305 citations · 312 across the 4 of their papers we have counts for
9 papers
Deep Machine Learning Based Egyptian Vehicle License Plate Recognition Systems
Mohamed Shehata, Mohamed Taha Abou-Kreisha, Hany Elnashar
Automated Vehicle License Plate (VLP) detection and recognition have ended up being a significant research issue as of late. VLP localization and recognition are some of the most e…
NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function
Mohamed H. Abdelpakey, Mohamed S. Shehata
We propose NullSpaceNet, a novel network that maps from the pixel level input to a joint-nullspace (as opposed to the traditional feature space), where the newly learned joint-null…
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking
Mohamed H. Abdelpakey, Mohamed S. Shehata
Visual object tracking is a fundamental task in the field of computer vision. Recently, Siamese trackers have achieved state-of-the-art performance on recent benchmarks. However, S…
Vehicles Detection Based on Background Modeling
Mohamed Shehata, Reda Abo-Al-Ez, Farid Zaghlool +1
Background image subtraction algorithm is a common approach which detects moving objects in a video sequence by finding the significant difference between the video frames and the…
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed
Convolutional Siamese neural networks have been recently used to track objects using deep features. Siamese architecture can achieve real time speed, however it is still difficult…
Estimation and Tracking of AP-diameter of the Inferior Vena Cava in Ultrasound Images Using a Novel Active Circle Algorithm
Ebrahim Karami, Mohamed Shehata, Andrew Smith
Medical research suggests that the anterior-posterior (AP)-diameter of the inferior vena cava (IVC) and its associated temporal variation as imaged by bedside ultrasound is useful…