1. Adelaide Research & Scholarship

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Results 1-10 of 12 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2018Deblurring natural image using super-gaussian fieldsLiu, Y.; Dong, W.; Gong, D.; Zhang, L.; Shi, Q.; Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y.; 15th European Conference on Computer Vision (8 Sep 2018 - 14 Sep 2018 : Munich)
2018Cluster sparsity field: an internal hyperspectral imagery prior for reconstructionZhang, L.; Wei, W.; Zhang, Y.; Shen, C.; van den Hengel, A.; Shi, Q.
2021An attention-guided deep neural network with multi-scale feature fusion for liver vessel segmentationYan, Q.; Wang, B.; Zhang, W.; Luo, C.; Xu, W.; Xu, Z.; Zhang, Y.; Shi, Q.; Zhang, L.; You, Z.
2021Towards accurate HDR imaging with learning generator constraintsYan, Q.; Wang, B.; Zhang, L.; Zhang, J.; You, Z.; Shi, Q.; Zhang, Y.
2020Accurate tensor completion via adaptive low-rank representationZhang, L.; Wei, W.; Shi, Q.; Shen, C.; van den Hengel, A.; Zhang, Y.
2019One-step adaptive Markov random field for structured compressive sensingSuwanwimolkul, S.; Zhang, L.; Ranasinghe, D.C.; Shi, Q.
2019Variational bayesian dropout with a hierarchical priorLiu, Y.; Dong, W.; Zhang, L.; Gong, D.; Shi, Q.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (15 Jun 2019 - 20 Jun 2019 : Long Beach, USA)
2019Accurate imagery recovery using a multi-observation patch modelZhang, L.; Wei, W.; Shi, Q.; Shen, C.; van den Hengel, A.; Zhang, Y.
2016Cluster sparsity field for hyperspectral imagery denoisingZhang, L.; Wei, W.; Zhang, Y.; Shen, C.; Van Den Hengel, A.; Shi, Q.; Leibe, B.; Matas, J.; Sebe, N.; Welling, M.; 14th European Conference on Computer Vision (ECCV) (8 Oct 2016 - 16 Oct 2016 : Amsterdam, Netherlands)
2015Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity PriorZhang, L.; Wei, W.; Zhang, Y.; Li, F.; Shen, C.; Shi, Q.; IEEE International Conference on Computer Vision (11 Dec 2015 - 18 Dec 2015 : Santiago, Chile)

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