[visionlist] PhD/postdoc position (TU Munich): analysis of multimodal images acquired in tumor and stroke patientsPosted: June 29, 2014
A PhD or postdoctoral position is available at TU Munich – jointly in the
Department of Computer Science (Bjoern Menze, http://ift.tt/UXNymm) and
in the Department of Medicine (Claus Zimmer,
The project will deal with the analysis of multimodal images acquired in
tumor and stroke patients.
Possible directions would be in developing new ways for quantifying lesion
structures and tissue changes in different image modalities, and/or tracking
vessel networks and measuring blood flow patterns. An important aspect will
be to bring algorithms into clinical routine, and – in turn – to learn from
the radiologists’ interaction with the data to improve those algorithms.
The position can be filled by a PhD student (for 3 years) who will enroll in
one of the related TUM graduate schools (http://gsish.tum.edu,
http://www.igsse.tum.de), or by a postdoctoral research associate (for 2
years) who will be jointly affiliated with both departments.
Successful candidates would have an active interest in medical image
computing and computer vision. Candidates for the PhD position would have
completed an MSc program in computer science, engineering, physics, or
mathematics. Postdoctoral candidates would have prior publications in
conferences, such as MICCAI, IPMI, ECCV, CVPR, or related journals.
Applications should be submitted until July 10th via
http://ift.tt/UXNwed, mentioning “neuroradiology”
in the field for additional comments. Possible starting dates would be the
second half of 2014.
IPAS’14, November 5-7th, 2014, HammametThe conference is intended for grouping from all over the
world challenging researchers, innovators, academicians, and
practitioners in image processing theory and tools, for followinghigh
level tutorials, sharing their achievements, exchanging their
experiences and discussing future orientations. The conference will also
offer an opportunity to make a bridge between image processing
researchers and people working in other application fields such as
medical doctors, radiotherapists or industrial parts. Special attention
will be devoted to image processing algorithms and the way to implement
these algorithms for best performances. Hardware implementations on
embedded platforms is of particular interest.Call For Papers : http://ift.tt/1k2dfYu submission : August 17th, 2014Acceptance: September, 7th September, 2014Web site: http://ift.tt/UXNvXH
In the context of the recently established Collaborative Research
Center (SFB) “Cardinal Mechanisms of Perception – Prediction,
Valuation, Categorization”, we invite applications for one PhD
position in the project “Effects of informational value on
perception and attention in associative learning” (
starting August, 1st or earliest possible date.
The PhD-project shall address the interaction between perceptual
ambiguity and associative uncertainty, using a variety of methods,
including psychophysics, eye tracking, pupillometry and modelling.
Details on the position and application procedure can be downloaded
(English version) orhttp://www.uni-marburg.de/fb13/forschung/neurophysik/gruppe-einhaeuser/sfbb4d.pdf
Deadline for applications is July, 11th.
Vision Research will publish a special issue on “Quantitative Approaches
in Gestalt Perception”. Submissions are already possible. The deadline
for manuscript submission is November 30.
[visionlist] [meetings] [ECCV2014] CfP: Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (in conjunction with ECCV 2014)Posted: June 26, 2014
Call for Papers- Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (in conjunction with ECCV 2014), September 7, 2014, Zurich, Switzerland
The workshop seeks to address key challenges in computer vision and applications such as robotics with regard to functional form descriptions, which are termed as “affordances”. Based on the Gibsonian principle of defining objects by their function, “affordances” have been studied extensively by psychologists and visual perception researchers, resulting in the creation of numerous cognitive models. These models are being increasingly revisited and adapted by computer vision researchers to build visual perception and behavioral algorithms in recent years. This workshop attempts to explore this nascent, yet rapidly emerging field of affordance based cognitive vision (recognition of objects, activities, scenes etc.) while integrating the efforts and language of affordance communities not just in computer vision, but also psychophysics and neurobiology by creating an open affordance research forum, feature framework and ontology called AfNet (theaffordances.net). In particular, the workshop will focus on emerging trends in affordances and other human-centered function/action features that can be used to build computer vision algorithms leading to various intelligent applications. The workshop will also feature contributions from researchers involved in traditional theories to affordances, especially from the point of view of psychophysics and neuro-biology. Avenues to aiding research in these fields using techniques from computer vision and cognitive robotics will also be explored. Primary topics addressed by the workshop include the following among others
– Affordances in visual perception models
– Affordances as visual primitives, common coding features and symbolic cognitive systems
– Affordances for object recognition, search, attention modulation, functional scene understanding and classification
– Object functionality analysis
– Affordances from appearance and touch based cues
– Haptic adjectives
– Functional-visual categories for transfer learning
– Actions and functions in object perception
– Human-object interactions and modeling
– Motion-capture data analysis for object categorization
– Affordances in human and robot grasping
– Affordance learning
– Affordance ontologies
– Knowledge bases for affordances and affordance modeling
Understanding various challenges in the field of affordances and building a common language and framework for communication across the varied affordance communities are the key goals of the proposed workshop. Through the course of the workshop, we also envisage the establishment of a working group for AfNet.
