G Sreenidhi

Papers

Total Citations

H-Index

About

G Sreenidhi is a researcher focused on the intersection of computer vision and deep learning, with a particular emphasis on object boundary detection. Her most cited work, "Object Boundary Detection using Neural Network in Deep Learning" (2019), addresses a critical challenge in autonomous systems—enabling machines to accurately perceive object edges in complex visual environments. This research has direct applications in self-driving cars and domestic robotics, where precise boundary detection is essential for safe navigation and interaction. By moving beyond traditional segmentation methods, Sreenidhi’s approach leverages neural networks to generate partial segmentation maps, improving the robustness of visual perception pipelines. While her citation count is currently modest, her work contributes to a foundational area of AI that underpins advancements in automation and scene understanding. Sreenidhi’s research reflects a growing trend toward integrating deep learning with real-world robotic applications, positioning her as an emerging voice in the field of applied computer vision.