274 citations · 305 across the 14 of their papers we have counts for
14 papers
2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving
Ali K. AlShami, Ryan Rabinowitz, Maged Shoman +9
As the computer vision community advances autonomous driving algorithms, integrating vision-based insights with sensor data remains essential for improving perception, decision mak…
Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact
Rizwan Qureshi, Ranjan Sapkota, Abbas Shah +16
Can machines truly think, reason and act in domains like humans? This enduring question continues to shape the pursuit of Artificial General Intelligence (AGI). Despite the growing…
A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge
Tarique Dahri, Zulfiqar Ali Memon, Zhenyu Yu +6
We introduce Layered Self-Supervised Knowledge Distillation (LSSKD) framework for training compact deep learning models. Unlike traditional methods that rely on pre-trained teacher…
Who is Responsible? The Data, Models, Users or Regulations? A Comprehensive Survey on Responsible Generative AI for a Sustainable Future
Shaina Raza, Rizwan Qureshi, Anam Zahid +14
Generative AI is rapidly moving from research to deployment, elevating the need for responsible development, evaluation, and governance. We conduct a PRISMA guided review of 232 st…
Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey
Ranjan Sapkota, Shaina Raza, Maged Shoman +2
In the past five years, research has shifted from traditional Machine Learning (ML) and Deep Learning (DL) approaches to leveraging Large Language Models (LLMs) , including multimo…
YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series
Ranjan Sapkota, Marco Flores Calero, Rizwan Qureshi +9
This review systematically examines the progression of the You Only Look Once (YOLO) object detection algorithms from YOLOv1 to the recently unveiled YOLOv12. Employing a reverse c…
Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets
Dai Quoc Tran, Armstrong Aboah, Yuntae Jeon +3
This study addresses the evolving challenges in urban traffic monitoring detection systems based on fisheye lens cameras by proposing a framework that improves the efficacy and acc…
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis
Maged Shoman, Dongdong Wang, Armstrong Aboah +1
This paper introduces our solution for Track 2 in AI City Challenge 2024. The task aims to solve traffic safety description and analysis with the dataset of Woven Traffic Safety (W…
Quranic Conversations: Developing a Semantic Search tool for the Quran using Arabic NLP Techniques
Yasser Shohoud, Maged Shoman, Sarah Abdelazim
The Holy Book of Quran is believed to be the literal word of God (Allah) as revealed to the Prophet Muhammad (PBUH) over a period of approximately 23 years. It is the book where Go…
Accelerating Statewide Connected Vehicles Big (Sensor Fusion) Data ETL Pipelines on GPUs
Abdul Rashid Mussah, Maged Shoman, Mark Amo-Boateng +1
Real-time traffic and sensor data from connected vehicles have the potential to provide insights that will lead to the immediate benefit of efficient management of the transportati…
GC-GRU-N for Traffic Prediction using Loop Detector Data
Maged Shoman, Armstrong Aboah, Abdulateef Daud +1
Because traffic characteristics display stochastic nonlinear spatiotemporal dependencies, traffic prediction is a challenging task. In this paper develop a graph convolution gated…
A Region-Based Deep Learning Approach to Automated Retail Checkout
Maged Shoman, Armstrong Aboah, Alex Morehead +3
Automating the product checkout process at conventional retail stores is a task poised to have large impacts on society generally speaking. Towards this end, reliable deep learning…
Exploring Preferences for Transportation Modes in the City of Munich after the Recent Incorporation of Ride-Hailing Companies
Maged Shoman, Ana Tsui Moreno
The growth of ridehailing (RH) companies over the past few years has affected urban mobility in numerous ways. Despite widespread claims about the benefits of such services, limite…
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
Armstrong Aboah, Maged Shoman, Vishal Mandal +3
Any intelligent traffic monitoring system must be able to detect anomalies such as traffic accidents in real time. In this paper, we propose a Decision-Tree - enabled approach powe…