2 citations · 3 across the 9 of their papers we have counts for
11 papers
Analytical and Convolutional Neural Network-Based Motion-Vector Propagation for Efficient Video Object Detection
Ashiyana Abdul Majeed, Mahmoud Meribout, Neethu Joseph
Continuous video analytics requires accurate localization at low latency within embedded power budgets. This paper presents a hardware-software design methodology that reuses codec…
Edge Physical AI Deployment of Vision Transformers on Heterogeneous Edge GPU Targeting Autonomous Vehicles
Ashiyana Abdul Majeed, Mahmoud Meribout, Neethu Joseph +2
Physical AI systems, such as autonomous vehicles and intelligent machines, require transformer-based perception models that satisfy stringent edge latency and energy constraints. H…
Edge GPU Aware Multiple AI Model Pipeline for Accelerated MRI Reconstruction and Analysis
Ashiyana Abdul Majeed, Mahmoud Meribout, Safa Mohammed Sali
Advancements in AI have greatly enhanced the medical imaging process, making it quicker to diagnose patients. However, very few have investigated the optimization of a multi-model…
Hardware Acceleration in Portable MRIs: State of the Art and Future Prospects
Omar Al Habsi, Safa Mohammed Sali, Anis Meribout +3
There is a growing interest in portable MRI (pMRI) systems for point-of-care imaging, particularly in remote or resource-constrained environments. However, the computational comple…
Real-time Object Detection and Associated Hardware Accelerators Targeting Autonomous Vehicles: A Review
Safa Sali, Anis Meribout, Ashiyana Majeed +4
The efficiency of object detectors depends on factors like detection accuracy, processing time, and computational resources. Processing time is crucial for real-time applications,…
Real Time FPGA Based Transformers & VLMs for Vision Tasks: SOTA Designs and Optimizations
Safa Mohammed Sali, Mahmoud Meribout, Ashiyana Abdul Majeed
Transformers and vision-language models (VLMs) have emerged as dominant architectures in computer vision and multimodal AI, offering state-of-the-art performance in tasks such as i…
Real Time FPGA Based CNNs for Detection, Classification, and Tracking in Autonomous Systems: State of the Art Designs and Optimizations
Safa Mohammed Sali, Mahmoud Meribout, Ashiyana Abdul Majeed
This paper presents a comprehensive review of recent advances in deploying convolutional neural networks (CNNs) for object detection, classification, and tracking on Field Programm…
Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
Ashiyana Abdul Majeed, Mahmoud Meribout, Safa Mohammed Sali
In recent years, the development of specialized edge computing devices has significantly increased, driven by the growing demand for AI models. These devices, such as the NVIDIA Je…
Edge-GPU Based Face Tracking for Face Detection and Recognition Acceleration
Asma Baobaid, Mahmoud Meribout
Cost-effective machine vision systems dedicated to real-time and accurate face detection and recognition in public places are crucial for many modern applications. However, despite…
Leveraging Simultaneous Usage of Edge GPU Hardware Engines for Video Face Detection and Recognition
Asma Baobaid, Mahmoud Meribout
Video face detection and recognition in public places at the edge is required in several applications, such as security reinforcement and contactless access to authorized venues. T…
Hardware Accelerators for Autonomous Cars: A Review
Ruba Islayem, Fatima Alhosani, Raghad Hashem +2
Autonomous Vehicles (AVs) redefine transportation with sophisticated technology, integrating sensors, cameras, and intricate algorithms. Implementing machine learning in AV percept…