154 citations · 199 across the 2 of their papers we have counts for
3 papers
cs.CV2017★ 45 cited
Cross-view Asymmetric Metric Learning for Unsupervised Person Re-identification
Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
While metric learning is important for Person re-identification (RE-ID), a significant problem in visual surveillance for cross-view pedestrian matching, existing metric models for…
cs.CV2017★ 154 cited
Robust Depth-based Person Re-identification
Ancong Wu, Wei-Shi Zheng, Jianhuang Lai
Person re-identification (re-id) aims to match people across non-overlapping camera views. So far the RGB-based appearance is widely used in most existing works. However, when peop…
cs.CV2016
Top-push Video-based Person Re-identification
Jinjie You, Ancong Wu, Xiang Li +1
Most existing person re-identification (re-id) models focus on matching still person images across disjoint camera views. Since only limited information can be exploited from still…