VISION-LIST digest 27.1
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- Date: Fri, 18 Jan 2008 02:16:44 GMT
VISION-LIST Digest Thu Jan 17 18:13:02 PST 2008 Volume 27 : Issue 1
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Today's Topics:
Q&A : Open-source fragments-based tracker
Q&A : Introducing a Segmented Cardiac MRI dataset
JOB : IEEE TPAMI Editor-in-Chief - IEEE - 15MAR2008
JOB : Tenured post - Ecole Centrale de Paris - FRANCE
JOB : Tenure-track opening - Penn State Univ - PA
JOB : Post-Doc - INRIA - Sophia Antipolis, France
JOB : Post-Doc - Université Nice-Sophia - Antipolis, France
JOB : Postdoc Fellow/Research Scientist Position - Univ Houston - TX
JOB : Ph.D. and PostDoc positions - Eindhoven Univ of Tech - NL
JOB : Postdoc - RPI - Troy, NY
JOB : Post Doc - Trinity College - IRELAND
JOB : Postdoc - National Univ of Singapore - Singapore
JOB : Postdoc - Rutgers Univ - NJ
JOB : Postdoc - Cranfield Univ - UK
JOB : Summer (Undergraduate) Intern - GE Healthcare - Ontario, Canada
CFP : CVIU special issue - 31MAR2008
CFP : CVPR WS on Visual Localization - Alaska - 14MAR2008
CFP : BMVC2008 - Leeds, UK - 21APR2008
CFP : IEEE J Selected Topics in SP - 15APR2008
CFP : MVA Special Issue - 31AUG2008
----------------------------------------------------------------------
From: "Amit Adam" <amita@xxxxxxxxxxxxxxxxx>
Subject: Q&A : Open-source fragments-based tracker
You are invited to use and experiment with a recent fragments-based
tracker. The tracker employs a recognition-by-parts approach, where
multiple patches from the template image vote on the target position in
the next frame. The tracker is able to handle significant occlusions by
robustly combining the multiple vote maps.
A C+-+- implementation, together with instructions for usage and example
sequences, is available at the following web page:
http://www.cs.technion.ac.il/+AH4-amita/fragtrack/fragtrack.htm
Best regards, Amit Adam
------------------------------
From: Alexander Andreopoulos <alekos@xxxxxxxxxxxx>
Subject: Q&A : Introducing a Segmented Cardiac MRI dataset
We would like to introduce a dataset of short axis cardiac MR images.
The images are of the human left ventricular with marked endocardial and
epicardial borders. The dataset is available at:
http://www.cse.yorku.ca/~mridataset/
The dataset consists of 256x256 pixel MR images acquired from 33 normal
and abnormal subjects. These are annotated appropriately. Each
subject's sequence consists of 20 frames and 8-15 slices along the long
axis, for a total of 7980 images. Each of the 7980 images were manually
segmented, where both the endocardium and epicardium of the left
ventricle were visible, for a total of 5,011 segmented MR images and
10,022 contours. No identifying information is included. The
segmentations were supervised and approved by the cardiology staff at a
local hospital.
This dataset is provided for research purposes only and there are no
warranties provided nor liabilities assumed by York University nor the
researchers involved in the production of this dataset.
Use is free of charge; we respectfully ask that if you use this dataset,
you cite the following paper as its source:
Alexander Andreopoulos, John K. Tsotsos: Efficient and Generalizable
Statistical Models of Shape and Appearance for Analysis of Cardiac MRI,
Medical Image Analysis, (in press)
Sincerely Yours
Alexander Andreopoulos
John K. Tsotsos
------------------------------
From: "Patrick J. Flynn" <flynn@xxxxxx>
Subject: JOB : IEEE TPAMI Editor-in-Chief - IEEE - 15MAR2008
Applications are Invited for the Position of Editor-in-Chief for IEEE
Transactions on Pattern Analysis and Machine Intelligence
The IEEE Computer Society seeks applicants for the position of Editor-
in-Chief (EIC) of IEEE Transactions on Pattern Analysis and Machine
Intelligence. The initial two-year term of the new EIC is to begin 1
January 2009.
QUALIFICATIONS AND REQUIREMENTS
In general, candidates for all IEEE Computer Society Editor in Chief
positions should possess a good understanding of industry, academic,
and government aspects of the specific publication=92s field. IEEE
Transactions on Pattern Analysis and Machine Intelligence emphasizes
all traditional areas of computer vision and image understanding, all
traditional areas of pattern analysis and recognition, and selected
areas of machine intelligence. In addition, candidates must demonstrate
the managerial skills necessary to process manuscripts through the
editorial cycle in a timely fashion. An EIC must be able to attract
respected experts to his or her editorial board. Major responsibilities
of the EIC include
* actively soliciting high-quality manuscripts from potential authors and,
with support from publication staff, helping these authors to get their
manuscripts published;
* identifying and appointing editorial board members, with the concurrence
of the Publications Board;
* selecting competent manuscript reviewers, with the help of editorial board
members, and managing timely reviews of manuscripts;
* directing editorial board members to seek special-issue proposals and
manuscripts in specific areas;
* providing a clear, broad focus through promotion of personal vision and
guidance where appropriate; and
* resolving conflicts or problems as necessary.
Applicants should possess recognized expertise in the computer science
and engineering community, have editorial experience, and be able to
lead an active editorial board and work effectively with technical and
publishing professionals. Applicants must have clear employer support.
