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Showing results 112 to 123 of 123 < previous 
PreviewIssue DateTitleAuthor(s)
2020V-PROM: A benchmark for visual reasoning using visual progressive matricesTeney, D.; Wang, P.; Cao, J.; Liu, L.; Shen, C.; Van Den Hengel, A.; Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) (7 Feb 2020 - 12 Feb 2020 : New York, USA)
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)
2007Video Trace: rapid interactive scene modelling from videoVan Den Hengel, A.; Dick, A.; Thormaehlen, T.; Ward, B.; Torr, P.
2023Visual Place Recognition: A TutorialSchubert, S.; Neubert, P.; Garg, S.; Milford, M.; Fischer, T.
2018Visual Question Answering as a meta learning taskTeney, D.; Van Den Hengel, A.; Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y.; 15th European Conference on Computer Vision (ECCV 2018) (8 Sep 2018 - 14 Sep 2018 : Munich)
2019Visual question answering as reading comprehensionLi, H.; Wang, P.; Shen, C.; Van Den Hengel, A.; IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (15 Jun 2019 - 20 Jun 2019 : Long Beach, USA)
2017Visual Question Answering: a tutorialTeney, D.; Wu, Q.; Van Den Hengel, A.
2021VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance ChangeZaffar, M.; Garg, S.; Milford, M.; Kooij, J.; Flynn, D.; McDonald-Maier, K.; Ehsan, S.
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)
2017When Unsupervised Domain Adaptation Meets Tensor RepresentationsLu, H.; Zhang, L.; Cao, Z.; Wei, W.; Xian, K.; Shen, C.; Hengel, A.; 16th IEEE International Conference on Computer Vision (ICCV 2017) (22 Oct 2017 - 29 Oct 2017 : Venice, Italy)
2021Wind turbine power output prediction using a new hybrid neuro-evolutionary methodNeshat, M.; Nezhad, M.M.; Abbasnejad, E.; Mirjalili, S.; Groppi, D.; Heydari, A.; Tjernberg, L.B.; Astiaso Garcia, D.; Alexander, B.; Shi, Q.; Wagner, M.
2020Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods ComparisonLi, D.; Rodriguez Opazo, C.; Yu, X.; Li, H.; IEEE Winter Conference on Applications of Computer Vision (WACV) (1 Mar 2020 - 5 Mar 2020 : Snowmass Village, CO, USA)