activity
20152024
most citedTransductive Multi-view Zero-Shot Learning

551 citations · 1.1k across the 36 of their papers we have counts for

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Showing 2021 · cs.CVShow all

6 papers · 2 filters

cs.CV2021★ 4 cited

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…

cs.CV2021

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…

cs.CV2021★ 4 cited

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…

cs.CV2021★ 9 cited

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…

cs.CV2021

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…

cs.CV2021★ 1 cited

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…