Qinfeng (Javen) Shi 史勤峰 - Google Scholar Citations

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	All	Since 2014
Citations	3843	3380
h-index	25	25
i10-index	38	37

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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
Alex SmolaAmazon Web ServicesVerified email at smola.org
Rui YaoPh.DVerified email at adelaide.edu.au
Anthony DickComputer Science, University of AdelaideVerified email at adelaide.edu.au
Zhen ZhangVerified email at mail.nwpu.edu.cn
Hamid RezatofighiResearch Fellow at Computer Science, Stanford University & University of AdelaideVerified email at stanford.edu
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
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityVerified email at stat.purdue.edu
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au
Guosheng LinNanyang Technological UniversityVerified email at ntu.edu.sg
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Fumin Shen (沈复民)University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
Anton Milan (Andriyenko)AmazonVerified email at amazon.com
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

Qinfeng (Javen) Shi 史勤峰

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

Verified email at adelaide.edu.au - Homepage

Machine Learning Graphical Models Computer Vision Probabilistic Models


Title	Cited by	Year
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	661	2015
Real-time visual tracking using compressive sensing H Li, C Shen, Q Shi CVPR 2011, 1305-1312, 2011	372	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	314	2014
Is face recognition really a compressive sensing problem? Q Shi, A Eriksson, A Van Den Hengel, C Shen CVPR 2011, 553-560, 2011	309	2011
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	200	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	197	2009
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	195	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	157	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	137	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	108	2015
Hash kernels Q Shi, J Petterson, G Dror, J Langford, A Smola, A Strehl, ... Artificial intelligence and statistics, 496-503, 2009	107	2009
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	103	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	76	2017
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	71	2012
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	70	2015
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	57	2013
Rapid face recognition using hashing Q Shi, H Li, C Shen 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	51	2010
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	48	2012
Dimensionality reduction via compressive sensing J Gao, Q Shi, TS Caetano Pattern Recognition Letters 33 (9), 1163-1170, 2012	46	2012
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	45	2016

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