On Eliminating Static Shadow False Alarms in Automatic Incident Detection Systems. - Mohamed S. Shehata; Muzamil S. Pervez; Tyson Burr; Jun Cai; Wael M. Badawy; Ahmad Radmanesh (ITSC, 2006)

On The Identification of Snow Movements on Roads. - Jun Cai; Muzamil S. Pervez; Mohamed S. Shehata; Robert Johannesson; Wael M. Badawy; Ahmad Radmanesh (SiPS, 2006)

An Algorithm to Compensate for Road Illumination Changes for AID Systems. - Jun Cai; Mohamed S. Shehata; Wael M. Badawy; Muzamil S. Pervez (ITSC, 2007)

Video-Based Automatic Incident Detection for Smart Roads: The Outdoor Environmental Challenges Regarding False Alarms. - Mohamed S. Shehata; Jun Cai; Wael M. Badawy; T. W. Burr; Muzamil S. Pervez; Robert Johannesson; Alireza Radmanesh (IEEE Trans. Intell. Transp. Syst., 2008)

A Robust Video-Based Algorithm for Detecting Snow Movement in Traffic Scenes. - Jun Cai; Mohamed S. Shehata; Wael M. Badawy (J. Signal Process. Syst., 2009)

A novel algorithm for illumination invariant DCT-based face recognition. - Shan Du; Mohamed S. Shehata; Wael M. Badawy (CCECE, 2012)

Eliminating illumination effects by discrete cosine transform (DCT) coefficients' attenuation and accentuation. - Shan Du; Mohamed S. Shehata; Wael M. Badawy; Choudhury A. Rahman (Image Processing: Machine Vision Applications, 2013)

Automatic License Plate Recognition (ALPR): A State-of-the-Art Review. - Shan Du; Mahmoud Ibrahim; Mohamed S. Shehata; Wael M. Badawy (IEEE Trans. Circuits Syst. Video Technol., 2013)

Moving object detection from moving platforms using Lagrange multiplier. - Agwad ElTantawy; Mohamed S. Shehata (ICIP, 2015)

UT-MARO: Unscented Transformation and Matrix Rank Optimization for Moving Objects Detection in Aerial Imagery. - Agwad ElTantawy; Mohamed S. Shehata (ISVC (1), 2015)

Feasibility of a semi-automated approach to grading point of care ultrasound image generation skills. - Zizui Chen; Mohamed S. Shehata; Minglun Gong; Heather Carnahan; Adam Dubrowski; Andrew J. Smith (IVCNZ, 2015)

A semi-automated technique for internal jugular vein segmentation in ultrasound images using active contours. - Ebrahim Karami; Mohamed S. Shehata; Peter F. McGuire; Andrew J. Smith (BHI, 2016)

StableFlow: A novel real-time method for digital video stabilization. - Abdelrahman Ahmed; Mohamed S. Shehata (ICPR, 2016)

A novel method for segmenting moving objects in aerial imagery using matrix recovery and physical spring model. - Agwad ElTantawy; Mohamed S. Shehata (ICPR, 2016)

Performance Evaluation of 3D Keypoints and Descriptors. - Zizui Chen; Stephen Czarnuch; Andrew J. Smith; Mohamed S. Shehata (ISVC (2), 2016)

Features of Internal Jugular Vein Contours for Classification. - Jordan P. Smith; Mohamed S. Shehata; Peter F. McGuire; Andrew J. Smith (ISVC (2), 2016)

Physiological Features of the Internal Jugular Vein from B-Mode Ultrasound Imagery. - Jordan P. Smith; Mohamed S. Shehata; Ramsey G. Powell; Peter F. McGuire; Andrew J. Smith (ISVC (2), 2016)

Towards High-Quality Parallel Stabilization. - Abdelrahman Ahmed; Mohamed S. Shehata (VISIGRAPP (3: VISAPP), 2016)

Black Ice detection system using Kinect. - Younis E. Abdalla; M. Tariq Iqbal; Mohamed S. Shehata (CCECE, 2017)

Tracking of the internal jugular vein in ultrasound images using optical flow. - Ebrahim Karami; Mohamed S. Shehata; Andrew J. Smith (CCECE, 2017)

AEIPA: Docker-based system for Automated Evaluation of Image Processing Algorithms. - Acil Abdel Naby; Mohamed S. Shehata; Theodore S. Norvell (CCECE, 2017)

Effect of Denoising Algorithms on Video Stabilization. - Abdelrahman Ahmed; Mohamed S. Shehata (CRV, 2017)

