Jingjing Guo

About Jingjing Guo

Jingjing Guo, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Defect detection, Quality inspection, Computer vision, Artificial intelligence, Data quality.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unified weakly and semi-supervised crack segmentation framework using limited coarse labels

A transformer and self-cascade operation-based architecture for segmenting high-resolution bridge cracks

Surface defect detection of civil structures using images: Review from data perspective

Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images

Informativeness‐guided active learning for deep learning–based façade defects detection

An integrated method for road crack segmentation and surface feature quantification under complex backgrounds

Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning

Automated vehicle wheelbase measurement using computer vision and view geometry

Jingjing Guo Information

University

Position

___

Citations(all)

558

Citations(since 2020)

557

Cited By

58

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Jingjing Guo Skills & Research Interests

Defect detection

Quality inspection

Computer vision

Artificial intelligence

Data quality

Top articles of Jingjing Guo

Title

Journal

Author(s)

Publication Date

Unified weakly and semi-supervised crack segmentation framework using limited coarse labels

Engineering Applications of Artificial Intelligence

Chao Xiang

Vincent JL Gan

Lu Deng

Jingjing Guo

Shaopeng Xu

2024/7/1

A transformer and self-cascade operation-based architecture for segmenting high-resolution bridge cracks

Automation in Construction

Honghu Chu

Lu Deng

Huaqing Yuan

Lizhi Long

Jingjing Guo

2024/2/1

Surface defect detection of civil structures using images: Review from data perspective

Jingjing Guo

Pengkun Liu

Bo Xiao

Lu Deng

Qian Wang

2024/2/1

Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images

Computer‐Aided Civil and Infrastructure Engineering

Honghu Chu

Lizhi Long

Jingjing Guo

Huaqing Yuan

Lu Deng

2024/2

Informativeness‐guided active learning for deep learning–based façade defects detection

Computer‐Aided Civil and Infrastructure Engineering

Jingjing Guo

Qian Wang

Shu Su

Yiting Li

2023/11

An integrated method for road crack segmentation and surface feature quantification under complex backgrounds

Remote Sensing

Lu Deng

An Zhang

Jingjing Guo

Yingkai Liu

2023/3/10

Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning

Advanced Engineering Informatics

Pengkun Liu

Hongtuo Qi

Jiepeng Liu

Liang Feng

Dongsheng Li

...

2023/10/1

Automated vehicle wheelbase measurement using computer vision and view geometry

Measurement Science and Technology

Yingkai Liu

Dayong Han

Ran Cao

Jingjing Guo

Lu Deng

2023/9/22

Semi-supervised learning framework for crack segmentation based on contrastive learning and cross pseudo supervision

Measurement

Chao Xiang

Vincent JL Gan

Jingjing Guo

Lu Deng

2023/8/1

A crack-segmentation algorithm fusing transformers and convolutional neural networks for complex detection scenarios

Automation in Construction

Chao Xiang

Jingjing Guo

Ran Cao

Lu Deng

2023/8/1

Human-related uncertainty analysis for automation-enabled façade visual inspection: A Delphi study

Journal of Management in Engineering

Jingjing Guo

Qian Wang

2022/3/1

Multi‐defect segmentation from façade images using balanced copy–paste method

Computer‐Aided Civil and Infrastructure Engineering

Jiajun Li

Qian Wang

Jun Ma

Jingjing Guo

2022

Multiple Object Tracking Based on Tracking Compensation for Low-Resolution Scenarios

Zhiyan Cui

Na Lu

Qian Wang

Jingjing Guo

Jiaming Yang

2022/10/28

Few-shot classification of façade defects based on extensible classifier and contrastive learning

Automation in Construction

Zhiyan Cui

Qian Wang

Jingjing Guo

Na Lu

2022/9/1

Benefits of terrestrial laser scanning for construction QA/QC: a time and cost analysis

Journal of Management in Engineering

Xiaoying Tang

Mengjun Wang

Qian Wang

Jingjing Guo

Jingxiao Zhang

2022/3/1

An adaptive down-sampling method of laser scan data for scan-to-BIM

Automation in Construction

Qi Qiu

Mengjun Wang

Jingjing Guo

Ziwen Liu

Qian Wang

2022/3/1

Effects of dataset characteristics on the performance of fatigue detection for crane operators using hybrid deep neural networks

Automation in Construction

Pengkun Liu

Hung-Lin Chi

Xiao Li

Jingjing Guo

2021/12/1

Evaluation-oriented façade defects detection using rule-based deep learning method

Automation in Construction

Jingjing Guo

Qian Wang

Yiting Li

2021/11/1

Semi‐supervised learning based on convolutional neural network and uncertainty filter for façade defects classification

Computer‐Aided Civil and Infrastructure Engineering

Jingjing Guo

Qian Wang

Yiting Li

2021

Geometric quality inspection of prefabricated MEP modules with 3D laser scanning

Automation in Construction

Jingjing Guo

Qian Wang

Jae-Hyuk Park

2020/3/1

See List of Professors in Jingjing Guo University(National University of Singapore)

Co-Authors

academic-engine