47 citations · 123 across the 5 of their papers we have counts for
5 papers
Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs
Feifan Lv, Bo Liu, Feng Lu
This paper proposes a new light-weight convolutional neural network (5k parameters) for non-uniform illumination image enhancement to handle color, exposure, contrast, noise and ar…
An Integrated Enhancement Solution for 24-hour Colorful Imaging
Feifan Lv, Yinqiang Zheng, Yicheng Li +1
The current industry practice for 24-hour outdoor imaging is to use a silicon camera supplemented with near-infrared (NIR) illumination. This will result in color images with poor…
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Haiyang Si, Zhiqiang Zhang, Feifan Lv +2
Real-time semantic segmentation plays a significant role in industry applications, such as autonomous driving, robotics and so on. It is a challenging task as both efficiency and p…
Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset
Feifan Lv, Yu Li, Feng Lu
Low-light image enhancement is challenging in that it needs to consider not only brightness recovery but also complex issues like color distortion and noise, which usually hide in…
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Yuhao Niu, Lin Gu, Feng Lu +7
Though deep learning has shown successful performance in classifying the label and severity stage of certain disease, most of them give few evidence on how to make prediction. Here…