ACVR 2025
Thirteenth International Workshop on Assistive Computer Vision and Robotics
19th or 20th October 2025, Honolulu
SUBMISSION AND REVISION
All submissions will be handled electronically via the conference’s CMT Website.
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.
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 Reference to unpublished work can be made by anonymizing it, including it as supplementary material, and referencing it as Anonymous.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.
All accepted contributed papers will appear in the ICCV 2025 workshops proceedings.
ABSTRACTS
Authors may also submit abstracts describing published or ongoing works. The abstract will be single-blind and should follow the same format as contributed papers; it should be at least 2 pages and at most 6 pages long, including references. Additionally, authors can use the ICCV format, with a maximum of 4 pages, 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 The abstract will not be published in the workshop proceedings.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) that will be single-blind. 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 Honolulu. 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.
ATTENDENCE
Each workshop and tutorial paper MUST have at least one registered author (In-person workshops/tutorials passport with student fee if applicable).
Virtual registrations will NOT cover a paper submission. If circumstances prevent you from attending in person to present your paper, you may attend virtually but you must register and pay for your paper under an in-person registration.
Additional registration info can be found at https://iccv.thecvf.com/Conferences/2025/Pricing2.
ACKNOWLEDGMENT
The following acknowledgment must be included on your conference website, as well as the conference proceedings if applicable. * The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.