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Preview	Issue Date	Title	Author(s)
	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	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	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	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)
	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	What 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)
	2022	A New Higher Order Yang-Mills-Higgs Flow on Riemannian 4-Manifolds	Saratchandran, H.; Zhang, J.; Zhang, P.
	2022	Dynamic Convolution for 3D Point Cloud Instance Segmentation	He, T.; Shen, C.; Hengel, A.V.D.
	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	Semantic–geometric visual place recognition: a new perspective for reconciling opposing views	Garg, S.; Suenderhauf, N.; 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.
	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	Globally optimal shape and spin pole determination with lightcurve inversion	Chng, C.-K.; Sasdelli, M.; Chin, T.-J.
	2021	A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs	Hu, Y.; Zhang, Z.; Yao, Y.; Huyan, X.; Zhou, X.; Lee, W.S.
	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)