8th International Workshop on Assistive Computer Vision and Robotics (ACVR 2020) Call for Papers

ECCV 2020 - 8th International Workshop on Assistive Computer Vision and
Robotics (ACVR 2020)

Glasgow- UK- 28th August 2020

In conjunction with ECCV 2020 - European Conference on Computer Vision


Web: https://iplab.dmi.unict.it/acvr2020/ Contact: ACVR.workshop@gmail.com



Full Paper Submission: June 15th, 2020
Notification of Acceptance: July 15th, 2020
Camera-Ready Paper Due: September 1st, 2020
The last decade has witnessed the significant impact of Computer
Vision and Robotics on real-world products. This has been possible
thanks to the results of traditional Computer Vision and Robotics
problems such as tracking, 3D reconstruction, detection, recognition,
odometry, navigation, and ultimately, thanks to deep
learning. 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.
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.
The main scope of ACVR 2020 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. The scope goes beyond
that of the previous editions. The workshop was conceived (in 2013)
for pure assistive topics (mainly related to the field of
health). However, the rapid increase in the demand for tools to
support daily life and industrial processes has pushed the interest of
the research community also towards those application fields.
This widening of the interests of the workshop contributors and
audience will enable researchers working on similar technologies but
in different application fields to compare their studies and to
discuss new ideas. To this aim, besides the technologies used,
emphasis will be given to the precise definition of problems, the
available benchmark databases, and to the need for evaluation
Topics Research papers are solicited in, but not limited to, the
following topic areas:
- Symbiotic Human-Machine Systems;
- Computer Vision to aid Industrial Processes;
- Augmented and Mixed Reality;
- Computer Vision to Improve the safety of workers;
- Human-Robot Interaction;
- Home Healthcare;
- Technology for Cognition;
- Automatic Emotional Hearing and Understanding;
- Activity Monitoring Systems;
- Manipulation Aids;
- Smart Environments;
- Safety and Security;
- Ambient Assistive Living;
- Privacy-preserving systems;
- Robot assistants;
- Quality of Life Technologies;
- Navigation Systems;
- Mobile and Wearable Systems;
- Applications for the Visually Impaired;
- Sign language recognition and applications for hearing impaired;
- Applications for the Ageing Society;
- Personalized Monitoring;
- Egocentric and First-Person Vision;
- Applications to improve the health and wellbeing of children and elderly;
- Autonomous Driving;
- Driver Assistance Systems;
- Brain-Computer Interfaces (BCI) for Assistive Systems;
- Multi-modal Human-Centered Systems.
- Dhruv Batra, Georgia Tech, USA
- Walterio Mayol-Cuevas, University of Bristol, UK
- Marc Pollefeys, ETH Zurich, CH
- Jim Regh, Georgia Tech, USA
All submissions will be handled electronically via the conference's
CMT Website: https://cmt3.research.microsoft.com/ACVR2020.
The format for paper submission is the same as the ECCV 2020 main
conference. Please refer to ECCV 2020 author guidelines
See the instructions and guidelines at the following page:
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.
The paper length should match that intended for final
publication. Papers are limited to 14 pages (excluding references),
including figures and tables. Additional pages must contain only cited
Papers that are not blind, or do not use the template, or have more
than 14 pages (excluding references) will be rejected without review.
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.
Submission Deadline: June 15th, 2020
Accepted papers will be published in the (post-conference) proceedings
of the workshops.
Authors may be invited to submit an extended version (at least 40%
more than the seminar versions) of their work to a special issue
(currently still in the planning stage) in one of the most highly
rated journals in the field of computer vision or of robotic research.
Giovanni Maria Farinella, University of Catania, IT
Antonino Furnari,  University of Catania, IT
Marco Leo, CNR-Institute of Applied Sciences and Intelligent Systems, IT
Gerard G. Medioni, University of Southern California, US
Mohan Trivedi, University of California San Diego, US
Associazione Italiana in Computer Vision, Pattern Recognition and
Machine Learning
Email: ACVR.workshop@gmail.com
Website: https://iplab.dmi.unict.it/acvr2020/