551 citations · 2.1k across the 69 of their papers we have counts for
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Ranking Distance Calibration for Cross-Domain Few-Shot Learning
Pan Li, Shaogang Gong, Chengjie Wang +1
Recent progress in few-shot learning promotes a more realistic cross-domain setting, where the source and target datasets are from different domains. Due to the domain gap and disj…
Local-Global Associative Frame Assemble in Video Re-ID
Qilei Li, Jiabo Huang, Shaogang Gong
Noisy and unrepresentative frames in automatically generated object bounding boxes from video sequences cause significant challenges in learning discriminative representations in v…
Decentralised Person Re-Identification with Selective Knowledge Aggregation
Shitong Sun, Guile Wu, Shaogang Gong
Existing person re-identification (Re-ID) methods mostly follow a centralised learning paradigm which shares all training data to a collection for model learning. This paradigm is…
Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation
Jiabo Huang, Yang Liu, Shaogang Gong +1
Video activity localisation has recently attained increasing attention due to its practical values in automatically localising the most salient visual segments corresponding to the…
Deep Clustering by Semantic Contrastive Learning
Jiabo Huang, Shaogang Gong
Whilst contrastive learning has recently brought notable benefits to deep clustering of unlabelled images by learning sample-specific discriminative visual features, its potential…
Unsupervised Noisy Tracklet Person Re-identification
Minxian Li, Xiatian Zhu, Shaogang Gong
Existing person re-identification (re-id) methods mostly rely on supervised model learning from a large set of person identity labelled training data per domain. This limits their…