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Showing results 1306 to 1325 of 2541 < previous   next >
PreviewIssue DateTitleAuthor(s)
2017Large-scale binary quadratic optimization using semidefinite relaxation and applicationsWang, P.; Shen, C.; Van Den Hengel, A.; Torr, P.
2017Large-scale camera network topology estimation by lighting variationZhu, M.; Dick, A.; van den Hengel, A.; 18th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2017) (18 Sep 2017 - 21 Sep 2017 : Antwerp, Belgium)
2014Large-scale camera topology mapping: application to re-identificationDick, A.; Hengel, A.; Detmold, H.
2015Last-level cache side-channel attacks are practicalLiu, F.; Yarom, Y.; Ge, Q.; Heiser, G.; Lee, R.; Security and Privacy (SP) (17 May 2015 - 21 May 2015 : San Jose, CA)
2013Latent data association: Bayesian model selection for multi-target trackingSegal, A.; Reid, I.; International Conference on Computer Vision (2013 : Sydney, Australia)
2003Lattice QCD, gauge fixing and the transition to the perturbative regimeWilliams, A.; International Conference on Quark Confinement and the Hadron Spectrum (5th : 2002 : Gargnano, Italy)
2000Layer extraction with a bayesian model of shapesTorr, P.; Dick, A.; Cipolla, R.; European Conference on Computer Vision (ECCV) (26 Jun 2000 - 01 Jul 2000 : Dublin)
2013Learning a hybrid similarity measure for image retrievalWu, J.; Shen, H.; Li, Y.; Xiao, Z.; Lu, M.; Wang, C.
2017Learning a no-reference quality metric for single-image super-resolutionMa, C.; Yang, C.-.Y.; Yang, X.; Yang, M.-.H.
2007Learning and matching of dynamic shape manifolds for human action recognitionWang, L.; Suter, D.
2008Learning cascaded reduced - set SVMs using linear programmingKim, J.; Shen, C.; Wang, L.; International Conference on Digital Image Computing - Techniques and Applications, (2008 : Canberra, ACT, Australia)
2013Learning compact binary codes for visual trackingLi, X.; Shen, C.; Dick, A.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)
2016Learning depth from single monocular images using deep convolutional neural fieldsLiu, F.; Shen, C.; Lin, G.; Reid, I.
2016Learning discriminative Bayesian networks from high-dimensional continuous neuroimaging dataZhou, L.; Wang, L.; Liu, L.; Ogunbona, P.; Shen, D.
2017Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognitionQiao, R.; Liu, L.; Shen, C.; van den Hengel, A.
2016Learning from less for better: semi-supervised activity recognition via shared structure discoveryYao, L.; Nie, F.; Sheng, Q.; Gu, T.; Li, X.; Wang, S.; 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) (12 Sep 2016 - 16 Sep 2016 : Heidelberg, Germany)
2015Learning graph structure for multi-label image classification via clique generationTan, M.; Shi, Q.; Van Den Hengel, A.; Shen, C.; Gao, J.; Hu, F.; Zhang, Z.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (07 Jun 2015 - 12 Jun 2015 : Boston, MA)
2014Learning graphs to model visual objects across different depictive stylesWu, Q.; Cai, H.; Hall, P.; 13th European Conference on Computer Vision (ECCV) (06 Sep 2014 - 12 Sep 2014 : Zurich, Switzerland)
2009Learning group activity in soccer videos from local motionKong, Y.; Hu, W.; Zhang, X.; Wang, H.; Jia, Y.; Asian Conference on Computer Vision (9th : 2009 : Xi'an, China)
2013Learning hash functions using column generationLi, X.; Lin, G.; Shen, C.; Van Den Hengel, A.; Dick, A.; International Conference on Machine Learning (30th : 2013 : Atlanta, Georgia, U.S.A.)