Please note: This is NOT for the special issue!
We follow closely the ECCV 2014 formatting and submission guidelines, however using an adapted template and different webpage on the CMT paper submission site.
Please refer to the following files for detailed formatting instructions.
A complete paper should be submitted using the above templates, which are blind-submission review-formatted templates.
Papers with more than 14 pages (excluding references) will be rejected without review.
Please note: We offer double blind reviewing and strongly encourage authors to adhere to the guidelines outlined in the example PDF above. However, in some cases keeping anonymity may be hard to do and not reasonable. E.g. for a data sharing paper an external link may be needed to give access to data sets that cannot be provided as supplemental material (>10MB). This is allowed and not considered a violation.
Instructions on online paper submission
Step 1: Create a user account on the CMT paper submission site
Step 2: Enter the domain of ONLY your current institution
For each paper you want to submit, do the following:
Step 3: Enter a title and abstract
Step 4: Add your co-authors
If your submission has co-authors, you will need to associate them with your submission:
Step 5: Select one primary subject area for your paper
Step 6: Select up to three secondary subject areas
You should not upload a file at this stage yet.
Step 7: Include your paper ID
Step 8: Upload your paper’s PDF
Step 9: Optionally upload a supplementary materials file
Instructions on supplemental material
Authors may optionally upload supplementary material (up to 10MB) which may include:
CVPPP encourages authors to submit videos using an MP4 codec such as DivX contained in an AVI. Also, please submit a README text file with each video specifying the exact codec used and a URL where the codec can be downloaded.
Authors should refer to the contents of the supplementary material appropriately in the paper. Note that reviewers will be encouraged to look at it, but are not obligated to do so. Please note that:
Type of Submissions
Computer Vision Solutions to Plant Phenotyping: We invite authors to present unique computer vision approaches, or adaptations of current state of the art methods in computer vision, to solve plant phenotyping problems (segmentation, tracking, etc). Authors are encouraged to provide accurate description of dataset acquisition as well as appropriate problem definitions both from a computer vision and a phenotyping aspect. Papers will be evaluated based on originality and content quality. All accepted papers will appear in the proceedings. Authors are encouraged to share the code of their implementations.
Challenge: We invite authors to address the leaf segmentation challenge in their paper.
Open source implementations, comparison and evaluation of existing methods: We invite authors to present implementations, comparisons and evaluations of existing methods. Papers will be evaluated based on originality and content quality. A link to the publicly available code must be made available at the time of camera-ready submission. All accepted papers will appear in the proceedings.
Dataset Sharing and Problem Definition: Authors are invited to submit papers describing datasets and their acquisition. The papers must include an accurate problem definition (both from a computer vision and phenotyping perspective), describe appropriate evaluation criteria, preferably also in code or pseudo-code, and ground truth and other metadata. The papers must describe the data format, and must specify any usage restrictions. The authors could describe previous algorithmic attempts (if any) and findings in solving the problem, if available. A sample of the shared data must be made publicly available at the time of submission to allow for review. Ideally, please upload it as supplemental material, if possible. Please contact firstname.lastname@example.org or email@example.com if you need to upload large files (>10MB). Upon acceptance and submission of the camera ready, the complete dataset must be made publically available (at authors’ responsibility of hosting).
Papers will be evaluated for the content, the uniqueness and challenge of the problem from a computer vision viewpoint, and data quality and data sharing policy. Accepted papers will be presented either orally or in a poster session, and will appear in the proceedings. A superset of the submitted data may be packaged and hosted at a mirror location (to be announced at the workshop). A jointly authored journal paper may be invited describing the datasets made available (to be announced at the workshop).