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Showing results 1779 to 1798 of 3132 < previous   next >
PreviewIssue DateTitleAuthor(s)
2008Learning cascaded reduced - set SVMs using linear programmingKim, J.; Shen, C.; Wang, L.; International Conference on Digital Image Computing - Techniques and Applications, (2008 : Canberra, ACT, Australia)
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)
2020Learning deep gradient descent optimization for image deconvolutionGong, D.; Zhang, Z.; Shi, Q.; van den Hengel, A.; Shen, C.; Zhang, Y.
2021Learning deep part-aware embedding for person retrievalZhao, Y.; Shen, C.; Yu, X.; Chen, H.; Gao, Y.; Xiong, S.
2019Learning deeply supervised good features to match for dense monocular reconstructionWeerasekera, C.S.; Garg, R.; Latif, Y.; Reid, I.; Jawahar, C.V.; Li, H.; Mori, G.; Schindler, K.; Asian Conference on Computer Vision (ACCV) (2 Dec 2018 - 6 Dec 2018 : Perth, Australia)
2016Learning depth from single monocular images using deep convolutional neural fieldsLiu, F.; Shen, C.; Lin, G.; Reid, I.
2016Learning discriminative Bayesian networks from high-dimensional continuous neuroimaging dataZhou, L.; Wang, L.; Liu, L.; Ogunbona, P.; Shen, D.
2022Learning discriminative region representation for person retrievalZhao, Y.; Yu, X.; Gao, Y.; Shen, C.
2017Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognitionQiao, R.; Liu, L.; Shen, C.; van den Hengel, A.
2016Learning from less for better: semi-supervised activity recognition via shared structure discoveryYao, L.; Nie, F.; Sheng, Q.; Gu, T.; Li, X.; Wang, S.; Lukowicz, P.; Krüger, A.; Bulling, A.; Lim, Y.-K.; Patel, S.; 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) (12 Sep 2016 - 16 Sep 2016 : Heidelberg, Germany)
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)
2014Learning graphs to model visual objects across different depictive stylesWu, Q.; Cai, H.; Hall, P.; Fleet, D.; Pajdia, T.; Schiele, B.; Tuytelaars, T.; 13th European Conference on Computer Vision (ECCV) (6 Sep 2014 - 12 Sep 2014 : Zurich, Switzerland)
2009Learning group activity in soccer videos from local motionKong, Y.; Hu, W.; Zhang, X.; Wang, H.; Jia, Y.; Asian Conference on Computer Vision (9th : 2009 : Xi'an, China)
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 local image descriptors with deep siamese and triplet convolutional networks by minimizing global loss functionsVijay Kumar, B.; Carneiro, G.; Reid, I.; 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV)
2009Learning multi-criteria fuzzy rule based decision models for hedge fund managementGhandar, A.; Michalewicz, Z.; Zurbrugg, R.; Metaheuristics International Conference (8th : 2009 : Hamburg, Germany)
2013Learning people detectors for tracking in crowded scenesTang, S.; Andriluka, M.; Milan, A.; Schindler, K.; Roth, S.; Schiele, B.; IEEE International Conference on Computer Vision (14th : 2013 : Sydney, Australia)
2015Learning representative deep features for image set analysisWu, Z.; Huang, Y.; Wang, L.
2023Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-IdentificationWu, L.Y.; Liu, L.; Wang, Y.; Zhang, Z.; Boussaid, F.; Bennamoun, M.; Xie, X.
2015Learning similarity metrics for dynamic scene segmentationTeney, D.; Brown, M.; Kit, D.; Hall, P.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)