Paul Shin

Paul J. Shin, PhD is a senior manager for Vision AI at NVIDIA. He leads various projects on computer vision and perception modules and tools for Vision AI for DeepStream and Metropolis (including GPU-accelerated multi-object trackers). Previously, Paul led the R&D group at a retail analytics company where he architected and developed the multi-camera multi-object tracking pipeline including multi-modal sensor fusion algorithms and the end-to-end real-time edge AI processing pipeline for 2000+ smart cameras connected to the cloud using AWS IOT for real-time in-store shopper behavior analytics. He earned a PhD in computer vision and wireless sensor networks from Purdue University in 2013 and a B.E. from Korea University. He holds 17 pending and issued patents with six peer-reviewed publications in top computer vision conferences and journals.
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Posts by Paul Shin

Computer Vision / Video Analytics

State-of-the-Art Real-time Multi-Object Trackers with NVIDIA DeepStream SDK 6.2

When you observe something over a period of time, you can find trends or patterns that enable predictions. With predictions, you can, for example, proactively... 9 MIN READ