[robotics-worldwide] [meetings] [ECCV2014] CfP: Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (in conjunction with ECCV 2014)

Karthik Mahesh Varadarajan karthikmaheshv at gmail.com
Thu Jun 26 08:48:58 PDT 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 Submissions*

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

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
<http://eccv2014.org/wp-content/uploads/2013/10/eccv2014kit.zip>). All
contributions are to be submitted via Microsoft Conference Management Tool
<https://cmt.research.microsoft.com/A22014/Default.aspx> 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.

*Important Dates*

- 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 <http://www.karthikmahesh.com> (varadarajan(at)
acin.tuwien.ac.at), TU Wien
Alireza Fathi <http://ai.stanford.edu/~alireza/> (alireza(at)cs.stanford.edu),
Juergen Gall <http://www.vision.ee.ethz.ch/~gallju/> (gall(at)
iai.uni-bonn.de), Univ. Bonn
Markus Vincze <http://www.acin.tuwien.ac.at/index.php?id=231&L=1>
(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,
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

*Program Committee*

 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)

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