activity
20192022
most citedVehicle Re-identification with Viewpoint-aware Metric Learning

15 citations · 29 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV20221 cited

Task-Specific Data Augmentation and Inference Processing for VIPriors Instance Segmentation Challenge

Bo Yan, Xingran Zhao, Yadong Li +1

Instance segmentation is applied widely in image editing, image analysis and autonomous driving, etc. However, insufficient data is a common problem in practical applications. The…

cs.CV2022

Strong Instance Segmentation Pipeline for MMSports Challenge

Bo Yan, Fengliang Qi, Zhuang Li +2

The goal of ACM MMSports2022 DeepSportRadar Instance Segmentation Challenge is to tackle the segmentation of individual humans including players, coaches and referees on a basketba…

cs.CV20221 cited

Style Variable and Irrelevant Learning for Generalizable Person Re-identification

Haobo Chen, Chuyang Zhao, Kai Tu +3

Recently, due to the poor performance of supervised person re-identification (ReID) to an unseen domain, Domain Generalization (DG) person ReID has attracted a lot of attention whi…

cs.CV2021

Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras

Junru Chen, Shiqing Geng, Yongluan Yan +3

Vehicle Re-identification aims to identify a specific vehicle across time and camera view. With the rapid growth of intelligent transportation systems and smart cities, vehicle Re-…

cs.CV20201 cited

Attribute-guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-identification

Chaoran Zhuge, Yujie Peng, Yadong Li +2

Vehicle re-identification is one of the core technologies of intelligent transportation systems and smart cities, but large intra-class diversity and inter-class similarity poses g…

cs.CV202011 cited

Parsing-based View-aware Embedding Network for Vehicle Re-Identification

Dechao Meng, Liang Li, Xuejing Liu +6

Vehicle Re-Identification is to find images of the same vehicle from various views in the cross-camera scenario. The main challenges of this task are the large intra-instance dista…