Selected Publications

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

In Press

  1. Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip Paliwal, Fanhua Shang. "Deep residual-dense lattice network for speech enhancement", accepted by the AAAI Conference on Artificial Intelligence (AAAI), 2020.

  2. Jing Wang, Jun Zhou, and Weiqing Huang. "Attend in bands: hyperspectral band weighting and selection for image classification", accepted by the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019.

  3. Tian Hu, Luigi J. Renzullo, Jie He, Albert I.J.M. van Dijk, Zhihong Xu, Jun Zhou, Tengjiao Liu, and Qinhuo Liu. "Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals", accepted by the Remote Sensing of Environment, 2019.

  4. Yanyang Gu, Zongyuan Ge, Paul Bonnington, and Jun Zhou. "Progressive transfer learning and adversarial domain adaptation for cross-domain skin disease classification", accepted by the IEEE Journal of Biomedical and Health Informatics, 2019.

  5. Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, and Edwin Hancock. "Learning Binary Code for Fast Nearest Subspace Search", accepted by Pattern Recognition, 2019.

  6. Fengchao Xiong, Jun Zhou, and Yuntao Qian. "Hyperspectral restoration via L-0 gradient regularized sparse low-rank tensor factorization", accepted by the IEEE Transactions on Geoscience and Remote Sensing, 2019.

  7. Sen Jia, Jiayue Zhuang, Lin Deng, 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.

  8. Chen Wang, Xiang Wang, Xiao Bai, Yun Liu, and Jun Zhou. "Self-supervised deep homography estimation with invertibility constraints", accepted by the Pattern Recognition Letters, 2019.

  9. 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. Sen Jia, Xianglong Deng, Jiasong Zhu, Meng Xu, Jun Zhou, and Xiuping Jia. "Collaborative representation-based multiscale superpixel fusion for hyperspectral image classification", IEEE Transactions on Geoscience and Remote Sensing, Vol 57, No. 10, pages 7770-7784, 2019.

  3. 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.

  4. 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.

  5. 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", Remote Sensing, Vol. 11, No. 14, paper ID 1692, 2019.

  6. 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.

  7. 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.

  8. 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.

  9. Mohammad Nikzad, Yongsheng Gao, and Jun Zhou. "Gradient-based pooling for convolutional neural networks", accepted by the IEEE International Conference on Visual Communications and Image Processing (VCIP'19), 2019.

  10. Fahim Irfan Alam, Jun Zhou, and Alan Wee-Chung Liew. "Abundance-guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification", accepted by the International Conference on Digital Image Computing: Techniques and Applications (DICTA'19), 2019.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  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. 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.

  9. 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.

  10. 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.

  11. 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. 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

  10. 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

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. 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

  5. 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

  6. 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

  7. 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. 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

  8. 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

  9. 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

  10. 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

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. 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

  5. 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

  6. 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. 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

Before 2012

  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. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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