Browsing "School of Computer Science" by Author Van Den Hengel, A.

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PreviewIssue DateTitleAuthor(s)
2014Large-margin learning of compact binary image encodingsPaisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.
2017Large-scale binary quadratic optimization using semidefinite relaxation and applicationsWang, P.; Shen, C.; Van Den Hengel, A.; Torr, P.
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)
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) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
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.)
2016Learning sparse confidence-weighted classifier on very high dimensional dataTan, M.; Yan, Y.; Wang, L.; Van Den Hengel, A.; Tsang, I.; Shi, Q.; 30th AAAI Conference on Artificial Intelligence (AAAI) (12 Feb 2016 - 17 Feb 2016 : Phoenix, AZ)
2015Learning to rank in person re-identification with metric ensemblesPaisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
2013Leveraging surrounding context for scene text detectionLi, Y.; Shen, C.; Jia, W.; Van Den Hengel, A.; International Conference on Image Processing (20th : 2013 : Melbourne, Australia)
2008Local 3D structure recognition in range imagesFlint, A.; Dick, A.; Van Den Hengel, A.
2009Measuring latency for video surveillance systemsHill, R.; Madden, C.; Van Den Hengel, A.; Detmold, H.; Dick, A.; Shi, H.; Zhang, Y.C.; Bottema, M.J.; Lovell, B.C.; Maeder, A.J.; Digital Image Computing: Techniques and Applications (2009 : Melbourne, Australia)
2015Mid-level deep pattern miningLi, Y.; Liu, L.; Shen, C.; Van Den Hengel, A.; 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
2008Middleware for distributed video surveillanceDetmold, H.; Van Den Hengel, A.; Dick, A.; Falkner, K.; Munro, D.; Morrison, R.
2006Middleware for video surveillance networksDetmold, H.; Dick, A.; Falkner, K.; Munro, D.; Van Den Hengel, A.; Morrison, R.; Cahill, V.; Michiels, S.; International Workshop on Middleware for Sensor Networks (2006 : Melbourne, Australia)
2009Multi-projective Parameter Estimation for Sets of Homogeneous MatricesChojnacki, W.; Hill, R.; Van Den Hengel, A.; Brooks, M.; Shi, H.; Zhang, Y.C.; Bottema, M.J.; Lovell, B.C.; Maeder, A.J.; Digital Image Computing: Techniques and Applications (2009 : Melbourne, Australia)
2010Multiple homography estimation with full consistency constraintsChojnacki, W.; Szpak, Z.; Brooks, M.; Van Den Hengel, A.; Zhang, J.; Shen, C.; Geers, G.; Digital Image Computing: Techniques and Applications (2010 : Sydney, Australia)
2012Non-sparse linear representations for visual tracking with online reservoir metric learningLi, X.; Shen, C.; Shi, Q.; Dick, A.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (25th : 2012 : Providence, Rhode Island)
2013On the dimension of the set of two-view multi-homography matricesChojnacki, W.; Van Den Hengel, A.
2000On the fitting of surfaces to data with covariancesChojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D.
2016Online unsupervised feature learning for visual trackingLiu, F.; Shen, C.; Reid, I.; Van Den Hengel, A.
2009Optimization on the manifold of multiple homographiesEriksson, A.; Van Den Hengel, A.; IEEE ICCV Workshops (12th : 2009 : Kyoto, Japan)