| An enhanced CNN-enabled learning method for promoting ship detection in maritime surveillance system RW Liu, W Yuan, X Chen, Y Lu Ocean Engineering 235, 109435, 2021 | 192 | 2021 |
| Deep network-enabled haze visibility enhancement for visual IoT-driven intelligent transportation systems RW Liu, Y Guo, Y Lu, KT Chui, BB Gupta IEEE Transactions on Industrial Informatics 19 (2), 1581-1591, 2022 | 134 | 2022 |
| Low-light image enhancement with regularized illumination optimization and deep noise suppression Y Guo, Y Lu, RW Liu, M Yang, KT Chui IEEE Access 8, 145297-145315, 2020 | 57 | 2020 |
| Lightweight deep network-enabled real-time low-visibility enhancement for promoting vessel detection in maritime video surveillance Y Guo, Y Lu, RW Liu The Journal of Navigation 75 (1), 230-250, 2022 | 50 | 2022 |
| 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 | 43 | 2023 |
| Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data J Qu, RW Liu, Y Guo, Y Lu, J Su, P Li Ocean Engineering 275, 114198, 2023 | 35 | 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 | 29 | 2023 |
| MTRBNet: Multi-branch topology residual block-based network for low-light enhancement Y Lu, Y Guo, RW Liu, W Ren IEEE Signal Processing Letters 29, 1127-1131, 2022 | 24 | 2022 |
| Learning a deep convolutional network for speckle noise reduction in underwater sonar images Y Lu, RW Liu, F Chen, L Xie Proceedings of the 2019 11th International Conference on Machine Learning …, 2019 | 17 | 2019 |
| AiOENet: All-in-one low-visibility enhancement to improve visual perception for intelligent marine vehicles under severe weather conditions RW Liu, Y Lu, Y Guo, W Ren, F Zhu, Y Lv IEEE Transactions on Intelligent Vehicles, 2023 | 16 | 2023 |
| Let you see in haze and sandstorm: Two-in-one low-visibility enhancement network Y Gao, W Xu, Y Lu IEEE Transactions on Instrumentation and Measurement, 2023 | 15 | 2023 |
| 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 | 14 | 2023 |
| Intelligent Vision‐Enabled Detection of Water‐Surface Targets for Video Surveillance in Maritime Transportation Y Guo, Y Lu, Y Guo, RW Liu, KT Chui Journal of advanced transportation 2021 (1), 9470895, 2021 | 13 | 2021 |
| Heterogeneous twin dehazing network for visibility enhancement in maritime video surveillance Y Guo, Y Lu, RW Liu, L Wang, F Zhu 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 12 | 2021 |
| 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 | 11 | 2023 |
| CNN‐Enabled Visibility Enhancement Framework for Vessel Detection under Haze Environment Y Lu, Y Guo, M Liang Journal of advanced transportation 2021 (1), 5598390, 2021 | 9 | 2021 |
| Haze visibility enhancement for promoting traffic situational awareness in vision-enabled intelligent transportation Y Guo, RW Liu, Y Lu, J Nie, L Lyu, Z Xiong, J Kang, H Yu, D Niyato IEEE Transactions on Vehicular Technology, 2023 | 8 | 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 | 8 | 2022 |
| Towards low-visibility enhancement in maritime video surveillance: An efficient and effective multi-deep neural network Y Lu, Y Guo, F Zhu, RW Liu 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 8 | 2021 |
| DSPNet: Deep learning-enabled blind reduction of speckle noise Y Lu, M Yang, RW Liu 2020 25th international conference on pattern recognition (ICPR), 3475-3482, 2021 | 8 | 2021 |
Wen LIU (刘文)Professor, Wuhan University of Technology | 武汉理工大学Verified email at whut.edu.cn
