A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees. - Armstrong Aboah; Maged Shoman; Vishal Mandal; Sayedomidreza Davami; Yaw Adu-Gyamfi; Anuj Sharma (CoRR, 2021)

A Region-Based Deep Learning Approach to Automated Retail Checkout. - Maged Shoman; Armstrong Aboah; Alex Morehead; Ye Duan; Abdulateef Daud; Yaw Adu-Gyamfi (CVPR Workshops, 2022)

Multi-Purpose, Multi-Step Deep Learning Framework for Network-Level Traffic Flow Prediction. - Maged Shoman; Mark Amo-Boateng; Yaw Adu-Gyamfi (Adv. Data Sci. Adapt. Anal., 2022)

Exploring Preferences for Transportation Modes in the City of Munich after the Recent Incorporation of Ride-Hailing Companies. - Maged Shoman; Ana Tsui Moreno (CoRR, 2022)

GC-GRU-N for Traffic Prediction using Loop Detector Data. - Maged Shoman; Armstrong Aboah; Abdulateef Daud; Yaw Adu-Gyamfi (CoRR, 2022)

Accelerating Statewide Connected Vehicles Big (Sensor Fusion) Data ETL Pipelines on GPUs. - Abdul Rashid Mussah; Maged Shoman; Mark Amo-Boateng; Yaw Adu-Gyamfi (CoRR, 2023)

Quranic Conversations: Developing a Semantic Search tool for the Quran using Arabic NLP Techniques. - Yasser Shohoud; Maged Shoman; Sarah Abdelazim (CoRR, 2023)

Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis. - Maged Shoman; Dongdong Wang; Armstrong Aboah; Mohamed A. Abdel-Aty (CVPR Workshops, 2024)

Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets. - Dai Quoc Tran; Armstrong Aboah; Yuntae Jeon; Maged Shoman; Minsoo Park; Seunghee Park (CVPR Workshops, 2024)

Graph Convolutional Gated Recurrent Unit Network for Traffic Prediction Using Loop Detector Data. - Maged Shoman; Armstrong Aboah; Abdulateef Daud; Yaw Adu-Gyamfi (Adv. Data Sci. Adapt. Anal., 2024)

Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists' Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images. - Maged Shoman; Tarek Ghoul; Gabriel Lanzaro; Tala Alsharif; Suliman A. Gargoum; Tarek Sayed (Algorithms, 2024)

Interpreting the Unexpected: A Multimodal Framework for Out-of-Label Hazard Detection and Explanation in Autonomous Driving. - Mahdi Abbariki; Maged Shoman (WACV (Workshops), 2025)

Open-World Hazard Detection and Captioning for Autonomous Driving with a Unified Multimodal Pipeline. - Parisa Hatami; Maged Shoman; Mina Sartipi (WACV (Workshops), 2025)

Image, Text, and Speech Data Augmentation using Multimodal LLMs for Deep Learning: A Survey. - Ranjan Sapkota; Shaina Raza; Maged Shoman; Paudel Achyut; Manoj Karkee (CoRR, 2025)

Who is Responsible? The Data, Models, Users or Regulations? Responsible Generative AI for a Sustainable Future. - Shaina Raza; Rizwan Qureshi; Anam Zahid; Joseph Fioresi; Ferhat Sadak; Muhammad Saeed; Ranjan Sapkota; Aditya Jain; Anas Zafar; Muneeb Ul Hassan 001; Aizan Zafar; Hasan Maqbool; et al. (CoRR, 2025)

A Layered Self-Supervised Knowledge Distillation Framework for Efficient Multimodal Learning on the Edge. - Tarique Dahri; Zulfiqar Ali Memon; Zhenyu Yu; Mohd Yamani Idna Idris; Sheheryar Khan; Sadiq Ahmad; Maged Shoman; Saddam Aziz; Rizwan Qureshi (CoRR, 2025)

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact. - Rizwan Qureshi; Ranjan Sapkota; Abbas Shah; Amgad Muneer; Anas Zafar; Ashmal Vayani; Maged Shoman; Abdelrahman B. M. Eldaly; Kai Zhang; Ferhat Sadak; Shaina Raza; Xinqi Fan; et al. (CoRR, 2025)

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; Chetan Badgujar; Upesh Nepal; Alwin Poulose; Peter Zeno; Uday Bhanu Prakash Vaddevolu; Sheheryar Khan; Maged Shoman; Hong Yan 001; Manoj Karkee (Artif. Intell. Rev., 2025)