G Purna Sasi Kumar
Papers
1
Total Citations
2
H-Index
1
About
Dr. G Purna Sasi Kumar is a computer vision researcher whose work centers on deep learning architectures for object localization and detection. His most-cited study, "Object Localization Using Deep Neural Network with Pytorch" (2024), provides a comprehensive evaluation of bounding box regression techniques, comparing region-based and anchor-based approaches for applications in robotics and medical image analysis. This work has garnered 2 citations, establishing a foundation for practical implementations in real-world vision systems. Dr. Kumar's research addresses the critical challenge of precisely identifying and locating objects within images, a fundamental problem in autonomous systems and diagnostic imaging. His contributions demonstrate a strong command of PyTorch-based neural network implementations, offering reproducible methodologies that bridge theoretical advances with applied engineering. By systematically analyzing different localization strategies, his work helps practitioners select optimal approaches for specific deployment contexts. Dr. Kumar continues to advance the field of computer vision, focusing on making deep learning solutions more accessible and effective for complex localization tasks that require both accuracy and computational efficiency.
Research Focus
Key Achievements
Top Papers
- 1Object Localization Using Deep Neural Network with Pytorch2 citations · 2024