Call For Papers
We invite submissions of 2~4 page extended abstracts *including references* in topics related to (but certainly not limited to):
- Unsupervised and self-supervised learning with unlabeled videos
- Video (future frame) prediction and generation
- Cross-modal self-supervision, e.g., sound prediction from video, and vice versa
- Unsupervised visual concept discovery from videos
- Unsupervised visual representation learning
- Learning from noisy web videos
- Learning for actively acquired videos
We will accept submissions of (1) papers that have not been previously published or accepted for publication in substantially similar form and (2) papers that have been published or accepted for publication in recent venue including journal, conference, and workshop. The latter case also includes papers that will appear at CVPR 2019.
Accepted papers will not appear in CVPR proceedings. We would instead encourage authors of accepted papers to post their papers to arxiv; we will provide links on this workshop website.
Important Dates
(All deadlines are due by 11:59 p.m. Pacific Standard Time on the listed dates)
- Paper submission: Monday, April 15, 2019
- Notification to authors: Friday, May 17, 2019
Submission Instruction
CMT Website: https://cmt3.research.microsoft.com/LUV2019
All submissions will be handled electronically via the workshop's CMT Website. Papers are limited to four pages, including figures and tables and references; no additional pages are allowed. Please refer to the CVPR style for detailed formatting instructions.
For submissions of papers that have been published or accepted for publication in recent venue, we will follow the Single Blind review process, in that authors do not know the names of the reviewers of their papers, but reviewers do know the names of the authors. Authors MUST indicate, in the footnote section on the first page of their submission, which venue their papers have been published or will be published. For example, if the paper will appear at CVPR 2019, the submission should include a footnote on the first page showing "To appear at 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition".
For submissions of papers that have not been previously published or accepted for publication elsewhere, we will follow the Double Blind review process, in that authors do not know the names of the reviewers of their papers, and reviewers do not know the names of the authors. Please read Section 1.6 of the example paper egpaper_for_review.pdf for detailed instructions on how to preserve anonymity. Avoid providing information that may identify the authors in the acknowledgments (e.g., co-workers and grant IDs). Avoid providing links to websites that identify the authors. Violation of any of these guidelines will lead to rejection without review.