Vision and Sports Summer School

Zurich, 17-21 August 2009

http://www.vision.ee.ethz.ch/summerschool2009/

email: vs3@vision.ee.ethz.ch

application deadline: 10 May 2009


OVERVIEW

Vision and Sports is a special special kind of summer school. In addition to a broad-range of lectures on state-of-the-art Computer Vision techniques, it offers exciting sport activities, such as Kung-Fu, Ultimate Frisbee, and Volleyball. Sports will be organized by the same internationally renowned experts who deliver the lectures. The school offers the best of both worlds to participants: high-quality teaching on Computer Vision, and lots of fun with a variety of attractive sports. This will offer plenty of opportunity for personal contact between students and teachers.

The Vision and Sports Summer School will cover a broad range of subjects, reflecting the diversity of Computer Vision. Each lecture will cover both basic aspects and state-of-the-art research. Every day there will two Computer Vision classes and one sports session. The classes will include both lectures and practical exercises.

The school is open to about 40 participants, and is targeted mainly to young researchers (Master students and PhD students in particular).


CONFIRMED TEACHERS

Jiri Matas
Czech Technical University

Marc Pollefeys
ETH Zurich

Carsten Rother
Microsoft Cambridge

Bodo Rosenhahn
University of Hannover

Christoph Lampert
MPI Tuebingen

Bastian Leibe
TU Aachen

Vittorio Ferrari
ETH Zurich



COMPUTER VISION LECTURES

Topics will include:

• Local feature extraction
• Multi-view geometry
• 3D reconstruction
• Large-scale specific object recognition
• Appearance-based object categorization
• Shape representation and matching
• Contour-based object categorization
• Kernel Methods for Computer Vision
• Markov Random Fields and Conditional Random Fields for Computer Vision
• 3D human pose estimation

SPORT ACTIVITIES

Tennis, Volleyball, Ultimate Frisbee, Kung-Fu, Unihockey, Table Tennis


APPLICATION

The school is open to about 40 participants. Please apply online at

http://www.vision.ee.ethz.ch/summerschool2009/

Although priority will be given to young researchers (Master/PhD students in particular), applications from senior researchers and industrial professionals are welcome as well. The registration fee is expected to be around 300 Euro. This fee will include all classes, sports activities, coffee breaks, lunches, and a social dinner. For hotel accommodation, students will get discount rates on hotels affiliated with the Summer School.

Applicants should apply before 10 May 2009.
Notification of acceptance will be sent by 31 May 2009.


MORE INFORMATION

http://www.vision.ee.ethz.ch/summerschool2009/

PostDoc on Computer Vision and Machine Learning

Postdoctoral researcher in the field of computer vision and machine learning

The Learning Algorithm and Systems Laboratory at the EPFL (Swiss Federal Institute of Technology, Lausanne) seeks one qualified postdoctoral researcher in the field of computer vision and machine learning.

The postdoc will work in the framework of the IM2 and TACT projects, that develop algorithms for multimodal analysis of video and audio data recorded by the WearCam, a wearable hat designed for children with disabilities, see

http://lasa.epfl.ch/research/toys/wearcam/index.php

The successful candidate will have a PhD and experience in at least 1 of the following fields:

• computer vision or image processing
• machine learning, pattern recognition or statistical techniques

In addition, the candidate should have a strong background in C++ programming and matlab. The applicant should be fluent in English.

The initial Postdoctoral position is for one year, with a possibility of 1 year extension. The position is open immediately.

Application: Interested candidates should send a letter of motivation, along with their detailed CV, and copies of two relevant publications to Prof. Aude Billard (aude.billard@epfl.ch).

Post doctoral position in Machine Learning/Cognitive Vision/CBIR

For a project funded by the Austrian Science Foundation (FWF) and the European Commission, we are looking for a highly motivated post doctoral researcher with background in machine learning and/or cognitive vision and/or content based image retrieval. Among the possible fields of specialization are on-line learning, active learning, reinforcement learning, visual object classification, relevance feedback, and query-by-example search.

To learn more about the above project and the research at the Chair of Information Technology, University of Leoben, Austria, please visit http://institute.unileoben.ac.at/infotech.

This position will be filled in January 2009 for the duration of 2 years (with a possible extension). Depending on your qualification salary is 30000-45000 EUR per year (after paying all social and insurance benefits and taxes this is net 1500-2000 EUR per month). Highly qualified PhD candidates may be considered as well.

Applicants should submit 1) a CV, including a brief research statement, 2) 1-3 recent publications in electronic format, and 3) the names and contact information of three individuals who can serve as references.


Contact:

Univ.-Prof. Dr. Peter Auer
University of Leoben
Chair for Information Technology
Franz-Josef-Strasse 18, A-8700 Leoben, Austria
Fax: +43(3842)402-1502
E-mail: auer@unileoben.ac.at

PostDoc position in Computer Vision in China

Postdoc position in ** Computer Vision and Statistical Learning for Human Behavior Analysis **.

LIAMA Sino-French Laboratory in Computer Science, Automation and Applied Mathematics, BEIJING, P.R. CHINA.

French CNRS postdoctororal contract, for two years.

The closing date for application is ** March 30, 2008 **.

The postdoc project is described on: https://www2.cnrs.fr/DRH/post-docs08/?pid=1&action=view&id=596&lang=en

Formal description of the position is available on: https://www2.cnrs.fr/DRH/post-docs08/?pid=8&lang=en

For further information, feel free to contact Franck.Davoine at gmail.com

Applications include a CV and a statement of interest, a link to the Ph.D. thesis, a list of publications, references (names, homepages), in PDF-format, and the formal application form available on https://www2.cnrs.fr/DRH/post-docs08/?pid=1&action=view&id=596&lang=en at the following address:

Dr. Franck Davoine, LIAMA / CASIA, Institute of Automation, Chinese Academy of Sciences, 95, Zhongguancun Dong Lu, PO Box 2728, BEIJING 100080, P.R. CHINA.


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Despite active research in the past decades, robust analysis of facial actions for automatic human behavior understanding in unconstrained environments, as well as non invasive and very accurate capture of subtle facial performances are still very difficult problems, and pose significant research challenges. This is mainly due to the high variability of the face's appearance over time, caused by intrinsic and extrinsic factors such as changes in illumination, out-of-plane rotations, occlusions, facial expressions, etc.

The postdoc position is in the field of human activity and behavior analysis. The successful candidate is expected to participate in the development of novel methods, together with Dr. Franck Davoine, considering richer adaptive models for a better analysis of faces, possibly considering contextual knowledge extracted for example from modalities like body postures or hand gestures. Different focus options are available depending on the interests and strengths of the candidate.

He will be expected to do leading-edge research in the area of computer vision and statistical learning, and be involved in collaborative research projects with academic and industrial partners. He will be employed by the CNRS, and based at the LIAMA Sino-French laboratory in Beijing, P.R.China, during 24 months.

LIAMA is located in the northwestern part of Beijing, in the Haidian science park described as China's Silicon Valley. It offers a very exciting environment for research, a possibility to conduct competitive research and opportunities to cooperate with some of the best groups in China.

Information about the LIAMA is available on http://liama.ia.ac.cn/wiki/

We seek a post-doctoral researcher worldwide. Applicants must have most of the following attributes:

* Excellent computer programming abilities in C/C++/Matlab.
* Proven knowledge and experience of modern computer vision or statistical methods for machine learning.
* A track record of publications in first-rank international computer vision or statistical learning conferences and journals.
* Fluent in English, both written and spoken.
* Creative team player.