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 |
S1 | World model summary paper | Nothhelfer, Benedikt | |||
S2 | Visual world models | Goehring, Andre-Christian | |||
S3 | Autoregressive vision model | Birmele, Marius | |||
S4 | Learning from video | Kulkarni, Sheetal | |||
S5 | Causal world model | Mazouz, Nuri | |||
S6 | World model based RL agent | Brutsche, Janine | |||
S7 | Hierarchical world model | Angerer, Carsten |