Segmentation and tracking of inferior vena cava in ultrasound images using a novel polar active contour algorithm. - Ebrahim Karami; Mohamed S. Shehata; Andrew J. Smith (GlobalSIP, 2017)

Delay analysis for drone-based vehicular Ad-Hoc Networks. - Hafez Seliem; Mohamed Hossam Ahmed; Reza Shahidi; Mohamed S. Shehata (PIMRC, 2017)

Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey. - Adam B. Noel; Abderrazak Abdaoui; Tarek Elfouly; Mohamed Hossam Ahmed; Ahmed Badawy; Mohamed S. Shehata (IEEE Commun. Surv. Tutorials, 2017)

Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images. - Ebrahim Karami; Siva Prasad; Mohamed S. Shehata (CoRR, 2017)

Image Identification Using SIFT Algorithm: Performance Analysis against Different Image Deformations. - Ebrahim Karami; Mohamed S. Shehata; Andrew J. Smith (CoRR, 2017)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking. - Mohamed H. Abdelpakey; Mohamed S. Shehata; Mostafa M. Mohamed (ISVC, 2018)

Adaptive Framework for Robust Visual Tracking. - Mohamed H. Abdelpakey; Mohamed S. Shehata; Mostafa M. Mohamed; Minglun Gong (IEEE Access, 2018)

Drone-Based Highway-VANET and DAS Service. - Hafez Seliem; Reza Shahidi; Mohamed Hossam Ahmed; Mohamed S. Shehata (IEEE Access, 2018)

Estimation and tracking of AP-diameter of the inferior vena cava in ultrasound images using a novel active circle algorithm. - Ebrahim Karami; Mohamed S. Shehata; Andrew J. Smith (Comput. Biol. Medicine, 2018)

Probability Distribution of the Re-Healing Delay in a One-Way Highway VANET. - Hafez Seliem; Reza Shahidi; Mohamed Hossam Ahmed; Mohamed S. Shehata (IEEE Commun. Lett., 2018)

MARO: matrix rank optimization for the detection of small-size moving objects from aerial camera platforms. - Agwad ElTantawy; Mohamed S. Shehata (Signal Image Video Process., 2018)

Detecting Relative Changes in Circulating Blood Volume using Ultrasound and Simulation. - Javad Rahimipour Anaraki; Saeed Samet; Mohamed S. Shehata; Kris Aubrey-Bassler; Ebrahim Karami; Saba Samet; Andrew Smith 003 (CBMS, 2019)

DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking. - Mohamed H. Abdelpakey; Mohamed S. Shehata (ISVC (1), 2019)

Copy-Move Forgery Detection and Localization Using a Generative Adversarial Network and Convolutional Neural-Network. - Younis E. Abdalla; M. Tariq Iqbal; Mohamed S. Shehata (Inf., 2019)

Visual Saliency Prediction Based on Deep Learning. - Bashir Ghariba; Mohamed S. Shehata; Peter F. McGuire (Inf., 2019)

Semi-Automatic Algorithms for Estimation and Tracking of AP-Diameter of the IVC in Ultrasound Images. - Ebrahim Karami; Mohamed S. Shehata; Andrew Smith 003 (J. Imaging, 2019)

Convolutional Neural Network for Copy-Move Forgery Detection. - Younis E. Abdalla; M. Tariq Iqbal; Mohamed S. Shehata (Symmetry, 2019)

KRMARO: Aerial Detection of Small-Size Ground Moving Objects Using Kinematic Regularization and Matrix Rank Optimization. - Agwad ElTantawy; Mohamed S. Shehata (IEEE Trans. Circuits Syst. Video Technol., 2019)

Adaptive Polar Active Contour for Segmentation and Tracking in Ultrasound Videos. - Ebrahim Karami; Mohamed S. Shehata; Andrew Smith 003 (IEEE Trans. Circuits Syst. Video Technol., 2019)

An Accelerated Sequential PCP-Based Method for Ground-Moving Objects Detection From Aerial Videos. - Agwad ElTantawy; Mohamed S. Shehata (IEEE Trans. Image Process., 2019)

On the End-to-End Delay in a One-Way VANET. - Hafez Seliem; Reza Shahidi; Mohamed Hossam Ahmed; Mohamed S. Shehata (IEEE Trans. Veh. Technol., 2019)

Performance Evaluation of Pre-Trained CNN Models for Visual Saliency Prediction. - Bashir Ghariba; Mohamed S. Shehata; Peter F. McGuire (CCECE, 2020)

