551 citations · 2.1k across the 69 of their papers we have counts for
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Transfer Learning for Protein Structure Classification at Low Resolution
Alexander Hudson, Shaogang Gong
Structure determination is key to understanding protein function at a molecular level. Whilst significant advances have been made in predicting structure and function from amino ac…
Faster Person Re-Identification
Guan'an Wang, Shaogang Gong, Jian Cheng +1
Fast person re-identification (ReID) aims to search person images quickly and accurately. The main idea of recent fast ReID methods is the hashing algorithm, which learns compact b…
Unsupervised Transfer Learning with Self-Supervised Remedy
Jiabo Huang, Shaogang Gong
Generalising deep networks to novel domains without manual labels is challenging to deep learning. This problem is intrinsically difficult due to unpredictable changing nature of i…
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification
Guile Wu, Shaogang Gong
Deep learning has been successful for many computer vision tasks due to the availability of shared and centralised large-scale training data. However, increasing awareness of priva…
Peer Collaborative Learning for Online Knowledge Distillation
Guile Wu, Shaogang Gong
Traditional knowledge distillation uses a two-stage training strategy to transfer knowledge from a high-capacity teacher model to a compact student model, which relies heavily on t…
Intra-Camera Supervised Person Re-Identification
Xiangping Zhu, Xiatian Zhu, Minxian Li +3
Existing person re-identification (re-id) methods mostly exploit a large set of cross-camera identity labelled training data. This requires a tedious data collection and annotation…