SEARCH PROCEDURE
Prospective candidates are asked to provide a complete resume or curriculum
vitae, a brief plan (or vision statement) for the publication's future, and
a letter of support from their institution or employer in electronic form
by 15 March 2008. Material should be sent as PDF files to Alicia Stickley
< astickley@xxxxxxxxxxxx >, the staff coordinator for the IEEE TPAMI, who
will coordinate getting all information to the search committee and its
Chair.
------------------------------
From: nikos.paragios@xxxxxx
Subject: JOB : Tenured post - Ecole Centrale de Paris - FRANCE
Assistant Professor/Machine Learning/Medical Imaging/Computer Vision
Ecole Centrale de Paris
http://www.ecp.fr
Department of Applied Mathematics
The Department of Applied Mathematics of Ecole Centrale de Paris had one
immediate opening for a tenured faculty position at the level of
assistant professor in the following areas: machine learning (with
applications in medical imaging, vision/graphics), medical imaging or
computer vision. Applicants are expected to have a Ph.D. in Applied
Mathematics, Computer Science or a closely related field, proven
research credentials and ability to carry on independent research.
He/She is expected to enforce on-going research activities in the above
mentioned areas.
Ecole Centrale de Paris, is one of the most exclusive engineering
schools in France (Grande Ecoles) ranked among the top three. It is
located in the greater Paris region and is accessible from Paris via
public transportation. It has a long tradition on admitting and forming
engineers of the highest quality, through a very competitive process.
The candidate is expected to closely collaborate with INRIA
Futurs/Saclay - a leading research organization in the area of
informatics and engineering, as well as with the top clinical and
industrial players in the field.
Applications should be submitted via e-mail to Prof. Nikos Paragios
(nikos.paragios@xxxxxx). Applications should include a curriculum
vitae, research statement, and contact information for three references.
Text or PDF are strongly preferred for all application materials and
reference letters.
Review of applications will begin on February 15, 2008.
Nikos Paragios, Professor http://vision.mas.ecp.fr
http://www.mas.ecp.fr/vision/Personnel/nikos
Ecole Centrale de ParisDepartment of Applied Mathematics
Grande Voie des Vignes 92295 Chatenay-Malabry, France
Phone +33 (0) 1-4113-1785 Fax+33 (0) 1-4113-1735
Chatenay-Malabry, France mailto:nikos.paragios@xxxxxx
------------------------------
From: Robert Collins <rcollins@xxxxxxxxxxx>
Subject: JOB : Tenure-track opening - Penn State Univ - PA
Original posting at
http://www.cse.psu.edu/resources/employment/facultyemp.php
Applications are invited for several tenure-track faculty positions at
all ranks. Outstanding candidates in all areas of computer science and
engineering will be considered. Areas of particular interest are:
software systems with an emphasis on operating systems, storage systems,
and virtualization; computational discovery including combinatorial
scientific computing, data mining, modeling and visualization; and
computer vision and machine learning.
The Department of Computer Science and Engineering (CSE) has 32
collegial, tenure-track faculty. The university is committed to growing
the faculty ranks over the next several years. Eleven members of our
faculty are recipients of the NSF Career Award. In recent years, our
faculty received seven NSF ITR Grants, a $2.5M Research Infrastructure
Grant, eleven NSF combined Cyber Trust and Networking awards, and
several awards from DARPA and ARL. There are state-of-the-art research
labs for computer systems, computer vision and robotics, microsystems
design and VLSI, networking and security, scientific computing,
bioinformatics and virtual environments. The Department offers a
graduate program with over 40 Masters students and 140 Ph.D. students,
and undergraduate programs with minimum GPA requirements in computer
science and computer engineering. In December, 2003, the Department
relocated into a new 100,000 square feet building
(http://www.cse.psu.edu/info/istbuilding.php).
Penn State is a major research university and is ranked third in the
nation in industry-sponsored research. Computer science is ranked 11th
in the nation in research expenditures. US News and World Report
consistently ranks PSU's College of Engineering undergraduate and
graduate programs in the top 15 of the nation. The computer science and
engineering undergraduate and Doctoral programs are ranked in the top 20
by the US News and World Report. As reported in the Chronicles of Higher
Education, computer science is ranked 3rd and computer engineering is
ranked 8th in the nation, respectively.
The university is located in the beautiful college town of State College
in the center of Pennsylvania. State College has 40,000 inhabitants and
offers a variety of cultural and outdoor recreational activities nearby.
The university offers outstanding events from collegiate sporting events
to fine arts productions. Many major population centers on the east
coast (New York, Philadelphia, Pittsburgh, Washington D.C., Baltimore)
are only a few hours drive away and convenient air services to several
major hubs are operated by four major airlines out of State College.
Applicants should hold a Ph.D. in computer science, computer
engineering, or a closely related field and should be committed to
excellence in both research and teaching. Support will be provided to
the successful applicants for establishing their research programs. We
encourage dual career couples to apply. Applications should be received
by January 31, 2008 to receive full consideration. To apply by
electronic mail, send your resume (including curriculum vitae and the
names and addresses of at least three references) as a postscript file
or pdf file to recruiting@xxxxxxxxxxxx Applications may also be sent by
mail to:
Chair, Faculty Search Committee
The Pennsylvania State University
Department of Computer Science and Engineering, FIX, Box BIO
University Park, PA 16802-6106 USA
For more information about the Department of CSE at Penn State, see
http://www.cse.psu.edu. Click here to fill out an Affirmative Action
Applicant Data Card. Our search number is 015-48. You MUST include this
search number in order to submit this form.
