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Mixer-based Local Residual Network for Lightweight Image Super-resolution.

G. Gendy, N. Sabor, J. Hou, и G. He. CVPR Workshops, стр. 1593-1602. IEEE, (2023)

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Ahmed Gendy

Gamil Garas

Vesnica Garasic

Ahmed Aboud Mahmoud Mohamed Gendy

Samia El Gendy

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Real-Time Channel Mixing Net for Mobile Image Super-Resolution.G. Gendy, N. Sabor, J. Hou, и G. He. ECCV Workshops (2), том 13802 из Lecture Notes in Computer Science, стр. 573-590. Springer, (2022)NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.Y. Li, Y. Zhang, R. Timofte, L. Gool, L. Yu, Y. Li, X. Li, T. Jiang, Q. Wu, M. Han и 125 other автор(ы). CVPR Workshops, стр. 1922-1960. IEEE, (2023)NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results.Y. Zhang, K. Zhang, Z. Chen, Y. Li, R. Timofte, J. Zhang, K. Zhang, R. Peng, Y. Ma, L. Jia и 68 other автор(ы). CVPR Workshops, стр. 1865-1884. IEEE, (2023)Robust Arrhythmia Classification Based on QRS Detection and a Compact 1D-CNN for Wearable ECG Devices.N. Sabor, G. Gendy, H. Mohammed, G. Wang, и Y. Lian. IEEE J. Biomed. Health Informatics, 26 (12): 5918-5929 (2022)Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report.A. Ignatov, R. Timofte, M. Denna, A. Younes, G. Gankhuyag, J. Huh, M. Kim, K. Yoon, H. Moon, S. Lee и 86 other автор(ы). ECCV Workshops (3), том 13803 из Lecture Notes in Computer Science, стр. 92-129. Springer, (2022)A Simple Transformer-style Network for Lightweight Image Super-resolution.G. Gendy, N. Sabor, J. Hou, и G. He. CVPR Workshops, стр. 1484-1494. IEEE, (2023)DTDeMo: A Deep Learning-Based Two-Stage Image Demosaicing Model With Interpolation and Enhancement.J. Hou, G. Gendy, G. Chen, L. Wang, и G. He. IEEE Trans. Computational Imaging, (2024)A Hard C-Means Clustering Algorithm Incorporating Membership KL Divergence and Local Data Information for Noisy Image Segmentation.R. Gharieb, G. Gendy, и H. Selim. Int. J. Pattern Recognit. Artif. Intell., 32 (4): 1850012:1-1850012:22 (2018)Lightweight image super-resolution based on deep learning: State-of-the-art and future directions.G. Gendy, G. He, и N. Sabor. Inf. Fusion, (июня 2023)Mixer-based Local Residual Network for Lightweight Image Super-resolution.G. Gendy, N. Sabor, J. Hou, и G. He. CVPR Workshops, стр. 1593-1602. IEEE, (2023)

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