1. Adelaide Research & Scholarship

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Results 91-100 of 150 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2017Towards context-aware interaction recognition for visual relationship detectionZhuang, B.; Liu, L.; Shen, C.; Reid, I.; IEEE International Conference on Computer Vision (ICCV) (22 Oct 2017 - 29 Oct 2017 : Venice, Italy)
2017Deep learning for 2D scan matching and loop closureLi, J.; Zhan, H.; Chen, B.; Reid, I.; Lee, G.; Bicchi, A.; Okamura, A.; IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (24 Sep 2017 - 28 Sep 2017 : Vancouver, Canada)
2017Multi-attention network for one shot learningWang, 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)
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)
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)
2017Video Segmentation via Multiple Granularity AnalysisYang, R.; Ni, B.; Ma, C.; Xu, Y.; Yang, X.; 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (21 Jul 2017 - 26 Jul 2017 : Honolulu)
2017Data analysis and call prediction on dyadic data from an understudied populationNasim, M.; Rextin, A.; Hayat, S.; Khan, N.; Malik, M.
2017Architecting cloud-enabled systems: a systematic survey of challenges and solutionsChauhan, M.; Babar, M.; Benatallah, B.
2017Particle swarm optimization for single objective continuous space problems: a reviewBonyadi, M.; Michalewicz, Z.
2017Unsupervised metric fusion over multiview data by graph random walk-based cross-view diffusionWang, Y.; Zhang, W.; Wu, L.; Lin, X.; Zhao, X.

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