1. Adelaide Research & Scholarship

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Results 21-30 of 60 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2015Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFsLi, B.; Shen, C.; Dai, Y.; Van Den Hengel, A.; He, M.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
2016Online unsupervised feature learning for visual trackingLiu, F.; Shen, C.; Reid, I.; Van Den Hengel, A.
2014A scalable stagewise approach to large-margin multiclass loss-based boostingPaisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.
2013A survey of appearance models in visual object trackingLi, X.; Hu, W.; Shen, C.; Zhang, Z.; Dick, A.; Van Den Hengel, A.
2013Training effective node classifiers for cascade classificationShen, C.; Wang, P.; Paisitkriangkrai, S.; Van Den Hengel, A.
2015Worst case linear discriminant analysis as scalable semidefinite feasibility problemsLi, H.; Shen, C.; Van Den Hengel, A.; Shi, Q.
2013Shape similarity analysis by self-tuning locally constrained mixed-diffusionLuo, L.; Shen, C.; Zhang, C.; Van Den Hengel, A.
2014Fast approximate L∞ minimization: speeding up robust regressionShen, F.; Shen, C.; Hill, R.; Van Den Hengel, A.; Tang, Z.
2013Fully corrective boosting with arbitrary loss and regularizationShen, C.; Li, H.; Van Den Hengel, A.
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)

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