1. Adelaide Research & Scholarship

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Results 1-10 of 21 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2019Deep attention-based classification network for robust depth predictionLi, R.; Xian, K.; Shen, C.; Cao, Z.; Lu, H.; Hang, L.; Jawahar, C.V.; Li, H.; Mori, G.; Schindler, K.; 14th Asian Conference on Computer Vision (ACCV) (2 Dec 2018 - 6 Dec 2018 : Perth, Western Australia)
2019Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identificationWei, X.S.; Zhang, C.L.; Liu, L.; Shen, C.; Wu, J.; Jawahar, C.V.; Li, H.; Mori, G.; Schindler, K.; Asian Conference on Computer Vision (ACCV) (2 Dec 2018 - 6 Dec 2018 : Perth, Australia)
2018Reading car license plates using deep neural networksLi, H.; Wang, P.; You, M.; Shen, C.
2006Classification-based likelihood functions for Bayesian trackingShen, C.; Li, H.; Brooks, M.; Piccardi, M.; Hintz, T.; IEEE Conference on Video and Signal Based Surveillance (2006 : Sydney, Australia)
2007Feature extraction using sequential semidefinite programmingShen, C.; Li, H.; Brooks, M.; Bottema, M.; Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (9th : 2007 : Glenelg, Australia)
2007A convex programming approach to the trace quotient problemShen, C.; Li, H.; Brooks, M.; Yasushi Yagi,; Asian Conference on Computer Vision (8th : 2007 : Tokyo, Japan)
2010Interactive color image segmentation with linear programmingLi, H.; Shen, C.
2015Worst case linear discriminant analysis as scalable semidefinite feasibility problemsLi, H.; Shen, C.; Van Den Hengel, A.; Shi, Q.
2016Face recognition using linear representation ensemblesLi, H.; Shen, F.; Shen, C.; Yang, Y.; Gao, Y.
2013Fully corrective boosting with arbitrary loss and regularizationShen, C.; Li, H.; Van Den Hengel, A.

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