Penn State is committed to affirmative action, equal opportunity and the
diversity of its workforce.
------------------------------
From: Corinne Mangin <Corinne.Mangin@xxxxxxxxxxxxxxx>
Subject: JOB : Post-Doc - INRIA - Sophia Antipolis, France
Duration: 12 months, available from now.
Subject: JOB : Curve detection in 3D images by variational and PDE approaches
This offer is sponsored by the ANR (French National Research Agency).
The participants are the Ariana group from the I3S laboratory and INRIA
Sophia Antipolis, the department of mathematics of Nice University (J-A.
Dieudonné), the Pasteur Institute in Paris, and the French company Sagem
DS in Argenteuil.
Post-doc location: Ariana group at INRIA Sophia Antipolis
http://www-sop.inria.fr/ariana/ , with regular visits to the Pasteur
Institute in Paris. Salary will be given by CNRS.
The detection of singularities of codimension greater than or equal to
two in 3D images (for example, filaments), is an important issue for
biological imaging. Some previous work has addressed this problem
through the minimization of a Ginzburg-Landau type functional [1, 2].
These models use the analogy between the filaments to be detected and
the electric or magnetic vector field created by a line of electric
current. In this work, we propose to introduce a new functional inspired
by the approximation of free discontinuity problems by means of
?-convergence theory, for example the Mumford and Shah functional in
segmentation [3]. The work will first consist in finding an initial
vector field linking the image data to the vector field modelling the
filaments. Then the proposed new functional will be minimized and
analyzed from a mathematical point of view. Finally various tests will
be performed on real biological images supplied by the Pasteur Institute.
[1] G. Aubert , J-F. Aujol, L. Blanc-Féraud, 2005, "Detecting
Codimension-2 objects in an image with Ginzburg-Landau models",
International Journal of Computer Vision, Vol. 65, (1-2), pp. 29-42.
[2] A. Baudour, G. Aubert, L. Blanc- Féraud "Detection and Completion of
Filaments: A Vector Field and PDE Approach" In SSVM 2007, LNCS 4485
proceedings, 2007.
[3] L. Ambrosio, V.M. Tortorelli "Approximation of functional via
?-convergence" Commun. Pure & Appli. Math., 43 : 999-1036, 1990.
An ideal candidate should have had lectures on the mathematical theory
of variational methods and PDEs, and image processing. Programming
skills in C/C++/Matlab are desired.
Please apply by sending the following documents (in PDF format) to
blancf@xxxxxxxxxxxxxxx
--- CV
--- marks obtained for your last degree
--- date of availability
--- list of publications and PhD Thesis
--- recommendation letter from your PhD supervisor, plus others if possible.
Corinne MANGIN
Ariana & SmarTools research teams
INRIA - Centre de recherche Sophia Antipolis - Méditerranée
2004, route des Lucioles, BP 93, 06902 Sophia Antipolis Cedex FRANCE
Phone : +33 (0) 492 38 78 57 Fax : +33 (0) 492 38 76 43
Email : Corinne.Mangin@xxxxxxxxxxxxxxx
http://www.inria.fr/ariana/personnel/Corinne.Mangin/index.html
------------------------------
From: Corinne Mangin <Corinne.Mangin@xxxxxxxxxxxxxxx>
Subject: JOB : Post-Doc - Université Nice-Sophia - Antipolis, France
Duration: 12 months, available from now.
Subject: JOB : A new functional for target detection in infrared images
This offer is sponsored by the ANR (French National Research Agency).
The participants are the Ariana group from the I3S laboratory and INRIA
Sophia Antipolis, the department of mathematics of Nice University (J-A.
Dieudonné), the Pasteur Institute in Paris, and the French company Sagem
DS in Argenteuil.
Post-doc location: PDE and Numerical Analysis team, Department of
Mathematics J.A Dieudonné, University of Nice Sophia Antipolis, with
regular visits to Paris (Sagem DS and CMLA ENS Cachan).
The detection of singularities of codimension greater than or equal to
two in 2D or 3D images, for example the detection of points in 2D images
or filaments in 3D images, is an important issue for biological imaging
(with Pasteur Institute) and for 2D+t infrared images (with Sagem DS).
Some previous work has addressed these problems through the minimization
of a Ginzburg-Landau type functional [1, 2]. These models use the
analogy between the filaments to be detected and the electric or
magnetic vector field created by an electric current in a wire. In this
work, we propose to study a new functional for target detection in 2D+t
images. This functional is in the same vein as those proposed in [1] for
the detection of points in 2D images. The work will first consist in
finding an initial vector field linking the image data to the vector
field modelling the target. In this study, it will be necessary to take
into account the movement of the camera and then to describe the target
well, possibly using statistical methods. The proposed new functional
will be analyzed from a mathematical point of view, and various tests
will be performed on real infrared images supplied by Sagem DS.
[1] G. Aubert , J-F. Aujol, L. Blanc-Féraud, 2005, "Detecting
Codimension-2 objects in an image with Ginzburg-Landau models",
International Journal of Computer Vision", Vol. 65, (1-2), pp. 29-42.
[2] A. Baudour, G. Aubert, L. Blanc- Féraud "Detection and Completion of
Filaments: A Vector Field and PDE Approach" In SSVM 2007, LNCS 4485
proceedings, 2007.
