EECS 542: Advanced Topics in Computer Vision

Note: this is an archived webpage and is no longer in active use. I do not teach this course or any course at the University of Michigan anymore. I am preserving it in case it is useful for others.

Instructor: David Fouhey (fouhey)

GSI: Wallace Sui (hcsui)

Class: Monday/Wednesday 10:30AM - NOON, 1050 FMCRB or Zoom (see Canvas)

Zoom link: Check canvas!

Description

This is a graduate-level course incorporating two components. The first is weekly group-driven reading and active discussion and debating of work in computer vision. The second are projects that find a particular problem; make a concrete hypothesis and experiments to test it; and execute them computationally using realistic data. Throughout, you are expected to meaningfully contribute, engage with the material, and engage with the class.

Syllabus

Here is the syllabus.

Credit for materials

I am extremely grateful to the many researchers who have made their slides and course materials available and have done my best to credit people.
Please feel to re-use any of my materials while crediting appropriately and making sure original attributions to these generous researchers is preserved.
If you use my materials, please also consider making your material available online as well to pay it forward.