Thomas Tang

Dr. Zheng (Thomas) Tang is a senior deep learning engineer at NVIDIA, working on artificial intelligence (AI) and computer vision for Metropolis. His research interests include intelligent transportation systems, object tracking, re-identification, action recognition, camera calibration, and synthetic data generation. He holds six U.S. patents and has over 20 publications in peer-reviewed journals and conferences. Dr. Tang received his Ph.D. in electrical and computer engineering from the University of Washington in 2019.
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Posts by Thomas Tang

Simulation / Modeling / Design Dec 03, 2024

Scaling Action Recognition Models with Synthetic Data

Action recognition models such as PoseClassificationNet have been around for some time, helping systems identify and classify human actions like walking,... 11 MIN READ
Decorative image of workflow steps.
Computer Vision / Video Analytics Jul 10, 2024

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