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Scale adaptive and lightweight super-resolution with a selective hierarchical residual network.

, , , , , and . ICIAI, page 8-14. ACM, (2021)

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CBAM-GAN: Generative Adversarial Networks Based on Convolutional Block Attention Module., , , , and . ICAIS (1), volume 11632 of Lecture Notes in Computer Science, page 227-236. Springer, (2019)A Disparity Feature Alignment Module for Stereo Image Super-Resolution., , , and . IEEE Signal Process. Lett., (2021)Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs., , , , , , , , , and 2 other author(s). CoRR, (2023)LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning., , , , , , , , , and 2 other author(s). CoRR, (2023)Self-supervision meets kernel graph neural models: From architecture to augmentations., , , , , , , , , and 1 other author(s). ICDM (Workshops), page 1076-1083. IEEE, (2023)Scale adaptive and lightweight super-resolution with a selective hierarchical residual network., , , , , and . ICIAI, page 8-14. ACM, (2021)Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network., , , , , , and . AAAI, page 14153-14160. AAAI Press, (2023)GUARD: Graph Universal Adversarial Defense., , , , , , , and . CIKM, page 1198-1207. ACM, (2023)Residual Fractal Network for Single Image Super Resolution by Widening and Deepening., , , , and . ICPR, page 1596-1603. IEEE, (2020)