1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Registration-Free Hybrid Learning Empowers Simple Multimodal Imaging System for High-quality Fusion Detection
Yinghan Guan, Haoran Dai, Zekuan Yu +2
Multimodal fusion detection always places high demands on the imaging system and image pre-processing, while either a high-quality pre-registration system or image registration pro…
cs.CV2021
Physics Driven Deep Retinex Fusion for Adaptive Infrared and Visible Image Fusion
Yuanjie Gu, Zhibo Xiao, Yinghan Guan +4
Convolutional neural networks have turned into an illustrious tool for image fusion and super-resolution. However, their excellent performance cannot work without large fixed-paire…
cs.CV2021★ 1 cited
Deep Fusion Prior for Plenoptic Super-Resolution All-in-Focus Imaging
Yuanjie Gu, Yinghan Guan, Zhibo Xiao +3
Multi-focus image fusion (MFIF) and super-resolution (SR) are the inverse problem of imaging model, purposes of MFIF and SR are obtaining all-in-focus and high-resolution 2D mappin…