4 citations · 7 across the 9 of their papers we have counts for
11 papers
Synthetic-to-Real Text-Based Person Anomaly Search via Multi-Model Retrieval Fusion and Cross-Encoder Reranking
Eugene Denteh, Blessing Agyei Kyem, Andrews Danyo +5
Text-based person anomaly search requires a model to retrieve individuals from a large image gallery using natural-language descriptions of both appearance and behavior. This task…
StateBridge: Phase- and Track-Grounded Reasoning for Synthetic-to-Real Traffic Video Captioning and VQA
Blessing Agyei Kyem, Richard Dzinyela, Joshua Kofi Asamoah +5
Traffic safety videos provide rich evidence for understanding interactions between pedestrians and vehicles, but synthetic-to-real evaluation makes this setting challenging because…
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…
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…
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…
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…
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…
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…
Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques
Anthony Dontoh, Stephanie Ivey, Logan Sirbaugh +2
Distracted driving continues to be a significant cause of road traffic injuries and fatalities worldwide, even with advancements in driver monitoring technologies. Recent developme…
An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images
Andrews Danyo, Anthony Dontoh, Armstrong Aboah
Accurately predicting the Pavement Condition Index (PCI), a measure of roadway conditions, from pavement images is crucial for infrastructure maintenance. This study proposes an en…
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…