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Preview	Issue Date	Title	Author(s)
	2016	Blind image deconvolution by automatic gradient activation	Gong, D.; Tan, M.; Zhang, Y.; Van Den Hengel, A.; Shi, Q.; 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV)
	2015	Learning graph structure for multi-label image classification via clique generation	Tan, M.; Shi, Q.; Van Den Hengel, A.; Shen, C.; Gao, J.; Hu, F.; Zhang, Z.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
	2015	Worst case linear discriminant analysis as scalable semidefinite feasibility problems	Li, H.; Shen, C.; Van Den Hengel, A.; Shi, Q.
	2015	A hybrid loss for multiclass and structured prediction	Shi, Q.; Reid, M.; Caetano, T.; Van Den Hengel, A.; Wang, Z.
	2016	Dictionary learning for promoting structured sparsity in hyperspectral compressive sensing	Zhang, L.; Wei, W.; Zhang, Y.; Shen, C.; Van Den Hengel, A.; Shi, Q.
	2015	Hashing on nonlinear manifolds	Shen, F.; Shen, C.; Shi, Q.; Van Den Hengel, A.; Tang, Z.; Shen, H.
	2012	Non-sparse linear representations for visual tracking with online reservoir metric learning	Li, X.; Shen, C.; Shi, Q.; Dick, A.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (25th : 2012 : Providence, Rhode Island)
	2012	Robust tracking with weighted online structured learning	Yao, R.; Shi, Q.; Shen, C.; Zhang, Y.; Van Den Hengel, A.; Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmidt, C.; European Conference on Computer Vision (12th : 2012 : Florence, Italy)
	2011	Is face recognition really a compressive sensing problem?	Shi, Q.; Eriksson, A.; Van Den Hengel, A.; Shen, C.; Conference on Computer Vision and Pattern Recognition (2011 : Rhode Island, USA)
	2013	Part-based visual tracking with online latent structural learning	Yao, R.; Shi, Q.; Shen, C.; Zhang, Y.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)