| PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data Q Zhang, L Ge, S Hensley, GI Metternicht, C Liu, R Zhang ISPRS Journal of Photogrammetry and Remote Sensing 186, 123-139, 2022 | 39 | 2022 |
| Implementation of 360 videos and mobile laser measurement technologies for immersive visualisation of real estate & properties F Felli, C Liu, F Ullah, S Sepasgozar Proceedings of the 42nd AUBEA Conference, Singapore 1, 2018 | 37 | 2018 |
| Applications of object detection in modular construction based on a comparative evaluation of deep learning algorithms C Liu, S ME Sepasgozar, S Shirowzhan, G Mohammadi Construction Innovation 22 (1), 141-159, 2022 | 31 | 2022 |
| Evaluation of classical operators and fuzzy logic algorithms for edge detection of panels at exterior cladding of buildings C Liu, S Shirowzhan, SME Sepasgozar, A Kaboli Buildings 9 (2), 40, 2019 | 29 | 2019 |
| 3D printing architectural freeform elements: Challenges and opportunities in manufacturing for industry 4.0 M Niemelä, A Shi, S Shirowzhan, S Sepasgozar, C Liu Proceedings of the 36th International Symposium on Automation and Robotics …, 2019 | 27 | 2019 |
| Towards a deep-learning-based framework of Sentinel-2 imagery for automated active fire detection Q Zhang, L Ge, R Zhang, GI Metternicht, C Liu, Z Du Remote Sensing 13 (23), 4790, 2021 | 22 | 2021 |
| Monitoring physical progress of indoor buildings using mobile and terrestrial point clouds S Shirowzhan, S Sepasgozar, C Liu Construction Research Congress 2018, 602-611, 2018 | 19 | 2018 |
| A novel attention-based deep learning method for post-disaster building damage classification C Liu, SME Sepasgozar, Q Zhang, L Ge Expert Systems with Applications 202, 117268, 2022 | 18 | 2022 |
| Virtual experiencing and pricing of room views based on BIM and oblique photogrammetry T Sun, Z Xu, J Yuan, C Liu, A Ren Procedia engineering 196, 1122-1129, 2017 | 15 | 2017 |
| Post-disaster classification of building damage using transfer learning C Liu, L Ge, SME Sepasgozar 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2194 …, 2021 | 5 | 2021 |
| Demystifying the Influencing Factors of Construction 4.0 Technology Implementation from a Sustainability Starting Point: Current Trends and Future Research Roadmap Q Zhang, C Liu, W Zhu, S Mei Buildings 14 (2), 552, 2024 | 2 | 2024 |
| Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data Q Zhang, S Hensley, R Zhang, C Liu, L Ge Remote Sensing 14 (20), 5234, 2022 | 2 | 2022 |
| Bibliometric analysis of interferometric synthetic aperture radar (InSAR) application in land subsidence from 2000 to 2021 Y Wu, C Liu, Q Zhang, L Ge Journal of Sensors 2022 (1), 1027673, 2022 | 2 | 2022 |
| Quantitative, Near Real-Time Mapping of Bushfires Through Integration of Optical and SAR Remote Sensing Techniques L Ge, Y Wang, Q Zhang, Z Du, C Liu, Y Dong, T Sleigh, T Guo, X Lei, Z Ma 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 455-458, 2021 | 2 | 2021 |
| Comparative Analysis of Five Edge Detection Algorithms for Panel Defect Detection C Liu, S Shirowzhan, SME Sepasgozar, S Kaboli 1st International Conference on 3D Construction Printing, Swinburne …, 2018 | 1 | 2018 |
| Channel Attention and Normal-based Local Feature Aggregation Network (CNLNet): A Deep Learning Method for Predisaster Large-scale Outdoor Lidar Semantic Segmentation C Liu, L Ge, W Xiang, Z Du, Q Zhang IEEE Transactions on Geoscience and Remote Sensing, 2023 | | 2023 |
| Using Multi-Temporal Optical Remote Sensing Images For Monitoring Post-Failure Evolution Of The Aniangzhai Landslide In Danba County, China J Kuang, L Ge, Q Zhang, C Liu IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Flood Assessment and Mapping Based on SAR and QUAV Vertical Remote Sensing Framework: A Case Study of 2022 Australia Moama Floods Z Sheng, L Ge, C Li, T Bai, C Liu, Y Wu, Q Zhang IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| An Improved Luminance Contrast Saliency Map for Burned Area Mapping Based in INSAR Coherence Difference Image T Bai, L Ge, SME Sepasgozar, Z Sheng, C Liu, Y Wu, Q Zhang IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| The Influence of Changing Features on the Accuracy of Deep Learning-Based Large-Scale Outdoor Lidar Semantic Segmentation C Liu, Q Zhang, S Shirowzhan, T Bai, Z Sheng, Y Wu, J Kuang, L Ge IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
