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Browsing "Australian Institute for Machine Learning publications" by Title
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Showing results 23 to 42 of 123
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Issue Date
Title
Author(s)
2017
Data-driven approximations to NP-hard problems
Milan, 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)
2019
Deep anomaly detection with deviation networks
Pang, 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)
2022
Deep graph-level anomaly detection by glocal knowledge distillation
Ma, 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))
2019
Deep graphical feature learning for the feature matching problem
Zhang, Z.
;
Lee, W.S.
;
IEEE International Conference on Computer Vision (ICCV) (27 Oct 2019 - 2 Nov 2019 : Seoul, South Korea)
2021
Deep learning for anomaly detection: challenges, methods, and opportunities
Pang, G.
;
Cao, L.
;
Aggarwal, C.
;
ACM International Conference on Web Search and Data Mining (WSDM) (8 Mar 2021 - 12 Mar 2021 : virtual online)
2017
Deep linear discriminant analysis on fisher networks: a hybrid architecture for person re-identification
Wu, L.
;
Chunhua, S.
;
Van Den Hengel, A.
2018
Deep regression tracking with shrinkage loss
Lu, 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)
2017
Deep subspace clustering networks
Ji, 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)
2015
Deeply learning the messages in message passing inference
Lin, 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)
2017
Dense monocular reconstruction using surface normals
Weerasekera, C.
;
Latif, Y.
;
Garg, R.
;
Reid, I.
;
IEEE International Conference on Robotics and Automation (ICRA) (29 May 2017 - 3 Jun 2017 : Singapore)
2023
Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning
Li, X.
;
Shi, J.Q.
;
Page, A.J.
2019
Discriminative clustering of high-dimensional data using generative modeling
Abdi, 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)
2018
Don't look back: Robustifying place categorization for viewpoint- and condition-invariant place recognition
Garg, S.
;
Suenderhauf, N.
;
Milford, M.
;
IEEE International Conference on Robotics and Automation (ICRA) (21 May 2018 - 25 May 2018 : Brisbane, Australia)
2022
Dynamic Convolution for 3D Point Cloud Instance Segmentation
He, T.
;
Shen, C.
;
Hengel, A.V.D.
2018
Efficient dense point cloud object reconstruction using deformation vector fields
Li, K.
;
Pham, T.
;
Zhan, H.
;
Reid, I.
;
Ferrari, V.
;
European Conference on Computer Vision (ECCV) (8 Sep 2018 - 14 Sep 2018 : Munich, Germany)
2000
Estimating vision parameters given data with covariances
Chojnacki, W.
;
Brooks, M.
;
Van Den Hengel, A.
;
Gawley, D.
;
Mirmehdi, M.
;
Thomas, B.
;
British Machine Vision Conference (11th : 2000 : Bristol, UK)
2017
Explicit knowledge-based reasoning for visual question answering
Wang, 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)
2022
ForeSI: Success-Aware Visual Navigation Agent
Kazemi 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)
2018
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT
Xie, Y.
;
Zhang, J.
;
Xia, Y.
;
Fulham, M.
;
Zhang, Y.
2017
FVQA: fact-based Visual Question Answering
Wang, P.
;
Wu, Q.
;
Shen, C.
;
Dick, A.
;
Van Den Hengel, A.