1. Adelaide Research & Scholarship

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Results 11-20 of 30 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2016What's wrong with that object? Identifying images of unusual objects by modelling the detection score distributionWang, P.; Liu, L.; Shen, C.; Huang, Z.; Van Den Hengel, A.; Shen, H.; 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2016) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV)
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)
2019Hyperspectral classification based on lightweight 3-D-CNN with transfer learningZhang, H.; Li, Y.; Jiang, Y.; Wang, P.; Shen, Q.; Shen, C.
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)
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.
2013Training effective node classifiers for cascade classificationShen, C.; Wang, P.; Paisitkriangkrai, S.; Van Den Hengel, A.
2015Efficient SDP inference for fully-connected CRFs based on low-rank decompositionWang, P.; Shen, C.; Van Den Hengel, A.; Conference on Computer Vision and Pattern Recognition (CVPR) (7 Jun 2015 - 12 Jun 2015 : Boston, MA)
2012Fast and robust object detection using asymmetric totally-corrective boostingWang, P.; Shen, C.; Barnes, N.; Zheng, H.
2012UBoost: Boosting with the UniversumShen, C.; Wang, P.; Shen, F.; Wang, H.

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