[visionlist] [CfP] ECCV2022 - 10th International Workshop on Assistive Computer Vision and Robotics (ACVR 2022)

Marco Leo marco.leo at cnr.it
Sat Jun 11 04:00:49 -04 2022

ECCV2022 - 10th International Workshop on Assistive Computer Vision and 
Robotics (ACVR 2022)
Tel-Aviv,  Oct. 23-27, 2022

In conjunction with ECCV2022 - European Conference on Computer Vision

Web: https://iplab.dmi.unict.it/acvr2022/

Contact: ACVR.workshop at gmail.com

Submission Website: https://cmt3.research.microsoft.com/ACVR2022




  Full Paper Submission: July 06, 2022
  Notification of Acceptance: August 1, 2022
  Camera-Ready Paper Due: August 16, 2022



The last decade has witnessed the significant impact of Computer Vision 
and Robotics on real-world products.

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.

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 

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.

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.






All submissions will be handled electronically via the conference’s CMT 
Website: https://cmt3.research.microsoft.com/ACVR2022

The format for paper submission is the same as the ECCV 2022 main 

Please refer to ECCV 2022  author guidelines 

See the instructions and guidelines at the following page: 

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.

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.

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.

Papers that are not blind, or do not use the template, or have more than 
8 pages (excluding references) will be rejected without review.



All accepted papers will appear in the ECCV workshops proceedings.



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


CVPL - Associazione Italiana in Computer Vision, Pattern Recognition 
andMachine Learning



Email: ACVR.workshop at gmail.com
Website: https://iplab.dmi.unict.it/acvr2022/

Questa email è stata esaminata alla ricerca di virus da AVG.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20220611/10ebc0ef/attachment.html>

More information about the visionlist mailing list