16th June 2019, Long Beach, CA, USA
In Conjunction with the Conference on Computer Vision and Pattern Recognition, CVPR 2019
How to submit ?

All submissions will be handled electronically through the submission website.

To submit to the challenges please check each challenge website for instructions!

Full papers

A complete paper should be submitted in camera-ready format, except for author names and affiliation, using the same formatting guidelines as CVPR. All reviews are double-blind, so please be careful not to include any identifying information. All papers should be submitted as PDF files (10 MB maximum).

Accepted papers will be allocated 8 pages excluding references. The length of the submitted paper should match that intended for final publication.

Supplemental material

You may also submit supplemental materials to assist with the review. These may include videos, additional images or other results, or appendices. Please note that the submitted paper should be as self-contained as possible and that these materials should supplement not complete the content of the paper.

All supplemental materials are must be zipped into a single file, or you may submit a single PDF file for non-video materials. In either case, the maximum file size for the supplemental materials is 10 MB.

Policies for full papers

All papers submitted for CVPR must represent original, unpublished work.

Dual submission elsewhere is not permitted.

By submitting a manuscript to CVPR, the authors assert that it has not been previously published in substantially similar form. Furthermore, no paper which contains significant overlap with the contributions of this paper either has been or will be submitted during the CVPR 2019 review period to either a journal or any conference (including CVPR 2019) or any workshop. Papers violating this condition will be rejected.

If there are papers that may appear to the reviewers to violate this condition, then it is your responsibility to: (1) cite these papers (preserving anonymity), (2) argue in the body of your paper why your CVPR paper is non-trivially different from these concurrent submissions, and (3) include anonymized versions of those papers in the supplemental material.

All work submitted to CVPR is considered confidential until the papers appear.

This workshop is part of

Participating institutions