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Chenxu Zhao

18 papers hereh-index 141.3k citations21 works total

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

author position
  • middle author18

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV17
  • cs.CL1
same name
  • Chenxu Zhao — 14 papers, h 3
  • Chenxu Zhao — 12 papers, h 7
  • Chenxu Zhao — 11 papers, h 16
  • Chenxu Zhao — 1 paper, h 10
  • Chenxu Zhao — 1 paper, h 2

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

activity
20182026
most citedLearning Meta Model for Zero- and Few-shot Face Anti-spoofing

102 citations · 231 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CV2020★ 10 cited

Layer-Wise Adaptive Updating for Few-Shot Image Classification

Yunxiao Qin, Weiguo Zhang, Zezheng Wang +2

Few-shot image classification (FSIC), which requires a model to recognize new categories via learning from few images of these categories, has attracted lots of attention. Recently…

cs.CV2020★ 10 cited

Multi-Modal Face Anti-Spoofing Based on Central Difference Networks

Zitong Yu, Yunxiao Qin, Xiaobai Li +4

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from presentation attacks. Existing multi-modal FAS methods rely on stacked vanilla convolutions, w…

cs.CV2020★ 6 cited

Learning Meta Face Recognition in Unseen Domains

Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao +3

Face recognition systems are usually faced with unseen domains in real-world applications and show unsatisfactory performance due to their poor generalization. For example, a well-…

cs.CV2020★ 21 cited

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

Zezheng Wang, Zitong Yu, Chenxu Zhao +5

Face anti-spoofing is critical to the security of face recognition systems. Depth supervised learning has been proven as one of the most effective methods for face anti-spoofing. D…

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