Wintersemester

Seminar aus Computer Vision (und Mustererkennung) (SE)

Course Details

Lecturer

Robert Sablatnig
Marco Peer

LVA-Nr.

183.588

Typ

Seminar (SE)

Link

TISS

Course

This seminar formerly known as seminary on Computer Vision and Pattern Recognition and now seminary on Computer Vision is given in English by Robert Sablatnig and Marco Peer in winter term. The course will be held in presence in WS2023/24.

Motivation for the Course

Communication, both written and oral, is crucial in most graduate jobs, whether in the commercial or the scientific sector. The successful presentation of one’s own work depends on well-developed communication skills. In the more specific context of international scientific conferences, many more papers and presentations would be accepted, if the manner in which they were presented were improved.

Aims and Objectives

The aim of this course is to improve students’ performance in developing and organizing ideas and in preparing effective documents and talks. The focus is specifically on scientific communication, which refers to the presentation of scientific results and hypothesis in the primary scientific literature, in other kinds of review and popular literature, and as talks at conferences.

The purpose of this course is to help students to communicate ideas better and to learn the skills of scientific communication.
The main aims are:

  • to improve communication skills
  • to concentrate on scientific communication, both written and oral
  • to learn about how scientific communication is performed at workshops, conferences, and in journals.

Further goals include training graduate and PhD students how to

  • access information about different topics, such as research results, conferences, etc., in paper-based publications and on the WWW
  • to write cv’s, abstracts, extended abstracts, and articles
    for acceptance at international conferences and publications
    (both with regard to language and contents)
  • to review and assess submissions to scientific conferences.

Contents

Topics include discussion and review of different kinds of publications such as theses, articles, survey articles, books, abstracts, etc.
Writing exercises (dealing with content as well as language) will include the students abstracts, extended abstracts, and papers.

Topic for winter term 2023/24:

Document Analysis

Find 2 or 3  papers that are dealing with a specific problem within this area and compare them regarding methodology, parameters and results. It is also possible that you deal with a topic related and relevant to your master thesis. The topic will be defined in the first lesson.

Organization: