collaborators

9 papers

cs.CV2025

PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification

Blessing Agyei Kyem, Joshua Kofi Asamoah, Anthony Dontoh +3

Automated pavement defect detection often struggles to generalize across diverse real-world conditions due to the lack of standardized datasets. Existing datasets differ in annotat…

cs.CV2025

A Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance

Neema Jakisa Owor, Joshua Kofi Asamoah, Tanner Wambui Muturi +5

Fisheye cameras offer an efficient solution for wide-area traffic surveillance by capturing large fields of view from a single vantage point. However, the strong radial distortion…

cs.CV2025

Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning

Tanner Muturi, Blessing Agyei Kyem, Joshua Kofi Asamoah +5

Spatial reasoning in large-scale 3D environments such as warehouses remains a significant challenge for vision-language systems due to scene clutter, occlusions, and the need for p…

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

Self-Supervised Multi-Scale Transformer with Attention-Guided Fusion for Efficient Crack Detection

Blessing Agyei Kyem, Joshua Kofi Asamoah, Eugene Denteh +2

Pavement crack detection has long depended on costly and time-intensive pixel-level annotations, which limit its scalability for large-scale infrastructure monitoring. To overcome…

cs.CV2025

Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery

Eugene Kofi Okrah Denteh, Andrews Danyo, Joshua Kofi Asamoah +2

This study presents a novel demographics informed deep learning framework designed to forecast urban spatial transformations by jointly modeling geographic satellite imagery, socio…