The ideal candidate should have had lectures on the mathematical theory
of variational methods and PDEs, and image processing. Programming
skills in C/C++/Matlab are desired.
Please apply by sending the following documents (in PDF format) to
gaubert@xxxxxxxxxxxxx
--- CV
--- marks obtained for your last degree
--- date of availability
--- list of publications and PhD Thesis
--- recommendation letter from your PhD supervisor, plus others if possible.
Corinne MANGIN
Ariana & SmarTools research teams
INRIA - Centre de recherche Sophia Antipolis - Méditerranée
2004, route des Lucioles, BP 93, 06902 Sophia Antipolis Cedex FRANCE
Phone : +33 (0) 492 38 78 57 Fax : +33 (0) 492 38 76 43
Email : Corinne.Mangin@xxxxxxxxxxxxxxx
http://www.inria.fr/ariana/personnel/Corinne.Mangin/index.html
------------------------------
From: "Brunner, Gerd " <gbrunner@xxxxxxxxxxxxxx>
Subject: JOB : Postdoc Fellow/Research Scientist Position - Univ Houston - TX
Job description:
Postdoctoral Fellow / Research Scientist position in Biometrics
Applications are invited for a Postdoctoral Fellow/Research Scientist
position at the Computational Biomedicine Lab (www.cbl.uh.edu),
University of Houston in the area of Biometrics.
CBL's Face recognition software (URxD) ranked first in the 3D-shape
section of the recent Face Recognition Vendor Test (FRVT) organized by
NIST ( http://www.uh.edu/admin/media/nr/2007/07july/073007urxd.html ).
The Computational Biomedicine Lab provides a unique interdisciplinary
research environment with internationally recognized collaborators. The
position entails research in novel biometrics. The candidate will
benefit from mentorship of a diverse research team and will be exposed
to cutting-edge technology.
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 biometrics experience 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 ioannisk@xxxxxx , with subject
line "PDF/RSP: (your name)".
For more information please email Prof. Kakadiaris ( ioannisk@xxxxxx ).
Houston offers an outstanding environment for research and professional
opportunities for growth and collaboration, including the largest
medical center in the country. UH is an equal employment opportunity
employer and smoke-free environment. Women and minority candidates are
strongly encouraged to apply.
------------------------------
From: Video Coding and Architectures research group <vca-sps@xxxxxx>
Subject: JOB : Ph.D. and PostDoc positions - Eindhoven Univ of Tech - NL
ABOUT THE VIDEO CODING AND ARCHITECTURES GROUP
The Video Coding and Architectures research group
( http://vca.ele.tue.nl ) is part of the Signal Processing Systems
department at the Eindhoven University of Technology in the Netherlands.
The VCA group carries out long-term research on image-processing
algorithms and also applied research on video-processing hardware
architectures. Research topics include, among other, video analysis,
multiprocessor video systems, video segmentation, 3D scene
reconstruction, multi-view video compression and 3D video streaming.
RESEARCH PROJECT
Several research positions are available starting from 2008, in the
Video Coding and Architectures group, both at Ph.D. and post-doctoral
level.
The Ph.D candidates and the post-doctoral research fellow will work in
the framework of the IGlance EU project jointly led with University of
Eindhoven, INRIA Grenoble, STMicroelectronics, Philips Applied
Technologies, Philips 3D Solutions and SiliconHive. The project focuses
on the problem of acquisition, compression and rendering of
3D/multi-view video. In this context, the goal of the Ph.D. project is
to investigate, develop and test algorithms for:
- depth estimation and 3D video scene modeling,
- multi-view video compression, and
- implementation of 3D image processing and rendering using graphic
processors.
For an overview of a related project, see
http://vca.ele.tue.nl/demos/mvc/index.html .
POSITION REQUIREMENTS AND APPLICATION
The ideal candidate should hold a MSc degree in computer science or electrical
engineering with emphasis on signal processing, image/video processing, computer
vision and good programming skills, preferably in C or C++. For post-docs,
experience in image processing and a good track record of publications is
a must.
Applications should be sent via email to Prof. Dr. Peter H.N De With and
Yannick Morvan. Contact information available at:
http://vca.ele.tue.nl/people/deWith.html
http://vca.ele.tue.nl/people/Morvan.html
Download pdf description of the vacancy at
http://vca.ele.tue.nl/vacancies/IGlance.pdf
------------------------------
From: Qiang Ji <qji@xxxxxxxxxxxx>
Subject: JOB : Postdoc - RPI - Troy, NY
A postdoctoral research associate is available immediately with the
Intelligent Systems Laboratory (ISL) at Rensselaer Polytechnic Institute
(RPI), Troy, New York, We are looking for candidates with strong
experience in facial expression recognition, gesture recognition, or
human body tracking. Knowledge and experience in graphical models and
their application in computer vision are especially welcome. Interested
candidates, please contact Dr. Qiang Ji at jiq@xxxxxxx . Additional
information about research at ISL may be found at
http://www.ecse.rpi.edu/~qji/
------------------------------
From: Gerard Lacey <gerard.lacey@xxxxxxxxx>
Subject: JOB : Post Doc - Trinity College - IRELAND
THE PROJECT
The School of Computer Science and Statistics, Trinity College Dublin is
leading a project to develop a collision avoidance warning system for
commercial aircraft when they are manoeuvring in crowed airports. We
will be using multiple cameras in addition to GPS and IMU to perform
localisation and collision avoidance. A significant component of this
research will be the human interface to the system, this element of the
research will be undertaken in collaboration with the Aerospace
Psychology Research Group (APRG) in TCD.
