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VISION-LIST digest 28.8

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Oct 24, 2009, 10:33:09 PM10/24/09
VISION-LIST Digest Sat Oct 24 19:38:06 PST 2009 Volume 28 : Issue 8

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Today's Topics:

ADMIN: Working Notes of ImageCLEF 2009 available
JOB : Contract R&D CV position - Honda Research Inst - Mtn View, CA
JOB : CV Researcher - SONY Entertainment - London, UK
JOB : Programmer/SE position - UNC - Chapel Hill, NC
JOB : Postdoc - Disney Research - Pittsburgh, PA
JOB : Postdoctoral positions - Univ Penn - Pennsylvania, PA
JOB : 4 PhD 3 postdoc positions - Rotterdam, Netherlands
JOB : Postdocs - Univ Penn - Philadelphia, PA
JOB : Postdoc - Univ Missouri - Kansas, MO
JOB : Research Fellow Position - A*STAR - Singapore
JOB : RA/TA positions - Univ Nevada - Reno, NV
JOB : PhD Position - ETH Zurich - Zurich SW
JOB : PhD studentship - Erasmus MC - The Netherlands
CFP : Springer Book on Intelligent IU - 30NOV2009
CFP : ICJV Special Issue on Structured Prediction and Inference - 26FEB2010
CFP : ICMI-MLMI 2009 - Cambridge, MA - 02NOV2009
CFP : NICE:II Iris Images - Univ of Beira
CFP : Visual Scene Interpretation - Johns Hopkins - 18NOV2009
CFP : WSCG2010 - Pilsen, Czech Rep - 15OCT2009


From: Stefanie Nowak <>
Subject: ADMIN: Working Notes of ImageCLEF 2009 available

Working Notes of ImageCLEF 2009 available

The CLEF 2009 workshop has just been completed successfully. ImageCLEF
( ) as part of CLEF posed 6 interesting tasks in
1) Medical Annotation
2) Medical Retrieval
3) Photo Annotation
4) Photo Retrieval
5) Robot Vision
6) Wikipedia MM
The results of the participating groups and the overview papers of the
tasks are now available as working notes at

We also had an interesting Theseus-ImageCLEF preworkshop on visual
information retrieval evaluation. The slides are available here .

Kind regards,
Stefanie Nowak


Subject: JOB : Contract R&D CV position - Honda Research Inst - Mtn View, CA

We are seeking applications for a contract based research & development
position in the area of human motion tracking based on computer vision
techniques at our Mountain View California office. The candidate must
have an MS or PhD in computer science, electrical engineering, or
related field. Specifically, we're seeking applicants with experience in
3D human pose estimation and tracking. The candidate must have
familiarity with low level computer vision and image processing
techniques, machine learning, motion tracking, and strong skills in
software development in C++.

The project goals are further development of our existing real time 3D
human pose estimation system. The candidate will be involved in
improving robustness and speed of the current algorithms in addition to
developing new algorithms for handling complex human poses.

To apply for this position, please send a cover letter, your resume, and
two letters of reference to this email address: career

This position is also posted online at:

If there is a good match between the planned research and your
background, we will contact you directly.

Behzad Dariush
Honda Research Institute USA
800 California St. Suite 300
Mountain View CA 94041
phone: 650-314-0424
fax: 650-314-0405


Subject: JOB : CV Researcher - SONY Entertainment - London, UK

London Studio Job Specification
SONY Computer Entertainment Europe
London Studio ? 15 Great Marlborough Street, London W1 7HR ? 0207 859 0000

Role: Computer Vision Researcher ? S.L.A.M.
Grade: Senior
Desired Start Date: October 2009 (ASAP)
Product: London Studio Vision R&D
Reporting To: Head of Vision R&D
Direct Reports: None
Term: Permanent / Full Time
Hiring Manager: Diarmid Campbell (

Role Overview (Basis for Job Advertisement):

We require a computer vision researcher to investigate techniques and
collaborate with other engineers to create a real-time SLAM system for
the PlayStation platform. You will be working alongside Computer Vision
experts as well as some of the most creative people in the computer
games industry to develop cutting edge game experiences for the mass
market. The job will be based in the Sony London Game Development Studio
in the heart of Soho.

The successful candidate will need to have a significant amount of
experience developing SLAM systems already and is expected to have a PhD
in this area (or equivalent experience). They will need to fully
understand the mathematics behind such systems and have the software
engineering skills to be able to implement them in a structured and
modular way.

They will need to be creative and analytical and also have the
communication skills to be able to work with games designers, game
programmers and other engineers to gather requirements, propose
solutions and adapt the algorithms to the specific needs of the games.

