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Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways.

, , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (11): 12779-12792 (November 2023)

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Let You See in Haze and Sandstorm: Two-in-One Low-Visibility Enhancement Network., , and . IEEE Trans. Instrum. Meas., (2023)Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways., , , , , and . CoRR, (2023)Intelligent Maritime Surveillance Framework Driven by Fusion of Camera-Based Vessel Detection and AIS Data., , , , , and . ITSC, page 2280-2285. IEEE, (2022)AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration., , , , , and . CoRR, (2024)DSPNet: Deep Learning-Enabled Blind Reduction of Speckle Noise., , and . ICPR, page 3475-3482. IEEE, (2020)Towards Low-Visibility Enhancement in Maritime Video Surveillance: An Efficient and Effective Multi-Deep Neural Network., , , and . ITSC, page 2869-2874. IEEE, (2021)Rep-Enhancer: Re-parameterizing Neural Network for Real-time Low-light Enhancement in Visual Maritime Surveillance., , , , and . EUC, page 48-53. IEEE, (2022)SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing., , , , , , and . CVPR Workshops, page 1885-1894. IEEE, (2023)Heterogeneous Twin Dehazing Network for Visibility Enhancement in Maritime Video Surveillance., , , , and . ITSC, page 2875-2880. IEEE, (2021)Learning a Deep Convolutional Network for Speckle Noise Reduction in Underwater Sonar Images., , , and . ICMLC, page 445-450. ACM, (2019)