Garas Gendy

Orcid: 0000-0001-6347-4826

According to our database1, Garas Gendy authored at least 33 papers between 2015 and 2026.

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Bibliography

2026
Deep learning for stereo image super-resolution: a comprehensive survey.
Neural Comput. Appl., May, 2026

Lightweight image super-resolution based on retentive network.
Neural Comput. Appl., March, 2026

GMambaHSI: Group-based visual state space model for hyperspectral image classification.
Neurocomputing, 2026

Remote sensing image super-resolution via hybrid mamba and convolutional architectures.
Neurocomputing, 2026

Convolution mixer-based transformer-style network for lightweight remote sensing image super-resolution.
Appl. Soft Comput., 2026

2025
Fourier-based degradation-aware transformer-style network for blind image super-resolution.
Int. J. Mach. Learn. Cybern., October, 2025

Physics-guided atmospheric restoration network for single image dehazing.
Signal Image Video Process., September, 2025

Fusion of Transformer and diffusion features for real-world image super-resolution.
Signal Image Video Process., September, 2025

Blind image super-resolution using swin transformer with unsupervised degradation and sparse attention.
Neural Comput. Appl., September, 2025

Transformer-style convolution network for lightweight image super-resolution.
Multim. Tools Appl., August, 2025

Lightweight image super-resolution based on mixer-based focal modulation network.
Signal Image Video Process., July, 2025

Phydiisp: a physics-guided differentiable pipeline for low-light machine vision.
Signal Image Video Process., May, 2025

Lightweight image super-resolution network based on graph-based deep learning.
Signal Image Video Process., March, 2025

Diffusion models for image super-resolution: State-of-the-art and future directions.
Neurocomputing, 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

Lightweight image super-resolution network based on extended convolution mixer.
Eng. Appl. Artif. Intell., 2024

Efficient image super-resolution based on transformer with bidirectional interaction.
Appl. Soft Comput., 2024

2023
Lightweight image super-resolution based multi-order gated aggregation network.
Neural Networks, September, 2023

Lightweight image super-resolution based on deep learning: State-of-the-art and future directions.
Inf. Fusion, June, 2023


NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Mixer-based Local Residual Network for Lightweight Image Super-resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Simple Transformer-style Network for Lightweight Image Super-resolution.
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


Real-Time Channel Mixing Net for Mobile Image Super-Resolution.
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


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