If you don?t know what SLAM is, you are not qualified.
Candidate Requirements:
1. PhD in Computer Vision - SLAM (or equivalent)
2. Excellent knowledge of the C++ programming language.
3. Experience in designing software system


From: "fengshi" <>
Subject: JOB : Programmer/SE position - UNC - Chapel Hill, NC

A programmer / data analyst position is available in IDEA lab
( ), UNC-Chapel Hill, NC. The
successful applicant will be trained to work broadly in biomedical image
analysis field, and to help integrate various software packages
developed in the research labs. This position needs to work with a
multidisciplinary team on biomedical imaging. The successful applicant
must have a master degree in computer science or related engineering
fields. He/She must be strong in programming, and familiar with C/C++,
Matlab, ITK/VTK, and SPM. Experience with Linux is highly desired.
Knowledge on biomedical imaging, computer vision, pattern recognition,
and image processing is very helpful. If interested, please email
resume to Dr. Dinggang Shen ( ).


From: Iain Matthews <>
Subject: JOB : Postdoc - Disney Research - Pittsburgh, PA

Disney Research, Pittsburgh has one fixed term 2-year post-doctoral
position available immediately in our Computer Vision group. The ideal
candidate will have recently completed a PhD thesis in science,
engineering, or mathematics, and be experienced in one or more of the
following general areas:
- Object tracking
- Activity recognition
- Machine learning
- Robot vision

Excellent spoken and written English is essential. Disney Research is
primarily interested in publishing great research. Research-level
programming competence is required in Matlab and C++, and real-time
programming experience is strongly recommended.

Disney Research Labs provide a research foundation for the many business
units within the Walt Disney Company. For example: Walt Disney Feature
Animation, Walt Disney Imagineering, Parks & Resorts, Walt Disney
Studios Motion Pictures, Disney Interactive Media Group, ESPN, Image
Movers Digital and Pixar Animation Studios. Disney Research has sibling
labs located in Pittsburgh, Zurich, Los Angeles, Salt Lake City and San

Disney Research, Pittsburgh is co-located and affiliated with Carnegie
Mellon University under director Prof. Jessica Hodgins. The successful
candidate will also be encouraged to collaborate with members of the
established Computer Vision group at The Robotics Institute at Carnegie

Full participation in the global R&D community is required through
publication of results, collaboration with universities, and
participation in professional service activities. Candidates should have
a strong record of achievement in applied research, excellent academic
credentials, and an earned PhD in their area of specialization. Work
experience in the entertainment industry is preferred but not required.

To apply, please send a CV in pdf format that includes citizenship (and
for non-US citizens, current visa status if any) directed to Iain
Matthews at:

The Walt Disney Company is an Affirmative Action/Equal Opportunity
Employer and encourages applications from members of under-represented


From: Alan Stocker <>
Subject: JOB : Postdoctoral positions - Univ Penn - Pennsylvania, PA

Two postdoctoral positions are available in the Computational Perception
and Cognition Laboratory of Alan Stocker at the University of
Pennsylvania. Current research projects in the laboratory are focused on
understanding the role of adaptation in perception, modeling sequential
decision making during perceptual tasks, and deriving neural decoding
models that link neural population responses to perceptual behavior.
Further information about the laboratory can be found at:

Candidates must have a PhD degree at the time they will start the
positions. Analytical and programming skills are an advantage and the
ideal candidate is interested in performing both experimental and
theoretical/analytical work. More important than a specific background,
however, is a strong curiosity about how and why the nervous system
solves perceptual problems the way it does.

Each position is funded for up to two years, with the possibility for an
extension. The newly renovated laboratory offers state-of-the-art
equipment and working conditions. The laboratory is embedded in UPenn's
engineering and neuroscience communities, and thus there are ample
opportunities for collaborative work. UPenn is among the top tier of
universities world-wide and boasts a large concentration of high-quality
research on perception, cognition and the brain.

Candidates should send their applications (including a brief letter of
interest, a curriculum vitae and the names and addresses of three
references), or requests for additional information, to Alan Stocker
( ). He will be available to meet with
potential candidates at the upcoming SfN meeting in Chicago
(17-21st of October).

alan a. stocker, ph.d.


From: Marleen de Bruijne <>
Subject: JOB : 4 PhD 3 postdoc positions - Rotterdam, Netherlands

The Biomedical Imaging Group Rotterdam ( has open
positions for 4 PhD students and 3 Postdocs.

