activity
20192022
most citedInteraction-and-Aggregation Network for Person Re-identification

39 citations · 83 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV202212 cited

Clothes-Changing Person Re-identification with RGB Modality Only

Xinqian Gu, Hong Chang, Bingpeng Ma +3

The key to address clothes-changing person re-identification (re-id) is to extract clothes-irrelevant features, e.g., face, hairstyle, body shape, and gait. Most current works main…

cs.CV2022

Basket-based Softmax

Qiang Meng, Xinqian Gu, Xiaqing Xu +1

Softmax-based losses have achieved state-of-the-art performances on various tasks such as face recognition and re-identification. However, these methods highly relied on clean data…

cs.CV2021

Feature Completion for Occluded Person Re-Identification

Ruibing Hou, Bingpeng Ma, Hong Chang +3

Person re-identification (reID) plays an important role in computer vision. However, existing methods suffer from performance degradation in occluded scenes. In this work, we propo…

cs.CV20203 cited

IAUnet: Global Context-Aware Feature Learning for Person Re-Identification

Ruibing Hou, Bingpeng Ma, Hong Chang +3

Person re-identification (reID) by CNNs based networks has achieved favorable performance in recent years. However, most of existing CNNs based methods do not take full advantage o…

cs.CV202012 cited

Appearance-Preserving 3D Convolution for Video-based Person Re-identification

Xinqian Gu, Hong Chang, Bingpeng Ma +2

Due to the imperfect person detection results and posture changes, temporal appearance misalignment is unavoidable in video-based person re-identification (ReID). In this case, 3D…

cs.CV2019

Temporal Knowledge Propagation for Image-to-Video Person Re-identification

Xinqian Gu, Bingpeng Ma, Hong Chang +2

In many scenarios of Person Re-identification (Re-ID), the gallery set consists of lots of surveillance videos and the query is just an image, thus Re-ID has to be conducted betwee…