309 citations · 987 across the 18 of their papers we have counts for
7 papers · 1 filter
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture
Zhun Fan, Chong Li, Ying Chen +4
Inspired by the development of deep learning in computer vision and object detection, the proposed algorithm considers an encoder-decoder architecture with hierarchical feature lea…
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement
Zhun Fan, Chong Li, Ying Chen +4
Automated pavement crack detection and measurement are important road issues. Agencies have to guarantee the improvement of road safety. Conventional crack detection and measuremen…
Automated Steel Bar Counting and Center Localization with Convolutional Neural Networks
Zhun Fan, Jiewei Lu, Benzhang Qiu +4
Automated steel bar counting and center localization plays an important role in the factory automation of steel bars. Traditional methods only focus on steel bar counting and their…
Automated Strabismus Detection for Telemedicine Applications
Jiewei Lu, Zhun Fan, Ce Zheng +4
Strabismus is one of the most influential ophthalmologic diseases in human's life. Timely detection of strabismus contributes to its prognosis and treatment. Telemedicine, which ha…
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network
Zhun Fan, Yuming Wu, Jiewei Lu +1
Automated pavement crack detection is a challenging task that has been researched for decades due to the complicated pavement conditions in real world. In this paper, a supervised…
Object Sorting Using a Global Texture-Shape 3D Feature Descriptor
Zhun Fan, Zhongxing Li, Benzhang Qiu +4
Object recognition and grasping plays a key role in robotic systems, especially for the autonomous robots to implement object sorting tasks in a warehouse. In this paper, we presen…
A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus images
Zhun Fan, Jiewei Lu, Wenji Li +4
In this paper, a hierarchical image matting model is proposed to extract blood vessels from fundus images. More specifically, a hierarchical strategy utilizing the continuity and e…