186.837 Seminar in Computer Vision and Pattern Recognition
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021S, SE, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SE Seminar
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to present a scientific talk about a chosen research topic and to write a scientific publication on the topic. Essential is the ability to identify their own contribution.

Subject of course

Different topics in computer vision and Pattern Recognition will be studied in detail.
With an appropriate number of participants the final presentations are organized in form of a mini-conference where the students are introduced in the organization of such an event. 
Further details: http://www.prip.tuwien.ac.at/teaching

Teaching methods

Together with the teachers an appropriate topic is chosen for every student. Then the literature is scanned for assessing the state-of -the-art in the chosen topic and discussed, what the proper contribution of the student could be. In the middle of the semester there is the optional possibility to give an online test talk (zoom) and to have an (incomplete) intermediate paper reviewed. The final presentation and the papers are the basis for evaluation.

Mode of examination

Written and oral

Additional information


  • 15h Selection of topic
  • 15h literature recherche
  • 15h oral presentation
  • 30h written scientific contribution


Materials and submissions

via nextcloud of PRIP:


Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)



Course dates

Thu15:00 - 16:3004.03.2021 ZoomID: 927 8443 9514 Password: cvpr2021; or https://tuwien.zoom.us/j/92784439514?pwd=c1BnZEk5MmlIRWlJa21HMUJ0UWppQT09 (LIVE)Introduction

Examination modalities

Final presentation and final scientific document.

Course registration

Begin End Deregistration end
03.02.2021 00:00 12.03.2021 00:00 03.04.2021 00:00



No lecture notes are available.


  • Attendance Required!


if required in English