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20182021
most citedGraph Correspondence Transfer for Person Re-identification

9 citations · 18 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.CV2021

Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification

Zhigang Chang, Zhao Yang, Yongbiao Chen +2

ideo-based person re-identification (Re-ID) aims to match person images in video sequences captured by disjoint surveillance cameras. Traditional video-based person Re-ID methods f…

cs.CV2021★ 1 cited

Subtask-dominated Transfer Learning for Long-tail Person Search

Chuang Liu, Hua Yang, Qin Zhou +1

Person search unifies person detection and person re-identification (Re-ID) to locate query persons from the panoramic gallery images. One major challenge comes from the imbalanced…

cs.CV2021

Making Person Search Enjoy the Merits of Person Re-identification

Chuang Liu, Hua Yang, Qin Zhou +1

Person search is an extended task of person re-identification (Re-ID). However, most existing one-step person search works have not studied how to employ existing advanced Re-ID mo…

cs.CV2019★ 1 cited

Distribution Context Aware Loss for Person Re-identification

Zhigang Chang, Qin Zhou, Mingyang Yu +3

To learn the optimal similarity function between probe and gallery images in Person re-identification, effective deep metric learning methods have been extensively explored to obta…

cs.CV2018★ 1 cited

Robust and Efficient Graph Correspondence Transfer for Person Re-identification

Qin Zhou, Heng Fan, Hua Yang +4

Spatial misalignment caused by variations in poses and viewpoints is one of the most critical issues that hinders the performance improvement in existing person re-identification (…

cs.CV2018★ 9 cited

Graph Correspondence Transfer for Person Re-identification

Qin Zhou, Heng Fan, Shibao Zheng +4

In this paper, we propose a graph correspondence transfer (GCT) approach for person re-identification. Unlike existing methods, the GCT model formulates person re-identification as…

cs.CV2018★ 6 cited

Weighted Bilinear Coding over Salient Body Parts for Person Re-identification

Zhigang Chang, Qin Zhou, Heng Fan +4

Deep convolutional neural networks (CNNs) have demonstrated dominant performance in person re-identification (Re-ID). Existing CNN based methods utilize global average pooling (GAP…