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Jie Zhang

4 papers here

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

author position
  • middle author4

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

fields
  • cs.CV4
same name
  • Jie Zhang — 29 papers
  • Jie Zhang — 18 papers
  • Jie Zhang — 14 papers, h 22
  • Jie Zhang — 14 papers, h 30
  • Jie Zhang — 13 papers
  • Jie Zhang — 12 papers, h 14

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 citedSelf-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

57 citations · 80 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 1 cited

Attributes Aware Face Generation with Generative Adversarial Networks

Zheng Yuan, Jie Zhang, Shiguang Shan +1

Recent studies have shown remarkable success in face image generations. However, most of the existing methods only generate face images from random noise, and cannot generate face…

cs.CV2020★ 22 cited

Single-Side Domain Generalization for Face Anti-Spoofing

Yunpei Jia, Jie Zhang, Shiguang Shan +1

Existing domain generalization methods for face anti-spoofing endeavor to extract common differentiation features to improve the generalization. However, due to large distribution…

cs.CV2020★ 57 cited

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Yude Wang, Jie Zhang, Meina Kan +2

Image-level weakly supervised semantic segmentation is a challenging problem that has been deeply studied in recent years. Most of advanced solutions exploit class activation map (…

cs.CV2019

Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation

Yude Wang, Jie Zhang, Meina Kan +2

Weakly supervised semantic segmentation has attracted much research interest in recent years considering its advantage of low labeling cost. Most of the advanced algorithms follow…

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