This course will be held in English only

Selected Topics in 3D Shape Analysis

Winter 2022/2023

In this seminar, we will cover topics from Shape Analysis (i.e. the extraction of more abstract information from a collection of 3D shapes). More concretely, the topics include the analysis of single shapes, how to map between pairs of shapes and a range of possible shape representations (with their individual benefits and disadvantages) for expressive machine learning techniques such as neural networks in order to analyze whole collections of shapes.

Contact

Class Information

Language
Credits

English
5 ECTS for B.Sc.
4 ECTS for B.Sc. (PO 2022)
4 ECTS for M.Sc.

Fields Of Study

Computer Science (B.Sc.)
Computer Science (M.Sc.)
Media Informatics (M.Sc.)
Software Systems Engineering (M.Sc.)
Data Science (M.Sc.)
Technical Communication (B.Sc.)
Technical Communication (M.Sc.)
Master Erasmus

Grading

The grade will be calculated as follows:

Written Paper: 50%
Presentation & Participation: 50%

Attendance Policy

To pass the course, you need to attend all presentations.

Submission Milestones

All submissions have to be sent to the supervisor until 12:00 (noon) via mail. Include the tag [PDUI] and the name of the topic and the milestone (e.g., “[Seminar] Explainable AI, Report Outline”).

Dates

Kickoff Meeting:

11.10.2022 (14:00) @ room 118 (E3)

Topic Deadline:

12.10.2022 (12:00)

Outline Deadline:

26.10.2022 (12:00)

Presentations:

23.11.2022 & 24.11.2022 @ room 118 (E3)

Report Deadline:

21.12.2022 (12:00)

Revised Report Deadline:

1.2.2023 (12:00)

Literature Review & Outline

Prepare 5+ topic-related research papers with a 30-word contribution and benefits statement stating the contribution type. Provide a clear structure for the final paper submission. What is the storyline you want to convey? How are you introducing the topic? What are the arguments you are providing? How are you connecting the papers to each other and your arguments? Include your papers into this structure.

Presentation

You present in front of your fellow students and your supervisor. We expect a well-prepared presentation. Test your talk at least once in the room where you are going to present to familiarize yourself with the equipment, and test your slides on the projector in the room. Presentation time will be 20 minutes, followed by a 5-minute discussion where you will receive feedback and questions from your supervisor and your peers. We encourage a constructive feedback interaction where you can learn from each other and have a friendly conversation on how to improve your presentation style.

Report Submission

Your paper submission should contain 14 content pages in our template. We expect you to submit a final version without spelling mistakes, with a clear flow of argumentation, a complete bibliography, and including all figures.

Report Feedback

After your presentation, we will meet to give you feedback on your paper submission.

Revised Report Submission

Your final paper submission should contain 14 content pages in the provided template. We expect you to submit a final version without spelling mistakes, with a clear flow of argumentation, a complete bibliography, and including all figures.