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20152023
most citedBeyond triplet loss: a deep quadruplet network for person re-identification

114 citations · 206 across the 12 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 21 cited

Exploring the Quality of GAN Generated Images for Person Re-Identification

Yiqi Jiang, Weihua Chen, Xiuyu Sun +3

Recently, GAN based method has demonstrated strong effectiveness in generating augmentation data for person re-identification (ReID), on account of its ability to bridge the gap be…

cs.CV2021★ 4 cited

Towards Discriminative Representation Learning for Unsupervised Person Re-identification

Takashi Isobe, Dong Li, Lu Tian +3

In this work, we address the problem of unsupervised domain adaptation for person re-ID where annotations are available for the source domain but not for target. Previous methods t…

cs.CV2021★ 1 cited

Graph Convolution for Re-ranking in Person Re-identification

Yuqi Zhang, Qian Qi, Chong Liu +4

Nowadays, deep learning is widely applied to extract features for similarity computation in person re-identification (re-ID) and have achieved great success. However, due to the no…

cs.CV2021★ 1 cited

An Empirical Study of Vehicle Re-Identification on the AI City Challenge

Hao Luo, Weihua Chen, Xianzhe Xu +7

This paper introduces our solution for the Track2 in AI City Challenge 2021 (AICITY21). The Track2 is a vehicle re-identification (ReID) task with both the real-world data and synt…

cs.CV2021★ 2 cited

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones

Chong Liu, Yuqi Zhang, Hao Luo +6

Multi-Target Multi-Camera Tracking has a wide range of applications and is the basis for many advanced inferences and predictions. This paper describes our solution to the Track 3…