We solicit original contributions that deploy statistical deep learning methods employed to perform various computer vision tasks including, but not limited to:
We invite submissions describing works in the domains suggested above or in closely-related areas. Accepted papers will be presented in oral\poster sessions at the workshop and appear in the CVF open access archive. The review process is single-blind. Each paper will receive strong accept (for oral candidate), accept or reject decision. Note that there is no author feedback phase during submission. We will also invite selected papers for submission to a special issue on Statistical Deep Learning for Computer Vision in the International Journal of Computer Vision (IJCV). Extended versions of selected papers will be invited for book chapter publication.
Paper submission deadline: July 31, 2019
Author Notification: Sep 4, 2019
Camera-ready deadline: Sep 25, 2019
A paper submission has to be in English, in pdf format, and at most FOUR pages (excluding references). The paper format must follow the same guidelines as used in the ICCV 2019 submissions.
A latex template is given in the following webpage:
For submission of papers, please go to the webpage: https://cmt3.research.microsoft.com/SDLCV2019.If you encounter any problems regarding the submission, please feel free to drop us an email at:
Hongyang Li, email@example.com