Ahmed Salem

Orcid: 0000-0002-4682-0368

Affiliations:
  • Chungbuk National University, College of Electrical and Computer Engineering, Cheongju, South Korea


According to our database1, Ahmed Salem authored at least 24 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
Pixel shuffling is all you need: spatially aware convmixer for dense prediction tasks.
Pattern Recognit., 2025

2024
Elevating Chest X-ray Image Super-Resolution with Residual Network Enhancement.
J. Imaging, March, 2024

Light Field Reconstruction With Dual Features Extraction and Macro-Pixel Upsampling.
IEEE Access, 2024

2023
Light Field Image Super-Resolution Using Deep Residual Networks on Lenslet Images.
Sensors, February, 2023

SDDS-Net: Space and Depth Encoder-Decoder Convolutional Neural Networks for Real-Time Semantic Segmentation.
IEEE Access, 2023


Learning Epipolar-Spatial Relationship for Light Field Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ST-RoomNet: Learning Room Layout Estimation From Single Image Through Unsupervised Spatial Transformations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
End-to-End Residual Network for Light Field Reconstruction on Raw Images and View Image Stacks.
Sensors, 2022

RCA-LF: Dense Light Field Reconstruction Using Residual Channel Attention Networks.
Sensors, 2022

Light Field Reconstruction Using Residual Networks on Raw Images.
Sensors, 2022

Exploration of Semantic Label Decomposition and Dataset Size in Semantic Indoor Scenes Synthesis via Optimized Residual Generative Adversarial Networks.
Sensors, 2022

RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers.
Sensors, 2022

LEOD-Net: Learning Line-Encoded Bounding Boxes for Real-Time Object Detection.
Sensors, 2022

DTS-Depth: Real-Time Single-Image Depth Estimation Using Depth-to-Space Image Construction.
Sensors, 2022

DTS-Net: Depth-to-Space Networks for Fast and Accurate Semantic Object Segmentation.
Sensors, 2022

SD-Depth: Light-Weight Monocular Depth Estimation Using Space Depth CNN for Real-Time Applications.
Proceedings of the Machine Learning and Artificial Intelligence, 2022

2021
Real-Time Weakly Supervised Object Detection Using Center-of-Features Localization.
IEEE Access, 2021

X-ray image denoising for Cargo Dual Energy Inspection System.
Proceedings of the International Conference on Electronics, Information, and Communication, 2021

CCC: Weakly Supervised Semantic Segmentation using Class Contribution Classification.
Proceedings of the International Conference on Electronics, Information, and Communication, 2021

Stereo Extrapolation: View synthesis with multiplane images.
Proceedings of the International Conference on Electronics, Information, and Communication, 2021

2020
Dual Disparity-Based Novel View Reconstruction for Light Field Images Using Discrete Cosine Transform Filter.
IEEE Access, 2020

Fast Light Field Reconstruction Using Convolutional Neural Network to Double Angular Resolution.
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020

Weakly Supervised Traffic Sign Detection in Real Time Using Single CNN Architecture for Multiple Purposes.
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020


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