13th International Conference on Computer Vision Systems

-, 2021, Virtual Conference

Vienna Ringstraße
© WienTourismus/Christian Stemper

Submission

https://easychair.org/conferences/?conf=icvs2021

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference.

Each submission will be double-blindly peer-reviewed by at least three experts. This requires the paper to be anonymous so please follow carefully the instructions for the double-blind review.

A paper submission implies that, every author will agree with specific policies and if the paper is accepted, one of the authors, or a proxy, will present the paper at the conference. Submissions not using the Springer templates or disclosing identity of the authors will be rejected without review.

Please note that for those using Latex or Microsoft Word, the LNCS templates should be used that can be found here.

Camera Ready Submission

For the camera ready submission, the authors must upload on EasyChair:

Please note that the LNCS templates can be found here.

Do not forget to include the information that was withheld for the double-blind reviewing process such as author names, affiliations, email addresses, acknowledgements and ORCID numbers. Authors may also make modifications to refer to prior work as their own.

Each paper must have at least one author be registered no later than the conference paper camera ready deadline. When registering a paper please use the paper ID provided by EasyChair.

Paper Format

The layout of the papers must be prepared according to the Instructions for the Preparation of Camera-Ready Contributions to LNCS Proceedings. Authors are asked to pay extra attention to these instructions. In addition to the Springer author instructions, authors should ensure that the submitted paper meets the following criteria:

Prepare for Double-Blind Review

All reviewing will be double blind, so the paper must not include any information, which allows the authors to be identified. Please consider in particular the following points to ensure a double blind reviewing process: