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Showing results 22 to 41 of 123 < previous   next >
PreviewIssue DateTitleAuthor(s)
2018Classification of medical images in the biomedical literature by jointly using deep and handcrafted visual featuresZhang, J.; Xia, Y.; Xie, Y.; Fulham, M.; Feng, D.D.
2017Data-driven approximations to NP-hard problemsMilan, A.; Rezatofighi, S.; Garg, R.; Dick, A.; Reid, I.; Thirty-first AAAI Conference on Artificial Intelligence (AAAI-17) (4 Feb 2017 - 9 Feb 2017 : San Francisco)
2019Deep anomaly detection with deviation networksPang, G.; Shen, C.; Van Den Hengel, A.; ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) (4 Aug 2019 - 8 Aug 2019 : Anchorage, AK)
2022Deep graph-level anomaly detection by glocal knowledge distillationMa, R.; Pang, G.; Chen, L.; Van Den Hengel, A.; ACM International Conference on Web Search and Data Mining (21 Feb 2022 - 25 Feb 2022 : Tempe, AZ, USA (Virtual online))
2019Deep graphical feature learning for the feature matching problemZhang, Z.; Lee, W.S.; IEEE International Conference on Computer Vision (ICCV) (27 Oct 2019 - 2 Nov 2019 : Seoul, South Korea)
2021Deep learning for anomaly detection: challenges, methods, and opportunitiesPang, G.; Cao, L.; Aggarwal, C.; ACM International Conference on Web Search and Data Mining (WSDM) (8 Mar 2021 - 12 Mar 2021 : virtual online)
2017Deep linear discriminant analysis on fisher networks: a hybrid architecture for person re-identificationWu, L.; Chunhua, S.; Van Den Hengel, A.
2018Deep regression tracking with shrinkage lossLu, X.; Ma, C.; Ni, B.; Yang, X.; Reid, I.; Yang, M.; Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y.; European Conference on Computer Vision (ECCV) (8 Sep 2018 - 14 Sep 2018 : Munich)
2017Deep subspace clustering networksJi, P.; T. Zhang,; H. Li,; M. Salzmann,; Reid, I.; Guyon, I.; Luxburg, U.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S.; Garnett, R.; Conference on Neural Information Processing Systems (NIPS) (4 Dec 2017 - 9 Dec 2017 : Long Beach, CA)
2015Deeply learning the messages in message passing inferenceLin, G.; Shen, C.; Reid, I.; Van Den Hengel, A.; Cortes, C.; Lawrence, N.; Lee, D.; Sugiyama, M.; Garnett, R.; 29th Annual Conference on Neural Information Processing Systems 2015 (NIPS 2015) (7 Dec 2015 - 12 Dec 2015 : Montreal)
2017Dense monocular reconstruction using surface normalsWeerasekera, C.; Latif, Y.; Garg, R.; Reid, I.; IEEE International Conference on Robotics and Automation (ICRA) (29 May 2017 - 3 Jun 2017 : Singapore)
2023Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine LearningLi, X.; Shi, J.Q.; Page, A.J.
2019Discriminative clustering of high-dimensional data using generative modelingAbdi, M.; Lim, C.; Mohamed, S.; Nahavandi, S.; Abbasnejad, E.; Van Den Hengel, A.; IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) (5 Aug 2018 - 8 Aug 2018 : Windsor, Canada)
2018Don't look back: Robustifying place categorization for viewpoint- and condition-invariant place recognitionGarg, S.; Suenderhauf, N.; Milford, M.; IEEE International Conference on Robotics and Automation (ICRA) (21 May 2018 - 25 May 2018 : Brisbane, Australia)
2022Dynamic Convolution for 3D Point Cloud Instance SegmentationHe, T.; Shen, C.; Hengel, A.V.D.
2018Efficient dense point cloud object reconstruction using deformation vector fieldsLi, K.; Pham, T.; Zhan, H.; Reid, I.; Ferrari, V.; European Conference on Computer Vision (ECCV) (8 Sep 2018 - 14 Sep 2018 : Munich, Germany)
2000Estimating vision parameters given data with covariancesChojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D.; Mirmehdi, M.; Thomas, B.; British Machine Vision Conference (11th : 2000 : Bristol, UK)
2017Explicit knowledge-based reasoning for visual question answeringWang, P.; Wu, Q.; Shen, C.; Dick, A.; Van Den Hengel, A.; Sierra, C.; 26th International Joint Conference on Artificial Intelligence (IJCAI-17) (19 Aug 2017 - 26 Aug 2017 : Melbourne)
2022ForeSI: Success-Aware Visual Navigation AgentKazemi Moghaddam, M.; Abbasnejad, E.; Wu, Q.; Qinfeng Shi, J.; Van Den Hengel, A.; IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (4 Jan 2022 - 8 Jan 2022 : Waikoloa, Hawaii)
2018Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CTXie, Y.; Zhang, J.; Xia, Y.; Fulham, M.; Zhang, Y.
Showing results 22 to 41 of 123 < previous   next >