Pushkar Kadam

Papers

Total Citations

H-Index

About

Pushkar Kadam is a rising researcher in computer vision, with a focus on object tracking and human pose estimation. His most cited work, "Object Tracking Using Computer Vision: A Review" (2024, 24 citations), provides a comprehensive survey of tracking techniques critical for robotics, autonomous driving, and pedestrian analysis, highlighting advances in sensor fusion and imaging hardware. Kadam also explores hand pose detection in "Hand Pose Detection Using YOLOv8-pose" (2024, 2 citations), applying state-of-the-art deep learning to enable applications in augmented and virtual reality, human-robot interaction, and gesture-based assistive technology. His research bridges foundational survey work with practical implementation, demonstrating impact in both academic and applied contexts. Though early in his career, Kadam’s contributions are already shaping how machines perceive and interact with dynamic environments, with potential to enhance autonomous systems and human-computer interfaces. His work underscores a commitment to advancing real-time visual understanding, making him a promising voice in the field of computer vision.