[Imageworld] Call for papers ICPR2012

Dear Colleagues
The following is the 1st CFP for INCPR2012
Sincerely Yours
Publicity Chair of ICPR2012 A. IMIYA
%%%%%%%%%%%%%%%

ICPR2012 Call for Papers

ICPR2012 is the twenty-first conference of the International Association for
Pattern Recognition (IAPR), which will be held during November 11-15, 2012.

ICPR 2012 will be an international forum for discussions on recent advances
in the fields of Computer Vision; Pattern Recognition and Machine Learning;
Signal, Speech, Image and Video Processing; Biometrics and Human Computer
Interaction; Multimedia and Document Analysis, Processing and Retrieval;
Bioinformatics and Biomedical Applications.

Paper Submission:
Authors will be requested to submit their papers electronically through
the conference website before March 31st, 2012.
http://www.icpr2012.org
Details on paper format for manuscript submission will be available at
the conference web site.

Workshops:
ICPR2012 invites Workshop Proposals. The workshops must be full-day and
will
be held on November 11th, 2012, immediately before the start of
the main conference.

Tutorials:
ICPR2012 invites interested researchers to send proposals for the
Tutorial Program. The tutorials must be half (or full)-day and will be
held on
November 11th, 2012.

Important Dates:
Deadline for paper submission March 31, 2012
Deadline for workshop proposal January 6, 2012
Deadline for tutorial proposal April 30, 2012
Notification of paper acceptance June 15, 2012
Camera ready papers and author registration July 15, 2012

Conference Location:
ICPR2012 will be held at the Tsukuba International Congress Center,
Tsukuba,
Japan.
http://www.epochal.or.jp/eng/index.html
Tsukuba Science City is about 50 km northeast of Tokyo and 40 km
northwest of
the Narita International Airport. The Haneda International Airport is
10 km south of Tokyo.
The Tsukuba Express Line connects Tsukuba/Akihabara in 45 min.

URL: http://www.icpr2012.org
Contact: secretary@icpr2012.org

General Co-Chairs:
Jan-Olof Eklundh (Sweden), Yuichi Ohta (Japan), Steven Tanimoto (USA)

Program-Co-Chairs:
Alberto Del Bimbo (Italy), Kim L. Boyer (USA), Katsushi Ikeuchi (Japan)

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[Imageworld] Postdoctoral Research Assistant in Cancer Image Analysis - Vacancy ID 101618

Postdoctoral Research Assistant
Institute of Biomedical Engineering, Department of Engineering Science,
University of Oxford
Grade 7: £29,099 - £35,788 p.a.

We are seeking a full-time postdoctoral research assistant to join the
Biomedical Image Analysis Laboratory at the Institute of Biomedical
Engineering in Headington. The post is funded by Cancer Research UK, the
Engineering and Physical Sciences Research Council, and the Medical
Research Council, and is fixed-term up to 20 months.

The research project is within the Image Analysis programme of the
Oxford Cancer Imaging Centre, and is carried out in close interaction
with clinicians in the Oxford Cancer Centre (located on the same site as
the IBME). The remit of this post is to develop and evaluate fundamental
and translational image analysis methodology for nonlinear image
alignment to enable quantitative assessment of tumour growth or response
to therapy (and ultimately, prediction of response). You will be
responsible for performing analysis for a range of ongoing clinical
trials, and take a lead in translating existing and newly developed
methodology to clinical research practice.

You should possess (or be near completion of) a relevant PhD/DPhil in
medical image analysis, together with relevant experience to work in a
multi-disciplinary environment with both engineers and clinicians. You
should also possess a solid mathematical and computational background in
medical image analysis, including nonlinear image registration, and
strong programming skills. A solid publication background in relevant
international peer-reviewed conferences and journals is essential.

Informal enquiries may be addressed to julia.schnabel@eng.ox.ac.uk.

Only applications received before midday on 12 January 2012 can be
considered. You will be required to upload a covering letter, a brief
statement of research interests (describing how past experience and
future plans fit with the advertised position), CV and the details of
two referees as part of your online application.

Contact Person : Dr Julia Schnabel
Contact Email : julia.schnabel@eng.ox.ac.uk
Closing Date : 12-Jan-2012
Vacancy ID : 101618
http://www.ibme.ox.ac.uk/biomedia/opportunities

--
Julia A. Schnabel, PhD University Lecturer in Engineering
Science
Institute of Biomedical Engineering Fellow in Engineering, St. Hilda's
College
Department of Engineering Science http://www.ibme.ox.ac.uk
University of Oxford Tel: (44 1865) 6 17687 (voice)
ORCRB, off Roosevelt Drive Tel: (44 1865) 6 17730 (secr.)
Oxford OX3 7DQ, UK Fax: (44 1865) 6 17701
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[Imageworld] Postdoc Opening at the Lab for Computational Imaging and Bioinformatics, Rutgers University

