Adelaide Research & Scholarship: Search

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Preview	Issue Date	Title	Author(s)
	2019	Accurate imagery recovery using a multi-observation patch model	Zhang, L.; Wei, W.; Shi, Q.; Shen, C.; van den Hengel, A.; Zhang, Y.
	2018	Goal-oriented visual question generation via intermediate rewards	Zhang, 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)
	2017	Multi-attention network for one shot learning	Wang, 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)
	2017	The VQA-machine: learning how to use existing vision algorithms to answer new questions	Wang, 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)
	2016	Efficient semidefinite branch-and-cut for MAP-MRF inference	Wang, P.; Shen, C.; van den Hengel, A.; Torr, P.
	2014	StructBoost: boosting methods for predicting structured output variables	Shen, C.; Lin, G.; van den Hengel, A.
	2021	Dual-attention-guided network for ghost-free high dynamic range imaging	Yan, Q.; Gong, D.; Shi, J.Q.; van den Hengel, A.; Shen, C.; Reid, I.; Zhang, Y.
	2014	RandomBoost: simplified multiclass boosting through randomization	Paisitkriangkrai, S.; Shen, C.; Shi, Q.; van den Hengel, A.
	2014	Efficient dual approach to distance metric learning	Shen, C.; Kim, J.; Liu, F.; Wang, L.; van den Hengel, A.
	2014	Characterness: an indicator of text in the wild	Li, Y.; Jia, W.; Shen, C.; van den Hengel, A.