[visionlist] ECCV2024 - 12th International Workshop on Assistive Computer Vision and Robotics (ACVR 2024)

[Marco Leo]

CALL FOR CONTRIBUTIONS

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ECCV2024 - 12th International Workshop on Assistive Computer Vision and 
Robotics (ACVR 2024)

Milan, Sept 29, 2024

In conjunction with ECCV2024 - European Conference on Computer Vision

Web: https://iplab.dmi.unict.it/acvr2024/ 
<https://iplab.dmi.unict.it/acvr2024/> Contact: ACVR.workshop at gmail.com 
<mailto:ACVR.workshop at gmail.com>


Submission: https://cmt3.research.microsoft.com/ACVR2024 
<https://cmt3.research.microsoft.com/ACVR2024>

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IMPORTANT DATES

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Full Paper Submission: 15/07/2024

Doctoral Consortium Submission: 20/08/2024

Abstract Submission: 20/08/2024

Notification of Acceptance Full Paper: 15/08/2024

Camera-Ready Paper Due: 15/08/2024

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CALL FOR PAPERS

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Designing systems with humans in the loop to assist them is an exciting 
research area, with the potential to impact society at large. This 
requires a very different set of innovations, tools, and evaluation 
criteria than classic methods involved in fully autonomous tasks. 
Implementing such kinds of systems still requires a lot of effort to 
reach an adequate level of reliability and introduces challenging 
satellite issues related to usability, privacy, and acceptability. 
Besides, multidisciplinary competencies are required to adapt computer 
vision and robotics techniques and algorithms to industrial, social, 
medical, and economic constraints. The workshop aims to fill the reality 
gap in computer vision and robotics for assistive technology. The goal 
is to provide, year by year, a view of how recent findings in computer 
vision and robotics are changing assistive technologies, with emphasis 
on the related additional issues and how they have been addressed by the 
researchers working in the different research areas involved. We solicit 
*contributed papers* presenting assistive systems and describing how the 
related issues have been addressed. Submissions describing the outcome 
of research projects on the topics of the workshop are also welcome. We 
encourage the presentation of new data benchmarks for the 
workshop-related fields.

Finally, the workshop will give a unique opportunity to students, who 
are close to finishing or who have recently been awarded their 
doctorate, to discuss their research and interact with experienced 
researchers in computer vision and robotics (*Doctoral Consortium*).

Contributions 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 the hearing impaired; 
Applications for the Ageing Society;

Personalized Monitoring;

Egocentric and First-Person Vision;

Applications to improve the health and well-being of children and 
elderly; Autonomous Driving;

Driver Assistance Systems;

Brain-Computer Interfaces (BCI) for Assistive Systems;

Multi-modal Human-Centered Systems;

Environment Monitoring.

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INVITED SPEAKERS

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**

DEEPAK PATHAK, CARNEGIE MELLON UNIVERSITY, US 
HTTPS://WWW.CS.CMU.EDU/~DPATHAK/ <https://www.cs.cmu.edu/~DPATHAK/>

Talk Title: " A bottom-up approach to sensorimotor learning"

LAMBERTO BALLAN, UNIVERSITY OF PADOVA, IT

HTTP://WWW.LAMBERTOBALLAN.NET/ <http://www.lambertoballan.net/>

Talk Title: "From context-aware motion prediction to embodied visual 
navigation"

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SUBMISSION AND REVISION

____________

All submissions will be handled electronically via the conference’s CMT 
Website: https://cmt3.research.microsoft.com/ACVR2024 
<https://cmt3.research.microsoft.com/ACVR2024>

The format for paper submission is the same as the ECCV 2024 main 
conference. Please refer to ECCV 2024 submission policies 
(https://eccv.ecva.net/Conferences/2024/SubmissionPolicies 
<https://eccv.ecva.net/Conferences/2024/SubmissionPolicies>)

See the instructions and guidelines on the following page: 
http://iplab.dmi.unict.it/acvr2024/submission 
<http://iplab.dmi.unict.it/acvr2024/submission>

CONTRIBUTED PAPERS

ACVR2024 paper reviewing will be double-blind; 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 14 pages, including figures and tables, in the 
LNCS style of Springer.

Additional pages containing only cited references are allowed.

Please download the ECCV 2024 Author Kit for detailed formatting 
instructions. Note also that the template has changed since ECCV 2022. 
Authors must thus use this new template instead of templates from older 
conferences.

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, do not use the template, or have more than 14 
pages (excluding references) will be rejected without review.

ABSTRACTS

Authors may also submit abstracts describing published or ongoing works. 
The abstract should follow the same format as contributed papers and 
should be at least 2 pages and at most 4 pages long, including 
references. Authors of accepted abstracts will be given the possibility 
to present their work during the workshop. The abstract will not be 
published in the workshop proceedings. The accepted abstracts will be 
published online on the workshop website upon consensus agreement 
provided by the authors.

DOCTORAL CONSORTIUM

The doctoral consortium is intended to be a discussion forum for PhD 
students and recent PhD graduates who wish to present, discuss, and 
receive feedback on their research activity. Eligible applicants are 
researchers who were awarded their PhD at most a year before the 
submission deadline, PhD candidates and PhD students who expected to 
graduate within two years. Applicants should submit a document 
describing their research activity at most 4 pages long (excluding 
references). The document will not be published in the workshop 
proceedings, and it may contain ongoing work and already published 
material. Eligible submissions will be selected by the workshop 
organizers and given the possibility to present and discuss their work 
during the workshop event in Paris. We expect submissions to cover 
aspects relevant to the aims and topics of the workshop. The submitted 
documents should follow the same format as the contributed papers.

The accepted documents will be published online on the workshop website 
upon consensus agreement provided by the authors.

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PROCEEDING AND JOURNAL SPECIAL ISSUE

_____________________________________

All accepted contributed papers will appear in the ECCV2024 workshops 
proceedings.

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 a recognized journal in the field of 
computer vision or robotic research.

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WORKSHOP ORGANIZERS


-- 
Giovanni Farinella (University of Catania, IT),
Gerard Medioni (University of Southern California, US)
Marco Leo (National Research Council of Italy, IT)
Francesco Ragusa (University of Catania, IT),
Mohan Trivedi (University of California San Diego, US)


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