Multimedia Information Processing Group

Masterseminar - Deep Learning in Computer Vision

General information

The assessment in this module consists of the preparation of a written elaboration, the review of two works of your fellow students, as well as a presentation with subsequent discussion.

The complete course will be held in English. The elaboration, reviews and presentation (incl. discussion) will be done in English.

If you have any questions, please contact your supervisor or Johannes Brünger


Written elaboration

Your first task is to read and understand the paper assigned to you. You should also consider quoted literature that is necessary for understanding. Then you should summarize the contents of your paper in your own words. We expect about 12-20 pages. Again, you should not limit yourself to your paper, but also include accompanying literature.

The written elaboration is submitted via the EasyChair conference system.

Deadline: 05.12.2019 | Submission-Link:




In a review you should assess whether or not the author has fulfilled the task of summarising the given paper. Of course, you also have to consider the original paper. The reviews are also carried out via the EasyChair conference system. You will be assigned two papers, which you should edit as follows:

  • Summary Here you should briefly summarize the content of the elaboration. This shows that you as a reviewer have understood what it is all about.
  • Paper strength Here you should list what you liked about the elaboration. So if you had to defend your colleague, these would be your arguments why the elaboration is good.
  • Paper weaknesses Here you should list what you didn't like about the elaboration. So if you had to defend the rejection of the work, those would be your arguments why the elaboration is not good.
  • Preliminary evaluation A summary of your opinion with arguments as to whether the task was fulfilled or not.
  • Overall evaluation That summarizes again in a grade whether the elaboration has fulfilled the task or not. This recommendation will not be passed on to the author.


The reviews are part of the assessment in this seminar and are therefore included in your grade. We will evaluate how conscientiously you have reviewed the work of your fellow students.

Deadline: 12.01.2020



During the presentation, you should give a 20-minute presentation of the contents of the paper assigned to you. Afterwards we would like to have a short discussion about the contributions of the paper to Deep-Learning research. You as the speaker should lead this discussion and, if necessary, start it with questions you have prepared yourself.

Dates: 16.01. / 23.01. / 30.01. / 06.02. (The assignment to the individual dates will be announced in the course of the semester.)