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PreviewIssue DateTitleAuthor(s)
2020Self-trained deep ordinal regression for end-to-end video anomaly detectionPang, G.; Yan, C.; Shen, C.; van den Hengel, A.; Bai, X.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (14 Jun 2020 - 19 Jun 2020 : Virtual online)
2019Unsupervised domain adaptation using robust class-wise matchingZhang, L.; Wang, P.; Wei, W.; Lu, H.; Shen, C.; van den Hengel, A.; Zhang, Y.
2018Parallel attention: a unified framework for visual object discovery through dialogs and queriesZhuang, B.; Wu, Q.; Shen, C.; Reid, I.; van den Hengel, A.; IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2018 - 23 Jun 2018 : Salt Lake City, UT)
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.
2020Accurate tensor completion via adaptive low-rank representationZhang, L.; Wei, W.; Shi, Q.; Shen, C.; van den Hengel, A.; Zhang, Y.
2017Sequential person recognition in photo albums with a recurrent networkLi, Y.; Lin, G.; Zhuang, B.; Liu, L.; Shen, C.; van den Hengel, A.; 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (21 Jul 2017 - 26 Jul 2017 : Honolulu, Hawaii)
2018Goal-oriented visual question generation via intermediate rewardsZhang, J.; Wu, Q.; Shen, C.; Zhang, J.; Lu, J.; 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)
2017The VQA-machine: learning how to use existing vision algorithms to answer new questionsWang, P.; Wu, Q.; Shen, C.; van den Hengel, A.; 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (21 Jul 2017 - 26 Jul 2017 : Honolulu)
2017Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognitionQiao, R.; Liu, L.; Shen, C.; van den Hengel, A.
2017Structured learning of metric ensembles with application to person re-identificationPaisitkriangkrai, S.; Wu, L.; Shen, C.; van den Hengel, A.

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