Maged Shoman

According to our database, Maged Shoman authored at least 18 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Manoj Karkee

Artif. Intell. Rev., September, 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, Ravid Shwartz-Ziv, Hong Yan, Vinjia Jain, Aman Chadha, Manoj Karkee, Jia Wu, Seyedali Mirjalili

CoRR, July, 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, June, 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, Aizan Zafar, Hasan Maqbool, Ashmal Vayani, Jia Wu, Maged Shoman

CoRR, February, 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, January, 2025

Open-World Hazard Detection and Captioning for Autonomous Driving with a Unified Multimodal Pipeline.

Parisa Hatami, Maged Shoman, Mina Sartipi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Interpreting the Unexpected: A Multimodal Framework for Out-of-Label Hazard Detection and Explanation in Autonomous Driving.

Mahdi Abbariki, Maged Shoman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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, May, 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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis.

Maged Shoman, Dongdong Wang, Armstrong Aboah, Mohamed A. Abdel-Aty

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Quranic Conversations: Developing a Semantic Search tool for the Quran using Arabic NLP Techniques.

Yasser Shohoud, Maged Shoman, Sarah Abdelazim

CoRR, 2023

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

2022

GC-GRU-N for Traffic Prediction using Loop Detector Data.

Maged Shoman, Armstrong Aboah, Abdulateef Daud, Yaw Adu-Gyamfi

CoRR, 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

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

A Region-Based Deep Learning Approach to Automated Retail Checkout.

Maged Shoman, Armstrong Aboah, Alex Morehead, Ye Duan, Abdulateef Daud, Yaw Adu-Gyamfi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

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