[visionlist] ICCV2025 - 13th International Workshop on Assistive Computer Vision and Robotics (ACVR 2025)

Marco Leo marco.leo at cnr.it
Thu Jun 26 00:27:40 -05 2025


CALL FOR CONTRIBUTIONS

**************************************************

ICCV2025 - 13th International Workshop on Assistive Computer Vision and 
Robotics (ACVR 2025)

Honolulu, a day between Oct 19 and Oct 20, 2025

In conjunction with ICCV2025 - International Conference on Computer Vision

 Web: https://iplab.dmi.unict.it/acvr2025/ 
<https://iplab.dmi.unict.it/acvr2025/>Contact: ACVR.workshop at gmail.com 
<mailto:ACVR.workshop at gmail.com>

********************************************************

_________________

IMPORTANT DATES

_________________

*Full Paper Submission: 28/06/2025*

Doctoral Consortium Submission: 31/07/2025

Abstract Submission: 31/07/2025

Notification of Acceptance Full Paper: 10/07/2025

Camera-Ready Paper Due: 10/08/2025

________________

CALL FOR PAPERS

________________

Designing systems with humans in the loop able to assist the user is an 
active research area, with the potential for impact on society at large. 
Investigations in this area require a large set of innovations, tools, 
and evaluation criteria, even when compared to research on fully 
autonomous systems. Implementing such kinds of systems 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 algorithms to industrial, social, medical, and economic 
constraints. 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. *Contributed papers* presenting assistive 
systems and describing how the related issues have been addressed are 
expected. Submissions describing the outcome of nationally or 
internationally funded research projects on the topics of the workshop 
are also welcome. We encourage the presentation of new data benchmarks 
for the workshop-related fields, and we also expect competition 
proposals from emerging fields or new application scenarios relevant to 
the workshop.

The workshop will host a *doctoral consortium* to also give a unique 
opportunity to students, who are close to finishing or who have recently 
finished their doctorate, to discuss their ongoing research and to 
interact with experienced researchers. Finally, the workshop will also 
host a session to provide everyone the possibility to present ongoing 
research through a quick oral presentation. Authors should submit an 
*abstract* to apply for granting presentation and the document will not 
be published in the workshop proceedings.


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 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;

Environment Monitoring.

_________________

INVITED SPEAKERS (CONFIRMED)

_________________

ANGELA YAO, SCHOOL OF COMPUTING – NATIONAL UNIVERSITY OF SINGAPORE, SG 
https://www.comp.nus.edu.sg/~ayao/ <https://www.comp.nus.edu.sg/~ayao/>

____________

SUBMISSION AND REVISION

____________

All submissions will be handled electronically via the conference’s CMT 
Website: https://cmt3.research.microsoft.com/ACVR2025 
<https://cmt3.research.microsoft.com/ACVR2025>.

The format for paper submission is the same as the ICCV 2025 main 
conference. Please refer to ICCV 2025 submission policies 
(https://iccv.thecvf.com/Conferences/2025/AuthorGuidelines 
<https://iccv.thecvf.com/Conferences/2025/AuthorGuidelines>)

See the instructions and guidelines on the following page: 
http://iplab.dmi.unict.it/acvr2025/submission 
<http://iplab.dmi.unict.it/acvr2025/submission>

CONTRIBUTED PAPERS

ACVR2025 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 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, do not use the template, or have more than 8 
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.

_________________

WORKSHOP ORGANIZERS

_________________

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

Francesco Ragusa, University of Catania, IT

Mohan Trivedi, University of California San Diego, US

_______________________

ENDORSERS

_________________

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

http://www.cvpl.it/ <http://www.cvpl.it/>

_________

CONTACTS

_________

Email: ACVR.workshop at gmail.com <mailto:ACVR.workshop at gmail.com>__

Website: https://iplab.dmi.unict.it/acvr2025/ 
<https://iplab.dmi.unict.it/acvr2025/>



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