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PreviewIssue DateTitleAuthor(s)
2016Learning discriminative Bayesian networks from high-dimensional continuous neuroimaging dataZhou, L.; Wang, L.; Liu, L.; Ogunbona, P.; Shen, D.
2016What value do explicit high level concepts have in vision to language problems?Wu, Q.; Shen, C.; Liu, L.; Dick, A.; Van Den Hengel, A.; 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (26 Jun 2016 - 01 Jul 2016 : Las Vegas, NV)
2016Cross-convolutional-layer pooling for image recognitionLiu, L.; Shen, C.; van den Hengel, A.
2016Image co-localization by mimicking a good detector’s confidence score distributionLi, Y.; Liu, L.; Shen, C.; van den Hengel, A.; 14th European Conference on Computer Vision (ECCV 2016) (11 Oct 2016 - 14 Oct 2016 : Amsterdam, Netherlands)
2016Less is more: zero-shot learning from online textual documents with noise suppressionQiao, R.; Liu, L.; Shen, C.; van den Hengel, A.; 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2016) (26 Jun 2016 - 01 Jul 2016 : Las Vegas, NV)
2016Exploiting temporal information for DCNN-based fine-grained object classificationGe, Z.; McCool, C.; Sanderson, C.; Wang, P.; Liu, L.; Reid, I.; Corke, P.; International Conference on Digital Image Computing: Techniques and Applications (DICTA 2016) (30 Nov 2016 - 02 Dec 2016 : Gold Coast, AUSTRALIA)
2016A generalized probabilistic framework for compact codebook creationLiu, L.; Wang, L.; Shen, C.
2016What's wrong with that object? Identifying images of unusual objects by modelling the detection score distributionWang, P.; Liu, L.; Shen, C.; Huang, Z.; Van Den Hengel, A.; Shen, H.; 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2016) (26 Jun 2016 - 01 Jul 2016 : Las Vegas, NV)