[visionlist] Summer school in Computational Sensory-Motor Neuroscience (CoSMo 2014)

Fourth Annual Computational Sensory-Motor
Neuroscience Summer School (CoSMo 2014)
University of Minnesota, Minneapolis, MN, USA
August 3-17, 2014

We would like to invite you to join us for the third annual
Computational Sensory-Motor Neuroscience Summer School. The course
is about experimental, computational and medical aspects of
sensory-motor neuroscience with a focus on data/model sharing.
Covered topics include Bayesian approaches, motor control,
computational neuroimaging, sensory-motor transformations and
An important focus is on doing research as opposed to just hearing
about it. Each teaching module will take up two days with morning
lecture sessions. Afternoon sessions involve hands-on Matlab
programming, simulation and data-analysis. Newly acquired
computational tools can also be applied in 2-week evening group
research projects.
The course is aimed at students and post-doctoral fellows from
diverse backgrounds including Life Sciences, Psychology, Computer
Science, Physics, Mathematics and Engineering. Basic knowledge in
calculus, linear algebra and Matlab is expected. Enrollment will be
limited to 40 trainees.Application deadline: April 27, 2014
For more information and to apply, please go to http://ift.tt/1kkoH2N

The school is co-organized by Drs Gunnar Blohm, Paul Schrater and
Konrad Körding. It receives funding from the National Sciences and
Engineering Research Council of Canada (NSERC) via an NSERC-CREATE
training grant on “Computational Approaches in Neuroscience –
Action, Control & Transformations”, and from the National
Science Foundation (NSF, USA).

[visionlist] UCL/MSR-Cambridge/RVC: PhD in Vision-based Tracking of Quadrupeds

If you love computer vision and coding, and want to have major impact on
science (and you are considered an EU-resident), please read on!

We have funding for an excellent student from the EU to complete a 3 year
Computer Science PhD at University College London. The co-supervisors for this
project are Jamie Shotton of Microsoft Research Cambridge who leads the Kinect
pose-estimation effort, and Thilo Pfau & Andrew Spence, animal locomotion
experts at the Royal Veterinary College in north London.

This PhD combines computer vision, machine learning, graphics, and
biomechanics. Applicants will develop skills and make contributions in all
these areas, but should already be fairly strong in one or two of them.

Under the interdisciplinary supervision of experts in computer vision, biology,
and veterinary medicine, the student will both build computer vision systems
and use these to investigate real outstanding scientific and clinical
questions. On the vision side, we believe recent advances in understanding
human shape and motion can be extended to work for quadrupeds. Animals are
substantially different to humans in interesting ways, and we have identified
many hard technical issues here. On the biological side, we aim to investigate
how body morphology and the ultimate constraints of stability, energetic cost,
and dexterity shape animal gait. On the clinical side, this studentship will
make essential contributions to applying the developed techniques across
species with the potential for large welfare and economic benefits. This
project offers the student a rare opportunity to become a world expert, guided
by top specialists in vision and biology, just when their respective strengths
are ready to be exploited.

At UCL Computer Science, the PhD student will be based in Gabriel Brostow’s
group in central London. The student will make visits to collect data and run
experiments to the RVC in North London, and will have opportunities to spend
periods of time at MSR-Cambridge. The student is expected to work with other
students and postdocs in our teams and with the larger cohort of researchers at
the three sites.

Programming experience desired: high proficiency in one or more of Matlab / C++
/ Python. The PhD is a time to learn new things, but the idealized candidate
would have completed small projects with some combination of machine learning,
GPU, Qt, OpenGL, and OpenCV-type libraries. As an example reference guide, see
the topics covered in the Prince textbook,

Application Instructions:
You’ll need to submit an online application here as soon as possible:
http://ift.tt/1eWzIX4. (Deadlines listed
there do not apply to funded studentships like this. Recruiting ends when we
find the right person.) Please make sure to put Gabriel Brostow as the
supervisor but you should also email me *now* (g.brostow at ucl.ac.uk) so we
know to look out for your application (and please use the text “kinect4legs” in
the Subject line).

