366 citations · 1.6k across the 47 of their papers we have counts for
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Deep Learning Logo Detection with Data Expansion by Synthesising Context
Hang Su, Xiatian Zhu, Shaogang Gong
Logo detection in unconstrained images is challenging, particularly when only very sparse labelled training images are accessible due to high labelling costs. In this work, we desc…
Human-In-The-Loop Person Re-Identification
Hanxiao Wang, Shaogang Gong, Xiatian Zhu +1
Current person re-identification (re-id) methods assume that (1) pre-labelled training data are available for every camera pair, (2) the gallery size for re-identification is moder…
Person Re-Identification by Unsupervised Video Matching
Xiaolong Ma, Xiatian Zhu, Shaogang Gong +4
Most existing person re-identification (ReID) methods rely only on the spatial appearance information from either one or multiple person images, whilst ignore the space-time cues r…
Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
Qi Dong, Shaogang Gong, Xiatian Zhu
Recognising detailed clothing characteristics (fine-grained attributes) in unconstrained images of people in-the-wild is a challenging task for computer vision, especially when the…
Person Re-Identification by Discriminative Selection in Video Ranking
Taiqing Wang, Shaogang Gong, Xiatian Zhu +1
Current person re-identification (ReID) methods typically rely on single-frame imagery features, whilst ignoring space-time information from image sequences often available in the…