◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Chenyu Li

4 papers hereh-index 8666 citations12 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV4
same name
  • Chenyu Li — 16 papers, h 17
  • Chenyu Li — 5 papers, h 1
  • Chenyu Li — 3 papers, h 2
  • Chenyu Li — 3 papers, h 2
  • Chenyu Li — 3 papers, h 3
  • Chenyu Li — 2 papers, h 6

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 citedLow-resolution Face Recognition in the Wild via Selective Knowledge Distillation

218 citations · 224 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 1 cited

Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation

Chenyu Li, Shiming Ge, Daichi Zhang +1

Many real-world applications today like video surveillance and urban governance need to address the recognition of masked faces, where content replacement by diverse masks often br…

cs.CV2024

Efficient Low-Resolution Face Recognition via Bridge Distillation

Shiming Ge, Shengwei Zhao, Chenyu Li +2

Face recognition in the wild is now advancing towards light-weight models, fast inference speed and resolution-adapted capability. In this paper, we propose a bridge distillation a…

cs.CV2024★ 5 cited

Masked Face Recognition with Generative-to-Discriminative Representations

Shiming Ge, Weijia Guo, Chenyu Li +3

Masked face recognition is important for social good but challenged by diverse occlusions that cause insufficient or inaccurate representations. In this work, we propose a unified…

cs.CV2018★ 218 cited

Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation

Shiming Ge, Shengwei Zhao, Chenyu Li +1

Typically, the deployment of face recognition models in the wild needs to identify low-resolution faces with extremely low computational cost. To address this problem, a feasible s…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.