Postdoctoral Fellow / Research Scientist position, Laboratory
of Computational Imaging and Informatics, Rutgers University,
Piscataway, NJ
Position: Postdoctoral Fellow / Research
Scientist position
Organization: Lab of Computational Imaging and
Informatics, Rutgers Univ.
Location: Piscataway, NJ
Deadline: 11-15-11
Description:
Applications are invited for a Postdoctoral Fellow / Research Scientist
position at the Laboratory of Computational Imaging and Informatics
(http://lcib.rutgers.edu/lcib/jobs), Rutgers University in the area of
Biomedical Image Analysis and especially multi-modal image registration,
shape-based modeling and segmentation, and high dimensional data
classification and visualization. The Laboratory for Computational
Imaging and Bioinformatics (LCIB) which boats over 30 personnel
(graduate students, post-docs, undergrads, research faculty) provides a
unique interdisciplinary research environment with internationally
recognized collaborators from Medicine, Biology, Mathematics, and
Engineering. The position entails research in computer-aided diagnosis
for detection of prostate and breast cancer on multi-parametric imaging
and digital pathology, in collaboration with researchers from the Cancer
Institute of New Jersey, Robert Wood Johnson Hospital, NJ, Boston
Medical Center, The University of Pennsylvania Medical Center,
Philadelphia, PA, MD Anderson Cancer Center, University of Buffalo
Medical Center, and the University of California San Francisco. The
candidate will benefit from mentorship of a diverse research and
clinical team and will be exposed to cutting-edge technology.
Qualifications:
Applicants should have a doctoral degree in Computer Science, Electrical
Engineering, Applied Mathematics or a related field. The successful
applicant will have solid research, interpersonal, and communication
skills. Prior experience in either biomedical image analysis, computer
vision, image processing and/or bioinformatics is required. The position
is open immediately and the salary compensation is very competitive. For
consideration, please submit your application preferably in one single
PDF-document including cover letter, a full CV, a statement of research
interests and career goals and the names and email addresses of three
references to anantm[at]rci[dot]rutgers[dot]edu, with subject line
"PDF/RSP: (your name)". For more information please email Prof.
Madabhushi (anantm[at]rci[dot]rutgers[dot]edu). New Jersey offers an
outstanding environment for research and professional opportunities for
growth and collaboration, including the largest medical center in the
country.
Contact:
Anant Madabhushi
Laboratory for Computational Imaging and Informatics
599 Taylor Road,
Piscataway, NJ 08854
Phone: 732-445-4500 (x 6213)
Fax: 732-445-3753
Email: anantm[at]rci[dot]rutgers[dot]edu

Rutgers is an Equal Opportunity/Affirmative Action Employer. Rutgers is
also an ADVANCE institution, one of a limited number of universities in
receipt of NSF funds in support of our commitment to increase diversity
and the participation and advancement of women in the STEM disciplines.

--
Anant Madabhushi, PhD
Associate Professor
Director, Lab for Computational Imaging& Bioinformatics
Dept. of Biomedical Engineering, Rutgers University
599 Taylor Road, Room 213
Piscataway, Nj 08854
Tel: 732-445-4500 (x 6213)
Fax: 732-445-3753
Email: anantm@rci.rutgers.edu
Admin Assist: Rhonda Simone (x 6220)
URL: http://lcib.rutgers.edu/
Twitter URL: http://twitter.com/RutgersLCIB/

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[Imageworld] Postdoc job Cardiovascular Image Analysis at Eindhoven University of Technology, NL

Postdoc Biomedical Image Analysis

 

Recently TU/e established the Imaging Science and Technology Eindhoven Institute (IST/e), which aims to grow to a leading research institute on the crossroads of image acquisition, mathematical modeling, algorithmics, visualization and biomedical applications of complex images or image sequences on the basis of advanced acquisition techniques. This ambitious goal is feasible through synergy of perfectly complementary research groups in TU/e and their collaborative partners at Philips Healthcare and Philips Research and regional and academic medical centers.

 

The Department of Biomedical Engineering at Eindhoven University of Technology seeks a

Postdoc in the field of Cardiovascular Image Analysis.

 

Job description

 

Medical imaging has developed revolutionary, and has become the prime source of information for diagnosis and interventions. The need for sophisticated analysis and visualization algorithms is strongly increasing, not only due to the sheer complexity of the data, now encompassing many modalities and being more and more multi-valued (vector and tensor data, multi-scale, multi-orientation etc.), but also due to the advent of acquisition and visualization of many functional parameters (e.g. strain, diffusivity etc.), the need for image guided surgery and interventions, and the sheer volume of the data.

 

The Biomedical Image Analysis group, headed by prof. Bart M. ter Haar Romeny, and established in 2001, has developed a solid position in research and teaching in this field, and operates at world-class level. See: http://bmia.bmt.tue.nl.