MODSiam: Moving Object Detection using Siamese Networks. - Islam I. Osman; Mohamed S. Shehata (CCECE, 2020)

NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function. - Mohamed H. Abdelpakey; Mohamed S. Shehata (CoRR, 2020)

Deep Learning-Based Crowd Scene Analysis Survey. - Sherif Elbishlawi; Mohamed H. Abdelpakey; Agwad ElTantawy; Mohamed S. Shehata; Mostafa M. Mohamed (J. Imaging, 2020)

A novel fully convolutional network for visual saliency prediction. - Bashir Ghariba; Mohamed S. Shehata; Peter F. McGuire (PeerJ Comput. Sci., 2020)

Local null space pursuit for real-time moving object detection in aerial surveillance. - Agwad ElTantawy; Mohamed S. Shehata (Signal Image Video Process., 2020)

DP-Siam: Dynamic Policy Siamese Network for Robust Object Tracking. - Mohamed H. Abdelpakey; Mohamed S. Shehata (IEEE Trans. Image Process., 2020)

Accurate Probability Distribution Calculation for Drone-Based Highway-VANETs. - Hafez Seliem; Reza Shahidi; Mohamed Hossam Ahmed; Mohamed S. Shehata (IEEE Trans. Veh. Technol., 2020)

GroupNet: Detecting the Social Distancing Violation using Object Tracking in Crowdscene. - Anthony Boyko; Mohamed H. Abdelpakey; Mohamed S. Shehata (CCECE, 2021)

Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study. - Mohamad Khajezade; Milad Ramezankhani; Fatemeh Hendijani Fard; Mohamed S. Shehata; Abbas S. Milani (CCECE, 2021)

The Ninth Visual Object Tracking VOT2021 Challenge Results. - Matej Kristan; Jirí Matas; Ales Leonardis; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Jani Käpylä; et al. (ICCVW, 2021)

TransBlast: Self-Supervised Learning Using Augmented Subspace with Transformer for Background/Foreground Separation. - Islam I. Osman; Mohamed H. Abdelpakey; Mohamed S. Shehata (ICCVW, 2021)

SocialNet: Detecting Social Distancing Violations in Crowd Scene on IoT devices. - Sherif Elbishlawi; Mohamed H. Abdelpakey; Mohamed S. Shehata (WF-IoT, 2021)

DETECTren: Vehicle Object Detection Using Self-Supervised Learning based on Light-Weight Network for Low-Power Devices. - Hans Fuhrmann; Anthony Boyko; Mohamed H. Abdelpakey; Mohamed S. Shehata (WF-IoT, 2021)

Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning. - Reece Walsh; Mohamed H. Abdelpakey; Mohamed S. Shehata; Mostafa M. Mohamed (CoRR, 2021)

Task-based parameter isolation for foreground segmentation without catastrophic forgetting using multi-scale region and edges fusion network. - Islam I. Osman; Agwad ElTantawy; Mohamed S. Shehata (Image Vis. Comput., 2021)

CORONA-Net: Diagnosing COVID-19 from X-ray Images Using Re-Initialization and Classification Networks. - Sherif Elbishlawi; Mohamed H. Abdelpakey; Mohamed S. Shehata; Mostafa M. Mohamed (J. Imaging, 2021)

Self-supervised Learning for Foreground Segmentation with a Few Amount of Labeled Images Using Transformers. - Islam I. Osman; Mohamed S. Shehata (AISI, 2022)

Few-Shot Learning Network for Moving Object Detection Using Exemplar-Based Attention Map. - Islam I. Osman; Mohamed S. Shehata (ICIP, 2022)

SATSal: A Multi-Level Self-Attention Based Architecture for Visual Saliency Prediction. - Marouane Tliba; Mohamed Amine Kerkouri; Bashir Ghariba; Aladine Chetouani; Arzu Çöltekin; Mohamed S. Shehata; Alessandro Bruno (IEEE Access, 2022)

Salient object detection using semantic segmentation technique. - Bashir Ghariba; Mohamed S. Shehata; Peter F. McGuire (Int. J. Comput. Vis. Robotics, 2022)

NullSpaceRDAR: Regularized discriminative adaptive nullspace for object tracking. - Mohamed H. Abdelpakey; Mohamed S. Shehata (Image Vis. Comput., 2022)

Distilling Part-whole Hierarchical Knowledge from a Huge Pretrained Class Agnostic Segmentation Framework. - Ahmed Radwan; Mohamed S. Shehata (ICCV (Workshops), 2023)

