Mingzhu Wang

发表

Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification

Peter Kok-Yiu Wong, Jack C. P. Cheng, Pak Him Leung, 2022, Automation in Construction.

A unified convolutional neural network integrated with conditional random field for pipe defect segmentation

Jack Chin Pang Cheng, Mingzhu Wang, Jack C. P. Cheng, 2019, Comput. Aided Civ. Infrastructure Eng..

Automatic concrete sidewalk deficiency detection and mapping with deep learning

Yuhan Jiang, Yong Bai, Sisi Han, 2022, Expert Syst. Appl..

Science Mapping for Recent Research Regarding Urban Underground Infrastructure

Mingzhu Wang, Xianfei Yin, 2022, Buildings.

Construction and maintenance of urban underground infrastructure with digital technologies

Mingzhu Wang, Xianfei Yin, 2022, Automation in Construction.

Towards an automated condition assessment framework of underground sewer pipes based on closed-circuit television (CCTV) images

Mingzhu Wang, Jack C. P. Cheng, Han Luo, 2021 .

Construction machine pose prediction considering historical motions and activity attributes using gated recurrent unit (GRU)

Mingzhu Wang, Jingyuan Tang, Peter Kok-Yiu Wong, 2021 .

Full body pose estimation of construction equipment using computer vision and deep learning techniques

Jack Chin Pang Cheng, Mingzhu Wang, Peter Kok-Yiu Wong, 2020 .

Real-time detection of wildfire risk caused by powerline vegetation faults using advanced machine learning techniques

Jack Chin Pang Cheng, Mingzhu Wang, Vincent J.L. Gan, 2020, Adv. Eng. Informatics.

Enriched and discriminative convolutional neural network features for pedestrian re‐identification and trajectory modeling

Peter Kok-Yiu Wong, Jack C. P. Cheng, Han Luo, 2021, Comput. Aided Civ. Infrastructure Eng..

A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data

Weiwei Chen, Jack Chin Pang Cheng, Mingzhu Wang, 2020, Energy and Buildings.

Ontology-based modelling of lifecycle underground utility information to support operation and maintenance

Mingzhu Wang, Mingzhu Wang, 2021, Automation in Construction.

An integrated underground utility management and decision support based on BIM and GIS

Jack Chin Pang Cheng, Mingzhu Wang, Yichuan Deng, 2019, Automation in Construction.

Automated semantic segmentation of industrial point clouds using ResPointNet

Jack Chin Pang Cheng, Mingzhu Wang, Vincent J.L. Gan, 2021 .

Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series

Yuexiong Ding, Jack Chin Pang Cheng, Mingzhu Wang, 2020, Adv. Eng. Informatics.

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

Jack Chin Pang Cheng, Jack C. P. Cheng, Mingzhu Wang, 2018, Automation in Construction.

Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning

Jack Chin Pang Cheng, Mingzhu Wang, Jack C. P. Cheng, 2021 .

Deep Learning-Based Automated Detection of Sewer Defects in CCTV Videos

Dulcy M. Abraham, Jack Chin Pang Cheng, Tom Iseley, 2020, J. Comput. Civ. Eng..

Automatic detection of sewer defects based on improved you only look once algorithm

Mingzhu Wang, Penglu Chen, Yi Tan, 2021 .

Recognition of pedestrian trajectories and attributes with computer vision and deep learning techniques

Mingzhu Wang, Peter Kok-Yiu Wong, Jack C. P. Cheng, 2021, Adv. Eng. Informatics.

A framework for synthetic image generation and augmentation for improving automatic sewer pipe defect detection

Jack C. P. Cheng, Mingzhu Wang, Chun-fai Siu, 2022, Automation in Construction.

Predicting Safety Hazards Among Construction Workers and Equipment Using Computer Vision and Deep Learning Techniques

Jack Chin Pang Cheng, Mingzhu Wang, Peter Kok-Yiu Wong, 2019, Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC).

Semantic Segmentation of Sewer Pipe Defects Using Deep Dilated Convolutional Neural Network

Mingzhu Wang, Jack C. P. Cheng, Mingzhu Wang, 2019, Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC).

An Annotation Tool for Benchmarking Methods for Automated Construction Worker Pose Estimation and Activity Analysis

M. Golparvar-Fard, D. Roberts, M. Wang, 2019, International Conference on Smart Infrastructure and Construction 2019 (ICSIC).