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

5 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis

Blessing Agyei Kyem, Neema Jakisa Owor, Andrews Danyo +6

Traffic safety analysis requires complex video understanding to capture fine-grained behavioral patterns and generate comprehensive descriptions for accident prevention. In this wo…

cs.CV2025

Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations

Eugene Denteh, Andrews Danyo, Joshua Kofi Asamoah +3

Transportation planning plays a critical role in shaping urban development, economic mobility, and infrastructure sustainability. However, traditional planning methods often strugg…

cs.CV20245 cited

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 +2

Road infrastructure maintenance in developing countries faces unique challenges due to resource constraints and diverse environmental factors. This study addresses the critical nee…

cs.CV20242 cited

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 +1

This research introduces the first multimodal approach for pavement condition assessment, providing both quantitative Pavement Condition Index (PCI) predictions and qualitative des…