Parma Nand

Papers

Total Citations

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About

Parma Nand is a researcher focused on computer vision and scene understanding, with a particular emphasis on object recognition in complex environments. Their most cited work, "Object Recognition in a Cluttered Scene" (2021), addresses the critical challenge of identifying objects amidst visual noise and occlusion—a foundational problem for autonomous systems and robotics. While the paper has garnered 1 citation, it represents a targeted contribution to improving algorithmic robustness in real-world settings. Nand’s research intersects with machine learning and image processing, aiming to enhance the accuracy and efficiency of visual perception systems. Their work is notable for its practical implications, such as enabling smarter navigation for drones or more reliable detection in surveillance. Though early in their citation trajectory, Nand’s focus on cluttered scenes underscores a dedication to solving everyday visual complexities, making their research relevant for students and engineers developing next-generation computer vision applications.