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CS 898

Advanced Special Topics in Computer Science

Graduate

Winter 2024 · Topics in Computer Vision

Topics

  • Pixel labelling, segmentation, stereo and reconstruction
  • Learning with scarce or inaccurate labels
  • Unsupervised, weakly supervised and self-supervised learning
  • Loss functions and structural regularization
  • Geometric, graphical and MRF/CRF models
  • Combinatorial optimization, relaxations and message passing
  • Submodular, spectral and mean-field methods

Readings

  • Computer Vision: Algorithms and Applications
    Richard Szeliski · reference
    2010
  • Computer Vision: A Modern Approach
    D. A. Forsyth; J. Ponce · reference
    2012
  • Deep Learning
    Ian Goodfellow; Yoshua Bengio; Aaron Courville · reference
    2016
  • Convex Optimization
    Stephen Boyd; Lieven Vandenberghe · reference
    2004
  • Pattern Recognition and Machine Learning
    Christopher M. Bishop · reference
    2011, as listed by source.
Sources