Piyush Joshi

Papers

Total Citations

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About

Piyush Joshi is a researcher specializing in 3D computer vision and object recognition, with a particular focus on texture-less objects in time-critical applications like robotics. His work addresses the challenge of recognizing objects without relying on color or texture, using local surface features instead. His most cited paper, "A Survey on Training Free 3D Texture-less Object Recognition Techniques" (2020), provides a comprehensive experimental analysis of methods that bypass heavy statistical training, making them ideal for real-time systems. Although his citation count is modest—his top paper has garnered only 2 citations—this reflects the niche and emerging nature of his research area. Joshi’s contribution lies in systematically evaluating and comparing training-free approaches, offering a valuable resource for researchers and engineers seeking efficient recognition pipelines. His work is particularly relevant for autonomous systems where speed and robustness are critical. As the field of 3D perception continues to grow, Joshi’s foundational survey serves as a stepping stone for future advancements in texture-less object recognition.