15 citations · 31 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
Symmetric Network with Spatial Relationship Modeling for Natural Language-based Vehicle Retrieval
Chuyang Zhao, Haobo Chen, Wenyuan Zhang +4
Natural language (NL) based vehicle retrieval aims to search specific vehicle given text description. Different from the image-based vehicle retrieval, NL-based vehicle retrieval r…
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-…
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…
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…
Vehicle Re-identification with Viewpoint-aware Metric Learning
Ruihang Chu, Yifan Sun, Yadong Li +3
This paper considers vehicle re-identification (re-ID) problem. The extreme viewpoint variation (up to 180 degrees) poses great challenges for existing approaches. Inspired by the…