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<p>**************************************************<br>
ECCV2022 - 10th International Workshop on Assistive Computer
Vision and Robotics (ACVR 2022) <br>
Tel-Aviv, Oct. 23-27, 2022</p>
<p>In conjunction with ECCV2022 - European Conference on Computer
Vision</p>
<p>Web: <a class="moz-txt-link-freetext"
href="https://iplab.dmi.unict.it/acvr2022/">https://iplab.dmi.unict.it/acvr2022/</a>
<br>
</p>
<p>Contact: <a class="moz-txt-link-abbreviated
moz-txt-link-freetext" href="mailto:ACVR.workshop@gmail.com">ACVR.workshop@gmail.com</a></p>
<p>Submission Website: <a class="moz-txt-link-freetext"
href="https://cmt3.research.microsoft.com/ACVR2022">https://cmt3.research.microsoft.com/ACVR2022</a></p>
<p>********************************************************</p>
<p>_________________</p>
<p>IMPORTANT DATES<br>
_________________<br>
</p>
<p style="margin:0cm"><span style="font-size:11pt"><span
style="font-family:Calibri,sans-serif"> Full Paper Submission:
July 06, 2022<br>
Notification of Acceptance: August 1, 2022<br>
Camera-Ready Paper Due: August 16, 2022</span></span></p>
<p>________________</p>
<p>CALL FOR PAPERS<br>
________________<br>
<br>
The last decade has witnessed the significant impact of Computer
Vision and Robotics on real-world products. <br>
</p>
<p>The traditional Computer Vision problems such as tracking, 3D
reconstruction, detection, recognition, odometry, navigation, and
ultimately, are now solved with significantly higher accuracy
using Machine Learning. <br>
</p>
<p>However, most of these results have focused on constrained
application scenarios that do not involve the integration of
feedback from the user. Since these applications do not consider
the user's intentions and goals, they tend to be of limited use
when it is necessary to provide assistance to humans.</p>
<p>With the pervasive successes of Computer Vision and Robotics and
the advent of industry 4.0, it has become paramount to design
systems that can truly assist humans and augment their abilities
to tackle both physical and intellectual tasks. We broadly refer
to such systems as "assistive technologies". Examples of these
technologies include approaches to assist visually impaired people
to navigate and perceive the world, wearable devices which make
use of artificial intelligence, mixed and augmented reality to
improve perception and bring computation directly to the user, and
systems designed to aid industrial processes and improve the
safety of workers. These technologies need to consider an
operational paradigm in which the user is central and can both
influence and be influenced by the system. Despite some examples
of this approach exist (e.g., OrCam, HoloLens), implementing
applications according to this "human-in-the-loop" scenario still
requires a lot of effort to reach an adequate level of reliability
and introduces challenging satellite issues related to usability,
privacy, and acceptability.</p>
<p>The main scope of ACVR 2022 is to bring together researchers from
the diverse fields of engineering, computer science, social and
biomedical sciences who work in the context of technologies
involving Computer Vision and Robotics related to real-time
continuous assistance and support of humans while performing any
task.</p>
<p>Research papers are solicited in, but not limited to, the
following topic areas:</p>
<p>Symbiotic Human-Machine Systems;<br>
Computer Vision to aid Industrial Processes;<br>
Augmented and Mixed Reality;<br>
Computer Vision to Improve the safety of workers;<br>
Human-Robot Interaction;<br>
Home Healthcare;<br>
Technology for Cognition;<br>
Automatic Emotional Hearing and Understanding;<br>
Activity Monitoring Systems;<br>
Manipulation Aids;<br>
Smart Environments;<br>
Safety and Security;<br>
Ambient Assistive Living;<br>
Privacy-preserving systems;<br>
Robot assistants;<br>
Quality of Life Technologies;<br>