PhD student projects:
* MR brain image analysis: Early markers of neurodegenerative disease
* plaque @ risk: Predicting rupture of atherosclerotic plaque
(2 positions)
* 4D Ultrasound for improved image guidance

Postdoc projects:
* Care4Me: Computer aided diagnosis of neurodegenerative disease
(2 positions)
* Image Processing for Smart Confocal Microscopy

Candidates for the PhD student positions must have a Master's degree in
physics, electrical engineering, mathematics, biomedical engineering,
computer science, or a related field. Experience with image analysis
and/or machine learning methods is an advantage. Candidates for the
postdoc positions must have a PhD degree in biomedical image analysis or
a related field.

Our institute is internationally at the forefront of biomedical imaging,
and offers a dynamic, challenging, and cooperative research environment.
The group is located at the Erasmus MC, a large university medical
center in the city centre of Rotterdam (Netherlands). As a PhD student
you will get a temporary position of four years (full-time) with a gross
monthly salary of 2046 Euro in the first year increasing to 2622 Euro in
the final year. As a postdoctoral fellow, you will have a temporary
position of two years, with possible extension to a third year. The
gross monthly salary for a postdoc is at least 3212 Euro and may be
higher depending on qualifications.

For more information on the projects and on how to apply, please visit
our website at http:/ . In case you are
interested in more than one of the projects, please send a single
application and indicate your preference of projects. The deadline for
application is October 9, 2009.


From: Paul Yushkevich <>
Subject: JOB : Postdocs - Univ Penn - Philadelphia, PA

Penn Image Computing and Science Laboratory (PICSL)
Department of Radiology
University of Pennsylvania
Philadelphia PA, USA

October 23, 2009

The Penn Image Computing and Science Laboratory (PICSL) seeks highly
qualified applicants for the position of Postdoctoral Fellow. The
positions involve pursuing independent research in the field of
biomedical imaging analysis, supporting collaborations with clinical
investigators, and contributing to the specific aims of NIH and
industry grants. Specific funded projects associated with these
positions include:
1. Research on tract-specific, manifold-based approaches for
diffusion-weighted brain MRI analysis;
2. Construction of detailed computational anatomical atlases from
postmortem imaging, along with algorithms that leverage these
atlases for the segmentation of in vivo imaging data;
3. Development of novel object-centric computational models for
imaging analysis.

Applicants must have a Ph.D. or an equivalent degree (or expect to
defend in the near future); an excellent background in mathematics and
computational sciences; and a strong track record of independent
research in medical image analysis, computer vision, or a related
field. Applicants must have publications in the major journals (e.g.,
Neuroimage, MedIA, IJCV, TMI, PAMI) and/or conferences (MICCAI, IPMI,
IJCV, CVPR, etc.). Applicants with expertise in the following areas
are particularly encouraged to apply:
* computational neuroanatomy;
* deformable models and model-based segmentation;
* machine learning and statistical methods for image-based inference;
* C++ programming, particularly using the Insight Toolkit (ITK).

PICSL is a dynamic and growing group led by Profs. James C. Gee and Paul
A. Yushkevich. The group is involved in many exciting biomedical imaging
projects, including development of novel analysis methodologies;
application of the state-of-the-art techniques to clinical studies; and
translational research. PICSL is deeply committed to the principles of
open science, and is a leader in development and dissemination of
open-source image analysis applications (ITK-SNAP, ANTS, DTI-TK). PICSL
is a part of the graduate groups of the Departments of Computer and
Information Science, and Bioengineering. It is affiliated with the
Centers for Functional Neuroimaging, for Bioinformatics and for
Cognitive Neuroscience, the Institutes for Medicine and Engineering and
for Translational Medicine and Therapeutics, the General Robotics,
Automation, Sensing and Perception Laboratory, the Working Group on
Applied Mathematics and Computational Science, and the Leonard Davis
Institute of Health Economics, and is a founding member of the Center
for Health Informatics at Penn, the Penn Center for Musculoskeletal
Disorders, and the National Library of Medicine Insight Consortium.

PICSL is located in Philadelphia, a vibrant city that offers many
professional and cultural opportunities. PICSL fosters a friendly,
noncompetitive, collaborative environment where each individual member
of the laboratory is able to thrive, while also effectively contributing
to the group=92s overall programmatic aims. Trainees are strongly
encouraged to form collaborations, seek pilot funding, and pursue
independent research. Past postdoctoral trainees at PICSL have been very
successful in obtaining highly competitive positions in the academia,
industry and US Government agencies.

The University of Pennsylvania is an equal opportunity, affirmative
action employer. Women and minority candidates are strongly encouraged
to apply.

