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Morphological Networks for Image De-raining.

, , , and . DGCI, volume 11414 of Lecture Notes in Computer Science, page 262-275. Springer, (2019)

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Reconstruction Loss Minimized FCN for Single Image Dehazing., , and . CoRR, (2018)Day/night unconstrained image dehazing., and . ICPR, page 1406-1411. IEEE, (2016)An Image Dataset of Bishnupur Terracotta Temples for Digital Heritage Research., , , , and . Heritage Preservation, Springer, (2018)Dense Morphological Network: An Universal Function Approximator., , and . CoRR, (2019)Morphological Networks for Image De-raining., , , and . DGCI, volume 11414 of Lecture Notes in Computer Science, page 262-275. Springer, (2019)Bishnupur heritage image dataset (BHID): a resource for various computer vision applications., , , , and . ICVGIP, page 80:1-80:8. ACM, (2016)NTIRE 2019 Image Dehazing Challenge Report., , , , , , , , , and 49 other author(s). CVPR Workshops, page 2241-2253. Computer Vision Foundation / IEEE, (2019)Incorporating Human Body Shape Guidance for Cloth Warping in Model to Person Virtual Try-on Problems., , and . IVCNZ, page 1-6. IEEE, (2020)Morphological Network: How Far Can We Go with Morphological Neurons?, , , and . BMVC, page 779. BMVA Press, (2022)Significance of Anatomical Constraints in Virtual Try-On., , , and . IEEE Trans. Emerg. Top. Comput. Intell., 8 (2): 1853-1864 (April 2024)