Blessing Agyei Kyem

Orcid: 0009-0006-6360-6386

According to our database1, Blessing Agyei Kyem authored at least 17 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Hybrid Congestion Classification Framework Using Flow-Guided Attention and Empirical Mode Decomposition.
CoRR, May, 2026

Class-Adaptive Cooperative Perception for Multi-Class LiDAR-based 3D Object Detection in V2X Systems.
CoRR, April, 2026

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment.
CoRR, April, 2026

2025
PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification.
CoRR, December, 2025

Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally Collected Data Sets.
Adv. Data Sci. Adapt. Anal., December, 2025

Self-Supervised Multi-Scale Transformer with Attention-Guided Fusion for Efficient Crack Detection.
CoRR, October, 2025

Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery.
CoRR, June, 2025

Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations.
CoRR, March, 2025

Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images.
CoRR, January, 2025

SAAM-ReflectNet: Sign-aware attention-based multitasking framework for integrated traffic sign detection and retroreflectivity estimation.
Expert Syst. Appl., 2025

A Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
Power-Synth: Synthetic Dataset for Power Line Inspection.
Dataset, October, 2024

Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets.
CoRR, 2024

PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation.
CoRR, 2024

Weather-Adaptive Synthetic Data Generation for Enhanced Power Line Inspection Using StarGAN.
IEEE Access, 2024


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