1. Adelaide Research & Scholarship

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Results 41-50 of 151 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2022ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching NetworksChuah, W.Q.; Tennakoon, R.; Hoseinnezhad, R.; Bab-Hadiashar, A.; Suter, D.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2022 - 24 Jun 2022 : New Orleans, Louisiana)
2016Conformal surface alignment with optimal Möbius searchLe, H.; Chin, T.; Suter, D.; 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR 2016) (26 Jun 2016 - 1 Jul 2016 : Las Vegas, NV)
2018Deterministic consensus maximization with biconvex programmingCai, Z.; Chin, T.; Le, H.; Suter, D.; Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y.; 15th European Conference on Computer Vision (8 Sep 2018 - 14 Sep 2018 : Munich)
2015Mode-Seeking on Hypergraphs for Robust Geometric Model FittingWang, H.; Xiao, G.; Yan, Y.; Suter, D.; IEEE International Conference on Computer Vision (ICCV) (11 Dec 2015 - 18 Dec 2015 : Santiago, Chile)
2014Clustering with hypergraphs: the case for large hyperedgesPurkait, P.; Chin, T.; Ackermann, H.; Suter, D.; Fleet, D.; Pajdla, T.; Schiele, B.; Tuytelaars, T.; 13th European Conference on Computer Vision (ECCV 2014) (6 Sep 2014 - 12 Sep 2014 : Zurich, Switzerland)
2016Superpixel-based two-view deterministic fitting for multiple-structure dataXiao, G.; Wang, H.; Yan, Y.; Suter, D.; Leibe, B.; Matas, J.; Sebe, N.; Welling, M.; 14th European Conference on Computer Vision (ECCV) (8 Oct 2016 - 16 Oct 2016 : Amsterdam, Netherlands)
2017RATSAC - Random tree sampling for maximum consensus estimationLe, H.; Chin, T.; Suter, D.; Guo, Y.; Li, H.; Cai, W.; Murshed, M.; Wang, Z.; Gao, J.; Feng, D.; 2017 International Conference on Digital Image Computing - Techniques and Applications (DICTA) (29 Nov 2017 - 1 Dec 2017 : Sydney)
2014Interacting geometric priors for robust multimodel fittingPham, T.; Chin, T.; Schindler, K.; Suter, D.
2023Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning ApproachTruong, G.; Le, H.; Zhang, E.; Suter, D.; Gilani, S.Z.
2016Robust model fitting using higher than minimal subset samplingTennakoon, R.; Bab-Hadiashar, A.; Cao, Z.; Hoseinnezhad, R.; Suter, D.

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