1. Adelaide Research & Scholarship

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Results 1-10 of 17 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2017Explicit knowledge-based reasoning for visual question answeringWang, P.; Wu, Q.; Shen, C.; Dick, A.; Van Den Hengel, A.; Sierra, C.; 26th International Joint Conference on Artificial Intelligence (IJCAI-17) (19 Aug 2017 - 26 Aug 2017 : Melbourne)
2018Visual Question Answering with memory-augmented networkMa, C.; Shen, C.; Dick, A.; Wu, Q.; Wang, P.; Van Den Hengel, A.; Reid, I.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2018 - 22 Jun 2018 : Salt Lake City, Utah)
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.)
2017FVQA: fact-based Visual Question AnsweringWang, P.; Wu, Q.; Shen, C.; Dick, A.; Van Den Hengel, A.
2017Visual question answering: a survey of methods and datasetsWu, Q.; Teney, D.; Wang, P.; Shen, C.; Dick, A.; van den Hengel, A.
2016What value do explicit high level concepts have in vision to language problems?Wu, Q.; Shen, C.; Liu, L.; 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)
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)
2013A survey of appearance models in visual object trackingLi, X.; Hu, W.; Shen, C.; Zhang, Z.; Dick, A.; Van Den Hengel, A.
2013Visual tracking with spatio-temporal Dempster-Shafer information fusionLi, X.; Dick, A.; Shen, C.; Zhang, Z.; Van Den Hengel, A.; Wang, H.
2013Incremental learning of 3D-DCT compact representations for robust visual trackingLi, X.; Dick, A.; Shen, C.; Van Den Hengel, A.; Wang, H.

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