Please submit curriculum vitae, a brief statement of research interests,
and names of three references to:
Paul A. Yushkevich, Ph.D., Assistant Professor
Department of Radiology,
University of Pennsylvania


From: "Wang, Yu-Ping" <>
Subject: JOB : Postdoc - Univ Missouri - Kansas, MO

Position: Post-doctoral Fellow/Visiting Scholar/PhD position in bioimage
Organization: University of Missouri-Kansas City
Location: Kansas City, MO, USA
Deadline: Open until filled


A post-doctoral/visiting scholar and PhD graduate research assistant
position is available to work on the detection of genetic aberrations
with high resolution microscopic imaging and the integration of genomic
imaging information with microarray gene expression.


(1) A PhD degree in Biomedical Engineering, Electrical Engineering,
Computer Science, Applied Mathematics, Statistics or other related
(2) Programming skills with MATLAB and C/Java;
(3) Experience in image analysis;
(4) Knowledge of biology and genomics is desirable but not required.

Contact: Yu-Ping Wang, PhD
Departments of Computer Science and Electrical Engineering
University of Missouri-Kansas City
570H RHFH, SCE, 5100 Rockhill Rd.
Kansas City, MO 64110
Phone: 816-2355223

To apply for the position send CV with a list of three references and a
research statement to


From: "Zhou Jiayin" <>
Subject: JOB : Research Fellow Position - A*STAR - Singapore

One Research Fellow position is available at the Intelligent Medical
Imaging Group, Institute for Infocomm Research, Agency for Science,
Technology and Research (A*STAR), Singapore.


* You will work in a team to develop advanced algorithms for medical imaging
processing and clinical applications based on CT/MRI images.
* The research will focus on R&D of medical image segmentation, modeling,
quantification and algorithm performance evaluation, and clinical
applications. You will be responsible for proposing, developing and validating
the algorithms, and closely work with doctors from hospital on clinical


* A PhD in Electrical & Computer Engineering, Computer Science or related
discipline with background in computer vision, image processing,
pattern recognition or machine learning.
* Preferred 1-3 years of working experience in image processing, computer
vision or pattern recognition. Experience in medical image processing,
analysis or visualization is a plus.
* Proficient in Matlab and good at C/C++ .
* Team player with good communications skills and adaptable to work in a
multicultural team environment.
* Resourceful and ability to work independently with good initiative and
problem solving skills is a must.
* Fresh graduates are welcomed to apply.

Please send your CV to or .


From: George Bebis <>
Subject: JOB : RA/TA positions - Univ Nevada - Reno, NV

The Computer Vision Laboratory (CVL) in the Computer Science and
Engineering Dept at the University of Nevada, Reno, Nevada, USA, invites
applications for several graduate research/teaching assistantships,
available in Spring 2010. Active research areas within CVL include
object recognition, visual motion analysis, face detection/recognition,
biometrics, tracking and pose estimation of human
body/head/hand/eye-gaze, surveillance and activity recognition. CVL has
been funded by government and industry including NSF, NASA, ONR, Ford
Motor Company, and Nevada Dept of Transportation. CVL faculty are
actively collaborating with several government and industrial
laboratories. For more information, please see

Requirements: A first degree in either an Engineering subject, in
Mathematics, in Physics, or in Computer Science. Good Mathematical
background, programming skills in C or C++, and familiarity with
Unix/Linux/Windows are necessary. Prior familiarity with Image
Processing, Computer Vision, Pattern Recognition, and Machine Learning
is desirable.

Interested students should contact Prof. George Bebis
( ) as soon as possible. The assistantships are
available in Spring 2010.

Dr. George Bebis (775) 784-6463 (office)
Professor and Graduate Director (775) 784-1877 (FAX)
Director of Computer Vision Laboratory
Dept of Computer Science & Engineering
University of Nevada
Reno, NV 89557


From: "Horvath Peter" <>
Subject: JOB : PhD Position - ETH Zurich - Zurich SW

Ph.D. position in 3D biological image segmentation

The ETH Zurich, Institute of Cell Biology (Prof. Krek) and Light
Microscopy Centre offers a Ph.D. position in 3D image processing. The
project objective is high-resolution automated imaging of whole
chromosome aneuploidy.


The major aim of this project is to apply 3D imaging to detect single
chromosomes labeled with FISH in samples containing intact cells and to
develop, in parallel, image analysis software for the precise
determination of the number of chromosomes in cells. Secondary aim is to
investigate methods to classify/identify abnormal cell behavior. These
technological developments will be directly used in biological
applications related to cancer biology.


Applicants should have a strong background in image processing, software
development, and mathematics. The project would ideally combine an
interest for theoretical work (3D image segmentation) with engineering
skills (software development in Matlab, Java, or C++). The candidate is
expected to strongly interact with a fellow PhD student working on the
biology, image acquisition side of the project. Hence basic knowledge in
cell biology is an advantage but not required. Readiness to work in a
very interdisciplinary environment and receiving the necessary education
is a must. The position is open immediately, candidates are continuously
evaluated. The envisioned project duration is 3-4 years.


