Helpful Brief: Authors: Dongkai Wang, Shiliang Zhang Description: The challenge of unsupervised person Authors: Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao Description: In this work, we present our solution to the ...

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Authors: Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao Description: In this work, we present our solution to the ... Authors: Dongkai Wang, Shiliang Zhang Description: The challenge of unsupervised person

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  • Authors: Dongkai Wang, Shiliang Zhang Description: The challenge of unsupervised person
  • Authors: Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao Description: In this work, we present our solution to the ...

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Reference Image Set

Multi-Label-Based Similarity Learning for Vehicle Re-Identification
Vehicle Re-Identification Based on Complementary Features
[CVPR 2019] AI City Challenge (Track 2): Vehicle Re-Identification Demo
AI City Challenge 2019 - Vehicle Re-Identification
Unsupervised Person Re-Identification via Multi-Label Classification
Demo of vehicle re-identification at the 2nd AI City Challenge Workshop in CVPR 2018
Real-time bimodal vehicle codification and re-identification with multi-neural network - Demo 3
WACV18: Vehicle Re-identification by Adversarial Bi-directional LSTM Network
Object Tracking and Reidentification with FairMOT
Vehicle Classification in multilane  Video Analytic by SPARSH
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Read Full Context
Multi-Label-Based Similarity Learning for Vehicle Re-Identification

Multi-Label-Based Similarity Learning for Vehicle Re-Identification

Read more details and related context about Multi-Label-Based Similarity Learning for Vehicle Re-Identification.

Vehicle Re-Identification Based on Complementary Features

Vehicle Re-Identification Based on Complementary Features

Authors: Cunyuan Gao, Yi Hu, Yi Zhang, Rui Yao, Yong Zhou, Jiaqi Zhao Description: In this work, we present our solution to the ...

[CVPR 2019] AI City Challenge (Track 2): Vehicle Re-Identification Demo

[CVPR 2019] AI City Challenge (Track 2): Vehicle Re-Identification Demo

Read more details and related context about [CVPR 2019] AI City Challenge (Track 2): Vehicle Re-Identification Demo.

AI City Challenge 2019 - Vehicle Re-Identification

AI City Challenge 2019 - Vehicle Re-Identification

Read more details and related context about AI City Challenge 2019 - Vehicle Re-Identification.

Unsupervised Person Re-Identification via Multi-Label Classification

Unsupervised Person Re-Identification via Multi-Label Classification

Authors: Dongkai Wang, Shiliang Zhang Description: The challenge of unsupervised person

Demo of vehicle re-identification at the 2nd AI City Challenge Workshop in CVPR 2018

Demo of vehicle re-identification at the 2nd AI City Challenge Workshop in CVPR 2018

Our team from the University of Washington is the winner of Track 3 (

Real-time bimodal vehicle codification and re-identification with multi-neural network - Demo 3

Real-time bimodal vehicle codification and re-identification with multi-neural network - Demo 3

Read more details and related context about Real-time bimodal vehicle codification and re-identification with multi-neural network - Demo 3.

WACV18: Vehicle Re-identification by Adversarial Bi-directional LSTM Network

WACV18: Vehicle Re-identification by Adversarial Bi-directional LSTM Network

Read more details and related context about WACV18: Vehicle Re-identification by Adversarial Bi-directional LSTM Network.

Object Tracking and Reidentification with FairMOT

Object Tracking and Reidentification with FairMOT

Read more details and related context about Object Tracking and Reidentification with FairMOT.

Vehicle Classification in multilane  Video Analytic by SPARSH

Vehicle Classification in multilane Video Analytic by SPARSH

Vehicle Classification in multilane Video Analytic by SPARSH