1. Adelaide Research & Scholarship

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Results 51-60 of 150 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2016Ask me anything: free-form visual question answering based on knowledge from external sourcesWu, Q.; Wang, P.; Shen, C.; Dick, A.; Van Den Hengel, A.; 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV)
2017Towards context-aware interaction recognition for visual relationship detectionZhuang, B.; Liu, L.; Shen, C.; Reid, I.; IEEE International Conference on Computer Vision (ICCV) (22 Oct 2017 - 29 Oct 2017 : Venice, Italy)
2017Multi-attention network for one shot learningWang, P.; Liu, L.; Shen, C.; Huang, Z.; van den Hengel, A.; Shen, H.; 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (21 Jul 2017 - 26 Jul 2017 : Honolulu, HI)
2015Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFsLi, B.; Shen, C.; Dai, Y.; Van Den Hengel, A.; He, M.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
2017The VQA-machine: learning how to use existing vision algorithms to answer new questionsWang, P.; Wu, Q.; Shen, C.; van den Hengel, A.; 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (21 Jul 2017 - 26 Jul 2017 : Honolulu)
2016Efficient semidefinite branch-and-cut for MAP-MRF inferenceWang, P.; Shen, C.; van den Hengel, A.; Torr, P.
2016Canonical principal angles correlation analysis for two-view dataWang, S.; Lu, J.; Gu, X.; Shen, C.; Xia, R.; Yang, J.
2016Online unsupervised feature learning for visual trackingLiu, F.; Shen, C.; Reid, I.; Van Den Hengel, A.
2016A generalized probabilistic framework for compact codebook creationLiu, L.; Wang, L.; Shen, C.
2014A scalable stagewise approach to large-margin multiclass loss-based boostingPaisitkriangkrai, S.; Shen, C.; Van Den Hengel, A.

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