Candidates should email a motivation letter with detailed CV in PDF
format to Prisca Iseli ( ) or see .

Thanks for your help,


From: Marleen de Bruijne <>
Subject: JOB : PhD studentship - Erasmus MC - The Netherlands

The Biomedical Imaging Group Rotterdam ( ) is looking
for a PhD student to work on the analysis of routinely acquired MRI brain


Secondary use of routinely collected healthcare data has proven to
advance medical knowledge especially with regard to drug safety and
disease etiology. In the Netherlands, large population based medical
record databases from general practitioners provide an excellent basis
for research. However, quantitative information on diagnostic images is
lacking. A new research line has been started between the Observational
Data Analysis ( , coordinated by prof. dr. Miriam CJM
Sturkenboom) and BIGR ( , coordinated by prof. dr. WJ
Niessen) at the departments of Medical Informatics and Radiology with
the aim to bridge this gap. The goals are to link imaging information to
these large scale databases and process the imaging information to
obtain markers that can subsequently be used in etiological research.

In this project you will develop and employ automated post-processing
techniques that can cope with the enormous variation in existing
clinical MRI data. Post-processing techniques should allow for
retrospective extraction of quantitative imaging parameters, e.g. lesion
load, shape and volume of brain structures, and brain atrophy and to
quantify changes over time, especially in the following disease areas:
multiple sclerosis, stroke and dementia. We aim to assess the effects of
drugs and vaccinations on the onset of MR confirmed disease, the
different MR-quantitative parameters and on the change of these
parameters over time.


You should have a Master's degree in information technology, physics,
electrical engineering, mathematics, biomedical engineering, computer
science, or a related field. Experience with biomedical image analysis,
image databases and/or databases in general is an advantage. You should
be familiar with programming. You should be able to work in a
multi-disciplinary team. Strong theoretical skills and affinity with
experimental work are required.


Our institute is internationally at the forefront of biomedical imaging
and analysis of observational health care data, and offers a dynamic,
challenging, and cooperative research environment. As a PhD student you
will get a temporary position of four years (full-time). The gross
monthly salary amounts to � 2046 in the first year and increases to �
2622 in the final year.


Requests for information should be directed to Henri Vrooman at .


Applications should include:
* a curriculum vitae;
* a motivation for your application and a description of research interests;
* a list of passed courses and grades;
* a list of publications
* copies of any publications, e.g. your M.Sc. thesis (in English)
The application should be sent by e-mail to Henri Vrooman at before 25 October 2009. The preferred format is

In case you are interested in more than one of the vacancies in our
group, please send a single application and indicate your preference of


From: Jianguo Zhang <>
Subject: CFP : Springer Book on Intelligent IU - 30NOV2009

Intelligent Video Event Analysis and Understanding

To be published in Springer-Verlag in the series "Studies in
Computational Intelligence"

We are soliciting high quality chapter submissions for a book of
Intelligent Video Event Analysis and Understanding. Extended versions
of the best papers from the VECTaR2009 workshop, as well as other high
quality submissions will be considered


Detecting, interpreting and understanding various video events is one of
the ultimate goals of the computer vision system. Despite rapid progress
in this area, there are still a significant number of challenges that need
to be addressed to enable an automatic video event understanding system.
Those challenging include robust detection of event under motion clutters,
event interpretation under complex scenes, multi-level semantic event inference,
putting event in context and multiple cameras, event inference from object
interactions, etc.
To address these and other outstanding challenges, high-quality chapter manuscripts
are particularly welcome in the following areas, but not limited to:
o Motion interpretation and grouping
o Human action representation and recognition
o Abnormal event detection
o Contextual event inference
o Event recognition among a distributed camera network
o Multimodal event recognition
o Spatial temporal features for event categorisation
o Hierarchical event recognition
o Probabilistic graph models for event reasoning
o Machine learning for event recognition
o Global/local event descriptors
o Metadata construction for event recognition
o Bottom up and top down approaches for event recognition
o Event-based video segmentation and summarization
o Video event database gathering and annotation
o Efficient indexing and concepts modelling for video event retrieval
o Semantic-based video event retrieval
o Online video event tagging
o Evaluation methodologies for event-based systems
o Event-based applications (security, sports, news, etc.)


