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ORCIDArmstrong Aboah
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2020 – today
- 2025
[i26]Anthony Dontoh, Stephanie Ivey, Logan Sirbaugh, Armstrong Aboah:
A Review Paper of the Effects of Distinct Modalities and ML Techniques to Distracted Driving Detection. CoRR abs/2501.11758 (2025)- [i25]Blessing Agyei Kyem, Joshua Kofi Asamoah, Armstrong Aboah:
Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images. CoRR abs/2501.14413 (2025) - 2024
- [j5]Maged Shoman
, Armstrong Aboah, Abdulateef Daud, Yaw Adu-Gyamfi:
Graph Convolutional Gated Recurrent Unit Network for Traffic Prediction Using Loop Detector Data. Adv. Data Sci. Adapt. Anal. 16(1&2): 2450001:1-2450001:16 (2024) - [j4]John Owusu Duah, Armstrong Aboah, Stephen Osafo-Gyamfi:
DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding. IEEE Access 12: 60628-60640 (2024) - [j3]Elizabeth Arthur, Armstrong Aboah, Ying Huang:
A Novel FHWA-Compliant Dataset for Granular Vehicle Detection and Classification. IEEE Access 12: 158505-158518 (2024) - [j2]Blessing Agyei Kyem, Joshua Kofi Asamoah, Ying Huang, Armstrong Aboah:
Weather-Adaptive Synthetic Data Generation for Enhanced Power Line Inspection Using StarGAN. IEEE Access 12: 193882-193901 (2024) - [c9]Dai Quoc Tran, Armstrong Aboah, Yuntae Jeon, Maged Shoman, Minsoo Park, Seunghee Park:
Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets. CVPR Workshops 2024: 7056-7065 - [c8]Maged Shoman, Dongdong Wang, Armstrong Aboah, Mohamed A. Abdel-Aty:
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis. CVPR Workshops 2024: 7125-7133 - [c7]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. WACV 2024: 2183-2192 - [d1]Blessing Agyei Kyem, Joshua Kofi Asamoah, Armstrong Aboah, Ying Huang:
Power-Synth: Synthetic Dataset for Power Line Inspection. IEEE DataPort, 2024
- [i24]Linlin Zhang, Xiang Yu, Armstrong Aboah, Yaw Adu-Gyamfi:
3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data. CoRR abs/2401.06946 (2024) - [i23]Maged Shoman, Dongdong Wang, Armstrong Aboah, Mohamed A. Abdel-Aty:
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis. CoRR abs/2404.08229 (2024) - [i22]Dai Quoc Tran, Armstrong Aboah, Yuntae Jeon, Maged Shoman, Minsoo Park, Seunghee Park:
Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets. CoRR abs/2404.10078 (2024) - [i21]Blessing Agyei Kyem, Eugene Kofi Okrah Denteh, Joshua Kofi Asamoah, Armstrong Aboah:
PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation. CoRR abs/2408.04110 (2024) - [i20]Blessing Agyei Kyem, Eugene Kofi Okrah Denteh, Joshua Kofi Asamoah, Kenneth Adomako Tutu, Armstrong Aboah:
Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets. CoRR abs/2408.05649 (2024) - [i19]Neema Jakisa Owor, Yaw Adu-Gyamfi, Armstrong Aboah, Mark Amo-Boateng:
PaveSAM Segment Anything for Pavement Distress. CoRR abs/2409.07295 (2024) - 2023
- [c6]Elham Soltanikazemi, Ashwin Dhakal, Bijaya Kumar Hatuwal, Imad Eddine Toubal, Armstrong Aboah, Kannappan Palaniappan:
Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5. AIPR 2023: i-x - [c5]Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi:
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. CVPR Workshops 2023: 5350-5358 - [c4]Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi:
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. CVPR Workshops 2023: 5359-5365 - [c3]Bin Wang, Armstrong Aboah, Zheyuan Zhang, Hongyi Pan, Ulas Bagci:
GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model. Gaze Meets ML 2023: 254-265 - [i18]Armstrong Aboah, Abdul Rashid Mussah, Yaw Adu-Gyamfi:
AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment. CoRR abs/2301.09315 (2023) - [i17]Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi:
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. CoRR abs/2304.08256 (2023) - [i16]Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi:
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. CoRR abs/2304.08261 (2023) - [i15]Geoffery Agorku, Divine Agbobli, Vuban Chowdhury, Kwadwo Amankwah-Nkyi, Adedolapo Ogungbire, Portia Ankamah Lartey, Armstrong Aboah:
Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning. CoRR abs/2304.09246 (2023) - [i14]Kelvin Kwakye, Younho Seong, Armstrong Aboah, Sun Yi:
SigSegment: A Signal-Based Segmentation Algorithm for Identifying Anomalous Driving Behaviours in Naturalistic Driving Videos. CoRR abs/2304.09247 (2023) - [i13]Elham Soltanikazemi, Armstrong Aboah, Elizabeth Arthur, Bijaya Kumar Hatuwal:
Fine-Tuning YOLOv5 with Genetic Algorithm For Helmet Violation Detection. CoRR abs/2304.09248 (2023) - [i12]Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci:
GazeSAM: What You See is What You Segment. CoRR abs/2304.13844 (2023) - [i11]Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci:
GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. CoRR abs/2305.18221 (2023) - [i10]Abdulateef Daud, Mark Amo-Boateng, Neema Jakisa Owor, Armstrong Aboah, Yaw Adu-Gyamfi:
Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation. CoRR abs/2310.05321 (2023) - [i9]Neema Jakisa Owor, Hang Du, Abdulateef Daud, Armstrong Aboah, Yaw Adu-Gyamfi:
Image2PCI - A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images. CoRR abs/2310.08538 (2023) - 2022
- [c2]Maged Shoman, Armstrong Aboah, Alex Morehead, Ye Duan, Abdulateef Daud, Yaw Adu-Gyamfi:
A Region-Based Deep Learning Approach to Automated Retail Checkout. CVPR Workshops 2022: 3209-3214 - [i8]Maged Shoman, Armstrong Aboah, Alex Morehead, Ye Duan, Abdulateef Daud, Yaw Adu-Gyamfi:
A Region-Based Deep Learning Approach to Automated Retail Checkout. CoRR abs/2204.08584 (2022) - [i7]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:
The 1st Data Science for Pavements Challenge. CoRR abs/2206.04874 (2022) - [i6]Armstrong Aboah, Yaw Adu-Gyamfi, Senem Velipasalar Gursoy, Jennifer Merickel, Matthew Rizzo, Anuj Sharma:
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification. CoRR abs/2211.06463 (2022) - [i5]Maged Shoman, Armstrong Aboah, Abdulateef Daud, Yaw Adu-Gyamfi:
GC-GRU-N for Traffic Prediction using Loop Detector Data. CoRR abs/2211.08541 (2022) - 2021
- [c1]Armstrong Aboah:
A Vision-Based System for Traffic Anomaly Detection Using Deep Learning and Decision Trees. CVPR Workshops 2021: 4207-4212 - [i4]Armstrong Aboah, Maged Shoman, Vishal Mandal, Sayedomidreza Davami, Yaw Adu-Gyamfi, Anuj Sharma:
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees. CoRR abs/2104.06856 (2021) - [i3]Armstrong Aboah, Michael Boeding, Yaw Adu-Gyamfi:
Mobile Sensing for Multipurpose Applications in Transportation. CoRR abs/2106.10733 (2021) - [i2]Armstrong Aboah, Elizabeth Arthur:
Comparative Analysis of Machine Learning Models for Predicting Travel Time. CoRR abs/2111.08226 (2021) - [i1]Armstrong Aboah, Lydia Johnson, Setul Shah:
Identifying the Factors that Influence Urban Public Transit Demand. CoRR abs/2111.09126 (2021) - 2020
- [j1]Armstrong Aboah, Yaw Adu-Gyamfi:
Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding. Adv. Data Sci. Adapt. Anal. 12(3-4): 2050007:1-2050007:20 (2020)
Coauthor Index
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