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 (ECCV 2010). 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.

Seminar: (2 SWS) Wednesday, 10-12am, Room: HS 02-017, Building 052 Contact person: Robert Bensch Beginning: Wednesday, May 4, 2011 Introduction and allocation of seminar topics. ECTS Credits: 4 Recommended semester: 6-10 Requirements: any proseminar Remarks: This course is available both for Bachelor and Master students. Master students should give their presentation in English (to practise their English presentation skills), Bachelor students may present in German. The discussion can be in English and German. Topics will be assigned in the first meeting. Submit your presentation outline to your advisor at least 2 weeks before your presentation and meet with your advisor. Submit your presentation slides to your advisor at least 1 week before your presentation and meet again. All participants must read all papers and answer a few questions. The answers must be sent to the advisor before the paper is presented.

---

Slides of first session with instructions for a good presentation

Papers:

Date	Topic	Paper	Questions	Presenting student	Slides	Advisor
08.06.	Object segmentation	Levinshtein et al.	Questions	Jan Mattner	pdf	Margret Keuper
22.06.	Voting based detection	Yarlagadda et al.	Questions	Severin Gustorff	pdf	Thorsten Schmidt
29.06.	Dense realtime stereo	Stuemer et al.	Questions	Nikolaus Mayer	pdf	Benjamin Ummenhofer
06.07.	Motion segmentation with point trajectories	Brox-Malik	Questions	Natalia Zarawska	pdf,vid	Robert Bensch
13.07.	Fast numerical scheme for diffusion	Grewenig et al.	Questions	Manuel Braun	pdf	Peter Ochs
20.07.	Hierarchical object class models	Fidler et al.	Questions	Eddy Ilg	pdf	Naveen Shankar Nagaraja
27.07.	Part-based object detection with poselets	Bourdev et al.	Questions	Thomas Rinklin	pdf	Henrik Skibbe
03.08.	Object viewpoint classification	Gu-Ren	Questions	Alexander Dippel		Maja Temerinac-Ott