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Motion Saliency Based Generative Adversarial Network for Underwater Moving Object Segmentation.

, , , and . ICIP, page 1565-1569. IEEE, (2019)

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Motion Saliency Based Generative Adversarial Network for Underwater Moving Object Segmentation., , , and . ICIP, page 1565-1569. IEEE, (2019)An End-to-End Network for Image De-Hazing and Beyond., , and . IEEE Trans. Emerg. Top. Comput. Intell., 6 (1): 159-170 (2022)Motion estimation in hazy videos., , , , and . Pattern Recognit. Lett., (2021)Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions., , , and . ECCV (28), volume 13688 of Lecture Notes in Computer Science, page 143-160. Springer, (2022)Video Enhancement with Single Frame., , and . CVIP (2), volume 1568 of Communications in Computer and Information Science, page 206-218. Springer, (2021)Robust Unseen Video Understanding for Various Surveillance Environments., , , , , and . AVSS, page 1-8. IEEE, (2022)Single Frame-Based Video Dehazing with Adversarial Learning., , and . CVIP (2), volume 1568 of Communications in Computer and Information Science, page 36-47. Springer, (2021)Pose Guided Dynamic Image Network for Human Action Recognition in Person Centric Videos., , , and . AVSS, page 1-8. IEEE, (2019)A Novel Saliency-Based Cascaded Approach for Moving Object Segmentation., , , and . CVIP (1), volume 1147 of Communications in Computer and Information Science, page 311-322. Springer, (2019)Deep Adversarial Network for Scene Independent Moving Object Segmentation., , , and . IEEE Signal Process. Lett., (2021)