Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Wai Lim Kim

Wai Lim Kim

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
0
Benchmarked
0

Publications per year

1
26

Top categories

Vision×1ML×1

Frequent co-authors

Yogesh Bhattarai1×
Vijay Chaudhary1×
Sanjib Sharma1×

Research Timeline

2026
Deep Learning for Remote Sensing to Improve Flood Inundation Mapping

This paper introduces a novel cloud-removal framework using Denoising Diffusion Probabilistic Models and a Masked Diffusion Transformer to generate cloud-free multispectral flood imagery, significantly improving the reliability of flood inundation mapping.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.LGRecentJun 1, 2026

Deep Learning for Remote Sensing to Improve Flood Inundation Mapping

Yogesh Bhattarai, Vijay Chaudhary, Wai Lim Kim, Sanjib Sharma

This paper introduces a novel cloud-removal framework using Denoising Diffusion Probabilistic Models and a Masked Diffusion Transformer to generate cloud-free multispectral flood imagery, significantl…

View →