Fachgebiet Augmented Vision

Advanced Topics in Computer Vision and Deep Learning

We are happy to anounce our new lecture on Advanced Topics in Computer Vision and Deep Learning!

As as of now, the lecture will be offered every winter semester.

Included Topics

  • Visual sensors
  • Data representations
  • Advanced Object Detection
  • (Sensor-)Fusion
  • Tracking
  • Light Fields
  • Advanced types of convolutions and normalization layers
  • Prior knowledge in machine learning and hybrid methods combining deep learning and classical computer vision
  • Image-based rendering
  • Domain adapation and transfer
  • Self-supervised learning
  • Reinforcement learning
  • Model size reduction
  • Various advanced applications for computer vision

Requirements

It is recommended to have completed at least "3D Computer Vision", "Very Deep Learning", or a related course.

OLAT

If you want to take the course, please join it on OLAT.

The access token will be announced during the lecture.

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