[visionlist] UCL: PhD in Spatiotemporal Models of Retinal Images

If you love applying machine learning and want to help save babies from going
blind (and you are considered an EU-resident), please read on!

We have funding for an excellent student from the EU to complete a 3 year
Computer Science PhD at University College London.

This PhD combines machine learning, computer vision, and ophthalmology.
Applicants will develop skills and make contributions in all three areas, but
should already be fairly strong and excited about one or two of them.

The project aims to help clinicians screen for Retinopathy of Prematurity
(ROP), an illness that causes blindness in premature babies when undetected.
Read more about ROP further below. Our goal is to develop a model of how the
retina looks over time a) when an eye is healthy, b) as ROP progresses, and c)
as a result of laser treatment. The probabilistic generative model for these
cases will be learned from image data of real
Subsequently at test time, given image(s) of a premature baby’s retina, we will
be able to assess the probability that the baby is healthy or at-risk. This
research will be a form of structured texture-synthesis, with algorithms and
applications beyond “just” medical images.

Retinpathy of Prematurity (ROP): ROP is one of the few ophthalmic conditions in
which a diagnosis to treat or not is urgent. Screening is essential, but
difficult. A simple retinal camera is needed, but also expertise and
experience. Even in middle-income countries where a camera is available, there
are often not enough qualified ROP experts to examine all the at-risk babies.
In low-income countries there is currently a large proportion of premature
infants facing a lifetime of blindness from untreated ROP due largely to a lack
of screening facilities. Preliminary research has revealed further challenges.
A fairly universal international grading system is used by experts to grade the
severity of a case. However, research has shown that experts do not tend to
agree on the grading for each eye because there is no agreed model of disease

At UCL Computer Science, the PhD student will be based in Gabriel Brostow’s
group. The co-supervisor is Dr. Clare Wilson, Paediatric Ophthalmologist at
Great Ormond Street Hospital, and at UCL Institute of Ophthalmology. The
research areas overlap and the student is expected to work with other students
and postdocs in our team (http://ift.tt/1eWzGOU)
and the larger cohort of vision + machine learning researchers here. UCL is in
central London, and is one of the top 3 groups for Vision/Learning/Graphics in
Europe. For ophthalmology expertise, this is THE place to be.

Programming experience desired: high proficiency in one or more of Matlab / C++
/ Python. The PhD is a time to learn new things, but the idealized candidate
would have completed small projects with some combination of machine learning,
GPU, Qt, and OpenCV-type libraries. As an example reference guide, see the
topics covered in the Prince textbook, http://ift.tt/KtNmW7.

Application Instructions:
You’ll need to submit an online application here as soon as possible:
http://ift.tt/1eWzIX4. (Deadlines listed
there do not apply to funded studentships like this.) Please make sure to put
Gabriel Brostow as the supervisor but you should also email me *now* (g.brostow
at ucl.ac.uk) so we know to look out for your application (and please use the
text “synthROP” in the Subject line).

[visionlist] Call for Abstracts for the Ocular Immunity, Autoimmunity and Inflammation Conference.

[visionlist] PhD position KU Leuven, Neurophysiology-Psychiatry

Applications are invited for a PhD position in the Department of Neurosciences at the KU Leuven, Belgium.

The candidate will work with Jan Jastorff and Mathieu Vandenbulcke, investigating the emotion circuits in the brain of healthy volunteers and patients with neurodegeneration. The ideal candidate will have good programming skills and an
interest in affective neuroscience and neuroimaging. Over the course of the project, the student will develop skills in state-of-art imaging techniques, including structural and functional MRI, DTI and combined fMRI-TMS.

The candidate should have a Diploma/Master in psychology, neuroscience, engineering or computer science. Experience in neuroimaging and proficiency in programming (e.g. Matlab) is highly desired. Excellent communication skills in English
are essential; proficiency in Dutch is a plus.