Domain Generalization for Foreground Segmentation Using Federated Learning. - Islam I. Osman; Islam Abdelfattah; Mohamed S. Shehata (ISVC (1), 2023)

Regularized Meta-Training with Embedding Mixup for Improved Few-Shot Learning. - Reece Walsh; Mohamed S. Shehata (ISVC (2), 2023)

Nonoverlapping Feature Projection Convolutional Neural Network With Differentiable Loss Function. - Mohamed H. Abdelpakey; Mohamed S. Shehata (IEEE Trans. Artif. Intell., 2023)

Masked Embedding Modeling With Rapid Domain Adjustment for Few-Shot Image Classification. - Reece Walsh; Islam I. Osman; Mohamed S. Shehata (IEEE Trans. Image Process., 2023)

Few-Shot Learning Network for Out-of-Distribution Image Classification. - Islam I. Osman; Mohamed S. Shehata (IEEE Trans. Artif. Intell., 2023)

BgSub: A Background Subtraction Model for Effective Moving Object Detection. - Islam I. Osman; Mohamed S. Shehata (ACCV Workshops (1), 2024)

Learn By An Example Transformer For Domain Generalization In Video Object Segmentation. - Islam I. Osman; Mohamed S. Shehata (ICIP, 2024)

MEM: Mask Enhancement Model for Video Object Segmentation. - Islam Abdelfattah; Mohamed S. Shehata (ISVC (1), 2024)

Investigating the Impact of a Foundational Medical Image Model for CT Classification. - Isha Shah; Tim Mammadov; Mohamed Sami Shehata; Rasika Rajapakshe (ISVC (2), 2024)

Investigating the Efficacy of Large Language Models for Code Clone Detection. - Mohamad Khajezade; Jie JW Wu; Fatemeh Hendijani Fard; Gema Rodríguez-Pérez; Mohamed Sami Shehata (ICPC, 2024)

Beyond Traditional Single Object Tracking: A Survey. - Omar Abdelaziz; Mohamed S. Shehata; Mohamed Mohamed 015 (CoRR, 2024)

A Novel Bounding Box Regression Method for Single Object Tracking. - Omar Abdelaziz; Mohamed Sami Shehata (CoRR, 2024)

Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation. - Islam I. Osman; Mohamed S. Shehata (CoRR, 2024)

Universal Medical Imaging Model for Domain Generalization with Data Privacy. - Ahmed Radwan; Islam I. Osman; Mohamed S. Shehata (CoRR, 2024)

MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks. - Anubhav Gupta; Islam I. Osman; Mohamed S. Shehata; W. John Braun (CoRR, 2024)

Fully Self-Supervised Out-of-Domain Few-Shot Learning with Masked Autoencoders. - Reece Walsh; Islam I. Osman; Omar Abdelaziz; Mohamed S. Shehata (J. Imaging, 2024)

Evaluating few-shot and contrastive learning methods for code clone detection. - Mohamad Khajezade; Fatemeh H. Fard; Mohamed S. Shehata (Empir. Softw. Eng., 2024)

FedDG-MoE: Test-Time Mixture-of-Experts Fusion for Federated Domain Generalization. - Ahmed Radwan; Mahmoud Soliman; Omar Abdelaziz; Mohamed S. Shehata (CVPR Workshops, 2025)

Mutli-Level Autoencoder: Deep Learning Based Channel Coding and Modulation. - Ahmad Abdel-Qader; Anas Chaaban; Mohamed S. Shehata (IWCMC, 2025)

Learnable Laplacian Embedding Decomposition for One-Stream Visual Object Trackers. - Omar Abdelaziz; Mahmoud Soliman; Mahmoud Alaa; Mohamed S. Shehata (MECO, 2025)

Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification. - Md. Rayhan Ahmed; Mohamed S. Shehata; Patricia Lasserre (Comput. Biol. Medicine, 2025)

DMTrack: learning deformable masked visual representations for single object tracking. - Omar Abdelaziz; Mohamed S. Shehata (Signal Image Video Process., 2025)

Beyond traditional visual object tracking: a survey. - Omar Abdelaziz; Mohamed S. Shehata; Mohamed Mohamed 015 (Int. J. Mach. Learn. Cybern., 2025)

Fedpartwhole: federated domain generalization via consistent part-whole hierarchies. - Ahmed Radwan; Mohamed S. Shehata (Pattern Anal. Appl., 2025)