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ACVR 2022 : ECCV - Tenth International Workshop on Assistive Computer Vision and Robotics

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Link: https://iplab.dmi.unict.it/acvr2022/dates
 
When Oct 24, 2022 - Oct 28, 2022
Where On Line
Submission Deadline Jul 13, 2002
Notification Due Jul 31, 2002
Final Version Due Aug 16, 2002
Categories    computer vision   robotics   machine learning
 

Call For Papers

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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@gmail.com

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

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IMPORTANT DATES
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Full Paper Submission: July 6, 022
Notification of Acceptance: August 1, 2022
Camera-Ready Paper Due: August 16, 2022

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CALL FOR PAPERS
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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 acceptability.

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.

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INVITED SPEAKERS
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BERNARD GHANEM, KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY (KAUST), SA - HTTPS://WWW.BERNARDGHANEM.COM/

RICHARD NEWCOMBE, META REALITY LABS, US
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SUBMISSION AND REVISION
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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 conference.

Please refer to ECCV 2022 author guidelines (https://eccv2022.ecva.net/submission/call-for-papers/)

See the instructions and guidelines at the following page: http://iplab.dmi.unict.it/acvr2022/submission

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.

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PROCEEDING AND JOURNAL SPECIAL ISSUE
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All accepted papers will appear in the ECCV workshops proceedings.

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

http://www.cvpl.it/
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CONTACTS
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Email: ACVR.workshop@gmail.com
Website: https://iplab.dmi.unict.it/acvr2022/

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