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Yun Cao

4 papers hereh-index 91.1k 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.CV3
  • eess.IV1
same name
  • Yun Cao — 5 papers, h 10
  • Yun Cao — 5 papers, h 3
  • Yun Cao — 4 papers, h 2
  • Yun Cao — 4 papers, h 1
  • Yun Cao — 3 papers, h 16
  • Yun Cao — 3 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

activity
20172022
most citedNTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

23 citations · 52 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 9 cited

SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer

Haoran Zhou, Yun Cao, Wenqing Chu +4

Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of…

cs.CV2020

Frequency Consistent Adaptation for Real World Super Resolution

Xiaozhong Ji, Guangpin Tao, Yun Cao +5

Recent deep-learning based Super-Resolution (SR) methods have achieved remarkable performance on images with known degradation. However, these methods always fail in real-world sce…

eess.IV2020★ 23 cited

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

Andreas Lugmayr, Martin Danelljan, Radu Timofte +43

This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…

cs.CV2017★ 20 cited

Unsupervised Diverse Colorization via Generative Adversarial Networks

Yun Cao, Zhiming Zhou, Weinan Zhang +1

Colorization of grayscale images has been a hot topic in computer vision. Previous research mainly focuses on producing a colored image to match the original one. However, since ma…

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