Seminar on Current Works in Computer Vision
Prof. Thomas BroxComputer Vision is a very active research field with many practical applications, for instance for industrial inspection, autonomous driving, robotics, or smart homes. 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 also due to deep learning.
In this seminar we will take a detailed look at the most interesting recent works. The focus will be on deep learning for computer vision and visual control problems. For each paper there will be one person, who performs a 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.
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Slides of first session with instructions for a good presentation
Powerpoint template (optional)
Papers:
Date | Paper | Questions | Presenting student | Slides | Advisor |
21.06 | Object instance segmentation | Questions | Silvio Galesso | Slides | Özgün Çiçek |
28.06 | Activity understanding | Questions | Thomas Leyh | Slides | Mohammadreza Zolfaghari |
05.07 | Depth map fusion with an octree convolutional network | Questions | Lukas Voegtle | Slides | Huizhong Zhou |
12.07 | Uncertainty estimation in deep networks | Questions | Patryk Chrabaszcz | Slides | Eddy Ilg |
19.07 | Visual imitation learning | Questions | Salih Hasan Siddiqi | Slides | Artemij Amiranashvili |
26.07 | Learning 3D Human Pose Estimation | Questions | Ikrima Bin Saeed | Slides | Christian Zimmermann |