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Showing results 1764 to 1783 of 3132 < previous   next >
PreviewIssue DateTitleAuthor(s)
2011Laplacian margin distribution boosting for learning from sparsely labeled dataWang, T.; He, X.; Shen, C.; Barnes, N.; Digital Image Computing Techniques and Applications (2011 : Noosa, Qld.)
2014Large-margin learning of compact binary image encodingsPaisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.
2017Large-scale binary quadratic optimization using semidefinite relaxation and applicationsWang, P.; Shen, C.; Van Den Hengel, A.; Torr, P.
2017Large-scale camera network topology estimation by lighting variationZhu, M.; Dick, A.; van den Hengel, A.; Blanc-Talon, J.; Penne, R.; Philips, W.; Popescu, D.; Scheunders, P.; 18th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2017) (18 Sep 2017 - 21 Sep 2017 : Antwerp, Belgium)
2014Large-scale camera topology mapping: application to re-identificationDick, A.; Hengel, A.; Detmold, H.; Gong, S.; Cristani, M.; Yan, S.; Loy, C.
2023Larger Offspring Populations Help the (1 + (λ, λ)) Genetic Algorithm to Overcome the NoiseIvanova, A.; Antipov, D.; Doerr, B.; Paquete, L.; Genetic and Evolutionary Computation Conference (GECCO) (15 Jul 2023 - 19 Jul 2023 : Lisbon, Portugal)
2015Last-level cache side-channel attacks are practicalLiu, F.; Yarom, Y.; Ge, Q.; Heiser, G.; Lee, R.; Security and Privacy (SP) (17 May 2015 - 21 May 2015 : San Jose, CA)
2013Latent data association: Bayesian model selection for multi-target trackingSegal, A.; Reid, I.; International Conference on Computer Vision (2013 : Sydney, Australia)
2003Lattice QCD, gauge fixing and the transition to the perturbative regimeWilliams, A.; International Conference on Quark Confinement and the Hadron Spectrum (5th : 2002 : Gargnano, Italy)
2020LAVAPilot: lightweight UAV trajectory planner with situational awareness for embedded autonomy to track and locate radio-tagsNguyen, H.V.; Chen, F.; Chesser, J.; Rezatofighi, H.; Ranasinghe, D.; 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (25 Oct 2020 - 29 Oct 2020 : Las Vegas, NV, USA (Virtual))
2000Layer extraction with a bayesian model of shapesTorr, P.; Dick, A.R.; Cipolla, R.; European Conference on Computer Vision (ECCV) (26 Jun 2000 - 1 Jul 2000 : Dublin)
2021Learn to Predict Sets Using Feed-Forward Neural NetworksRezatofighi, H.; Kaskman, R.; Taghizadeh Motlagh, S.F.; Shi, Q.; Milan, A.; Cremers, D.; Leal-Taixé, L.; Reid, I.D.
2013Learning a hybrid similarity measure for image retrievalWu, J.; Shen, H.; Li, Y.; Xiao, Z.; Lu, M.; Wang, C.
2017Learning a no-reference quality metric for single-image super-resolutionMa, C.; Yang, C.-Y.; Yang, X.; Yang, M.-H.
2007Learning and matching of dynamic shape manifolds for human action recognitionWang, L.; Suter, D.
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)