Garas Gendy
Orcid: 0000-0001-6347-4826
According to our database1,
Garas Gendy
authored at least 19 papers
between 2015 and 2025.
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Bibliography
2025
Lightweight image super-resolution network based on dynamic graph message passing and convolution mixer.
Expert Syst. Appl., 2025
2024
DTDeMo: A Deep Learning-Based Two-Stage Image Demosaicing Model With Interpolation and Enhancement.
IEEE Trans. Computational Imaging, 2024
Eng. Appl. Artif. Intell., 2024
Efficient image super-resolution based on transformer with bidirectional interaction.
Appl. Soft Comput., 2024
2023
Neural Networks, September, 2023
Lightweight image super-resolution based on deep learning: State-of-the-art and future directions.
Inf. Fusion, June, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Robust Arrhythmia Classification Based on QRS Detection and a Compact 1D-CNN for Wearable ECG Devices.
IEEE J. Biomed. Health Informatics, 2022
Balanced Spatial Feature Distillation and Pyramid Attention Network for Lightweight Image Super-resolution.
Neurocomputing, 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2018
A Hard C-Means Clustering Algorithm Incorporating Membership KL Divergence and Local Data Information for Noisy Image Segmentation.
Int. J. Pattern Recognit. Artif. Intell., 2018
2017
C-means clustering fuzzified by two membership relative entropy functions approach incorporating local data information for noisy image segmentation.
Signal Image Video Process., 2017
Adaptive local data and membership based KL divergence incorporating C-means algorithm for fuzzy image segmentation.
Appl. Soft Comput., 2017
2015
Fuzzy C-means algorithm incorporating local data and membership information for noisy medical image segmentation.
Proceedings of the 2015 IEEE International Conference on Electronics, 2015