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ML in G&V

This new course will cover machine learning algorithms as well as their application to computer vision and computer graphics problems.

Machine Learning Topics:

  • Classification

  • Regression

  • Random Forests

  • Deep Neural Networks

  • Generative Models

  • Generative Adversarial Networks

  • Structured Prediction

  • MRF / CRF

Vision and Graphics Applications:

  • Semantic Segmentation
  • Optical Flow
  • Structure from Motion
  • Video Deblurring
  • Rendering Faces
  • Global Illumination Sampling

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