The goal of the project is to develop video-based methods for modeling human motion, with applications toward 3D pose estimation, activity recognition, and synthetic motion generation. The project includes data collection with motion capture equipment and programming of generative machine learning models.
Requirements
The applicant should have documented experience in machine learning, particularly programming deep neural networks. You should also have documented experience in computer vision, image processing, or signal processing, as well as experience with data collection using various motion capture systems.
Preferred qualifications
Great emphasis will be placed on personal skills.
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Tagged as: Engineering, Physics
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