To apply please send a CV, including the expected date of availability, a short statement of research interests, and contact information of at least 3 references to jan.jastorff@med.kuleuven.be

[visionlist] Decision Making Bristol 2014: Abstract Submission deadline EXTENDED to 7 April 2014

**The Deadline for submission of abstracts to the Decision Making Bristol 2014 conference has been extended to 7 April 2014.**

Decision Making Bristol 2014

The Decision-making Group at the University of Bristol invites you to submit abstracts to our second conference – Decision Making Bristol 2014 – to be held 9-12 September 2014.  Following the success of the 2012 conference, this conference aims to embrace a breadth of research, appealing to those interested in all aspects of decision making. 

We are pleased to announce that the following Key Note speakers have been secured Gerd Gigerenzer, Tom Griffiths, Antonio Rangel and Jeffrey D. Schall. These will be accompanied by invited talks from Nick Chater,  Eric-Jan Wagenmakers and Daniel Wolpert.

Held in the beautiful city of Bristol, at one of the UK’s leading science and discovery centres, At-Bristol, the conference will promote interdisciplinary collaborations and welcomes attendance from both theoreticians and experimentalists.

The call for short abstracts (500 words) is now OPEN and we invite you to submit your abstract to the following email address: DMB-2014@bristol.ac.uk.  The closing date for receipt is now **7 April 2014**.

Further information and Registration:   http://ift.tt/1ggrw11 closing date is 30 June 2014.

Please feel free to share this email with your colleagues and research students.  We look forward to seeing you in September.

Best wishes, 

Sally-Ann Parry, on behalf of the Decision-making Group

[Imageworld] Call for Participation: CVPR 2014 Doctoral Consortium

Call for Participation: CVPR 2014 Doctoral Consortium

Submissions due: April 20, 2014


[Imageworld] CFP: AAAI-15 – The First Winter AAAI Conference

AAAI-15 – The First Winter AAAI Conference
January 25-29, 2015
Austin, Texas, USA

AAAI-15 Preliminary Call for Papers
Abstracts due: September 10, 2014; Papers due: September 15, 2014

The purpose of the AAAI conference series is to promote research in
Artificial Intelligence (AI) and scientific exchange among AI
researchers, practitioners, scientists, students and engineers in AI
and all affiliated disciplines. AAAI-15 is the Twenty-Ninth AAAI
Conference on Artificial Intelligence. It will continue the traditions
of previous AAAI conferences with multiple technical tracks, invited
speakers, workshops, tutorials, student abstracts, senior member
papers, poster sessions, a video competition, and exhibit programs,
all selected according to the highest standards. AAAI-15, as the
inaugural Winter AAAI conference, will also include special programs
that celebrate the past and look into the future. A number of exciting
innovations are planned, including additional programs for students
and young researchers.

Innovations for the Main Conference Track

– Resubmissions of Substantially Improved AAAI-14 Submissions: AAAI-15
expects to have a mechanism for authors to submit substantially
improved versions of their declined AAAI-14 submissions together with
a cover letter that explains how their revised submissions address the
comments of the reviewers. The cover letters will be taken into
consideration in the review process.

– Demonstrations: During paper submission, authors will be able to
express interest in demonstrating their systems (if applicable) during
a demonstration/poster session and describe the features of their
intended demonstration.

– Easily Accessible Papers: AAAI-15 is interested in identifying a
small number of papers that make good reading material for people with
a general background knowledge of artificial intelligence but no
detailed knowledge of the subarea covered in the paper. Authors of
such papers will meet at AAAI-15 with students interested in their

– Special Tracks: AAAI-15 will include several special paper tracks on
focused topics to increase participation in special areas of interest.

Details will be announced separately.

