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.

(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:

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


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