36 citations · 106 across the 8 of their papers we have counts for
5 papers · 1 filter
Reinforced Diffusion: Learning to Push the Limits of Anisotropic Diffusion for Image Denoising
Xinran Qin, Yuhui Quan, Ruotao Xu +1
Image denoising is an important problem in low-level vision and serves as a critical module for many image recovery tasks. Anisotropic diffusion is a wide family of image denoising…
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
Yuhui Quan, Zicong Wu, Hui Ji
Defocus blur is one kind of blur effects often seen in images, which is challenging to remove due to its spatially variant amount. This paper presents an end-to-end deep learning a…
Recurrent Exposure Generation for Low-Light Face Detection
Jinxiu Liang, Jingwen Wang, Yuhui Quan +4
Face detection from low-light images is challenging due to limited photos and inevitable noise, which, to make the task even harder, are often spatially unevenly distributed. A nat…
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan, Wenhan Yang, Wenqi Ren +3
The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…
Image Cartoon-Texture Decomposition Using Isotropic Patch Recurrence
Ruotao Xu, Yuhui Quan, Yong Xu
Aiming at separating the cartoon and texture layers from an image, cartoon-texture decomposition approaches resort to image priors to model cartoon and texture respectively. In rec…