THE ROLE
This role will require a PhD or equivalent industrial experience (i.e.
4+ years) in image processing or mobile robotics. This person will have
strong programming skills in c/c++ and demonstrated the ability to
perform novel research, write research papers etc. in the areas of image
processing and mobile robotics. This research will involve working
closely with a multi-disciplinary team from the aerospace industry so
good communication skills are essential.
THE POSITION
The position is for up to three years with an earliest start date of
January 2008. The candidate can expected to be appointed at about
Point 1 on the Post-Doctoral Researcher salary scale (indicative salary
?40,000 + pension) depending on qualifications and experience. The
successful candidate will report to the Principal Investigator Dr Gerard
Lacey. There are no relocation expenses with this appointment. Trinity
College Dublin is an equal opportunities employer.
Trinity College Dublin , IRELAND .
The Trinity College Dublin (TCD) founded in 1592, is the oldest
university in Ireland . Standing on a self-contained site in the heart
of Dublin , the College covers some 40 acres of cobbled squares and
green spaces, around buildings that represent the accumulated
architectural riches of nearly three centuries. TCD was ranked 53rd in
the top world universities by the Times Higher Education Supplement's
ranking of universities 2007. At present there are over 12,000 students
and 1,200 staff and a research income of ?63.9M (?04/'05).
The Department of Computer Science (www.cs.tcd.ie) is one of the largest
units within Trinity College Dublin and over the last five years has
produced 120 papers in refereed journals, 449 refereed conference papers
and a number of spin-off companies.
Applications
A detailed CV including contact details for two referees and a letter
outlining your suitability of this post should be sent to
Gerard.Lacey@xxxxxxxxx .
TRINITY COLLEGE IS AN EQUAL OPPORTUNITIES EMPLOYER
http://www.tcd.ie/vacancies/ec_aca_postdocMobileRoboticsNov07.php
------------------------------
From: "Cheong Loong Fah" <eleclf@xxxxxxxxxx>
Subject: JOB : Postdoc - National Univ of Singapore - Singapore
Postdoctoral Fellow Position
3D Scene Modeling and Understanding for Interactive Space Applications
A postdoctoral fellow position is available at the Department of
Electrical and Computer Engineering, National University of Singapore
(NUS). The position is to study various problems including large scale
scene reconstruction, object modeling, and object and action recognition
from video sequences. We focus on novel theoretical and algorithmic
contributions, but also the design of associated proof-of-concept
prototypes.
The successful candidate will join a project team comprising a
multi-disciplinary group of experts, working together to explore how the
physical and virtual influence each other, and laying the ground for the
emergence of new lifestyles and new forms of social organization. It is
part of a bigger drive to establish Singapore at the forefront of the
interactive media revolution worldwide and in the Asia Pacific region
and to assist in the development of creative industries and cultural
exuberance for Singapore.
The successful candidate should have a PhD or equivalent degree, and
he/she should have a strong theoretical background in the relevant areas
of Computational Vision such as structure from motion analysis, 3d scene
reconstruction, moving object detection, etc. Strong applied mathematics
and/or graphics background is a plus. Strong publications in
internationally recognized conferences or journals are required.
The position is available from January 2008 and is funded for 3 years.
Salary is competitive. Please send a resume, papers, and names of 3
references to:
Dr Cheong Loong Fah, Department of Electrical & Computer Engineering
Faculty of Engineering, 4 Engineering Drive 3, Singapore 117576.
Email: eleclf@xxxxxxxxxx
We will begin reviewing applications for the position immediately.
------------------------------
From: "Kristin Dana" <kdana@xxxxxxxxxxxxxxx>
Subject: JOB : Postdoc - Rutgers Univ - NJ
Postdoctoral Research Opportunity in Computer Vision
Rutgers University, ECE Department, New Jersey.
Research project involves measuring and modeling surface appearance.
Significant experience in developing algorithms for computer vision,
pattern recognition and machine learning is required. Candidate should
be proficient in C++ and Matlab. Knowledge of basic optics is a plus.
Computer graphics experience with OpenGL or CG is a plus.
A twelve month commitment is required. Possible extension after initial
12 month period.
Responsibilities:
* Develop algorithms for appearance manifolds
* Implement and test optical measurement system
* Write scientific papers and reports.
QUALIFICATIONS
* Ph.D degree in EE, CS, or related field
* Fluent in Matlab and C++ programming
* At least 3 years computer vision research experience
* At least 5 years of programming experience.
* Strong publishing record
* USA working permission and residence
Application: Interested person(s) should submit resume and 3 references (via
email) to:
Kristin Dana, Associate Professor
Rutgers, the State University of New Jersey
Electrical and Computer Engineering Department
94 Brett Road, Piscatway, NJ 08854
kdana@xxxxxxxxxxxxxxx
http://www.ece.rutgers.edu/~kdana
------------------------------
From: "Toby Breckon" <toby.breckon@xxxxxxxxxxxxxxx>
Subject: JOB : Postdoc - Cranfield Univ - UK
Research Fellow/Officer - 3D Computer Vision & Image Analysis
School of Engineering, Cranfield University, UK
=A327,665 to =A330,835 per annum
(depending on qualifications and experience)
We are seeking a suitably qualified Researcher to work on a computer
vision project in the Applied Mathematics and Computing Group in the
School of Engineering. The Group has a strong record in applied research
in the academic and industrial sectors including computer vision and
image processing.
