Armstrong Aboah

Orcid: 0000-0002-1605-1545

According to our database1, Armstrong Aboah authored at least 23 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data.
CoRR, 2024

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Image2PCI - A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images.
CoRR, 2023

Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation.
CoRR, 2023

GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification.
CoRR, 2023

GazeSAM: What You See is What You Segment.
CoRR, 2023

Fine-Tuning YOLOv5 with Genetic Algorithm For Helmet Violation Detection.
CoRR, 2023

SigSegment: A Signal-Based Segmentation Algorithm for Identifying Anomalous Driving Behaviours in Naturalistic Driving Videos.
CoRR, 2023

Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning.
CoRR, 2023

AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment.
CoRR, 2023

Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8.
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.
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.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022
GC-GRU-N for Traffic Prediction using Loop Detector Data.
CoRR, 2022

Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification.
CoRR, 2022

The 1st Data Science for Pavements Challenge.
CoRR, 2022

A Region-Based Deep Learning Approach to Automated Retail Checkout.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Identifying the Factors that Influence Urban Public Transit Demand.
CoRR, 2021

Comparative Analysis of Machine Learning Models for Predicting Travel Time.
CoRR, 2021

Mobile Sensing for Multipurpose Applications in Transportation.
CoRR, 2021

A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees.
CoRR, 2021

A Vision-Based System for Traffic Anomaly Detection Using Deep Learning and Decision Trees.
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.
Adv. Data Sci. Adapt. Anal., 2020


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