF

  7. Mahmudul Hasan, Xiuping Jia, Antonio Robles-Kelly, Jun Zhou, and Mark R. Pickering. "Multi-spectral remote sensing image registration via spatial relationship analysis on SIFT keypoints". Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'10), pages 1011 - 1014 Hawaii, 2010. PDF

2009

  1. Jun Zhou, Li Cheng, and Walter F. Bischof. "Spatial-temporal modeling of interactive image interpretation". Spatial Vision, Vol. 22, No. 5, pages 455-472, 2009. PDF

  2. Jun Zhou, Zhouyu Fu, and Antonio Robles-kelly. "Learning the optimal transformation of salient features for image classification". Proceedings of the Digital Image Computing: Techniques and Applications (DICTA'09), pages 125-131, Melbourne, Australia, 2009. PDF

  3. Haifeng Zhao, Jun Zhou, Antonio Robles-Kelly, Jianfeng Lu, Jing-Yu Yang. "Automatic detection of defective Zebrafish embryos via shape analysis". Proceedings of the Digital Image Computing: Techniques and Applications (DICTA'09), pages 431-438, Melbourne, Australia, 2009. PDF

  4. Quang Nguyen, Antonio Robles-Kelly, and Jun Zhou. "A graph-based feature combination approach to object tracking". Proceedings of The Ninth Asian Conference on Computer Vision (ACCV'09), pages 224-235, Xi'an, China, 2009. PDF

  5. Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou. "An affine invariant hyperspectral texture descriptor based upon heavy-tailed distributions and Fourier analysis". Proceedings of the 6th IEEE Workshop on Object Tracking and Classification Beyond and in the Visible Spectrum (OTCBVS'09), pages 112-119, Miami, FL, 2009. (Best Paper Award) PDF

2008

  1. Jun Zhou, Li Cheng, and Walter F. Bischof. "Prediction and change detection in sequential data for interactive applications". Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI'08), pages 805-810, Chicago, IL, 2008. PDF

  2. Jun Zhou and Antonio Robles-Kelly. "A quasi-random sampling approach to image retrieval". Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08), pages 1-8, Anchorage, AK, 2008. PDF

  3. Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou. "Texture descriptors via stable distributions". Proceedings of the Ditigal Image Computing: Techniques and Applications (DICTA'08), pages 214-219, Canberra, Australia, 2008. PDF

  4. Jyun-Hao Huang, Ali Zia, Jun Zhou, and Antonio Robles-Kelly. "Content-based image retrieval via subspace-projected salient features". Proceedings of the Ditigal Image Computing: Techniques and Applications (DICTA'08), pages 593-599, Canberra, Australia, 2008. PDF

2007

  1. Jun Zhou, Li Cheng, and Walter F. Bischof. "Online learning with novelty detection in human-guided road tracking". IEEE Transactions on Geoscience and Remote Sensing, Vol. 45(12), pages 3967-3977 2007. PDF

  2. Jun Zhou, Li Cheng, Terry Caelli, and Walter F. Bischof. "Knowledge transfer in semi-automatic image interpretation ". Proceedings of the 12th International Conference on Human-Computer Interaction (HCII'07), pages 1028-1034, Beijing, China, 2008. PDF

2006

  1. Jun Zhou, Walter F. Bischof, and Terry Caelli. "Road tracking in aerial images based on human-computer interaction and Bayesian filtering". ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 61(2), pages 108-124, 2006. PDF

  2. Jun Zhou, Walter F. Bischof, and Arturo Sanchez-Azofeifa. "Extracting lines in noisy image using directional information". Proceedings of the 18th International Conference on Pattern Recognition (ICPR'06), Vol. 2, pages 215-218, Hongkong, China, 2006. PDF

  3. Jun Zhou, Li Cheng, and Walter F. Bischof. "A novel learning approach for semi-automatic road tracking". Proceedings of the 4th International Workshop on Pattern Recognition in Remote Sensing (PRRS'06), pages 61-64, Hong Kong, China, 2006. PDF

2005

  1. Jun Zhou, Walter F. Bischof, and Terry Caelli. "Robust and efficient road tracking in aerial images". Proceedings of the Joint Workshop of ISPRS and DAGM (CMRT'05) on Object Extraction for 3D City Models, Road Databases and Traffic Monitoring - Concepts, Algorithms and Evaluation, pages 35-40, Vienna, Austria, 2005. PDF

  2. Jun Zhou, Walter F. Bischof, and Terry Caelli. "Human-computer interaction in map revision systems". Proceedings of the 11th International Conference on Human-Computer Interaction (HCII'05), Volume 3, Las Vegas, Nevada, 2005. PDF

2004

  1. Jun Zhou, Walter F. Bischof, and Terry Caelli. "Understanding human-computer interactions in map revision". Proceedings of the 10th International Workshop on Structural and Syntactic Pattern Recognition (SSPR'04), pages 287-295, Lisbon, Portugal, 2004. PDF

2001

  1. Jun Zhou, Ching Y. Suen, and Ke Liu. "A feedback-based approach for segmenting handwritten legal amounts on bank cheques". Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR'01), pages 887-891, Seattle, WA, 2001. PDF