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. The focus will be on deep learning for computer vision. 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.
Slides of first session with instructions for a good presentation
Powerpoint template (optional)
|25.05||3D up-convolutional networks||Questions||Ahmed Osman||Slides||Özgün Cicek|
|01.06||3D model reconstruction from single images||Questions||Tonmoy Saikia||Slides||Huizhong Zhou|
|08.06||Data dependent network initialization||Questions||Torsten Koller||Slides||Nikolaus Mayer|
|15.06||Efficient ConvNet architectures||Questions||Osama Makansi||Slides||Robert Bensch|
|22.06||Unsupervised feature learning||Questions||Ehsan Amiri||Slides||Nima Sedaghat|
|06.07||Deep reinforcement learning||Questions||Axel Perschmann||Slides||Ahmed Abdulkadir|
|13.07||Video prediction||Questions||Manuel Ruder||Slides||Maxim Tatarchenko|
|20.07||Dataset for object and action recognition||Questions||Yufeng Xiong||Slides||Mohammadreza Zolfaghari|