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CPLFormer: Cross-scale Prototype Learning Transformer for Image Snow Removal.

, , , , , , , and . ACM Multimedia, page 4228-4239. ACM, (2023)

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MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing., , , , , and . CoRR, (2022)Towards Real-Time High-Definition Image Snow Removal: Efficient Pyramid Network with Asymmetrical Encoder-Decoder Architecture., , , , , and . ACCV (3), volume 13843 of Lecture Notes in Computer Science, page 37-51. Springer, (2022)MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Parallel Cross Strip Attention Network for Single Image Dehazing., , , , , and . CNIOT, ACM, (2024)Five A+ Network: You Only Need 9K Parameters for Underwater Image Enhancement., , , , , , , and . BMVC, page 149-151. BMVA Press, (2023)Shanghai Jiao Tong University participation in high-level feature extraction and surveillance event detection at TRECVID 2009., , , , , , , , , and 5 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2009)CPLFormer: Cross-scale Prototype Learning Transformer for Image Snow Removal., , , , , , , and . ACM Multimedia, page 4228-4239. ACM, (2023)Separating Chinese Character from Noisy Background Using GAN., , , , , , , and . Wirel. Commun. Mob. Comput., (2021)SnowFormer: Scale-aware Transformer via Context Interaction for Single Image Desnowing., , , , , and . CoRR, (2022)Perceiving and Modeling Density is All You Need for Image Dehazing., , , , , , and . CoRR, (2021)