The scientific research in the group BMIA focuses on three closely intertwined areas:

 

•             Design of advanced mathematical algorithms

•             Visualization of multi-valued data

•             Cardiovascular and neuro applications

 

The strength of the group is the close interaction between these areas. The group has set up a full line of teaching, and has continuously 15-20 (full last year) MSc projects active.

 

The Netherlands have traditionally a strong base in image analysis, and the group has established excellent research- and application collaborations with Philips Healthcare (Best), KCL (London), Utrecht University, Maastricht University and many others. BMIA participates in the ‘Institute for Diagnostic & Interventional Imaging’ (IDII), which was established under the Dutch grant application program ‘Innovative Medical Devices Initiative NL’ (2011-2016).

 

Requirements

 

Your research should deal with the long-term topics of BMIA in the fields of cardiovascular or neuro image analysis research and clinical applications. The candidate will strengthen and expand the current research program. She/he will lecture in the Bachelor (in Dutch) and Master (in English) BME programs.

 

The candidate we seek is an excellent researcher in one of the focus areas described above. She/he has published pioneering contributions in major research journals and top conference proceedings. The candidate holds a PhD degree in a relevant discipline (physics, computer science, mathematics, electrical engineering, biomedical engineering) and is an excellent teacher. The candidate should also fulfill the following requirements:

• The candidate is an enthusiastic team player with the ambition to strengthen, expand and focus the current research program. Experience in initiating and participating in collaborative projects with scientific and industrial partners and (international) research programs is advantageous.

 

• The candidate has a proven record of attracting substantial research funding.

 

• The candidate has a good scientific network, and has been invited for keynote lectures, reviews, editor activities and/or conference organization.

 

• The candidate will, preferably, have experience with different application domains and a keen eye for technical solutions.

 

• The candidate has good managerial capabilities.

 

• She/he has an excellent command of the English language.

 

Employment conditions

 

A challenging job at a dynamic and ambitious University of Technology:

 

We offer a postdoc salary based on Dutch Universities rules, related to relevant experience and knowledge, and an attractive package of fringe benefits (including 13th month salary, 8% holiday allowance and 8,3% end of the year allowance, excellent work facilities, child care and sport facilities).

 

More information

 

For more information about the position, please contact prof. Bart M. ter Haar Romeny PhD, email B.M.terHaarRomeny@tue.nl, and for questions about the appointment please approach mrs. Yvonne Bloemers (Human Resources Dept.), email Y.Bloemers@tue.nl. 

 

Applicants are requested to submit:

•             a letter of application;

•             a CV with resume and picture;

•             a list of publications;

•             contact details of three references;

•             statement of research, teaching and leadership.

 

[Imageworld] Reminder: CVPR 2012 Call for Short Courses/Tutorials - Deadline December 2 (this Friday)

CVPR 2012 Short Courses & Tutorials: Call for Proposals
Deadline:  December 2, 2011
Short Courses Chair: Erik Learned-Miller (elm@cs.umass.edu)

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) will take place in Providence, Rhode Island, between June 16-21, 2012.  Short courses and tutorials will take place on June 16, 17 and/or 21, 2012, at the same venue as CVPR, the Rhode Island Convention Center.

Short courses and tutorials are usually half-day with the option of full day courses for wider scope topics. They aim to address a specific topic in computer vision and are supposed to provide a comprehensive overview of the topic. The audience is mostly graduate students. The topic should be of sufficient relevance with respect to the state of the art and the course should be educational rather than just a survey of techniques.

Here are links to Short Course/Tutorial listings from past CVPRs:

2011: http://cvpr2011.org/tutorials

2010: http://cvl.umiacs.umd.edu/conferences/cvpr2010/tutorials/

2009: http://www.cvpr2009.org/call-for-short-courses

To submit a proposal, please send the following information to the Chair by December 2 (either plain text email or a .pdf file):

1) Short course/Tutorial Title.

2) Proposer's name, title, affiliation, and email.

3)  Names of additional organizers with name, title, affiliation and email.

4) Short biosketch of each organizer.

5) Course description. Please provide topics covered, with a brief outline and other significant details. Please discuss the target audience and expected number of attendees. Also, provide pointers to relevant publications by the organizers, and to other publications.

6) Describe the relationship to previous tutorials offered at CVPR, ICCV, and ECCV in the last three years.

7) Planned materials (if any) to be distributed to attendees.

The selection committee will deliver decisions by January 15, 2012.

--

Erik Learned-Miller

Associate Professor

Department of Computer Science

University of Massachusetts, Amherst

https://www.cs.umass.edu/~elm/

[Imageworld] Postdoctoral Position in Bayesian Machine Learning

Hello,

could you please post the following job announcement to the list?