Your research and development activity will primarily be related to the
automated identification and classification of explosives and weapons
related threats within 3D CT imagery of passenger baggage. This is a
collaborative project with a consortium led by the Home Office
Scientific Development Branch. Your work will involve the adaptation of
established CT segmentation algorithms from the medical domain towards
the task of improving current baggage visualisation and object/item
separation. In addition you will work on the application of machine
learning based techniques to investigate the automatic detection of
potential baggage threats. You will work as part of a
cross-organisational project and be expected to contribute to project
meetings and publications. In addition you may also have the opportunity
to work on other related projects within the Cranfield research group.
You will have a strong background in image processing, image analysis,
computer vision, visualisation or a related field of computer science or
computer engineering. Ideally you will have a specific interest or
experience in object recognition or image classification systems and
some experience relevant to the 3D visualisation/recognition domain.
You will have a good first degree in computer science, artificial
intelligence or a related subject and a PhD or strong experience in a
relevant topic. Candidates without a PhD will also be considered,
postgraduate experience at MSc level desirable. Prior experience is
essential in:
- programming (C, C++)
- computer vision, image processing or image analysis techniques
Additional 3D medical (e.g. CT, MRI) or industrial computer vision or
image analysis experience desirable but not essential. This appointment
will be for a fixed term of 24 months in the first instance, to commence
February 2008.
For an informal discussion please contact Professor Thompson, Head of
the Applied Mathematics and Computing Group, E: amac@xxxxxxxxxxxxxxx or
Dr Breckon, Principle Investigator, E: toby.breckon@xxxxxxxxxxxxxxx .
Application forms and further details are available from the Human
Resources Department, Cranfield University, Cranfield, Bedford MK43
0AL.
E: hr@xxxxxxxxxxxxxxxx W: www.cranfield.ac.uk/hr
Alternatively, telephone our 24 hour Recruitment Line on +44 (0)1234
750111 ext 2000 quoting reference number C/8009J.
------------------------------
From: "Li, Shuo (GE Healthcare)" <Shuo.Li@xxxxxx>
Subject: JOB : Summer (Undergraduate) Intern - GE Healthcare - Ontario, Canada
Two summer undergraduate research interns are available in GE London,
ON, Canada.
Ideal candidate should be a third year or fourth year undergraduate
student. They will conduct cutting-edge research with leading
researchers at GE Healthcare, Western, Robarts Research Institute,
Lawson Health Research Institute, and London Health Sciences Centre
(LHSC) in the field of medical image analysis and visualization. They
will gain opportunities to directly interact with radiologists for
problem definition, solution development, and validation.
GENERAL REQUIREMENTS:
We will only consider undergraduate students with degrees from computer
science, electrical engineering, computer engineering, physics, medical
biophysics or other engineering disciplines with a strong interest in
research or development. They should be familiar with either matlab or
C++/C#. They should have some experience with image processing.
For consideration, please send a cover letter and CV to: shuo.li@xxxxxx
Only top students are encouraged to apply.
Please put the following in the subject: "GE-London-UND".
Shuo Li, Ph.D
Image Research Scientist, Project Manager
GE Healthcare
------------------------------
From: henning.mueller@xxxxxxxxxxxx
Subject: CFP : CVIU special issue - 31MAR2008
CALL FOR PAPERS
Computer Vision and Image Understanding
Special Issue on Image and Video Retrieval Evaluation
Guest Editors:
Allan Hanbury, Vienna University of Technology, Austria
Henning Müller, University and Hospitals of Geneva, Switzerland
Paul Clough, The University of Sheffield, UK
Important Dates:
Manuscript submission: 31 March 2008
Acceptance Notification: 1 September 2008
Final Manuscript Due: 1 November 2008
Special Issue to Publisher: 15 January 2009
Expected Publication Date: Mid 2009
Summary:
Visual information is ubiquitous and the amount produced with cheap
digital cameras is rising strongly. To better manage this information,
content-based image and video retrieval has been proposed for general
retrieval as well as in specialised domains. While many techniques have
been developed for image and video retrieval, one of the problems is
that many published approaches are very difficult to compare to each
other as varying databases, performance measures, and methodologies are
used.
In order to mitigate this problem, there has been increased focus on the
evaluation of visual information retrieval systems in the last years.
Similar to the text retrieval domain many years ago, several visual
information retrieval benchmarks with a varying focus have been created
and run. This evaluation is particularly important as many visual
information retrieval techniques and systems are at the point where they
are ready to leave the academic field and become integrated into
commercial prototypes and products. This requires techniques not only to
be interesting as theoretical approaches but also to be comparable with
respect to performance obtained.
The role of this special issue is to fill the need for a comprehensive
overview of the current visual information retrieval evaluation
activities. This is envisioned to include evaluation campaigns as well
as activities at a lower level, such as dataset creation, innovative
approaches to ground truth collection and relevance judgements,
discussion of evaluation metrics and the planning of ?realistic? queries
and user models.
Scope:
The scope of this special issue is to cover all aspects of the evaluation
of visual information retrieval.
