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20162022
most citedEnd-to-End Comparative Attention Networks for Person Re-identification

484 citations · 527 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

Self-Supervised Light Field Depth Estimation Using Epipolar Plane Images

Kunyuan Li, Jun Zhang, Jun Gao +1

Exploiting light field data makes it possible to obtain dense and accurate depth map. However, synthetic scenes with limited disparity range cannot contain the diversity of real sc…

cs.CV2018★ 11 cited

Sequence-based Person Attribute Recognition with Joint CTC-Attention Model

Hao Liu, Jingjing Wu, Jianguo Jiang +2

Attribute recognition has become crucial because of its wide applications in many computer vision tasks, such as person re-identification. Like many object recognition problems, va…

cs.CV2017★ 19 cited

Neural Person Search Machines

Hao Liu, Jiashi Feng, Zequn Jie +5

We investigate the problem of person search in the wild in this work. Instead of comparing the query against all candidate regions generated in a query-blind manner, we propose to…

cs.CV2017★ 13 cited

Video-based Person Re-identification with Accumulative Motion Context

Hao Liu, Zequn Jie, Karlekar Jayashree +4

Video based person re-identification plays a central role in realistic security and video surveillance. In this paper we propose a novel Accumulative Motion Context (AMOC) network…

cs.CV2016★ 484 cited

End-to-End Comparative Attention Networks for Person Re-identification

Hao Liu, Jiashi Feng, Meibin Qi +2

Person re-identification across disjoint camera views has been widely applied in video surveillance yet it is still a challenging problem. One of the major challenges lies in the l…