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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)
2018HCVRD: A benchmark for large-scale human-centered visual relationship detectionZhuang, B.; Wu, Q.; Shen, C.; Reid, I.; Van Den Hengel, A.; AAAI Conference on Artificial Intelligence (AAAI) (2 Feb 2018 - 7 Feb 2018 : New Orleans)
2017FVQA: fact-based Visual Question AnsweringWang, P.; Wu, Q.; Shen, C.; Dick, A.; Van Den Hengel, A.
2018Parallel attention: a unified framework for visual object discovery through dialogs and queriesZhuang, B.; Wu, Q.; Shen, C.; Reid, I.; van den Hengel, A.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2018 - 23 Jun 2018 : Salt Lake City, UT)
2018Goal-oriented visual question generation via intermediate rewardsZhang, J.; Wu, Q.; Shen, C.; Zhang, J.; Lu, J.; van den Hengel, A.; Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y.; 15th European Conference on Computer Vision (ECCV 2018) (8 Sep 2018 - 14 Sep 2018 : Munich)
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)
2017Visual Question Answering: a tutorialTeney, D.; Wu, Q.; Van Den Hengel, A.

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