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
  • Scene flow
  • Advanced types of convolutions and normalization layers
  • Image-based rendering
  • Domain adapation and transfer
  • Self-supervised learning
  • Reinforcement learning
  • Model size reduction
  • Continual learning
  • Various advanced applications for computer vision


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


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

The access token will be announced during the first lecture.