Professor Javen Qinfeng Shi 史勤峰
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
Title
Cited by
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
8692015
Real-time visual tracking using compressive sensing
H Li, C Shen, Q Shi
CVPR 2011, 1305-1312, 2011
3872011
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
3572014
Is face recognition really a compressive sensing problem?
Q Shi, A Eriksson, A Van Den Hengel, C Shen
CVPR 2011, 553-560, 2011
3162011
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
2102013
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
2092015
Hash kernels for structured data
Q Shi, J Petterson, G Dror, J Langford, A Smola, SVN Vishwanathan
The Journal of Machine Learning Research 10, 2615-2637, 2009
2072009
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
2042013
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
1452008
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
1232015
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
1162017
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
1132011
Hash kernels
Q Shi, J Petterson, G Dror, J Langford, A Smola, A Strehl, ...
Artificial intelligence and statistics, 496-503, 2009
1102009
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
842015
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
782012
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
652013
Rapid face recognition using hashing
Q Shi, H Li, C Shen
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
532010
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
522018
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
522012
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
502016
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Articles 1–20