Armstrong Aboah

According to our database, Armstrong Aboah authored at least 32 papers between 2020 and 2024.

Collaborative distances:

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

2024

PaveSAM Segment Anything for Pavement Distress.

Neema Jakisa Owor, Yaw Adu-Gyamfi, Armstrong Aboah, Mark Amo-Boateng

CoRR, 2024

Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets.

Blessing Agyei Kyem, Eugene Kofi Okrah Denteh, Joshua Kofi Asamoah, Kenneth Adomako Tutu, Armstrong Aboah

CoRR, 2024

PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation.

Blessing Agyei Kyem, Eugene Kofi Okrah Denteh, Joshua Kofi Asamoah, Armstrong Aboah

CoRR, 2024

3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data.

Linlin Zhang, Xiang Yu, Armstrong Aboah, Yaw Adu-Gyamfi

CoRR, 2024

DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding.

John Owusu Duah, Armstrong Aboah, Stephen Osafo-Gyamfi

IEEE Access, 2024

A Novel FHWA-Compliant Dataset for Granular Vehicle Detection and Classification.

Elizabeth Arthur, Armstrong Aboah, Ying Huang

IEEE Access, 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

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification.

Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci

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

Image2PCI - A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images.

Neema Jakisa Owor, Hang Du, Abdulateef Daud, Armstrong Aboah, Yaw Adu-Gyamfi

CoRR, 2023

Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation.

Abdulateef Daud, Mark Amo-Boateng, Neema Jakisa Owor, Armstrong Aboah, Yaw Adu-Gyamfi

CoRR, 2023

GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification.

Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci

CoRR, 2023

GazeSAM: What You See is What You Segment.

Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci

CoRR, 2023

Fine-Tuning YOLOv5 with Genetic Algorithm For Helmet Violation Detection.

Elham Soltanikazemi, Armstrong Aboah, Elizabeth Arthur, Bijaya Kumar Hatuwal

CoRR, 2023

SigSegment: A Signal-Based Segmentation Algorithm for Identifying Anomalous Driving Behaviours in Naturalistic Driving Videos.

Kelvin Kwakye, Younho Seong, Armstrong Aboah, Sun Yi

CoRR, 2023

Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning.

Geoffery Agorku, Divine Agbobli, Vuban Chowdhury, Kwadwo Amankwah-Nkyi, Adedolapo Ogungbire, Portia Ankamah Lartey, Armstrong Aboah

CoRR, 2023

AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment.

Armstrong Aboah, Abdul Rashid Mussah, Yaw Adu-Gyamfi

CoRR, 2023

GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model.

Bin Wang, Armstrong Aboah, Zheyuan Zhang, Hongyi Pan, Ulas Bagci

Proceedings of the Gaze Meets Machine Learning Workshop, 2023

Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8.

Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos.

Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5.

Elham Soltanikazemi, Ashwin Dhakal, Bijaya Kumar Hatuwal, Imad Eddine Toubal, Armstrong Aboah, Kannappan Palaniappan

Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022

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

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

CoRR, 2022

Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification.

Armstrong Aboah, Yaw Adu-Gyamfi, Senem Velipasalar Gursoy, Jennifer Merickel, Matthew Rizzo, Anuj Sharma

CoRR, 2022

The 1st Data Science for Pavements Challenge.

Ashkan Behzadian, Tanner Wambui Muturi, Tianjie Zhang, Hongmin Kim, Amanda Mullins, Yang Lu, Neema Jakisa Owor, Yaw Adu-Gyamfi, William G. Buttlar, Hamed Majidifard, Armstrong Aboah, David Mensching, Robert Spragg, Matthew Corrigan, Jack Youtchef, Dave Eshan

CoRR, 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

Identifying the Factors that Influence Urban Public Transit Demand.

Armstrong Aboah, Lydia Johnson, Setul Shah

CoRR, 2021

Comparative Analysis of Machine Learning Models for Predicting Travel Time.

Armstrong Aboah, Elizabeth Arthur

CoRR, 2021

Mobile Sensing for Multipurpose Applications in Transportation.

Armstrong Aboah, Michael Boeding, Yaw Adu-Gyamfi

CoRR, 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

A Vision-Based System for Traffic Anomaly Detection Using Deep Learning and Decision Trees.

Armstrong Aboah

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding.

Armstrong Aboah, Yaw Adu-Gyamfi

Adv. Data Sci. Adapt. Anal., 2020