551 citations · 2.1k across the 69 of their papers we have counts for
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Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces
Shitong Sun, Chenyang Si, Guile Wu +1
Conventional centralised deep learning paradigms are not feasible when data from different sources cannot be shared due to data privacy or transmission limitation. To resolve this…
Video Activity Localisation with Uncertainties in Temporal Boundary
Jiabo Huang, Hailin Jin, Shaogang Gong +1
Current methods for video activity localisation over time assume implicitly that activity temporal boundaries labelled for model training are determined and precise. However, in un…
Rapid Person Re-Identification via Sub-space Consistency Regularization
Qingze Yin, Guanan Wang, Guodong Ding +3
Person Re-Identification (ReID) matches pedestrians across disjoint cameras. Existing ReID methods adopting real-value feature descriptors have achieved high accuracy, but they are…
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
Jian Hu, Haowen Zhong, Junchi Yan +3
Domain adaptation (DA) aims to transfer knowledge learned from a labeled source domain to an unlabeled or a less labeled but related target domain. Ideally, the source and target d…
Feature-Distribution Perturbation and Calibration for Generalized Person ReID
Qilei Li, Jiabo Huang, Jian Hu +1
Person Re-identification (ReID) has been advanced remarkably over the last 10 years along with the rapid development of deep learning for visual recognition. However, the i.i.d. (i…
A Framework of Meta Functional Learning for Regularising Knowledge Transfer
Pan Li, Yanwei Fu, Shaogang Gong
Machine learning classifiers' capability is largely dependent on the scale of available training data and limited by the model overfitting in data-scarce learning tasks. To address…