Navigation Systems;<br>
Mobile and Wearable Systems;<br>
Applications for the Visually Impaired;<br>
Sign language recognition and applications for hearing impaired;<br>
Applications for the Ageing Society;<br>
Personalized Monitoring;<br>
Egocentric and First-Person Vision;<br>
Applications to improve the health and wellbeing of children and
elderly;<br>
Autonomous Driving;<br>
Driver Assistance Systems;<br>
Brain-Computer Interfaces (BCI) for Assistive Systems;<br>
Multi-modal Human-Centered Systems.</p>
<p>_________________</p>
<p>INVITED SPEAKERS<br>
_________________</p>
<p>BERNARD GHANEM, KING ABDULLAH UNIVERSITY OF SCIENCE AND
TECHNOLOGY (KAUST), SA - <a class="moz-txt-link-freetext"
href="HTTPS://WWW.BERNARDGHANEM.COM/">HTTPS://WWW.BERNARDGHANEM.COM/</a></p>
<p>RICHARD NEWCOMBE, META REALITY LABS, US<br>
____________</p>
<p>SUBMISSION AND REVISION<br>
____________</p>
<p>All submissions will be handled electronically via the
conference’s CMT Website: <a class="moz-txt-link-freetext"
href="https://cmt3.research.microsoft.com/ACVR2022">https://cmt3.research.microsoft.com/ACVR2022</a></p>
<p>The format for paper submission is the same as the ECCV 2022 main
conference. <br>
</p>
<p>Please refer to ECCV 2022 author guidelines (<a
class="moz-txt-link-freetext"
href="https://eccv2022.ecva.net/submission/call-for-papers/">https://eccv2022.ecva.net/submission/call-for-papers/</a>)</p>
<p>See the instructions and guidelines at the following page: <a
class="moz-txt-link-freetext"
href="http://iplab.dmi.unict.it/acvr2022/submission">http://iplab.dmi.unict.it/acvr2022/submission</a></p>
<p>ACVR reviewing will be double blind; in that authors will not
know the names of the area reviewers of their papers, and area
reviewers will not know the names of the authors. Each submitted
paper will be revised by three experts.</p>
<p>The paper length should match that intended for final
publication. Papers are limited to 8 pages (excluding references),
including figures and tables. Additional pages must contain only
cited references. While there is no limit to the number of
references, reviewers are instructed to check for pertinence.
Citation of any of the co-authors’ published work must be done in
the third person. Reference to unpublished work can be made by
anonymizing it, including it as supplementary material, and
referencing it as Anonymous.</p>
<p>Authors may optionally submit additional material that could not
be included in the main paper due to constraints of format (e.g.,
a video), space (e.g., a proof of a theorem or an extra figure or
table) or anonymity.</p>
<p>Papers that are not blind, or do not use the template, or have
more than 8 pages (excluding references) will be rejected without
review.</p>
<p>_____________________</p>
<p>PROCEEDING AND JOURNAL SPECIAL ISSUE<br>
_____________________</p>
<p>All accepted papers will appear in the ECCV workshops
proceedings.</p>
<p>_________________</p>
<p>WORKSHOP ORGANIZERS<br>
_________________</p>
<p>Giovanni Maria Farinella, University of Catania, IT</p>
<p>Antonino Furnari, University of Catania, IT</p>
<p>Marco Leo, CNR-Institute of Applied Sciences and Intelligent
Systems, IT</p>
<p>Gerard G. Medioni, University of Southern California, US </p>
<p>Mohan Trivedi, University of California San Diego, US<br>
_________________</p>
<p>ENDORSERS<br>
_________________ </p>
<p>CVPL - Associazione Italiana in Computer Vision, Pattern
Recognition andMachine Learning</p>
<p><a class="moz-txt-link-freetext" href="http://www.cvpl.it/">http://www.cvpl.it/</a><br>
_________</p>
<p>CONTACTS<br>
_________</p>
<p>Email: <a class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:ACVR.workshop@gmail.com">ACVR.workshop@gmail.com</a><br>
Website: <a class="moz-txt-link-freetext"
href="https://iplab.dmi.unict.it/acvr2022/">https://iplab.dmi.unict.it/acvr2022/</a></p>
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