Piyush Gupta

Papers

Total Citations

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About

Piyush Gupta is a researcher specializing in computer vision and natural language processing, with a particular focus on automated image captioning. His work addresses the critical challenge of bridging visual and textual understanding, enabling machines to generate descriptive text from images in real time. Gupta’s most cited paper, “A Comparative Study of Machine Learning Based Image Captioning Models” (2022), has garnered 8 citations and systematically evaluates various deep learning architectures for image-to-text generation. This study highlights the practical significance of his research for applications ranging from assistive technologies for visually impaired individuals to autonomous navigation in self-driving vehicles and robotic systems. By benchmarking model performance, Gupta provides valuable insights for advancing more accurate and efficient captioning systems. His contributions underscore the transformative potential of integrating vision and language, with implications for accessibility, automation, and human-computer interaction. As a rising voice in this interdisciplinary field, Gupta’s work continues to inform both academic research and real-world deployment of intelligent systems that interpret and describe visual content.