Seminar on Current Works in Computer Vision
Prof. Thomas BroxThe goal of Computer Vision is to imitate the flexibility and robustness of the human visual system and has a large impact on the success of artificial intelligence in general. Research has made significant progress in recent years particularly due to deep learning. In this seminar we will take a detailed look at various recent papers with a particular focus on world models.
For each paper there will be one person, who performs a more detailed investigation of the research paper and its background, and who will give a presentation. The presentation is followed by a discussion with all participants about the merits, limitations, and perspectives of the respective paper. You will learn to read and understand contemporary research papers, to give a good oral presentation, to ask questions, and to openly discuss a research problem.
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Material:
Giving a good presentationProper scientific behavior
Slides of the introductory lecture
Powerpoint template for your presentation (optional)
Papers:
Date | Paper | Questions | Presenting student | Slides | Advisor |
29.05 | World model summary paper | questions | Nothhelfer, Benedikt | Artur Jesslen | |
05.06 | Visual world models | questions | Goehring, Andre-Christian | Artur Jesslen | |
12.06 | Autoregressive vision model | questions | Birmele, Marius | Jelena Bratulic | |
19.06 | Learning from video | questions | Kulkarni, Sheetal | Johannes Dienert | |
03.07 | Causal world model | questions | Mazouz, Nuri | Simon Schrodi | |
10.07 | World model based RL agent | questions | Brutsche, Janine | David Hoffmann | |
25.07 | Hierarchical world model | questions | Angerer, Carsten | Sudhanshu Mittal |