3 papers
cs.CV2018
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
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
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…