Topics of interest include (but are not limited to):
* Evaluation campaigns
* Evaluation techniques
* Evaluation metrics
* Datasets and dataset creation
* Query topic creation
* Ground truth collection
* Relevance judgements
* Evaluation of image and video features for retrieval
* Challenges in image and video retrieval evaluation
* User requirement modelling and user modelling
* Evaluation of user interfaces to search engines
Submission Procedure:
Papers should be appropriate for journal publication.
Submissions should follow the guidelines set out by the CVIU.
When submitting papers, the authors should select the specific article
type indicated AND include a line in their cover letter as a failsafe
[example: "This manuscript is submitted to the Special Issue on Image
and Video Retrieval Evaluation"]. All papers should be submitted via
the CVIU web-site with Article Type ?Special Issue: Retrieval
Evaluation?
http://ees.elsevier.com/cviu/
Full author guides (Preparation of Manuscript, Copyright and
Permissions, Author Inquiries, Submission of Manuscripts) and on-line
submission links can be found at the above link.
All papers will be peer reviewed following the CVIU reviewing procedures.
Contacts:
Please address all correspondence concerning this special issue to the
Guest Editors:
Allan Hanbury ( hanbury@xxxxxxxxxxxxxxxxx )
Henning Müller ( henning.mueller@xxxxxxxxxxxx )
Paul Clough ( p.d.clough@xxxxxxxxxxxxxxx )
------------------------------
From: Motilal Agrawal <agrawal@xxxxxxxxxx>
Subject: CFP : CVPR WS on Visual Localization - Alaska - 14MAR2008
Call for Papers
Workshop on Visual Localization for Mobile Platforms
To be held in conjunction with CVPR 2008
28 June 2008, Anchorage, Alaska
WEBSITE
http://www.ai.sri.com/conf/cvpr08
CONTACT
agrawal@xxxxxxxxxx
RELEVANT TOPICS
Visual Odometry
Visual SLAM
Monocular and multi camera localization
Mapping using omni directional cameras
Features for visual tracking
Wide baseline scene matching
Landmarks recognition
Visual loop closure in small and large environments
Integration of vision sensors with exogenous sensors (IMUs, motion
constraints,etc.)
Stability and robustness of SLAM in small environments
Large-scale and outdoor mapping
IMPORTANT DATES
Paper submission: Mar 14, 2008
Acceptance notification: April 14, 2008
Final papers due: April 30, 2008
Workshop: June 28, 2008
------------------------------
From: "Mark Everingham" <me@xxxxxxxxxxxxxxxx>
Subject: CFP : BMVC2008 - Leeds, UK - 21APR2008
CALL FOR PAPERS
British Machine Vision Conference 2008
1st-4th September 2008, Leeds, UK
http://www.comp.leeds.ac.uk/bmvc2008/
The British Machine Vision Conference is the main UK conference on
machine vision and related areas. Organised by the British Machine
Vision Association, the 19th BMVC will be held 1st-4th September 2008 at
the University of Leeds, Leeds, UK.
Authors are invited to submit full-length high-quality papers in image
processing and machine vision. Topics include, but are not limited to:
* Statistics and machine learning for vision
* Model-based vision
* Stereo, calibration, and geometry
* Image processing techniques and methods
* Person, face, and gesture recognition
* Texture, shape, and colour
* Motion, flow and tracking
* Video analysis
* Segmentation and feature extraction
* Document processing and recognition
* Biomedical applications
* Vision for visualisation and graphics
All papers will be blind-refereed by three members of the international
programme committee. Successful papers will be presented at the
single-track conference. Proceedings will be published in paper and
electronic form and distributed at the conference and online.
In addition to the contributed papers, the conference will include
keynote presentations by Ramin Zabih, Professor of Computer Science and
Radiology at Cornell University, USA, and Cordelia Schmid, INRIA
Research Director at INRIA Rhones-Alpes, France.
The conference registration includes a pre-conference tutorial, to be
given by Phil Torr of Oxford Brookes University, UK, on the topic of
discrete optimization methods for computer vision.
WORKSHOPS
We hope to offer delegates an additional workshop on the 4th of
September. Proposals for workshops are invited - please contact
the organizers.
IMPORTANT DATES
Paper submission: 21st April 2008 (submission open now)
Notification of acceptance: 23rd June 2008
Camera-ready papers: 21st July 2008
Main conference: 1st-4th September 2008
A PDF flyer of this CFP is available at
http://www.comp.leeds.ac.uk/bmvc2008/docs/cfp.pdf
------------------------------
From: "Jinshan Tang" <jtang@xxxxxxxxxx>
Subject: CFP : IEEE J Selected Topics in SP - 15APR2008
CALL FOR PAPERS
IEEE Journal of Selected Topics in Signal Processing
Special Issue on: Digital Image Processing Techniques for Oncology
Lead guest editor:
Jinshan Tang, Alcorn State University, Alcorn State, MS, USA,
jtang@xxxxxxxxxx
Guest editors:
Raj Rangayyan, University of Calgary,Calgary, Alberta, Canada,
ranga@xxxxxxxxxxx
Yongyi Yang, Illinois Institute of Technology, Chicago, IL, USA,
yy@xxxxxxxxxxx
Jianhua Yao, National Institute of Health,Bethesda, MD, USA,
JYao@xxxxxxxxxx
AIM AND SCOPE:
Cancer has been one of the biggest threats to human life for many years,
and is expected to become the leading cause of death over the next few
decades. Based on the statistics of the World Health Organization (WHO),
cancer accounted for 13% of all deaths in the world in 2005; deaths from
cancer are expected to rise in the future, with an estimated 11.4
million dying due to cancer in 2030. Therefore, detection and diagnosis
of cancer have become a significant area of research activity in the
medical imaging and image processing communities. Modern imaging
technology has already had life-saving effects on the ability to detect
cancer early and to diagnose the disease more accurately. In order to
improve further the efficiency and veracity of diagnosis and treatment,
image processing techniques are being developed and applied for the
detection, recognition, and analysis of cancer; for the evaluation of
the effectiveness of treatment; and for the prediction of the risk of
development of cancer. The aim of the proposed special issue is to bring
together researchers who work on image processing techniques for the
detection and diagnosis of cancer, and to promote further research and
advances in image processing techniques for oncology.
