Professor Javen Qinfeng Shi 史勤峰 - Google Scholar Citations

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	All	Since 2015
Citations	4398	3635
h-index	28	27
i10-index	43	41

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20092010201120122013201420152016201720182019202015 39 83 103 193 298 378 576 672 759 916 328

Co-authors

Anton van den HengelProfessor of Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Chunhua ShenSchool of Computer Science, The University of AdelaideVerified email at adelaide.edu.au
Ian D ReidUniversity of AdelaideVerified email at adelaide.edu.au
Mingkui TanSouth China University of TechnologyVerified email at scut.edu.cn
Hamid RezatofighiSnr. Research Fellow at Computer Science, Stanford University & University of AdelaideVerified email at stanford.edu
Rui YaoPh.DVerified email at adelaide.edu.au
Alex SmolaAmazon Web ServicesVerified email at smola.org
Anthony DickComputer Science, University of AdelaideVerified email at adelaide.edu.au
Zhen ZhangThe University of AdelaideVerified email at adelaide.edu.au
Julian McAuleyAssociate Professor, UC San DiegoVerified email at eng.ucsd.edu
Damith C. RanasingheThe University of Adelaide, University of CambridgeVerified email at cs.adelaide.edu.au
Guosheng LinNanyang Technological UniversityVerified email at ntu.edu.sg
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
Anton Milan (Andriyenko)AmazonVerified email at amazon.com
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Fumin Shen (沈复民)University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Li ChengAssociate Professor, Department of ECE, University of Alberta, Canada; Adjunct staff, BII, A*STARVerified email at ualberta.ca
Hanxi LiJiangxi Normal Univeristy, ChinaVerified email at nicta.com.au
Roberto L. Shinmoto TorresThe University of AdelaideVerified email at adelaide.edu.au

Professor Javen Qinfeng Shi 史勤峰

Director and Founder, Probabilistic Graphical Model Group, Professor of University of Adelaide

Verified email at adelaide.edu.au - Homepage

Machine Learning Graphical Models Computer Vision Probabilistic Models


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Image-based recommendations on styles and substitutes J McAuley, C Targett, Q Shi, A Van Den Hengel Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015	803	2015
Real-time visual tracking using compressive sensing H Li, C Shen, Q Shi CVPR 2011, 1305-1312, 2011	382	2011
Fast supervised hashing with decision trees for high-dimensional data G Lin, C Shen, Q Shi, A Van den Hengel, D Suter Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	347	2014
Is face recognition really a compressive sensing problem? Q Shi, A Eriksson, A Van Den Hengel, C Shen CVPR 2011, 553-560, 2011	314	2011
Inductive Hashing on Manifolds F Shen, C Shen, Q Shi, A Hengel, Z Tang IEEE Conference on Computer Vision and Pattern Recognition (26th: 2013 …, 2013	211	2013
Hash kernels for structured data Q Shi, J Petterson, G Dror, J Langford, A Smola, SVN Vishwanathan Journal of Machine Learning Research 10 (Nov), 2615-2637, 2009	206	2009
Part-based visual tracking with online latent structural learning R Yao, Q Shi, C Shen, Y Zhang, A Van Den Hengel Proceedings of the IEEE conference on computer vision and pattern …, 2013	201	2013
Joint probabilistic data association revisited S Hamid Rezatofighi, A Milan, Z Zhang, Q Shi, A Dick, I Reid Proceedings of the IEEE international conference on computer vision, 3047-3055, 2015	200	2015
Discriminative human action segmentation and recognition using semi-Markov model Q Shi, L Wang, L Cheng, A Smola 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	142	2008
Hashing on nonlinear manifolds F Shen, C Shen, Q Shi, A Van den Hengel, Z Tang, HT Shen IEEE Transactions on Image Processing 24 (6), 1839-1851, 2015	121	2015
Human action segmentation and recognition using discriminative semi-markov models Q Shi, L Cheng, L Wang, A Smola International journal of computer vision 93 (1), 22-32, 2011	111	2011
From motion blur to motion flow: a deep learning solution for removing heterogeneous motion blur D Gong, J Yang, L Liu, Y Zhang, I Reid, C Shen, A Van Den Hengel, Q Shi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	108	2017
Hash kernels Q Shi, J Petterson, G Dror, J Langford, A Smola, A Strehl, ... Artificial intelligence and statistics, 496-503, 2009	108	2009
Dual graph regularized latent low-rank representation for subspace clustering M Yin, J Gao, Z Lin, Q Shi, Y Guo IEEE Transactions on Image Processing 24 (12), 4918-4933, 2015	81	2015
Non-sparse linear representations for visual tracking with online reservoir metric learning X Li, C Shen, Q Shi, A Dick, A Van Den Hengel 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1760-1767, 2012	75	2012
Sensor enabled wearable RFID technology for mitigating the risk of falls near beds RLS Torres, DC Ranasinghe, Q Shi, AP Sample 2013 IEEE International Conference on RFID (RFID), 191-198, 2013	65	2013
Rapid face recognition using hashing Q Shi, H Li, C Shen 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	53	2010
Blind image deconvolution by automatic gradient activation D Gong, M Tan, Y Zhang, A Van den Hengel, Q Shi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016	50	2016
Is margin preserved after random projection? Q Shi, C Shen, R Hill, A Hengel The 29th International Conference on Machine Learning (ICML 12), Edinburgh …, 2012	50	2012
Cluster sparsity field: An internal hyperspectral imagery prior for reconstruction L Zhang, W Wei, Y Zhang, C Shen, A Van Den Hengel, Q Shi International Journal of Computer Vision 126 (8), 797-821, 2018	49	2018

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