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Wen Gao

4 papers hereh-index 449k citations115 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Wen Gao — 39 papers, h 69
  • Wen Gao — 13 papers
  • Wen Gao — 3 papers
  • Wen Gao — 2 papers, h 6
  • Wen Gao — 1 paper
  • Wen Gao — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedGLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval

425 citations · 463 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2018

Attention Driven Person Re-identification

Fan Yang, Ke Yan, Shijian Lu +3

Person re-identification (ReID) is a challenging task due to arbitrary human pose variations, background clutters, etc. It has been studied extensively in recent years, but the mul…

cs.CV2018

RAM: A Region-Aware Deep Model for Vehicle Re-Identification

Xiaobin Liu, Shiliang Zhang, Qingming Huang +1

Previous works on vehicle Re-ID mainly focus on extracting global features and learning distance metrics. Because some vehicles commonly share same model and maker, it is hard to d…

cs.CV2017★ 38 cited

Pose-driven Deep Convolutional Model for Person Re-identification

Chi Su, Jianing Li, Shiliang Zhang +3

Feature extraction and matching are two crucial components in person Re-Identification (ReID). The large pose deformations and the complex view variations exhibited by the captured…

cs.CV2017★ 425 cited

GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval

Longhui Wei, Shiliang Zhang, Hantao Yao +2

The huge variance of human pose and the misalignment of detected human images significantly increase the difficulty of person Re-Identification (Re-ID). Moreover, efficient Re-ID s…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.