Original papers, previously unpublished and not currently under review
by another journal, are solicited, addressing one or more of the
following topics:
* Multimodal image registration and fusion for the detection and diagnosis
of cancer
* Content-based image retrieval for the diagnosis of cancer
* Tumor segmentation and quantitative analysis
* Tracking of cancer cells
* Image enhancement for the diagnosis of cancer
* Image-guided treatment of cancer and computer-assisted surgery
* Machine learning for computer-aided detection and diagnosis of cancer
* Image normalization for the detection of cancer
* Image processing for segmentation and localization of cancer
Prospective authors can find submission information at
http://www.ece.byu.edu/jstsp. The authors are required to follow the
Author's Guide for manuscript submission to the IEEE Transactions on
Signal Processing (T-SP) at http://ewh.ieee.org/soc/sps/tsp/. The
manuscripts will be peer reviewed according to the standard IEEE
process.
Manuscript submissions due: April 15, 2008
First review completed: June 15, 2008
Revised manuscripts due: August 15, 2008
Second review completed: October 1, 2008
Final manuscript due: November 15, 2008
------------------------------
From: "Liu, Zheng" <Zheng.Liu@xxxxxxxxxxxxxx>
Subject: CFP : MVA Special Issue - 31AUG2008
Techniques for Industrial Inspection
Imaging- and vision-based techniques play an important role in
industrial inspection. The sophistication of the techniques assures
high-quality performance of the manufacturing pro- cess through precise
positioning, online monitoring, and real-time classification. Advanced
systems incorporating multiple imaging and/or vision modalities provide
robust solutions to complex situations and problems in industrial
applications. A diverse range of industries, in- cluding aerospace,
automotive, electronics, pharmaceutical, biomedical, semiconductor, and
food/beverage, etc., have benefited from recent advances in multi-modal
imaging, data fu- sion, and computer vision technologies. The purpose of
this special issue is to highlight such advances and demonstrate the
successful applications of multi-modal imaging and vision technologies
in industrial inspection.
Papers that advance the theories of multi-modal imaging, data fusion,
and vision tech- niques or tackle challenges in practical applications
are invited. In addition to conventional vision technologies, imaging
modalities of interest include X-ray , Terahertz imaging, and ultrasonic
testing. The contributions should be original and must not have been
presented and/or published (or currently under consideration) in any
other form.
Topics include (but are not limited to) the following:
* Automated defect identification and classification with multi-modal imaging techniques;
* Multi-sensor image fusion for inspection;
* Multi-modal vision system design and implementation;
* Precise measurements with 3D vision and multi-modal geometry reconstruction;
* Registration of multi-modal inspection data;
* Multi-camera system and array for inspection;
* Multi-spectrum imaging and analysis;
* Visualization of multi-modal nondestructive inspection data;
* 3D volumetric image processing;
* Other applications
Machine Vision and Applications accepts high-quality technical
contributions which are within its aims and scope in both long and short
paper formats. Long papers may not be over 30 manuscript pages in length
(12 point type, double-spaced, 5 cm margins (2 inch) on one side of the
paper only) including figures, references, acknowledgements, footnotes,
tables, and captions. All papers should be written in English. Further
guidelines can be viewed at http://www.springerlink.com/content/100522/.
Deadline for submission: August 31, 2008
GUEST EDITORS
Dr. Zheng Liu, Institute for Research in Construction,
National Research Council Canada
Dr. Hiroyuki Ukida, Department of Mechanical Engineering
Tokushima University
Dr. Pradeep Ramuhalli, Department of Electrical and Computer Engineering
Michigan State University
Dr. David S. Forsyth, NDE Division
Texas Research International Inc./Austin
Submitting Your Manuscript
Machine Vision and Applications employs a completely automated
submission and review process. To submit a manuscript, please visit
http://mc.manuscriptcentral.com/mva . If you are new to Manuscript
Central, please use the Create Account link in the top right corner of
the page to create a new account. Once you have created an account you
will have access to your Author Dashboard. More information can be found
regarding use of Manuscript Central in the Help section of the website.
Machine Vision and Applications publishes high-quality technical
contributions in machine vision research and development. Specifically,
the editors encourage submittals in all applications and engineering
aspects of image-related computing. In particular, original
contributions dealing with scientific, commercial, industrial, military,
and biomedical applications of machine vision, are all within the scope
of the journal. Particular emphasis is placed on engineering and
technology aspects of image processing and computer vision.
For further information regarding Machine Vision and Applications,
please contact: Sheli Carr, Editorial Coordinator mva_ec@xxxxxxxxxxxxx
------------------------------
End of VISION-LIST digest 27.1
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