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20182025
most citedAttribute-guided Feature Learning Network for Vehicle Re-identification

9 citations · 37 across the 17 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 3 cited

Unsupervised Vehicle Re-identification with Progressive Adaptation

Jinjia Peng, Yang Wang, Huibing Wang +3

Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal…

eess.IV2020★ 9 cited

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

Kai Zhang, Shuhang Gu, Radu Timofte +60

This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…

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★ 1 cited

Purifying Real Images with an Attention-guided Style Transfer Network for Gaze Estimation

Yuxiao Yan, Yang Yan, Jinjia Peng +2

Recently, the progress of learning-by-synthesis has proposed a training model for synthetic images, which can effectively reduce the cost of human and material resources. However,…

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…