5 citations · 11 across the 4 of their papers we have counts for
4 papers
Orientation and Context Entangled Network for Retinal Vessel Segmentation
Xinxu Wei, Kaifu Yang, Danilo Bzdok +1
Most of the existing deep learning based methods for vessel segmentation neglect two important aspects of retinal vessels, one is the orientation information of vessels, and the ot…
DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement
Xinxu Wei, Xianshi Zhang, Shisen Wang +4
Images obtained in real-world low-light conditions are not only low in brightness, but they also suffer from many other types of degradation, such as color distortion, unknown nois…
BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration
Xinxu Wei, Xianshi Zhang, Shisen Wang +4
Images obtained in real-world low-light conditions are not only low in brightness, but they also suffer from many other types of degradation, such as color bias, unknown noise, det…
Nearest Descent, In-Tree, and Clustering
Teng Qiu, Kaifu Yang, Chaoyi Li +1
In this paper, we propose a physically inspired graph-theoretical clustering method, which first makes the data points organized into an attractive graph, called In-Tree, via a phy…