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<tt>****We apologise if you have received multiple copies of this
email**** Please forward to colleagues who may be potentially
interested in the workshop topics***<br>
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_______________________________________________________________________________________________________________<br>
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<br>
ICCV 2019 - 7th International Workshop on Assistive Computer
Vision and Robotics (ACVR 2019)<br>
<br>
<br>
Seoul- Korea - October 28, 2019<br>
<br>
<br>
In conjunction with ICCV 2019 - International Conference on
Computer Vision<br>
<br>
<br>
Workshop Website:<a moz-do-not-send="true"
href="http://iplab.dmi.unict.it/acvr2019/">
http://iplab.dmi.unict.it/acvr2019/</a><br>
<br>
<br>
Contact: <a class="moz-txt-link-abbreviated" href="mailto:ACVR.workshop@gmail.com">ACVR.workshop@gmail.com</a><br>
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IMPORTANT DATES<br>
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<br>
Full Paper Submission: <b>July 15th, 2019*</b> (No further
extension will be granted)<br>
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<br>
Notification of Acceptance: August 9th, 2019<br>
<br>
<br>
Camera-Ready Paper Due: August 16th, 2019<br>
<br>
<br>
*<u>In case of rejection from ICCV, authors can submit their work
to the ACVR workshop by July 26th, 2019. Authors should address
all ICCV reviewers' comments in the submitted paper and submit
the ICCV reviews as supplementary material. Authors should
contact <a class="moz-txt-link-abbreviated" href="mailto:ACVR.workshop@gmail.com">ACVR.workshop@gmail.com</a> to perform the submission.</u><br>
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<br>
PUBLICATION<br>
<br>
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All accepted papers will appear in the ICCV workshops proceedings
and IEEE Xplore Digital Library.<br>
<br>
Papers will also be in the Computer Vision Foundation (CVF) open
access archive.<br>
<br>
<br>
________________<br>
<br>
<br>
CALL FOR PAPERS<br>
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<br>
________________<br>
<br>
In the last decades, there has been a tremendous increase in
demand for assistive technologies useful to overcome functional
limitations of individuals. Novel tools have been successfully
commercialised bringing the Computer Vision and Robotics research
from theory to applications and then to market. The rapid progress
in the development of integrated micro-mechatronic and computer
vision has further boosted this process. The interest in this
applied field is increasing due to the possibility to exploit
advanced technologies coming from the results of traditional
problems in Computer Vision (such as face analysis, tracking,
detection and recognition, human behaviour analysis). However,
many problems remain open, especially as regards environment
perception and interaction of these technological tools with
people. To address the open challenges, it is becoming
increasingly common the use of deep learning approaches that have
been exploited either to improve performance in the computer
vision and robotics tasks, i.e. by inheriting the knowledge from
the theoretic and methodological literature or to make a
significant change to the assistive framework itself. In addition
to deep learning, new learning paradigms (e.g., Generative
Adversarial Networks) are radically changing this strategic
research sector.<br>
<br>
The main scope of ACVR 2019 is then to bring together researchers
from the diverse fields of engineering, computer science, social
and bio-medical science who investigate in the context of Computer
Vision and Robotics in order to discuss the current and next
generation of Assistive Technologies. The researchers will present
their latest progress and discuss novel ideas in the field.
