Seminar on Current Works in Computer VisionProf. Thomas Brox
Computer Vision is a very active research field with many practical applications, for instance in quality control, robotics, or driving assistance systems. The ultimate goal of Computer Vision is to imitate the great capabilies of the human visual system, allowing the computer not only to record images but also to interpret them. Research has made significant progress in recent years.
In this seminar we will take a detailed look at the most interesting recent works. For each paper there will be one person, who performs a more detailed investigation of a research paper and its background and will give a presentation. The presentation is followed by a discussion with all participants about the merits and limitations 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.
Slides of first session with instructions for a good presentation
Powerpoint template (optional)
|30.11||Deep network architectures||Questions||Alexander Thiemann||Slides||Anton Böhm|
|14.12||Next frame prediction in video||Questions||Sebastian Dufner||Slides||Nima Sedaghat|
|11.01||Image compression with deep networks||Questions||Mohammad Fattouh||Slides||Robert Bensch|
|18.01||Multi-view reconstruction||Questions||Pablo de Andres||Slides||Benjamin Ummenhofer|
|25.01||Distributed training of deep networks||Questions||Boris Martinovic||Slides||Dominic Mai|
|01.02||Scene reconstruction||Questions||Alexander Mitrofanov||Slides||Huizhong Zhou|
|08.02||Human pose estimation||Questions||Alexandra Berkel||Gabriel Oliveira|