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 (CVPR 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.

Seminar: (2 SWS) Wednesday, 10-12am, Room: HS 02-017, Building 052 Contact person: Robert Bensch Beginning: Wednesday, Oct 26, 2011 Introduction and allocation of seminar topics. ECTS Credits: 4 Recommended semester: 6-10 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. The discussion can be in English and 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.

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Slides of first session with instructions for a good presentation

Papers:

Date	Topic	Paper	Questions	Presenting student	Slides	Advisor
23.11.	Diffeomorphic Image Registration	Song et al., Murphy et al.,	Questions	Sven Wehner	pdf	Benjamin Drayer
30.11.	Human pose from depth images	Shotton et al.	Questions	Jan Mattner	pdf,vid	Phillip Chlap
07.12.	Datasets and benchmarking	Torralba-Efros	Questions	Nikolaus Mayer	pdf	Kun Liu
14.12.	Structure from motion	Crandall et al.	Questions	Nikolas Engelhard	pdf	Benjamin Ummenhofer
21.12.	Video segmentation	Lezama et al.	Questions	Thomas Rinklin	pdf	Robert Bensch
11.01.	Pose and action recognition with poselets	Maji et al.	Questions	Alexander Fix	pdf	Dominic Mai
18.01.	Shape from shading	Barron-Malik	Questions	Andreas Peer	pdf	Qing Wang
25.01.	Segmentation	Jegelka-Bilmes	Questions	Claire Legendre	pdf	Thorsten Schmidt
01.02.	Object learning	Fathi et al.	Questions	Karina Fitriani Fatimah	pdf	Margret Keuper
08.02.	Face recognition	Belhumeur et al.	Questions	Mauricio Munoz	pdf	Maja Temerinac-Ott
15.02.	Articulated part detection	Yang-Ramanan	Questions	Andreas Behr	pdf	Naveen Shankar Nagaraja