Computer Vision student paper published in WI22 conference

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Assistant Professorship students go WI22 conference!

The recent accomplishments at our assistant professorship are showing that every single student really can make a difference! Our teaching is about you and your achievements in your courses!

Lectures are there for you to grow!

As a result of our offering Development of Deep Vision Systems, a group of four students was motivated to dig into their findings a bit deeper. They conducted further experiments with their computer vision model and were successful in handing in their paper at WI22. For some of them, this was even one of their first papers handed in and at the same time, it got directly accepted with two great reviews! 

Where to find the paper?

You can find the paper at the AISeLibrary or via google scholar.

It will be presented at WI22 virtually/online on 22.2.2022 at 14:15 by Maximilian V. Harl!

Reference:

Harl, Maximilian V.; Herchenbach, Marvin; Kruschel, Sven; Hambauer, Nico; Zschech, Patrick; and Kraus, Mathias, “A Light in the Dark: Deep Learning Practices for Industrial Computer Vision” (2022). Wirtschaftsinformatik 2022 Proceedings. 33.
https://aisel.aisnet.org/wi2022/student_track/student_track/33

So what? Now it is your turn!

A huge step, isn’t it? Well, you can do likewise if you are already familiar with some of the basics of ML with Python and want to elevate your knowledge in one of our courses.

Also, get inspired by research and watch out for other cool papers at WI22!

 

Written by 

on 2022-02-17