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20152021
most citedAlignedReID: Surpassing Human-Level Performance in Person Re-Identification

439 citations · 1.1k across the 32 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 15 cited

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…

cs.CV2019★ 4 cited

Re-ID Driven Localization Refinement for Person Search

Chuchu Han, Jiacheng Ye, Yunshan Zhong +4

Person search aims at localizing and identifying a query person from a gallery of uncropped scene images. Different from person re-identification (re-ID), its performance also depe…

cs.CV2019★ 3 cited

Re-Identification Supervised Texture Generation

Jian Wang, Yunshan Zhong, Yachun Li +2

The estimation of 3D human body pose and shape from a single image has been extensively studied in recent years. However, the texture generation problem has not been fully discusse…

cs.CV2019★ 1 cited

Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification

Yifan Sun, Qin Xu, Yali Li +4

This paper considers a realistic problem in person re-identification (re-ID) task, i.e., partial re-ID. Under partial re-ID scenario, the images may contain a partial observation o…

cs.CV2019★ 9 cited

STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification

Hao Luo, Xing Fan, Chi Zhang +1

Partial person re-identification (ReID) is a challenging task because only partial information of person images is available for matching target persons. Few studies, especially on…