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PreviewIssue DateTitleAuthor(s)
2018A Bayesian data augmentation approach for learning deep modelsTran, T.; Pham, T.; Carneiro, G.; Palmer, L.; Reid, I.; Guyon, I.; Luxburg, U.V.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S.; Garnett, R.; NIPS Foundation Inc (4 Dec 2017 - 9 Dec 2017 : Long Beach, CA)
2021A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphsHu, Y.; Zhang, Z.; Yao, Y.; Huyan, X.; Zhou, X.; Lee, W.S.
2020A Multi-modal Approach to Fine-grained Opinion Mining on Video ReviewsMarrese-Taylor, E.; Rodriguez Opazo, C.; Balazs, J.; Gould, S.; Matsuo, Y.; 58th Annual Meeting of the Association for Computational Linguistics (ACL) (5 Jul 2020 - 10 Jul 2020 : Seattle, USA)
2022A New Higher Order Yang-Mills-Higgs Flow on Riemannian 4-ManifoldsSaratchandran, H.; Zhang, J.; Zhang, P.
2014A relaxation method to articulated trajectory reconstruction from monocular image sequenceLi, B.; Dai, Y.; He, M.; Van Den Hengel, A.; 2nd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2014) (9 Jul 2014 - 13 Jul 2014 : Xi'an, China)
2020ABCNet: Real-time scene text spotting with adaptive Bezier-curve networkLiu, Y.; Chen, H.; Shen, C.; He, T.; Jin, L.; Wang, L.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (14 Jun 2020 - 19 Jun 2020 : virtual online)
2020Accurate tensor completion via adaptive low-rank representationZhang, L.; Wei, W.; Shi, Q.; Shen, C.; van den Hengel, A.; Zhang, Y.
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)
2018Active learning from noisy tagged imagesAbbasnejad, M.E.; Dick, A.R.; Shi, Q.; Hengel, A.V.D.; British Machine Vision Conference 2018 (BMVC 2018) (3 Sep 2018 - 6 Sep 2018 : Newcastle upon Tyne)
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.
2019Actively seeking and learning from live dataTeney, D.; Hengel, A.V.D.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (15 Jun 2019 - 20 Jun 2019 : Long Beach, USA)
2020Adaptive importance learning for improving lightweight image super-resolution networkZhang, L.; Wang, P.; Shen, C.; Liu, L.; Wei, W.; Zhang, Y.; van den Hengel, A.
2019Adaptive neuro-surrogate-based optimisation method for wave energy converters placement optimisationNeshat, M.; Abbasnejad, E.; Shi, Q.; Alexander, B.; Wagner, M.; Gedeon, T.; Wong, K.W.; Lee, M.; 26th International Conference on Neural Information Processing (ICONIP) (12 Dec 2019 - 15 Dec 2019 : Sydney, Australia)
2018AffordanceNet: an end-to-end deep learning approach for object affordance detectionDo, T.; Nguyen, A.; Reid, I.; IEEE International Conference on Robotics and Automation (ICRA) (21 May 2018 - 25 May 2018 : Brisbane, Australia)
2020AIML at VQA-Med 2020: Knowledge inference via a skeleton-based sentence mapping approach for medical domain visual question answeringLiao, Z.; Wu, Q.; Shen, C.; Van Den Hengel, A.; Verjans, J.; Cappellato, L.; Eickhoff, C.; Ferro, N.; Névéol, A.; International Conference of the CLEF Initiative (CLEF) (22 Sep 2020 - 25 Sep 2020 : virtual online)
2018An embarrassingly simple approach to visual domain adaptationLu, H.; Shen, C.; Cao, Z.; Xiao, Y.; Van Den Hengel, A.
2020Approximate Fisher information matrix to characterise the training of deep neural networksLiao, Z.; Drummond, T.; Reid, I.; Carneiro, G.
2020Attention-based network for low-light image enhancementZhang, C.; Yan, Q.; Zhu, Y.; Li, X.; Sun, J.; Zhang, Y.; IEEE International Conference on Multimedia and Expo (ICME) (6 Jul 2020 - 10 Jul 2020 : virtual online)
2018Bayesian semantic instance segmentation in open set worldPham, T.; Vijay Kumar, B.; Do, T.; Carneiro, G.; Reid, I.; Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y.; European Conference on Computer Vision (ECCV) (8 Sep 2018 - 14 Sep 2018 : Munich)
2020Blindly assess image quality in the wild guided by a self-adaptive hyper networkSu, S.; Yan, Q.; Zhu, Y.; Zhang, C.; Ge, X.; Sun, J.; Zhang, Y.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (14 Jun 2020 - 19 Jun 2020 : virtual online)