1. Adelaide Research & Scholarship

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Results 1-10 of 12 (Search time: 0.001 seconds).
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PreviewIssue DateTitleAuthor(s)
2008Real-time pedestrian detection using a boosted multi-layer classifierPaisitkriangkrai, S.; Shen, C.; Zhang, J.; European Conference on Computer Vision (10th : 2008 : Marseille, France)
2011Efficiently learning a detection cascade with sparse eigenvectorsShen, C.; Paisitkriangkrai, S.; Zhang, J.
2008Fast pedestrian detection using a cascade of boosted covariance featuresPaisitkriangkrai, S.; Shen, C.; Zhang, J.
2008Performance evaluation of local features in human classification and detectionPaisitkriangkrai, S.; Shen, C.; Zhang, J.
2011Face detection with effective feature extractionPaisitkriangkrai, S.; Shen, C.; Zhang, J.; Kimmel, R.; Klette, R.; Sugimoto, A.; Asian Conference on Computer Vision (10th : 2010 : Queenstown, New Zealand)
2007An experimental evaluation of local features for pedestrian classificationPaisitkriangkrai, S.; Shen, C.; Zhang, J.; Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (9th : 2007 : Glenelg, Australia)
2011Incremental training of a detector using online sparse eigendecompositionPaisitkriangkrai, S.; Shen, C.; Zhang, J.
2009Efficiently training a better visual detector with sparse eigenvectorsPaisitkriangkrai, S.; Shen, C.; Zhang, J.; IEEE Conference on Computer Vision and Pattern Recognition (22nd : 2009 : Miami, FL, USA)
2009A two-layer night-time vehicle detectorWang, W.; Shen, C.; Zhang, J.; Paisitkriangkrai, S.; Shi, H.; Zhang, Y.C.; Bottema, M.J.; Lovell, B.C.; Maeder, A.J.; Digital Image Computing Techniques and Applications (DICTA) (2009 : Melbourne, Australia)
2009An overview of fast pedestrian detection: feature selection and cascade framework of boosted featuresZhang, J.; Paisitkriangkrai, S.; Shen, C.; IEEE International Conference on Multimedia and Expo 2009, ICME 2009 (2009 : New York, NY)

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