Weakly Supervised Traffic Sign Detection in Real Time Using Single CNN Architecture for Multiple Purposes. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (ICCE, 2020)

Fast Light Field Reconstruction Using Convolutional Neural Network to Double Angular Resolution. - Ahmed Salem 005; Hatem Ibrahem; Hyun Soo Kang 001 (ICCE, 2020)

Dual Disparity-Based Novel View Reconstruction for Light Field Images Using Discrete Cosine Transform Filter. - Ahmed Salem 005; Hatem Ibrahem; Hyun Soo Kang 001 (IEEE Access, 2020)

Stereo Extrapolation: View synthesis with multiplane images. - Ahmed Salem 005; Hatem Ibrahem; Bilel Yagoub; Hyun Soo Kang 001 (ICEIC, 2021)

CCC: Weakly Supervised Semantic Segmentation using Class Contribution Classification. - Hatem Ibrahem; Ahmed Salem 005; Bilel Yagoub; Hyun Soo Kang 001 (ICEIC, 2021)

X-ray image denoising for Cargo Dual Energy Inspection System. - Bilel Yagoub; Hatem Ibrahem; Ahmed Salem 005; Jae-Won Suh; Hyun Soo Kang 001 (ICEIC, 2021)

Real-Time Weakly Supervised Object Detection Using Center-of-Features Localization. - Hatem Ibrahem; Ahmed Diefy Ahmed Salem; Hyun Soo Kang 001 (IEEE Access, 2021)

PEM Fuel Cell Design Simulation for Electric Vehicles Using Artificial Neural Networks. - Amira Mohamed; Hatem Ibrahem; Kibum Kim (ICCE, 2022)

SD-Depth: Light-Weight Monocular Depth Estimation Using Space Depth CNN for Real-Time Applications. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (MLIS, 2022)

Machine Learning-Based Current Density Simulation for Direct Borohydride Fuel Cell. - Amira Mohamed; Hatem Ibrahem; Jung-Hyun Lee; Kibum Kim (MLIS, 2022)

DTS-Net: Depth-to-Space Networks for Fast and Accurate Semantic Object Segmentation. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (Sensors, 2022)

DTS-Depth: Real-Time Single-Image Depth Estimation Using Depth-to-Space Image Construction. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (Sensors, 2022)

LEOD-Net: Learning Line-Encoded Bounding Boxes for Real-Time Object Detection. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (Sensors, 2022)

RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (Sensors, 2022)

Exploration of Semantic Label Decomposition and Dataset Size in Semantic Indoor Scenes Synthesis via Optimized Residual Generative Adversarial Networks. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (Sensors, 2022)

Light Field Reconstruction Using Residual Networks on Raw Images. - Ahmed Salem 005; Hatem Ibrahem; Hyun Soo Kang 001 (Sensors, 2022)

RCA-LF: Dense Light Field Reconstruction Using Residual Channel Attention Networks. - Ahmed Salem 005; Hatem Ibrahem; Hyun Soo Kang 001 (Sensors, 2022)

End-to-End Residual Network for Light Field Reconstruction on Raw Images and View Image Stacks. - Ahmed Salem 005; Hatem Ibrahem; Bilel Yagoub; Hyun Soo Kang 001 (Sensors, 2022)

ST-RoomNet: Learning Room Layout Estimation From Single Image Through Unsupervised Spatial Transformations. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (CVPR Workshops, 2023)

Learning Epipolar-Spatial Relationship for Light Field Image Super-Resolution. - Ahmed Salem 005; Hatem Ibrahem; Hyun Soo Kang 001 (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. - Yingqian Wang 002; Longguang Wang; Zhengyu Liang; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; Sha Guo; Mingzhi Gao; Xiuzhuang Zhou; et al. (CVPR Workshops, 2023)

SDDS-Net: Space and Depth Encoder-Decoder Convolutional Neural Networks for Real-Time Semantic Segmentation. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (IEEE Access, 2023)

Light Field Image Super-Resolution Using Deep Residual Networks on Lenslet Images. - Ahmed Salem 005; Hatem Ibrahem; Hyun Soo Kang 001 (Sensors, 2023)

Light Field Reconstruction With Dual Features Extraction and Macro-Pixel Upsampling. - Ahmed Salem 005; Ebrahem Elkady; Hatem Ibrahem; Jae-Won Suh; Hyun Soo Kang 001 (IEEE Access, 2024)

NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Fengyuan Zhang; Lvli Tian; Longguang Wang; Juncheng Li 013; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; et al. (CVPR Workshops, 2025)

Pixel shuffling is all you need: spatially aware convmixer for dense prediction tasks. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (Pattern Recognit., 2025)

Seg2Depth: Semi-Supervised Depth Estimation for Autonomous Vehicles Using Semantic Segmentation and Single Vanishing Point Fusion. - Hatem Ibrahem; Ahmed Salem 005; Hyun Soo Kang 001 (IEEE Trans. Intell. Veh., 2025)