Call for Papers
Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of computer vision and pattern recognition including, but not limited to:
Paper Registration Deadline:
Feb 29, 2024 01:00 PM PST or
All submissions will be handled electronically via the CMT conference submission website https://cmt3.research.microsoft.com/ECCV2024
All authors must agree to the policies stipulated below. Papers must be registered in CMT by the paper registration deadline.
The submission deadline will not be extended. Supplementary materials can be submitted until the supplementary materials deadline.
General: ECCV 2024 uses the Springer Nature Code of Conduct for Book Authors as the basis for many of the policies. We therefore urge you to familiarize yourself with these guidelines before preparing and submitting your work to ECCV 2024.
In submitting a manuscript to ECCV, the authors acknowledge that no paper substantially similar in content has been or will be submitted to another conference or workshop during the review period (March 7, 2024 – July 1, 2024). Please refer to the Submission Policies on the conference web site for additional details on dual submissions and guidelines concerning prior work.
By submitting a paper to ECCV, the authors agree to the review process and understand that papers are processed by CMT, TPMS (Toronto Paper Matching System), as well as OpenReview to match each manuscript to the best possible area chairs and reviewers. Moreover, the authors agree that papers will be checked for plagiarism using iThenticate.
The authors should be aware that each accepted paper is expected to be presented at ECCV in-person by an author (or an authorized delegate).
All accepted papers will be made publicly available by Springer and/or the European Computer Vision Association (ECVA) no earlier than four weeks before the conference. Authors wishing to submit a patent understand that the paper’s official public disclosure is four weeks before the conference or whenever the authors make it publicly available, whichever is first. More information about ECVA is available at https://www.ecva.net/.