activity
20192023
most citedAttribute-guided Feature Learning Network for Vehicle Re-identification

9 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

Graph-Collaborated Auto-Encoder Hashing for Multi-view Binary Clustering

Huibing Wang, Mingze Yao, Guangqi Jiang +2

Unsupervised hashing methods have attracted widespread attention with the explosive growth of large-scale data, which can greatly reduce storage and computation by learning compact…

cs.CV2020★ 4 cited

Discriminative Feature and Dictionary Learning with Part-aware Model for Vehicle Re-identification

Huibing Wang, Jinjia Peng, Guangqi Jiang +2

With the development of smart cities, urban surveillance video analysis will play a further significant role in intelligent transportation systems. Identifying the same target vehi…

cs.CV2020★ 9 cited

Attribute-guided Feature Learning Network for Vehicle Re-identification

Huibing Wang, Jinjia Peng, Dongyan Chen +3

Vehicle re-identification (reID) plays an important role in the automatic analysis of the increasing urban surveillance videos, which has become a hot topic in recent years. Howeve…

cs.CV2019★ 4 cited

Eliminating cross-camera bias for vehicle re-identification

Jinjia Peng, Guangqi Jiang, Dongyan Chen +3

Vehicle re-identification (reID) often requires recognize a target vehicle in large datasets captured from multi-cameras. It plays an important role in the automatic analysis of th…

cs.CV2019

Graph-based Multi-view Binary Learning for Image Clustering

Guangqi Jiang, Huibing Wang, Jinjia Peng +2

Hashing techniques, also known as binary code learning, have recently gained increasing attention in large-scale data analysis and storage. Generally, most existing hash clustering…