Besides the technologies used, emphasis will be given to the
precise problem definition, the available benchmark databases, the
need for evaluation protocols and procedures in the context of
Assistive Technologies.<br>
<br>
Research papers are solicited in, but not limited to, the
following areas topics:<br>
<br>
Augmentative and Alternative Communication<br>
<br>
<br>
Human-Robot Interaction<br>
<br>
<br>
Mobility Aids<br>
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Rehabilitation Aids<br>
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Home Healthcare<br>
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Technology for Cognition<br>
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Automatic Emotional Hearing and Understanding<br>
<br>
<br>
Activity Monitoring Systems<br>
<br>
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Manipulation Aids<br>
<br>
<br>
Scene Understanding<br>
<br>
<br>
Life-logging<br>
<br>
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Visual Attention and Visual Saliency<br>
<br>
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Smart Environments<br>
<br>
<br>
Safety and Security<br>
<br>
<br>
Ambient Assistive Living<br>
<br>
<br>
Privacy-preserving systems<br>
<br>
<br>
Robot assistants<br>
<br>
<br>
Quality of Life Technologies<br>
<br>
<br>
Navigation Systems Sensory Substitution<br>
<br>
<br>
Mobile and Wearable Systems<br>
<br>
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Applications for the Visually Impaired<br>
<br>
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Sign language recognition and applications for hearing impaired<br>
<br>
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Applications for the Ageing Society<br>
<br>
<br>
Datasets and Evaluation Procedures<br>
<br>
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Personalised Monitoring<br>
<br>
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Video summarization<br>
<br>
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Egocentric and First-Person Vision<br>
<br>
<br>
Applications to improve the health and wellbeing of children and
elderly<br>
<br>
<br>
Food Understanding<br>
<br>
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Autonomous Driving<br>
<br>
<br>
Driver Assistance Systems<br>
<br>
<br>
Brain-Computer Interfaces (BCI) for Assistive Systems<br>
<br>
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"Trust" and Assistive Systems<br>
<br>
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Mobility in "Smart" cities<br>
<br>
<br>
Multi-modal Human-Centered Systems<br>
<br>
<br>
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_________________<br>
<br>
<br>
INVITED SPEAKERS<br>
<br>
<br>
_________________<br>
<br>
<b><i>Dima Damen - </i></b>Associate Professor (Reader) at the
Department of Computer Science, Visual Information Laboratory,
University of Bristol. <br>
Web page: <a class="moz-txt-link-freetext" href="http://people.cs.bris.ac.uk/~damen/">http://people.cs.bris.ac.uk/~damen/</a><br>
<br>
<b><i>F</i></b><i><b>iora Pirri</b></i> - Professor of Computer
Science at Dipartimento di Ingegneria Informatica, Automatica e
Gestionale, Sapienza, Università di Roma<br>
Web page: <a class="moz-txt-link-freetext" href="https://www.dis.uniroma1.it/~pirri/">https://www.dis.uniroma1.it/~pirri/</a><br>
<br>
____________<br>
SUBMISSION AND REVISION<br>
___________<br>
<br>
All submissions will be handled electronically via the
conference’s CMT Website:
<a class="moz-txt-link-freetext" href="https://cmt3.research.microsoft.com/ACVR2019">https://cmt3.research.microsoft.com/ACVR2019</a><br>
The format for paper submission is the same as the ICCV 2019 main
conference. Please refer to ICCV 2019 author guidelines available
at
<a class="moz-txt-link-freetext" href="http://iccv2019.thecvf.com/submission/main_conference/author_guidelines">http://iccv2019.thecvf.com/submission/main_conference/author_guidelines</a><br>
Specific instructions and guidelines for the ACVR workshop are
available on the workshop website.<br>
ACVR reviewing will be double-blind. Each submission will be
reviewed by at least three reviewers for originality,
significance, clarity, soundness, relevance and technical
contents.<br>
The paper length should match that intended for final publication.<br>
Papers are limited to eight pages, including figures and tables,
in the ICCV style. Additional pages containing only cited
references are allowed.<br>
Papers that are not properly anonymized, or do not use the
template, or have more than eight pages (excluding references)
will be rejected without review.<br>
Authors may optionally submit additional material that was ready
at the time of paper submission but could not be included due to
constraints of format or space.<br>
The authors should refer to the contents of the supplementary
material appropriately in the paper. Reviewers will be encouraged
to look at it, but are not obligated to do so.<br>
Supplementary material may include videos, proofs, additional
figures or tables, more detailed analysis of experiments presented
in the paper.<br>
All supplementary material must be self-contained and zipped into
a single file.<br>
<br>
_________________<br>
<br>
WORKSHOP CHAIRS<br>
_________________<br>
<br>
Giovanni Maria Farinella, University of Catania, IT<br>
Marco Leo, CNR-Institute of Applied Sciences and Intelligent
Systems, IT<br>
Gerard G. Medioni, University of Southern California, US<br>
Mohan Trivedi, University of California San Diego, US<br>
</tt>
<p><tt><br>
</tt></p>
<p><tt>_________________ </tt></p>
<tt>ENDORSERS<br>
________________<br>
<br>
CVPL - Associazione Italiana in Computer Vision, Pattern
Recognition and Machine Learning<br>
<br>
<br>
<a class="moz-txt-link-freetext" href="http://www.cvpl.it/">http://www.cvpl.it/</a><br>
<br>
<br>
</tt><br>
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