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Preview	Issue Date	Title	Author(s)
	2023	Instance-Dependent Noisy Label Learning via Graphical Modelling	Garg, 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)
	2023	Hyperdimensional Feature Fusion for Out-of-Distribution Detection	Wilson, 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)
	2023	Realisations of elliptic operators on compact manifolds with boundary	Bandara, L.; Goffeng, M.; Saratchandran, H.
	2023	HOP+: History-Enhanced and Order-Aware Pre-Training for Vision-and-Language Navigation	Qiao, Y.; Qi, Y.; Hong, Y.; Yu, Z.; Wang, P.; Wu, Q.
	2023	Active-learning accelerated computational screening of A₂B@NG catalysts for CO₂ electrochemical reduction	Li, X.; Li, H.; Zhang, Z.; Shi, J.Q.; Jiao, Y.; Qiao, S.-Z.
	2023	Visual Place Recognition: A Tutorial	Schubert, S.; Neubert, P.; Garg, S.; Milford, M.; Fischer, T.
	2023	Predicting progression of Parkinson’s disease motor outcomes using a multimodal combination of baseline clinical measures, neuroimaging and biofluid markers	McNamara, 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)
	2023	Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling	Wang, 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)
	2023	Discovery of Graphene Growth Alloy Catalysts Using High-Throughput Machine Learning	Li, X.; Shi, J.Q.; Page, A.J.
	2023	Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images	Tian, Y.; Liu, F.; Pang, G.; Chen, Y.; Liu, Y.; Verjans, J.W.; Singh, R.; Carneiro, G.
	2022	V2C: Visual Voice Cloning	Chen, 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)
	2022	Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes	Tian, 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)
	2022	UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier	Xie, 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)
	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))
	2022	ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification	Liu, 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)
	2022	A New Higher Order Yang-Mills-Higgs Flow on Riemannian 4-Manifolds	Saratchandran, H.; Zhang, J.; Zhang, P.
	2022	Semantic–geometric visual place recognition: a new perspective for reconciling opposing views	Garg, S.; Suenderhauf, N.; Milford, M.
	2022	Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems	Hausler, S.; Xu, M.; Garg, S.; Chakravarty, P.; Shrivastava, S.; Vora, A.; Milford, M.
	2022	Hip osteoarthritis: A novel network analysis of subchondral trabecular bone structures	Dorraki, M.; Muratovic, D.; Fouladzadeh, A.; Verjans, J.W.; Allison, A.; Findlay, D.M.; Abbott, D.; Yooseph, S.
	2022	Dynamic Convolution for 3D Point Cloud Instance Segmentation	He, T.; Shen, C.; Hengel, A.V.D.