Vivek Singh Bawa
Papers
4
Total Citations
44
H-Index
3
About
Vivek Singh Bawa is a researcher at the forefront of surgical robotics and computer vision, with a focused expertise in enabling autonomous assistance during minimally invasive surgery (MIS). His key research area centers on surgeon action detection—the critical task of recognizing and interpreting a surgeon’s movements in real-time from endoscopic video. Bawa’s major contribution is the creation and public release of the ESAD (Endoscopic Surgeon Action Detection) dataset, a foundational resource that provides annotated surgical video sequences for training and benchmarking action detection algorithms. This work directly supports the SARAS (Smart Autonomous Robotic Assistant Surgeon) project, which aims to develop safer, more effective robotic assistants that can anticipate a surgeon’s needs and act accordingly. His most cited paper, “The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods” (2021), has garnered 29 citations, reflecting the dataset’s growing importance in the field. By tackling the unique challenges of surgical scene analysis—such as tool similarity and occluded views—Bawa is paving the way for intelligent robotic systems that enhance coordination and safety in the operating room, making him a notable contributor to the future of computer-assisted surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2ESAD: Endoscopic Surgeon Action Detection Dataset8 citations · 2020
- 3ESAD: Endoscopic Surgeon Action Detection Dataset5 citations · 2020
- 4SARAS challenge on Multi-domain Endoscopic Surgeon Action Detection2 citations · 2021