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Ran Ran

4 papers hereh-index 10624 citations16 works total

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
  • Ran Ran — 6 papers, h 8
  • Ran Ran — 4 papers, h 4
  • Ran Ran — 1 paper
  • Ran Ran — 1 paper
  • Ran Ran — 1 paper, h 1
  • Ran Ran — 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

most citedDDRF: Denoising Diffusion Model for Remote Sensing Image Fusion

14 citations · 17 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion

ShangQi Deng, RuoCheng Wu, Liang-Jian Deng +2

Multispectral and Hyperspectral Image Fusion (MHIF) is a practical task that aims to fuse a high-resolution multispectral image (HR-MSI) and a low-resolution hyperspectral image (L…

cs.CV2023★ 2 cited

Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation

Zhenxi Zhang, Ran Ran, Chunna Tian +4

Semi-supervised medical image segmentation offers a promising solution for large-scale medical image analysis by significantly reducing the annotation burden while achieving compar…

cs.CV2023★ 1 cited

Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation

Zhenxi Zhang, Ran Ran, Chunna Tian +4

Consistency learning plays a crucial role in semi-supervised medical image segmentation as it enables the effective utilization of limited annotated data while leveraging the abund…

cs.CV2023★ 14 cited

DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion

ZiHan Cao, ShiQi Cao, Xiao Wu +3

Denosing diffusion model, as a generative model, has received a lot of attention in the field of image generation recently, thanks to its powerful generation capability. However, d…

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