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Preview	Issue Date	Title	Author(s)
	2015	Deep convolutional neural fields for depth estimation from a single image	Liu, F.; Shen, C.; Lin, G.; Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
	2016	Fast training of triplet-based deep binary embedding networks	Zhuang, B.; Lin, G.; Shen, C.; Reid, I.; Computer Society Conference on Computer Vision and Pattern Recognition (CVPRW) (27 Jun 2016 - 30 Jun 2016 : Las Vegas, NV)
	2014	StructBoost: boosting methods for predicting structured output variables	Shen, C.; Lin, G.; van den Hengel, A.
	2015	Supervised hashing using graph cuts and boosted decision trees	Lin, G.; Shen, C.; van den Hengel, A.
	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)
	2012	Fast training of effective multi-class boosting using coordinate descent optimization	Lin, G.; Shen, C.; Van Den Hengel, A.; Suter, D.; Asian Conference on Computer Vision (11th : 2012 : Daejeon, Korea)
	2013	Approximate constraint generation for efficient structured boosting	Lin, G.; Shen, C.; Van Den Hengel, A.; International Conference on Image Processing (20th : 2013 : Melbourne, Australia)
	2017	Structured learning of binary codes with column generation for optimizing ranking measures	Lin, G.; Liu, F.; Shen, C.; Wu, J.; Shen, H.T.
	2016	Exploring context with deep structured models for semantic segmentation	Lin, G.; Shen, C.; Hengel, A.; Reid, I.
	2016	Learning depth from single monocular images using deep convolutional neural fields	Liu, F.; Shen, C.; Lin, G.; Reid, I.