Browsing "Australian Institute for Machine Learning" by By Date

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PreviewIssue DateTitleAuthor(s)
2023Instance-Dependent Noisy Label Learning via Graphical ModellingGarg, A.; Nguyen, C.; Felix, R.; Do, T.-T.; Carneiro, G.; IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2 Jan 2023 - 7 Jan 2023 : Waikoloa, HI, USA)
2023Hyperdimensional Feature Fusion for Out-of-Distribution DetectionWilson, S.; Fischer, T.; Sunderhauf, N.; Dayoub, F.; IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (3 Jan 2023 - 7 Jan 2023 : Waikoloa, Hawaii)
2023Realisations of elliptic operators on compact manifolds with boundaryBandara, L.; Goffeng, M.; Saratchandran, H.
2023HOP+: History-Enhanced and Order-Aware Pre-Training for Vision-and-Language NavigationQiao, Y.; Qi, Y.; Hong, Y.; Yu, Z.; Wang, P.; Wu, Q.
2023Active-learning accelerated computational screening of A₂B@NG catalysts for CO₂ electrochemical reductionLi, X.; Li, H.; Zhang, Z.; Shi, J.Q.; Jiao, Y.; Qiao, S.-Z.
2023Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical imagesTian, Y.; Liu, F.; Pang, G.; Chen, Y.; Liu, Y.; Verjans, J.W.; Singh, R.; Carneiro, G.
2023Visual Place Recognition: A TutorialSchubert, S.; Neubert, P.; Garg, S.; Milford, M.; Fischer, T.
2023Predicting progression of Parkinson’s disease motor outcomes using a multimodal combination of baseline clinical measures, neuroimaging and biofluid markersMcNamara, A.; Ellul, B.; Baetu, I.-I.; Lau, S.; Jenkinson, M.; Collins-Praino, L.; 6th World Parkinson Congress (4 Jul 2023 - 7 Jul 2023 : Barcelona, Spain)
2023Multi-Modal Learning With Missing Modality via Shared-Specific Feature ModellingWang, H.; Chen, Y.; Ma, C.; Avery, J.C.; Hull, M.L.; Carneiro, G.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (17 Jun 2023 - 24 Jun 2023 : Vancouver, Canada)
2023Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine LearningLi, X.; Shi, J.Q.; Page, A.J.
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)
2022What Can Robotics Research Learn from Computer Vision Research?Corke, P.; Dayoub, F.; Hall, D.; Skinner, J.; Sünderhauf, N.; Asfour, T.; Yoshida, E.; Park, J.; Christensen, H.; Khatib, O.; International Symposium of Robotic Research (ISRR) (6 Oct 2019 - 10 Oct 2019 : Hanoi, Vietnam)
2022V2C: Visual Voice CloningChen, Q.; Tan, M.; Qi, Y.; Zhou, J.; Li, Y.; Wu, Q.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2022 - 24 Jun 2022 : New Orleans, Louisiana)
2022Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving ScenesTian, Y.; Liu, Y.; Pang, G.; Liu, F.; Chen, Y.; Carneiro, G.; Avidan, S.; Brostow, G.; Cisse, M.; Farinella, G.M.; Hassner, T.; European Conference on Computer Vision (ECCV) (23 Oct 2022 - 27 Oct 2022 : Tel Aviv, Israel)
2022UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality BarrierXie, Y.; Zhang, J.; Xia, Y.; Wu, Q.; Avidan, S.; Brostow, G.; Cisse, M.; Farinella, G.M.; Hassner, T.; European Conference on Computer Vision (ECCV) (23 Oct 2022 - 27 Oct 2022 : Tel Aviv)
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))
2022ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationLiu, F.; Tian, Y.; Chen, Y.; Liu, Y.; Belagiannis, V.; Carneiro, G.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2022 - 24 Jun 2022 : New Orleans, Louisiana)
2022A New Higher Order Yang-Mills-Higgs Flow on Riemannian 4-ManifoldsSaratchandran, H.; Zhang, J.; Zhang, P.
2022Semantic–geometric visual place recognition: a new perspective for reconciling opposing viewsGarg, S.; Suenderhauf, N.; Milford, M.
2022Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera SystemsHausler, S.; Xu, M.; Garg, S.; Chakravarty, P.; Shrivastava, S.; Vora, A.; Milford, M.