183.292 open Problems in Computer Vision Canceled
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to submit their own scientific paper to the Computer Vision Winter Workshop(CVWW) and present their work either as oral or as poster presentation. In this way they experience a complete cycle of a scientific publication in reality.

Subject of course

General: Principles of Scientific Communication, assess and discuss the state of the art in a subarea of computer vision, communicate and discuss the concrete results in a lecture unit and/or submit to a scientific workshop.

Concrete topics will be adapted to the state of the art.

Teaching methods

Working out a concrete scientific problem.

Discussion of alternative solutions with pros and cons.

Writing a scientific contribution to be submitted for peer-review.

Presentation of the paper within the scope of CVWW or in one lecture unit at the end of the semester.

Mode of examination

Written and oral

Additional information

Course for Master and PhD Students (efforts may vary depending on the capabilities of the student):

25h: developing the paper concept+lecture units

25h: project+writing scientific paper under supervision

5h: submission to CVWW or equivalent workshop before the deadline

12h: discussion of reviews and revision

8h preparing slides and presentation of the paper at CVWW

Lecturers

Institute

Examination modalities

Oral and written presentation of the scientific paper.

Course registration

Begin End Deregistration end
24.08.2020 00:00 07.11.2020 23:00 07.11.2020 23:00

Registration modalities

http://TISS.tuwien.ac.at

Curricula

Study CodeObligationSemesterPrecon.Info
784 165 Computer Management Mandatory elective
784 175 Business Informatics Mandatory elective
784 939 Business Engineering and Computer Science Mandatory elective
786 175 Business Informatics Mandatory elective
786 881 Computer Sciences Mandatory elective
791 881 Computer Sciences Mandatory elective
791 884 Subject: Informatics und Informatics Management Mandatory elective

Literature

No lecture notes are available.

Previous knowledge

Existing project (Praktikum or topic of master thesis or PhD) and basics of scientific work (seminar) are advantageous.

Preceding courses

Miscellaneous

Language

English