activity
20162023
most citedA Multi-task Deep Network for Person Re-identification

12 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20232 cited

Region Generation and Assessment Network for Occluded Person Re-Identification

Shuting He, Weihua Chen, Kai Wang +4

Person Re-identification (ReID) plays a more and more crucial role in recent years with a wide range of applications. Existing ReID methods are suffering from the challenges of mis…

cs.CV20234 cited

Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

Weihua Chen, Xianzhe Xu, Jian Jia +5

Human-centric visual tasks have attracted increasing research attention due to their widespread applications. In this paper, we aim to learn a general human representation from mas…

cs.CV20221 cited

Dynamic Gradient Reactivation for Backward Compatible Person Re-identification

Xiao Pan, Hao Luo, Weihua Chen +6

We study the backward compatible problem for person re-identification (Re-ID), which aims to constrain the features of an updated new model to be comparable with the existing featu…

cs.CV2021

TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification

Kai Chen, Weihua Chen, Tao He +5

Nowadays, real data in person re-identification (ReID) task is facing privacy issues, e.g., the banned dataset DukeMTMC-ReID. Thus it becomes much harder to collect real data for R…

cs.CV201612 cited

A Multi-task Deep Network for Person Re-identification

Weihua Chen, Xiaotang Chen, Jianguo Zhang +1

Person re-identification (ReID) focuses on identifying people across different scenes in video surveillance, which is usually formulated as a binary classification task or a rankin…