K Minhas
Papers
1
Total Citations
11
H-Index
1
About
K Minhas is a researcher at the forefront of computer vision and deep learning, with a specialized focus on accurate skin segmentation—a critical enabler for applications in human activity recognition, video surveillance, hand gesture identification, face detection, and robotic surgery. Their most cited work, "Accurate Pixel-Wise Skin Segmentation Using Shallow Fully Convolutional Neural Network" (2020, 11 citations), introduces a novel approach that leverages a shallow fully convolutional neural network to achieve precise, pixel-level skin detection. This contribution is particularly notable for balancing computational efficiency with high accuracy, addressing a key challenge in real-time vision systems. By demonstrating that a streamlined architecture can outperform more complex models in this domain, Minhas has provided a practical solution for resource-constrained environments. Their research underscores the importance of robust segmentation in enabling reliable human-computer interaction and automated surveillance. With a growing citation impact, Minhas continues to influence advancements in vision-based human activity analysis, offering a foundation for future work in autonomous systems and medical robotics.
Research Focus
Key Achievements
Top Papers
- 1