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Advanced Topics in Human-Centric Computer Vision
Last Updated: 2026-02-05 16:30:09
Abstract
In this seminar we will discuss state-of-the-art literature on human-centric computer vision topics including but not limited to human pose estimation, hand and eye-gaze estimation as well as generative modeliing of detailed human activities.
Objective
The learning objective is to analyze selected research papers published at top computer vision and machine learning venues. A key focus will be placed on identifying and discussing open problems and novel solutions in this space. The seminar will achieve this via several components: reading papers, technical presentations, writing analysis and critique summaries, class discussions, and exploration of potential research topics.
Content
The goal of the seminar is not only to familiarize students with exciting new research topics, but also to teach basic scientific writing and oral presentation skills. The seminar will have a different structure from regular seminars to encourage more discussion and a deeper learning experience. We will treat papers as case studies and discuss them in-depth in the seminar. Once per semester, every student will have to take one of the following roles: Presenter: Give a presentation about the paper that you read in depth. Reviewer: Perform a critical review of the paper. All other students: read the paper and submit questions they have about the paper before the presentation.
Resources
Learning Materials (Links)
- Main link
- Information
General Information
- Language
- English
- Levels
- BSC , MSC , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Registration & Places
- Max Places
- 20
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar | Advanced Topics in Human-Centric Computer Vision |
|
2 h weekly |