Paper contributions to the workshop are solicited in four different formats. This departure from the regular format is intended to promote greater contribution and cater to the needs of affordance communities from various disciplines such as Knowledge Representation, Psychology, Psychophysics, Neuroscience, Kinematics, Ontologies besides traditional audience such as from Cognitive/ Computer Vision and Robotics.
– Conceptual papers (2 pages): Authors are invited to submit original ideas on approaches to address specific problems in the targeted areas of the workshop. While a clear presentation of the proposed approach and the expected results are essential, specifics of implementation and evaluations are outside the scope of this format. This format is intended at exchange and evaluation of ideas prior to implementation/ experimental work as well as to open up collaboration avenues.
– Design papers (6 pages): Authors submitting design papers are required to address key issues regarding the problem considered with detailed algorithms and preliminary or proof-of-concept results. Detailed evaluations and analyses are outside the scope of this format. This format is intended at addressing late-breaking and work in progress results as well as fostering collaboration between research and engineering groups.
– Experimental papers (6 pages): Experimental papers are required to present results of experiments and evaluation of previously published algorithms or design frameworks. Details of implementation and exhaustive test case analyses are key to this format. These papers are geared at benchmarking and standardizing previously known approaches.
– Full papers (14 pages): Full papers must be self-inclusive contributions with a detailed treatment of the problem statement, related work, design methodology, algorithm, test-bed, evaluation, comparative analysis, results and future scope of work. Submission of original and unpublished work is highly encouraged. Since the goal of this workshop is to bring together the various affordance communities, extended versions/ summary reports of recent research published elsewhere, as adapted to the goals of the workshop, will also be accepted. These papers are required to clearly state the relevance to the workshop and the necessary adaptation.
The program will be composed of oral as well as Pecha-Kucha style presentations.
Each contribution will be reviewed by three reviewers through a single-blind review process. The paper formatting should follow the ECCV formatting guidelines (Templates: LaTeX). All contributions are to be submitted via Microsoft Conference Management Tool in PDF. Please adhere to the following strict deadlines. In addition to direct acceptance, early submissions may be conditionally accepted, in which case submission of a revised version of the paper based on reviewer comments, prior to the late submission deadline is necessary. The final decision on acceptance of such conditionally accepted papers will be announced along with the decisions for the late submissions. Hence, while early submissions will have a better chance of acceptance than late submissions, submission to either (or both) rounds is equally encouraged. Also, note that the paper ID to be incorporated into the submission manuscript is available after performing an initial submission. If you still have issues finding your paper ID, it can be left blank for initial submissions, though it will be necessary to use the ID for the final ECCV version, OpenRsrch version, Springer version and ECCV attendance registration.