This book aims to present state-of-the-art research advances of video
event understanding technologies. It will provide researchers and
practitioners a richful resource for future research directions and
successful practice. It could also serve as a reference tool and
handbook for researchers in a number of applications including visual
surveillance, human-computer interaction, video search and indexing etc.
Its potential audience will be composed of active researchers and
practitioners as well as graduate students working on video analysis in
various disciplines such as computer vision, pattern recognition,
information security, artificial intelligence, etc.


Researchers and practitioners are invited to submit chapter proposals
before November 30, 2009. The chapter proposals should contain a title,
an abstract, and the outline of the organization. The proposals will be
considered based on the relevance to the book, contribution to the
community, as well as the balance of topics. Authors of accepted
proposals will be notified by December 15, 2009. Full chapters are
expected to be submitted by April 30, 2010. All chapter manuscripts
will be double-blind reviewed.

Authors should prepare their manuscripts by following the instructions
in Springer-Verlag's author's guidelines for the series "Studies in
Computational Intelligence" at

Submissions of chapter proposals and inquiries should be forwarded by
email to the editors at .


Submission of Chapter Proposals November 30, 2009
Notification of Chapter Proposals December 15, 2009
Submission of Full Chapters April 30, 2010
Final Decision on Accepted Chapters June 15 , 2010
Camera-Ready Submission July 31, 2010

Guest Editors:
Dr. Jianguo Zhang, Queen=92s University Belfast, UK
Dr. Ling Shao, The University of Sheffield, UK
Dr. Lei Zhang, Microsoft Research Asia, China
Prof. Graeme A. Jones, Kingston University, UK

Contact email address is


The series "Studies in Computational Intelligence" (SCI) publishes new developments
and advances in the various areas of computational intelligence quickly and
with a high quality. The intent is to cover the theory, applications, and
design methods of computational intelligence, as embedded in the fields of
engineering, computer science, physics and life science, as well as the methodologies
behind them. The series contains monographs, lecture notes and edited volumes
in computational intelligence spanning the areas of neural net-works, connectionist
systems, genetic algorithms, evolutionary computation, artificial intelligence,
cellular automata, self-organizing systems, soft computing, fuzzy systems,
and hy-brid intelligent systems. Critical to both contributors and readers
are the short publication time and world-wide distribution - this permits
a rapid and broad dissemination of research results.
Indexed by DBLP, Ulrichs, SCOPUS, MathSciNet, Current Mathematical Publications,
Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink


From: Christoph Lampert <>
Subject: CFP : ICJV Special Issue on Structured Prediction and Inference - 26FEB2010

Dear colleagues,

we would like to announce an upcoming IJCV special issue
papers follows below. A PDF version is available from
the IJCV website:

Best regards,
Matthew Blaschko and Christoph Lampert

=== === === === === === ===
International Journal of Computer Vision
Special Issue on
Structured Prediction and Inference

Guest Editors
Matthew B. Blaschko, University of Oxford
Christoph H. Lampert, Max Planck Institute for Biological Cybernetics,
Tuebingen, Germany ( )


Many computer visions problems can be formulated naturally as prediction
tasks of structured objects. Image segmentation, stereo reconstruction,
human pose estimation and natural scene analysis are all examples of
such problems, in which the quantity one tries to predict consists of
multiple interdependent parts. The structured output learning paradigm
offers a natural framework for such tasks, and recently introduced
methods for end-to-end discriminative training of conditional random
fields (CRFs) and structured support vector machines (S-SVMs) for image
classification and interpretation show that computer vision is not just
a consumer of existing machine learning developments in this area, but
one of the driving forces behind their development. The complexity of
structured prediction models makes the problem of inference in these
models an integral part of their analysis. While the machine learning
literature has largely focused on message passing, computer vision
research has introduced novel applications of branch-and-bound and graph
cuts as inference algorithms. Articles addressing these issues are
particularly encouraged for submission to the special issue.


Original papers are being solicited that have as topic one or more
aspects of the structured prediction framework in a computer vision
setting, that is they address the problem of prediction from an input
space, such as images or video, to a structured and interdependent
output space. Submissions can be theoretic or applied contributions as
well as position papers. Topics of interest include, but are not limited
* Training for structured output learning
- Probabilistic vs. max-margin training
- Generative vs. discriminative training
- Semi-supervised or unsupervised learning
- Dealing with label noise
* Inference methods for structured output learning
- Exact vs. approximate inference techniques
- Pixel, voxel, and superpixel random field optimization
- Priors and higher order clique optimization
- Approaches that scale to large amounts of training and test data
* Computer vision applications of structured output learning
- Segmentation
- Stereo reconstruction
- Relationship between scene components
- Hierarchical models

Authors are encouraged to submit high quality, original work that has
neither appeared in, nor is under consideration by, other journals. All
open submissions will be peer reviewed subject to the standards of the
journal. Manuscripts based on previously published conference papers
must be extended substantially. Springer offers authors, editors and
reviewers of the International Journal of Computer Vision a web-enabled
online manuscript submission and review system. Our online system offers
authors the ability to track the review process of their manuscript.
Manuscripts should be submitted to: . This online
system offers easy and straightforward log-in and submission procedures,
and supports a wide range of submission file formats.

