activity
20162022
most citedRandom Erasing Data Augmentation

748 citations · 856 across the 9 of their papers we have counts for

collaborators

14 papers

cs.CV20226 cited

Federated and Generalized Person Re-identification through Domain and Feature Hallucinating

Fengxiang Yang, Zhun Zhong, Zhiming Luo +2

In this paper, we study the problem of federated domain generalization (FedDG) for person re-identification (re-ID), which aims to learn a generalized model with multiple decentral…

cs.CV20223 cited

Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-Identification

Yongguo Ling, Zhun Zhong, Donglin Cao +4

Visible thermal person re-identification (VT-ReID) suffers from the inter-modality discrepancy and intra-identity variations. Distribution alignment is a popular solution for VT-Re…

cs.CV202115 cited

Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification

Fengxiang Yang, Zhun Zhong, Zhiming Luo +4

This paper considers the problem of unsupervised person re-identification (re-ID), which aims to learn discriminative models with unlabeled data. One popular method is to obtain ps…

cs.CV20216 cited

SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification

Haojie Liu, Shun Ma, Daoxun Xia +1

Visible-Infrared person re-identification (VI-ReID) is a challenging matching problem due to large modality varitions between visible and infrared images. Existing approaches usual…

cs.NE20214 cited

An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization

Dejun Xu, Min Jiang, Weizhen Hu +3

Real-world multiobjective optimization problems usually involve conflicting objectives that change over time, which requires the optimization algorithms to quickly track the Pareto…

cs.CV2020

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification

Yuyang Zhao, Zhun Zhong, Fengxiang Yang +4

Recent advances in person re-identification (ReID) obtain impressive accuracy in the supervised and unsupervised learning settings. However, most of the existing methods need to tr…