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Results 51-60 of 68 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
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)
2011Graph mode-based contextual kernels for robust SVM trackingLi, X.; Dick, A.; Wang, H.; Shen, C.; Van Den Hengel, A.; International Conference on Computer Vision (13th : 2011 : Barcelona, Spain)
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)
2012Robust tracking with weighted online structured learningYao, R.; Shi, Q.; Shen, C.; Zhang, Y.; Van Den Hengel, A.; Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmidt, C.; European Conference on Computer Vision (12th : 2012 : Florence, Italy)
2013Efficient pedestrian detection by directly optimizing the partial area under the ROC curvePaisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.; International Conference on Computer Vision (2013 : Sydney)
2012Fast training of effective multi-class boosting using coordinate descent optimizationLin, G.; Shen, C.; Van Den Hengel, A.; Suter, D.; Asian Conference on Computer Vision (11th : 2012 : Daejeon, Korea)
2011Is face recognition really a compressive sensing problem?Shi, Q.; Eriksson, A.; Van Den Hengel, A.; Shen, C.; Conference on Computer Vision and Pattern Recognition (2011 : Rhode Island, USA)
2013Extended depth-of-field via focus stacking and graph cutsZhang, C.; Bastian, J.; Shen, C.; Van Den Hengel, A.; Shen, T.; Conference on Image Processing (2013 : Melbourne)
2013Approximate constraint generation for efficient structured boostingLin, G.; Shen, C.; Van Den Hengel, A.; International Conference on Image Processing (20th : 2013 : Melbourne, Australia)
2013Part-based visual tracking with online latent structural learningYao, R.; Shi, Q.; Shen, C.; Zhang, Y.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (26th : 2013 : Portland, Oregon)