Gang Li

发表

Improved Pavement Distress Detection Based on Contourlet Transform and Multi-Direction Morphological Structuring Elements

Gang Li, Gang Li, 2012 .

Recognition and evaluation of bridge cracks with modified active contour model and greedy search-based support vector machine

Gang Li, Feng Ru, Kai Du, 2017 .

Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field

Wei Ren, Gang Li, Qiangwei Liu, 2021 .

MeanShift tracking algorithm with adaptive block color histogram

Gang Li, Kai Du, Yongfeng Ju, 2012, 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet).

Automatic bridge crack identification from concrete surface using ResNeXt with postprocessing

Gang Li, Biao Ma, Biao Ma, 2020, Structural Control and Health Monitoring.

Pixel-level bridge crack detection using a deep fusion about recurrent residual convolution and context encoder network

Gang Li, Jian Zhou, Xiyuan Li, 2021 .

Automatic Tunnel Crack Detection Based on U-Net and a Convolutional Neural Network with Alternately Updated Clique

Biao Ma, Gang Li, Shuanhai He, 2020, Sensors.

Computer Vision-Based Bridge Damage Detection Using Deep Convolutional Networks with Expectation Maximum Attention Module

Gang Li, Qiangwei Liu, Biao Ma, 2021, Sensors.

Automatic crack recognition for concrete bridges using a fully convolutional neural network and naive Bayes data fusion based on a visual detection system

Qiangwei Liu, Gang Li, Xueli Ren, 2020, Measurement Science and Technology.

Long-distance precision inspection method for bridge cracks with image processing

Gang Li, Shuanhai He, Yongfeng Ju, 2014 .

Image-based Method for Concrete Bridge Crack Detection ?

Gang Li, Shuanhai He, Yongfeng Ju, 2013 .

Semi-Supervised Semantic Segmentation Using Adversarial Learning for Pavement Crack Detection

Jian Wan, Gang Li, Shuanhai He, 2020, IEEE Access.

Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module

Qiangwei Liu, Biao Ma, Wenting Qiao, 2021, Sensors.

Road crack detection and quantification based on segmentation network using architecture of matrix

Xuan Zheng, Xue Li, Gang Li, 2021, Engineering Computations.