– Initial submissions (Late): 23:59:59 PDT July 07, 2014
– Notification of acceptance (Late submissions): July 17, 2014
– Submission of publication-ready version: July 24, 2014
– Workshop date: September 7, 2014
Karthik Mahesh Varadarajan (varadarajan(at)acin.tuwien.ac.at), TU Wien
Alireza Fathi (alireza(at)cs.stanford.edu), Stanford
Juergen Gall (gall(at)iai.uni-bonn.de), Univ. Bonn
Markus Vincze (vincze(at)tuwien.ac.at), TU Wien
Speakers and Participants (To be updated)
Fei-Fei Li (Affordances in Computer Vision), Stanford University, USA
Abhinav Gupta (Affordances in Computer Vision), Carnegie Mellon University, USA
Derek Hoiem (Affordance Semantics), University of Illinois at Urbana-Champaign, USA
Ashutosh Saxena (Affordances in Cognitive Robotics), Cornell University, USA
Aaron Bobick (Affordances in Robotics), GeorgiaTech, USA
Irving Biederman (USC)
Aude Oliva (MIT)
Martha Teghtsoonian (Smith College)
Barbara Caputo (Univ. of Rome, IDIAP)
Song-Chun Zhu (UCLA)
Antonis Argyros (FORTH)
Tamim Asfour (KIT)
Trevor Darrell (UC. Berkeley)
Michael Beetz (TUM)
Norbert Krueger (Univ. of Southern Denmark)
Sven Dickinson (Univ. of Toronto)
Erhan Oztop (Ozegin Univ.)
Diane Pecher (Erasmus Univ. Rotterdam)
Jason Corso (UB New York)
Juan Carlos Niebles (Universidad del Norte)
Tamara Berg (UNC Chapel Hill)
Moritz Tenorth (Univ. Bremen)
Dejan Pangercic (Robert Bosch)
Roozbeh Mottaghi (Stanford)
Xiaofeng Ren (Amazon)
David Fouhey (CMU)
Tucker Hermans (Georgia Tech)
Tian Lan (Stanford)
Amir Roshan Zamir (UCF)
Hamed Pirsiavash (MIT)
Walterio Mayol-Cuevas (Univ. of Bristol)
The Laboratory for Intelligent Imaging and Neural Computing (LIINC) at Columbia University has immediate openings for two Postdoctoral Research Scientists interested in investigating the use of brain computer interfaces (BCI) for enabling shared human-machine autonomy. This research effort is a joint project with the Army Research Lab (ARL) and will focus specifically on measuring cognitive state of individuals engaged in an image search task in cooperation with a semi-autonomous computer vision system. Successful applicants will have a background in machine learning, exemplar based computer vision systems and brain computer interfaces. An interest and/or background in building mobile systems, Android programming and experimenting with Google Glass is also a plus. A Ph.D. in Engineering, Computer Science or Neuroscience is preferred. One position will be full time at Columbia University and the other will be a shared position which will be half time at Columbia and half time at ARL/Aberdeen MD. The shared postdoctoral position requires US Citizenship.
LIINC (liinc.bme.columbia.edu) is in the Department of Biomedical Engineering at Columbia University and interacts closely with other departments at Columbia, including Electrical Engineering, Biological Sciences, Computer Science and Neuroscience. We are also a member lab of the newly formed Center for Neural Engineering and Computation (CNEC) at Columbia University (cnec.columbia.edu) as well as the Institute for Data Sciences and Engineering (idse.columbia.edu). Additionally, we are a member of the Cognition and Neuroergonomics Collaborative Technology Alliance (CaN CTA) which a collaborative research effort between the Army Research Labs, Academia and Industry. Postdoctoral Research Scientists will thus have the opportunity to broadly collaborate will other scientists in academia, industry and government, being part of one of the largest collaborative programs in real-world neuroimaging and brain computer interfaces.
Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (email@example.com).
Applications will be considered until the positions are filled. The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding.
Paul Sajda, Ph.D.Professor
Departments of Biomedical Engineering,
Electrical Engineering and Radiology
Columbia University351 Engineering Terrace Building, Mail Code 89041210 Amsterdam AvenueNew York, NY 10027tel: (212) 854-5279fax: (212) 854-8725email: firstname.lastname@example.org://liinc.bme.columbia.edu
Editor-in-ChiefIEEE Transactions on Neural Systems and Rehabilitation Engineeringemail: email@example.com://tnsre.bme.columbia.edu