1. Adelaide Research & Scholarship

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Results 21-30 of 65 (Search time: 0.006 seconds).
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PreviewIssue DateTitleAuthor(s)
2019New convex relaxations for MRF inference with unknown graphsWang, Z.; Liu, T.; Shi, Q.; Kumar, M.P.; Zhang, J.; IEEE International Conference on Computer Vision (ICCV) (27 Oct 2019 - 2 Nov 2019 : Seoul, South Korea)
2021Learning to zoom-in via learning to zoom-out: real-world super-resolution by generating and adapting degradationSun, W.; Gong, D.; Shi, Q.; van den Hengel, A.; Zhang, Y.
2017Part-based robust tracking using online latent structured learningYao, R.; Shi, Q.; Shen, C.; Zhang, Y.; Van Den Hengel, A.
2017A hierarchical model for recognizing alarming states in a batteryless sensor alarm intervention for preventing falls in older peopleShinmoto Torres, R.; Shi, Q.; van den Hengel, A.; Ranasinghe, D.
2021Towards accurate HDR imaging with learning generator constraintsYan, Q.; Wang, B.; Zhang, L.; Zhang, J.; You, Z.; Shi, Q.; Zhang, Y.
2019Multi-scale dense networks for deep high dynamic range imagingYan, Q.; Gong, D.; Zhang, P.; Shi, Q.; Sun, J.; Reid, I.; Zhang, Y.; IEEE Winter Conference on Applications of Computer Vision (WACV) (7 Jan 2019 - 11 Jan 2019 : Waikoloa Village, HI, USA)
2020Accurate tensor completion via adaptive low-rank representationZhang, L.; Wei, W.; Shi, Q.; Shen, C.; van den Hengel, A.; Zhang, Y.
2016Pairwise matching through max-weight bipartite belief propagationZhang, Z.; Shi, Q.; McAuley, J.; Wei, W.; Zhang, Y.; Van Den Hengel, A.; 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2016) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV)
2019One-step adaptive Markov random field for structured compressive sensingSuwanwimolkul, S.; Zhang, L.; Ranasinghe, D.C.; Shi, Q.
2019Attention-guided network for ghost-free high dynamic range imagingYan, Q.; Gong, D.; Shi, Q.; Van Den Hengel, A.; Shen, C.; Reid, I.; Zhang, Y.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (15 Jun 2019 - 20 Jun 2019 : Long Beach, CA)

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