Sameer Satish Pusegaonkar

Sameer Pusegaonkar is a system software engineer at NVIDIA, specializing in building AI-powered computer vision applications. He conducts research and development on a diverse set of computer vision, perception, and deep learning problems, including multi-camera multi-object tracking applications. Previously, Sameer worked on solving similar perception problems for real-time applications that integrated multi-modal lidar and camera sensors. He earned his M.Sc. in robotics from the University of Maryland, College Park and a B.E in computer engineering from the University of Mumbai.
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Posts by Sameer Satish Pusegaonkar

Decorative image of workflow steps.
Computer Vision / Video Analytics

Enhance Multi-Camera Tracking Accuracy by Fine-Tuning AI Models with Synthetic Data

Large-scale, use–case-specific synthetic data has become increasingly important in real-world computer vision and AI workflows. That’s because digital twins... 14 MIN READ