Skip to main navigation
Skip to search
Skip to main content
EdUHK Research Repository Home
About the Repository
Home
Researchers
Research Units
Projects
Research Outputs
Prizes and Awards
KT Activities
Search by expertise, name or affiliation
Semi-MoreGAN: Semi-supervised generative adversarial network for mixture of rain removal
Yiyang SHEN
, Yongzhen WANG
, Mingqiang WEI
, Honghua CHEN
, Haoran XIE
,
Kwok Shing CHENG
, Fu Lee WANG
Department of Mathematics and Information Technology (MIT)
Research output
:
Contribution to journal
›
Articles
›
peer-review
4
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Semi-MoreGAN: Semi-supervised generative adversarial network for mixture of rain removal'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Generative Adversarial Networks
100%
Rain Removal
100%
Semi-supervised Generative Adversarial Network
100%
Rain
28%
Learning Paradigm
14%
Image Features
14%
Single Model
14%
Separation Model
14%
Depth Information
14%
Source Code
14%
Rainfall Depth
14%
Haze
14%
Image Details
14%
Haze Removal
14%
Rain Streaks
14%
Rain Streak Removal
14%
Rainy Image
14%
Joint Learning
14%
Scene Depth
14%
Depth Estimation
14%
Computer Science
Generative Adversarial Networks
100%
Semi-Supervised Generative Adversarial Network
100%
Source Codes
33%
Depth Information
33%
image feature
33%
Depth Estimation
33%