| SCANet: Self-paced semi-curricular attention network for non-homogeneous image dehazing Y Guo, Y Gao, W Liu, Y Lu, J Qu, S He, W Ren Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 51 | 2023 |
| Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways Y Guo, RW Liu, J Qu, Y Lu, F Zhu, Y Lv IEEE Transactions on Intelligent Transportation Systems 24 (11), 12779-12792, 2023 | 40 | 2023 |
| Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data J Qu, W Liu, Y Guo, Y Lu, J Su, P Li Ocean Engineering, 2023 | 39 | 2023 |
| Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons C Zhao, RW Liu, J Qu, R Gao Engineering Applications of Artificial Intelligence 128, 107513, 2024 | 30 | 2024 |
| Double domain guided real-time low-light image enhancement for ultra-high-definition transportation surveillance J Qu, RW Liu, Y Gao, Y Guo, F Zhu, FY Wang IEEE Transactions on Intelligent Transportation Systems, 2024 | 18 | 2024 |
| NTIRE 2023 HR nonhomogeneous dehazing challenge report CO Ancuti, C Ancuti, FA Vasluianu, R Timofte, H Zhou, W Dong, Y Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers J Qu, Y Gao, Y Lu, W Xu, RW Liu Ocean & Coastal Management 235, 106478, 2023 | 12 | 2023 |
| Intelligent maritime surveillance framework driven by fusion of camera-based vessel detection and AIS data J Qu, Y Guo, Y Lu, F Zhu, Y Huan, RW Liu 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 10 | 2022 |
| MDSFE: Multiscale deep stacking fusion enhancer network for visual data enhancement Y Guo, Y Lu, J Qu, RW Liu, W Ren IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2022 | 8 | 2022 |
| Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance J Qu, RW Liu, C Zhao, Y Guo, SSD Xu, F Zhu, Y Lv IEEE Transactions on Intelligent Transportation Systems, 2023 | 3 | 2023 |
| Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems J Qu, RW Liu, J Nie, X Deng, Z Xiong, Y Zhang, H Yu, D Niyato 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2022 | 1 | 2022 |
| Tracking and identification method, device, electronic device, and storage medium for multiple vessel targets W Liu, J Qu, Y Guo, M Bao, C Zhao, J Liu US Patent 12,008,801, 2024 | | 2024 |
| Method and device for automatic detection of vessel draft depth W Liu, J Qu, C Zhao, Y Zhang, Y Guo US Patent 11,981,403, 2024 | | 2024 |
| Rep-Enhancer: Re-parameterizing Neural Network for Real-time Low-light Enhancement in Visual Maritime Surveillance X Li, Y Lu, Y Guo, J Qu, RW Liu 2022 IEEE 20th International Conference on Embedded and Ubiquitous Computing …, 2022 | | 2022 |
Wen LIU (刘文)Professor, Wuhan University of Technology | 武汉理工大学Verified email at whut.edu.cn