no code implementations • 31 May 2020 • 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 artifacts, etc., simultaneously and effectively.
no code implementations • 10 May 2020 • Feifan Lv, Yinqiang Zheng, Yicheng Li, Feng Lu
The current industry practice for 24-hour outdoor imaging is to use a silicon camera supplemented with near-infrared (NIR) illumination.
no code implementations • 17 Nov 2019 • Haiyang Si, Zhiqiang Zhang, Feifan Lv, Gang Yu, Feng Lu
Specifically, it achieves 77. 1% Mean IOU on the Cityscapes test dataset with the speed of 41 FPS for a 1024*2048 input, and 75. 4% Mean IOU with the speed of 91 FPS on the Camvid test dataset.
3 code implementations • 2 Aug 2019 • 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 the dark.
Ranked #1 on Low-Light Image Enhancement on 3DMatch Benchmark (using extra training data)
no code implementations • CVPR 2019 • Feifan Lv, Yinqiang Zheng, Bohan Zhang, Feng Lu
Short-wave infrared (SWIR) imaging has a wide range of applications for both industry and civilian.
1 code implementation • 6 Dec 2018 • Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng
Inspired by Koch's Postulates, a well-known strategy in medical research to identify the property of pathogen, we define a pathological descriptor that can be extracted from the activated neurons of a diabetic retinopathy detector.