* Paper submission deadline:
- February 26, 2010
* Estimated Online Publication:
- Fall, 2010


From: Yang Liu <ya...@HLT.UTDALLAS.EDU>
Subject: CFP : ICMI-MLMI 2009 - Cambridge, MA - 02NOV2009

ICMI-MLMI 2009 Call for participants
Cambridge, MA, USA, November 2-6

The conference will take place at the MIT Media Lab, widely known for
its innovative spirit. Organized in Cambridge, Massachusetts, USA,
ICMI-MLMI 09 provides an excellent setting for brainstorming and sharing
the latest advances in multimodal interaction, systems and methods in an
inspired setting of a city, known as one of the top historical,
technological and scientific centers of the US.

Technical program is online,
see for more information.


Cynthia Breazeal, MIT, "Living Better with Robots";

Stephen Brewster, University of Glasgow, "Head-up interaction: Can we
break our addiction to the screen and keyboard?";

Fr�d�ric Kaplan, EPFL, "Are Gesture-based Interfaces The Future of Human
Computer Interaction?".

General Co-chairs:
James Crowley, INRIA
Yuri Ivanov, MERL
Christopher Wren, Google
Program Co-Chairs
Daniel Gatica-Perez, Idiap Research Institute
Michael Johnston, AT&T Research
Rainer Stiefelhagen University of Karlsruhe
Janet McAndless,MERL
Herv� Bourlard, Idiap Research Institute
Student Chair
Rana el Kaliouby, MIT Media Lab
Student Volunteer Chair
Matthew Berlin, MIT Media Lab
Local Arrangements
Clifton Forlines, MERL
Deb Roy, MIT Media Lab
Thanks to Cole Krumbholz, MITRE
Sonya Allin , University of Toronto
Yang Liu, University of Texas at Dallas
Louis-Philippe Morency , University of South California
Xilin Chen, JDL
Steve Renals, University of Edinburgh
Denis Lalanne, University of Fribourg
Enrique Vidal, Polytechnic University of Valencia
Kenji Mase, University of Nagoya

ICMI Advisory Board
Matthew Turk, Chair, UC Santa Barbara (USA)
Jim Crowley, INRIA-Rhone Alpes (France)
Trevor Darrell, UCB/ICSI (USA)
Kenji Mase, University of Nagoya (Japan)
Eric Horvitz, Microsoft Research (USA)
Sharon Oviatt, Adapx (USA)
Fabio Pianesi, ITC-irst (Italy)
Wolfgang Wahlster, DFKI (Germany)
Jie Yang, Carnegie Mellon University (USA)

MLMI Advisory Board
Herv� Bourlard, Idiap Research Institute (Switzerland)
Steve Renals, University of Edinburgh (UK)
Sharon Oviatt, Adapx (USA)
Rainer Stiefelhagen, Universitaet Karlsruhe (Germany)
Jean Carletta, University of Edinburgh (UK)
Catherine Pelachaud, CNRS (France)
Sadaoki Furui, Tokyo Institute of Technology (Japan)
Samy Bengio, Google (USA)
Andrei Popescu-Belis, Idiap Research Institute (Switzerland)


Subject: CFP : NICE:II Iris Images - Univ of Beira

As you are probably aware, during 2007-2009 the SOCIA Lab. (Soft
Computer And Image Analysis Group, University of Beira Interior,
Portugal) held an international contest for iris biometric purposes. It
focused on the segmentation and noise detection of iris images captured
in the visible wavelength and under unconstrained imaging setups. This
contest (NICE.I - Noisy Iris Challenge Evaluation, ) received over 90 participations from over 20
different countries and the best 8 participants were invited to publish
their method in a special issue of the Image and Vision Computing
Journal (IVC, to appear in 2010).

Now, we are organizing the complementary part of the contest (NICE:II)
that will comprise the signatures encoding and matching of previously
segmented noisy iris images. This will complete the evaluation of the
most traditional stages of iris recognition systems: segmentation +
noise detection (NICE.I, IVC Special Issue) and signatures encoding +
matching (NICE:II, Pattern Recognition Letters Special Issue).

Once again, the idea is to publish a special issue describing the best 8
to 10 methods of the contest, which hopefully will constitute an
important step toward the development of less constrained iris
recognition systems. We have already developed the software for the
automatic evaluation of participations and the web page with the most
important information is online (please, check more information at ).

