Karthik Seemakurthy

Tata Consultancy Services (India), University of Lincoln

Papers

Total Citations

H-Index

About

Karthik Seemakurthy is a researcher at the intersection of computer vision and robotics, with a focus on real-time perception systems and domain adaptation. His work addresses critical challenges in surgical robotics and autonomous vision. Seemakurthy’s most cited paper, “Surgical Smoke Dehazing and Color Reconstruction” (2021, 6 citations), tackles the problem of smoke obstructing the surgeon’s view during minimally invasive robotic surgeries. He proposes algorithmic dehazing to replace energy-based smoke removal, enhancing real-time visual clarity during cauterization and tissue dissection. In “Domain Generalised Fully Convolutional One Stage Detection” (2023, 4 citations), Seemakurthy advances robotic vision by developing detection models that perform reliably across different data distributions—a key limitation in deploying deep learning in dynamic environments. His work is notable for bridging the gap between controlled training data and unpredictable real-world conditions, particularly in medical and industrial robotics. With a growing citation footprint, Seemakurthy is contributing to safer, more robust robotic systems, making his research essential for students and engineers working on vision-guided autonomy and surgical assistance.