Seminar on Current Works in Computer Vision

Prof. 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 is still far from this goal, but significant progress has been made in recent years.
In this seminar we will take a detailed look at the most interesting recent works that have been published at the latest Computer Vision conference (ICCV 2011). You will read a number of research papers published at this conference. For each paper there will be one person, who performs a more detailed investigation of the research work and its background and gives 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.

(2 SWS)
Wednesday, 10-12am,
Room: HS 02-017, Building 052
Contact person: Margret Keuper

Beginning: Wednesday, Apr 25, 2012
Introduction and allocation of seminar topics.

ECTS Credits: 4

Recommended semester:

Requirements: any proseminar

Remarks: This course is offered to both Bachelor and Master students. Master students should give their presentation in English (to practise their English presentation skills), Bachelor students may present in German.

Topics will be assigned in the first meeting. Please register for the seminar online before the first meeting. Just in case there are more interested students than places, places will be assigned by motivation in the first meeting, NOT by date of registration to avoid that people grab a topic and then jump off during the semester. So please have a coarse look at all available papers to make an informed decision in the first meeting. The listed papers are not yet sorted by the date of presentation.

Slides of first session with instructions for a good presentation


Date   Topic Paper Questions  Presenting student   Slides   Advisor
23.5.2012 Decision tree fields Nowozin et al. Help and questions Patrick Tippmann Kun Liu
6.6.2012 Attribute classification Bourdev et al. Questions Jan Mattner Thorsten Schmidt
13.6.2012 Viewpoint learning from videos Mei et al. Questions Andreas Kuhner Margret Keuper
27.6.2012 Viewpoint specific object detection Glasner et al. Questions Mohamed Chit Naveen Shankar Nagaraja
4.7.2012 Region-based detection Sande et al. Questions Jonathan Nagel Robert Bensch
11.7.2012 Shape matching Windheuser et al. Questions Andreas Behr Benjamin Drayer
18.7.2012 Image restauration Zoran et al. Questions Dina Yunusova Qing Wang
25.7.2012 Dense 3D reconstruction Newcombe et al. Questions Mohammed Chbeib Benjamin Ummenhofer