| Spatial variations in urban public ridership derived from GPS trajectories and smart card data W Tu, R Cao, Y Yue, B Zhou, Q Li, Q Li Journal of Transport Geography 69, 45-57, 2018 | 232 | 2018 |
| Impacts of weather on public transport ridership: Results from mining data from different sources M Zhou, D Wang, Q Li, Y Yue, W Tu, R Cao Transportation research part C: emerging technologies 75, 17-29, 2017 | 223 | 2017 |
| Deep learning-based remote and social sensing data fusion for urban region function recognition R Cao, W Tu, C Yang, Q Li, J Liu, J Zhu, Q Zhang, Q Li, G Qiu ISPRS Journal of Photogrammetry and Remote Sensing 163, 82-97, 2020 | 176 | 2020 |
| Integrating aerial and street view images for urban land use classification R Cao, J Zhu, W Tu, Q Li, J Cao, B Liu, Q Zhang, G Qiu Remote Sensing 10 (10), 1553, 2018 | 149 | 2018 |
| Enhancing remote sensing image retrieval using a triplet deep metric learning network R Cao, Q Zhang, J Zhu, Q Li, Q Li, B Liu, G Qiu International Journal of Remote Sensing 41 (2), 740-751, 2020 | 107 | 2020 |
| Automatic tunnel crack inspection using an efficient mobile imaging module and a lightweight CNN J Liao, Y Yue, D Zhang, W Tu, R Cao, Q Zou, Q Li IEEE Transactions on Intelligent Transportation Systems 23 (9), 15190-15203, 2022 | 64 | 2022 |
| Resolving urban mobility networks from individual travel graphs using massive-scale mobile phone tracking data J Cao, Q Li, W Tu, Q Gao, R Cao, C Zhong Cities 110, 103077, 2021 | 50 | 2021 |
| MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation J Liu, Q Li, R Cao, W Tang, G Qiu ISPRS Journal of Photogrammetry and Remote Sensing 166, 255-267, 2020 | 48 | 2020 |
| Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction T Zhao, Z Huang, W Tu, B He, R Cao, J Cao, M Li Computers, Environment and Urban Systems 94, 101776, 2022 | 40 | 2022 |
| A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data D Chen, W Tu, R Cao, Y Zhang, B He, C Wang, T Shi, Q Li International Journal of Applied Earth Observation and Geoinformation 106 …, 2022 | 36 | 2022 |
| Sensing Urban Dynamics by Fusing Multi-sourced Spatiotemporal Big Data W TU, J CAO, Q GAO, R CAO, Z FANG, Y YUE, Q LI 武汉大学学报● 信息科学版 45 (12), 1875-1883, 2020 | 30* | 2020 |
| End-to-end fovea localisation in colour fundus images with a hierarchical deep regression network R Xie, J Liu, R Cao, CS Qiu, J Duan, J Garibaldi, G Qiu IEEE Transactions on Medical Imaging 40 (1), 116-128, 2020 | 27 | 2020 |
| Spatio-temporal analysis of aggregated human activities based on massive mobile phone tracking data J Cao, W Tu, Q Li, R Cao Journal of Geo-Information Science 19 (4), 467-474, 2017 | 27* | 2017 |
| Relative geometry-aware siamese neural network for 6dof camera relocalization Q Li, J Zhu, R Cao, K Sun, JM Garibaldi, Q Li, B Liu, G Qiu Neurocomputing 426, 134-146, 2021 | 26 | 2021 |
| Indoor topological localization using a visual landmark sequence J Zhu, Q Li, R Cao, K Sun, T Liu, JM Garibaldi, Q Li, B Liu, G Qiu Remote Sensing 11 (1), 73, 2019 | 24 | 2019 |
| Improving synthetic 3D model-aided indoor image localization via domain adaptation Q Li, R Cao, J Zhu, X Hou, J Liu, S Jia, Q Li, G Qiu ISPRS Journal of Photogrammetry and Remote Sensing 183, 66-78, 2022 | 20 | 2022 |
| 3D map-guided single indoor image localization refinement Q Li, J Zhu, J Liu, R Cao, H Fu, JM Garibaldi, Q Li, B Liu, G Qiu ISPRS Journal of Photogrammetry and Remote Sensing 161, 13-26, 2020 | 20 | 2020 |
| Urban land use classification based on aerial and ground images R Cao, G Qiu 2018 International Conference on Content-Based Multimedia Indexing (CBMI), 1-6, 2018 | 19 | 2018 |
| Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep learning and keypoint-based geometry alignment Q Li, R Cao, J Zhu, H Fu, B Zhou, X Fang, S Jia, S Zhang, K Liu, Q Li ISPRS Journal of Photogrammetry and Remote Sensing 195, 169-177, 2023 | 18 | 2023 |
| Deep learning based monocular depth prediction: Datasets, methods and applications Q Li, J Zhu, J Liu, R Cao, Q Li, S Jia, G Qiu arXiv preprint arXiv:2011.04123, 2020 | 17 | 2020 |
Li Qing-QuanShenzhen University, Wuhan UniversityBestätigte E-Mail-Adresse bei szu.edu.cn