Thanks,

-------------------------------------------------------------------------------

Postdoctoral Position in Bayesian Machine Learning

EPFL's Probabilistic Machine Learning Lab (http://lapmal.epfl.ch/), headed
by Matthias Seeger, has an opening for a post-doctoral fellow in the
field of Bayesian machine learning / low level computer vision, as part of
a project funded by the European Research Council.

The initial appointment is for 12 months, extensions up to 3 years are
possible.
Topics of interest are:

- Variational approximate Bayesian inference (variational Bayes, expectation
propagation, MCMC)
- Bayesian techniques for large scale models (stacks of image frames, 3D
imaging, text)
- Exploring links between approximate Bayesian inference and large scale
optimization (theory and algorithms)
- Applications of variational Bayesian inference to adaptive compressive
sensing, magnetic resonance imaging, low-level computer vision or
neuroscientific models

The Probabilistic Machine Learning Lab is set within a vibrant, world-class
environment at EPFL, one of the leading technical universities worldwide
(the I&C department is top-ranked in Europe).
EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers
away from the city of Geneva. Salaries are internationally competitive
(among
the highest in Europe).

Requirements:

Applicants are expected to have finished, or be about to finish their
Ph.D. degrees. They must have an exceptional background in probabilistic
machine learning, numerical optimization, or statistical physics. A firm
grasp
of approximate Bayesian machine learning and/or advanced (medical) image
processing is a plus.
A track record of relevant publications at top machine learning or computer
vision conferences (NIPS, ICML, UAI, JMLR, CVPR, ICCV, PAMI, IJCV, IEEE IT)
and/or top-ranked image processing or physics journals is essential.

The working language at EPFL is English (good skills essential), French is
not required.

Application:

Please send your applications by email to
Matthias Seeger (matthias.seeger@epfl.ch)

Make sure to include:
- Statement of interest
- Curriculum vitae
- List of publications (add copies of 2-3 strongest papers in the area of
interest of this call)
- Contact details for 2-3 letters of reference

If you happen to attend the forthcoming NIPS conference, December 12-17,
Granada, please do make yourself known to me there.

--
Matthias Seeger Tel.: +41 21 6931396
ICCS, EPF Lausanne, Switzerland http://lapmal.epfl.ch
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[Imageworld] JOB: Computer Vision Engineers - Mobile Acuity Limited - Edinburgh, UK

Are you looking to work with an exciting mobile start-up and to reach a
mass market audience with cutting edge computer vision technology? Read on.

Mobile Acuity provides world leading technology allowing mobile
developers to add mobile visual search to apps. Our latest customers
have millions of mobile users, our technology and intellectual property
are well protected and the company has recently secured growth funding.

We are looking to fill a number of posts to expand our core computer
vision team to work on the ongoing development of our mobile visual
search platform. Successful candidates will get to work on both
pre-production R&D projects and production software for deployment with
customers.

Candidates should have the following skills and experience:

* A strong grounding in a broad range of image processing and computer
vision techniques
* Up to date theoretical understand and practical experience of feature
based image matching
* A strong grasp of linear mathematics and linear and non-linear
optimisation
* An understanding of multi-view projective geometry
* At least 3 years of practical application of computer vision
techniques in solving real world problems in industry or academia
* A highly level of competence in C and C++

The following skills and experience are not essential to us but would
provide you with an advantage:

* A relevant post-graduate qualification
* Experience with linear algebra libraries such as BLAS and LAPACK
* Experience of using Intel's Integrated Performance Primitives Library
* Java development experience
* GPU programming in languages such as OpenCL and CUDA
* Experience of working in a start-up environment

We are offering competitive salaries and share options based on the
candidate's experience. You will be expected to work at our headquarters
based in Edinburgh UK. Edinburgh is a great city in which to work and live.

If you want to know more about the vacancies and the company and you
meet our criteria then please contact me at the address below. No
recruitment agencies please.

--
=================================
Anthony Ashbrook PhD
Founder & CEO
Mobile Acuity Limited
anthony.ashbrook@mobileacuity.com
T: +44 (0) 131 668 6908
M: +44 (0) 7809 420 845
F: +44 (0) 131 650 3474
=================================

London - 24th November 2011 - Tesco partners with Mobile Acuity to
enhance mobile visual discovery and shopping experience for consumers

Manchester - 22nd November 2011 - "TurnIntoCash.com website users get
even more cash thanks to Visual Search technology from Mobile Acuity"

Edinburgh - 8th June 2011 - "Mobile Acuity announces combined Image
Recognition and Robust Barcode Reader library for mobile application
Development"

Edinburgh - 6th June 2011 - "Mobile Acuity selected by Mocom for Image
Search Services in Australia"

London - 15th February 2011 - "Mobile Acuity partnership enables
7digital Visual Music Discovery"
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