Timetable for Authors

May 1, 2014 – September 10, 2014: Authors register on the AAAI web site
September 10, 2014: Electronic abstracts due
September 15, 2014: Electronic papers due
October 22 – 24, 2014: Author feedback about initial reviews
November 7, 2014: Notification of acceptance or rejection
November 20, 2014: Camera-ready copy due at AAAI office


AAAI-15 welcomes submissions on mainstream AI topics as well as novel
crosscutting work in related areas. Topics include but are not limited
to the following:

AI and the Web
Cognitive Modeling
Cognitive Systems
Computational Sustainability and AI
Computational Discovery
Game Theory and Economic Paradigms
Game Playing and Interactive Entertainment
Heuristic Search and Optimization
Human-Computation and Crowd Sourcing
Humans and AI
Knowledge Representation and Reasoning
Machine Learning Applications
Multiagent Systems
NLP and Knowledge Representation
NLP and Machine Learning
NLP and Text Mining
Novel Machine Learning Algorithms
Planning and Scheduling
Reasoning under Uncertainty
Search and Constraint Satisfaction

The full set of AAAI-15 keywords is available on the AAAI-15 keywords page.

Papers that extend the state of the art, and explore parts of the
design space of AI that are not well-explored, are particularly

Author Registration

Authors must register at the AAAI-15 web-based technical track paper
submission site before they submit their abstracts and papers. The
software will assign a password, which will enable the author to log
on to submit an abstract and paper. To avoid network problems in the
last minute rush, authors are strongly encouraged to register as soon
as possible after May 1, well in advance of the September 10 abstract

Registration will close at 11:59 PM PST on September 10, 2014.
Abstract submission will close at 11:59 PM PST on September 10, 2014.
Final paper submission will close at 11:59 PM PST on September 15, 2014.

Abstract and Paper Submission

Papers must be formatted in AAAI two-column, camera-ready style; see
the author instruction page for details. Papers must be in
trouble-free, high-resolution PDF format, formatted for US Letter
(8.5″ x 11″) paper, using Type 1 or TrueType fonts. Submitted papers
may be no longer than 7 pages with page 7 containing nothing but
references. Submitted papers are not required to contain the copyright
block, and acknowledgements should not be included due to blind
review. Please also refer to the instructions on how to prepare your
paper for blind review. For final papers, authors may buy up to two
additional pages in the proceedings (see below for details). The last
page of final papers may contain text other than the references and
acknowledgements, but all references in the submitted paper should
appear in the final version except for superseded references. Final
papers must contain the copyright block.

Supplemental Materials

The length of the main submission is strictly limited as indicated
above. However, authors may also choose to submit supplemental
material as an attachment. Examples of supplemental material are
proofs of theorems that are stated in the main paper, or video
demonstrations. Authors may reference the supplemental material in
their papers. However, please note that there is no guarantee that the
reviewers will review the supplemental material. Authors are advised
to make sure the paper is self-contained. If the proofs are an
important part of the contribution, then they should at least be
summarized in the main paper. Similarly, the video demonstration may
be described in the body of the paper. Reviewers will view the
material at their own discretion. IMPORTANT: please be very careful
not to violate the blind review requirements in the supplemental

Electronic abstract and paper submission through the AAAI-15 paper
submission site is required on or (preferably) before the deadline
dates listed above. We cannot accept submissions by e-mail or fax.
Authors will receive confirmation of receipt of their abstracts or
papers, including an ID number, shortly after submission. AAAI will
contact authors again only if problems are encountered with papers.
Inquiries regarding paper receipt must be made no later than September
22, 2014.

Blind Review Instructions

Reviewing for the AAAI Conference is blind to the identities of the
authors. The first page, on which the paper body begins, should
include the title, abstract, content areas, and ID number (if
available), but not the acknowledgments and names or affiliations of
the authors. The references should include all published literature
relevant to the paper, including previous works of the authors, but
should not include unpublished works.

When referring to one’s own work, use the third person, rather than
the first person. For example, say “Previously, Newell (1996) has
shown that…,” rather than “In our previous work (Newell 1996) we
have shown that….” Try to avoid including any information in the
body of the paper or references that would identify the authors or
their institutions. Such information may be added to the final
camera-ready version for publication.

