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Lingfeng Zhang

4 papers hereh-index 6106 citations12 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CV4
same name
  • Lingfeng Zhang — 18 papers, h 5
  • Lingfeng Zhang — 13 papers, h 8
  • Lingfeng Zhang — 11 papers, h 6
  • Lingfeng Zhang — 2 papers, h 2
  • Lingfeng Zhang — 2 papers, h 1
  • Lingfeng Zhang — 2 papers, h 3

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 citedFully Associative Patch-based 1-to-N Matcher for Face Recognition

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2018★ 2 cited

Fully Associative Patch-based 1-to-N Matcher for Face Recognition

Lingfeng Zhang, Ioannis A. Kakadiaris

This paper focuses on improving face recognition performance by a patch-based 1-to-N signature matcher that learns correlations between different facial patches. A Fully Associativ…

cs.CV2018

A Hierarchical Matcher using Local Classifier Chains

Lingfeng Zhang, Ioannis A. Kakadiaris

This paper focuses on improving the performance of current convolutional neural networks in visual recognition without changing the network architecture. A hierarchical matcher is…

cs.CV2018

A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes

Lingfeng Zhang, Pengfei Dou, Ioannis A. Kakadiaris

This paper focuses on improving face recognition performance with a new signature combining implicit facial features with explicit soft facial attributes. This signature has two co…

cs.CV2015★ 1 cited

Unsupervised Cross-Domain Recognition by Identifying Compact Joint Subspaces

Yuewei Lin, Jing Chen, Yu Cao +4

This paper introduces a new method to solve the cross-domain recognition problem. Different from the traditional domain adaption methods which rely on a global domain shift for all…

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