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

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 in OLAT.

The access token will be announced during the first lecture.