Policy Concerning Submissions to Other Conferences or Journals

AAAI-15 will not accept any paper that, at the time of submission, is
under review for or has already been published or accepted for
publication in a journal or another conference. Authors are also
required not to submit their papers elsewhere during AAAI’s review
period. These restrictions apply only to journals and conferences, not
to workshops and similar specialized presentations with a limited
audience and without archival proceedings. The restrictions also do
not apply to preprints posted only on arXiv. Authors will be required
to confirm that their submissions conform to these requirements at the
time of submission.

Review Process

Program committee members will identify papers they are qualified to
review based on the information submitted electronically (the paper’s
title, keywords, and abstract). Their reviewing will be done blind to
the identities of the authors and their institutions. Authors will
have a limited opportunity to respond to initial reviews. This author
feedback will then be taken into account in the final recommendations
and reviews may be changed accordingly. The program committee’s
reviews will make recommendations to the senior program committee,
which in turn will make recommendations to the program cochairs. The
program cochairs will make all final decisions following full
consultation with members of the senior program committee during this


Accepted papers will be allocated seven (7) pages in the conference
proceedings; up to two (2) additional pages may be used at a cost to
the authors of $275 per page. Final papers found to exceed page limits
and or otherwise violating the instructions to authors will not be
included in the proceedings. Authors will be required to transfer
copyright of their paper to AAAI. The proceedings will be available in
the AAAI Digital Library at the conference, and will also be available
in hard copy after the conference.

Journal Opportunities

Papers that receive excellent reviews may be selected for fast track
reviewing at participating journals, including the AI Journal (AIJ)
and the Journal of Artificial Intelligence Research (JAIR). Eligible
authors will be invited to submit extended versions of their AAAI-15
papers to the journal of their choice.

The AI Journal offers fast-track publication to the authors of
selected excellent papers as determined by the Program Committee of
AAAI-15. They aim at a review process of about 6 weeks. The papers,
which should conform to all currently posted requirements relating to
the submission of AIJ papers posted on the Elsevier and AI Journal
sites would be published as regular papers but identified as revisions
of papers first given at AAAI-15.

The Journal of Artificial Intelligence Research has a special track
for award winning papers from prestigious conferences. The purpose is
to highlight the research reflected in them and to give the authors a
chance to expand their submission, including more details. The papers
will get an expedited review process, and accepted papers receive
special recognition on the JAIR page.

Questions and Suggestions

Concerning author instructions and conference registration, write to
aaai15@aaai.org. Concerning suggestions for the program and other
inquiries, write to the AAAI-15 Program Cochairs at

Program Cochairs

Blai Bonet (Universidad Simón Bolívar, Venezuela)
Sven Koenig (University of Southern California, USA)

[Imageworld] ” Call for Participation: Liver CT Annotation Task (15-18 September, ImageCLEF, Sheffield)”

[apologies for cross-postings, please distribute]


We are pleased to announce you that “CT liver annotation task” as part of ImageCLEF 2014 will be held in the city of Sheffield, UK, 15-18-09-2014.  The task is designed as a pilot study towards automated structured reporting. More specifically, the participants are asked to use image features to answer a set of multiple-choice questions that are automatically generated (and are fixed throughout the task) using an open-source ontology of liver for radiology (ONLIRA). The targeted automated radiological annotation would be functional in structured reporting, effective search and retrieval in radiological databases, etc.

The task is organized by VAVlab (Bogazici University, EE Dept., Istanbul, Turkey) in collaboration with Istanbul University Medical School and is in part supported by the “Case Retrieval in Radiological Databases : CaReRa” project (Project #: TUBITAK 110E264).

You may read more about the task at: http://ift.tt/O86fzF.

For registration to the task please visit: http://ift.tt/1hqwtc6

After registration and signing the end user agreement you will have access to the dataset location via registration page.


Neda B.Marvasti

Ph.D. CandidateBogazici University, EE Dept, VAVlab, Istanbul, Turkey

[Imageworld] Postdoctoral position in astronomical image analysis (USP, Brazil)



Postdoctoral researcher position
( FAPESP fellowship available )

NAP LabCosmos / NAP e-Scienc