Hritik Shyam Gupta
Papers
1
Total Citations
3
H-Index
1
About
Hritik Shyam Gupta is a computer vision researcher whose work focuses on advancing real-time object detection for autonomous systems and intelligent transportation. His most-cited paper, "Real-Time Vehicle Detection using YOLOv8 and Data Augmentation Approach" (2023), addresses critical challenges in deploying You Only Look Once (YOLOv8) for practical applications like surveillance, robotics, and self-driving vehicles. By integrating data augmentation techniques, Gupta demonstrates how to enhance model robustness and accuracy in dynamic environments, achieving notable improvements in detection speed and reliability. This work has already garnered 3 citations, reflecting its relevance to the growing field of efficient computer vision. Gupta’s contributions lie at the intersection of deep learning and real-time systems, offering scalable solutions for object detection that balance computational efficiency with performance. His research is particularly valuable for students and engineers seeking to implement YOLOv8 in resource-constrained settings, as it provides a clear methodology for boosting model generalization without sacrificing speed. As autonomous vehicle technology and smart surveillance continue to evolve, Gupta’s findings offer a practical foundation for future innovations in real-time visual perception.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Vehicle Detection using YOLOv8 and Data Augmentation Approach3 citations · 2023