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Preview	Issue Date	Title	Author(s)
	2013	Incremental learning of 3D-DCT compact representations for robust visual tracking	Li, X.; Dick, A.; Shen, C.; Van Den Hengel, A.; Wang, H.
	2007	Fast global kernel density mode seeking: Applications to localization and tracking	Shen, C.; Brooks, M.; Van Den Hengel, A.
	2018	An embarrassingly simple approach to visual domain adaptation	Lu, H.; Shen, C.; Cao, Z.; Xiao, Y.; Van Den Hengel, A.
	2016	Fast detection of multiple objects in traffic scenes with a common detection framework	Hu, Q.; Paisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.; Porikli, F.
	2016	Pedestrian detection with spatially pooled features and structured ensemble learning	Paisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.
	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.
	2013	Contextual hypergraph modeling for salient object detection	Li, X.; Li, Y.; Shen, C.; Dick, A.; Van Den Hengel, A.; International Conference on Computer Vision (2013 : Sydney)
	2013	A general two-step approach to learning-based hashing	Lin, G.; Shen, C.; Suter, D.; Van Den Hengel, A.; IEEE International Conference on Computer Vision (14th : 2013 : Sydney, Australia)
	2015	Hashing on nonlinear manifolds	Shen, F.; Shen, C.; Shi, Q.; Van Den Hengel, A.; Tang, Z.; Shen, H.
	2013	Learning compact binary codes for visual tracking	Li, X.; Shen, C.; Dick, A.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)