no code implementations • 7 Jul 2023 • Yinghan Guan, Haoran Dai, Zekuan Yu, Shouyu Wang, Yuanjie Gu
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 processing is costly.
1 code implementation • 6 Dec 2021 • Yuanjie Gu, Zhibo Xiao, Yinghan Guan, Haoran Dai, Cheng Liu, Liang Xue, Shouyu Wang
In this study, we show that, the structures of generative networks capture a great deal of image feature priors, and then these priors are sufficient to reconstruct high-quality fused super-resolution result using only low-resolution inputs.
1 code implementation • 12 Oct 2021 • Yuanjie Gu, Yinghan Guan, Zhibo Xiao, Haoran Dai, Cheng Liu, Shouyu Wang
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 mapping of targets.
no code implementations • 12 May 2019 • Shouyu Wang, Weitao Tang
object detection framework plays crucial role in autonomous driving.