activity
20192024
most citedIllumination-Adaptive Person Re-identification

94 citations · 147 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes

Zelong Zeng, Kaname Tomite

In anomaly segmentation for complex driving scenes, state-of-the-art approaches utilize anomaly scoring functions to calculate anomaly scores. For these functions, accurately predi…

cs.CV2022

Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning

Zelong Zeng, Fan Yang, Hong Liu +1

Recent deep metric learning (DML) methods typically leverage solely class labels to keep positive samples far away from negative ones. However, this type of method normally ignores…

cs.CV2022★ 1 cited

Improving Generalization of Metric Learning via Listwise Self-distillation

Zelong Zeng, Fan Yang, Zheng Wang +1

Most deep metric learning (DML) methods employ a strategy that forces all positive samples to be close in the embedding space while keeping them away from negative ones. However, s…

cs.CV2022★ 52 cited

Geo-Localization via Ground-to-Satellite Cross-View Image Retrieval

Zelong Zeng, Zheng Wang, Fan Yang +1

The large variation of viewpoint and irrelevant content around the target always hinder accurate image retrieval and its subsequent tasks. In this paper, we investigate an extremel…

cs.CV2019★ 94 cited

Illumination-Adaptive Person Re-identification

Zelong Zeng, Zhixiang Wang, Zheng Wang +3

Most person re-identification (ReID) approaches assume that person images are captured under relatively similar illumination conditions. In reality, long-term person retrieval is c…