Stephen H. Gregory

University of Alabama

Papers

1

Total Citations

9

H-Index

1

About

Dr. Stephen H. Gregory is a computer vision researcher whose work focuses on automating large-scale industrial processes. His most-cited paper, "A computer vision pipeline for automatic large-scale inventory tracking" (2021, 9 citations), addresses a critical challenge in enterprise operations—specifically within automotive manufacturing and global supply chains. Gregory developed a full-stack vision pipeline that enables real-time, automatic monitoring and tracking of physical inventory, reducing the need for manual oversight in complex logistical environments. This contribution bridges the gap between theoretical computer vision models and practical, high-stakes industrial applications. While his citation count is still growing, Gregory’s work is notable for its direct impact on operational efficiency in large-scale manufacturing settings. His research demonstrates how computer vision can be deployed to solve tangible, real-world problems in inventory management, making him a promising voice in applied vision systems and industrial automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
9
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
A computer vision pipeline for automatic large-scale inventory tracking
9 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Alabama

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago