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Zhenan Sun

45 papers hereh-index 6617.4k citations307 works total

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

author position
  • middle author18
  • last author26

Across the 44 of 45 papers where every author was matched, so the position is known.

fields
  • cs.CV39
  • cs.LG4
  • eess.IV2
same name
  • Zhenan Sun — 9 papers, h 5
  • Zhenan Sun — 6 papers, h 2
  • Zhenan Sun — 3 papers
  • Zhenan Sun — 3 papers, h 2
  • Zhenan Sun — 2 papers, h 2
  • Zhenan Sun — 1 paper

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
20152023
most citedA Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

262 citations · 488 across the 28 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 16 cited

Geometry Guided Adversarial Facial Expression Synthesis

Lingxiao Song, Zhihe Lu, Ran He +2

Facial expression synthesis has drawn much attention in the field of computer graphics and pattern recognition. It has been widely used in face animation and recognition. However,…

cs.CV2017★ 29 cited

Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition

Ran He, Xiang Wu, Zhenan Sun +1

Heterogeneous face recognition (HFR) aims to match facial images acquired from different sensing modalities with mission-critical applications in forensics, security and commercial…

cs.CV2017★ 12 cited

Recent Progress of Face Image Synthesis

Zhihe Lu, Zhihang Li, Jie Cao +2

Face synthesis has been a fascinating yet challenging problem in computer vision and machine learning. Its main research effort is to design algorithms to generate photo-realistic…

cs.CV2017

Deep Supervised Discrete Hashing

Qi Li, Zhenan Sun, Ran He +1

With the rapid growth of image and video data on the web, hashing has been extensively studied for image or video search in recent years. Benefit from recent advances in deep learn…

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