Briefly, the NICE:II is a completely free-of-charge iris encoding and
matching contest that operates on noisy data acquired under less
constrained image capturing conditions and at the visible wavelength.

As before stated, the participations that achieve the lowest error rates
will be invited to publish their approach in the Pattern Recognition
Letters Journal, (ISI Web-of-Knowledge indexed), in the NICE:II special

Detailed information can be found at the contest web site: and in the "pdf" file that is attached to this

We look forward for your participation. You are also invited to propose
the participation in the NICE:II to undergraduated, MSc. or PhD.
students under your supervision.


Subject: CFP : Visual Scene Interpretation - Johns Hopkins - 18NOV2009

Call for Proposals on Visual Scene Interpretation

Dear colleague,

Johns Hopkins University again plans to host a 6-week NSF-supported
Summer Research Workshop. This year one of the workshop topics is:

* VISUAL SCENE INTERPRETATION: New strategies are needed to
parse visual scenes or generic (novel) objects, analyzing an
image as a set of spatially related components. Such strategies
may integrate global top-down knowledge of scene structure (e.g.,
generative models) with the kind of rich bottom-up, learned
image features that have recently become popular for object
detection. They will support both learning and efficient search
for the best analysis.

I am writing because I hope that you will seriously consider LEADING a
workshop team in Summer 2010. This is a great opportunity to
collaborate intensively with researchers from other institutions, using
our resources to make YOUR research breakthroughs.

Just send us a 1-page proposal (by Nov. 18) for how your team would
spend 6 weeks. Proposals should be submitted via e-mail to
by 4PM EST on Wed, November 18, 2009. For details and next steps, see
the CFP below or visit .

If there are other researchers at your institution whom you would
recommend to us for leading such a research effort, please help us by
urging them to submit a research proposal.

Rene Vidal, Assistant Professor of Biomedical Engineering
Johns Hopkins University


From: "Vaclav Skala" <>
Subject: CFP : WSCG2010 - Pilsen, Czech Rep - 15OCT2009

Deadline: October 15, 2009 13:00 GMT for full papers

Great opportunity to explore the Plzen (Pilsen) city, city where today's
beer fermentation was invented ( ). With some time
to spent in Prague, the Golden European city of the Europe
( )


W S C G ' 2010 - Call for Papers
(formerly the Winter School of Computer Graphics)

18-th International Conference in Central Europe
on Computer Graphics, Visualization and Computer Vision 2010
in co-operation with EUROGRAPHICS Association
to be held at University of West Bohemia, Plzen [Pilsen], Czech
Republic, close to Prague - the Golden European City

February 1-4, 2010

Keynote speakers
* Todor Georgiev: Plenoptic Camera and Integral Photography (new developments),
Adobe Systems Inc., USA
* Bedrich Benes: Virtual Landscaping, Purdue University, USA


Computer graphics and visualization, computer vision, integral photography,
image processing and pattern recognition, fundamental algorithms, GPU computation,
graphical human computer interfaces, geometric modeling, computer aided geometric
design, computational geometry, rendering and virtual reality, animation
and multimedia, medical imaging, graphical interaction, object oriented graphics,
parallel and distributed graphics, mathematical aspects, CAD and GIS systems
and others.

Important dates:
Paper upload: October 15, 2009 13:00 GMT
WEB address for upload:
Author's notification: December 10, 2009

Up to 8 pages of A4 format, additional material (video as MPEG, AVI,
color plates etc.) up to 5 MB. Accepted and presented papers and
posters will be published in the WSCG proceedings with ISBN and all
papers will be available on-line on WSCG WEB site with no access
restriction. Feel free to visit , where all papers
are available = on-line since 1992 (no access restriction)

SELECTED papers will be published in the Journal of WSCG, Vol.18. ISSN
1213-6972 ( )

Journal of WSCG and WSCG proceedings, including Communication papers and
posters, are indexed by ISI (Thompson Reuters -
see!-ISI-Record.pdf ).
Journal of WSCG and WSCG proceedings are sent also to other indexing

If you would have a recommendation for a reviewer, please, ask him to
register at and send contact data to subj. WSCG reviewer.

Organizer and conference office
Vaclav Skala, c/o University of West Bohemia, Campus Bory,
Department of Computer Science and Engineering
Univerzitni 8, Box 314, CZ 306 14 Plzen, Czech Republic
Subject: CFP : : Subject: INFO WSCG 2010 Fax: +420-37-78-22-578 Tel./Fax: =


End of VISION-LIST digest 28.8

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