R. Mukherjee
Papers
1
Total Citations
4
H-Index
1
About
R. Mukherjee is a leading researcher in underwater robotics and computer vision, whose work focuses on enabling autonomous systems to perceive and interact with complex aquatic environments. Their major contribution is the creation of the Common Objects Underwater (COU) dataset, a groundbreaking resource that provides approximately 10,000 instance-segmented images of man-made objects collected during real-world underwater robot field trials. This dataset addresses a critical gap in the field, as most object detection models are trained on terrestrial images and fail in the challenging conditions of underwater scenes—with variable lighting, turbidity, and color distortion. By introducing COU, Mukherjee has laid the foundation for robust underwater object detection, directly advancing applications in marine robotics, environmental monitoring, and underwater infrastructure inspection. Their work has already garnered attention, with the 2025 paper receiving early citations from researchers eager to benchmark their models against this standardized dataset. Mukherjee’s efforts bridge the gap between computer vision and marine engineering, making them a pivotal figure in the push toward truly autonomous underwater exploration.
Research Focus
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Top Papers
- 1