We welcome submissions for the 6'th International IEEE CVPR Workshop on Differential Geometry in Computer Vision and Machine Learning, to be held in conjunction with IEEE CVPR 2021 in a virtual format. This workshop will serve as a welcoming forum not only to researchers in the CVPR community but also will also appeal to a broader audience in the statistical shape analysis, machine learning, statistical image analysis, applications of Riemannian geometry in computer vision, graphics, and the statistics and machine learning communities.

PAPER SUBMISSION
We invite original full length contributed papers on topics including deep learning and geometry, Riemannian methods in computer vision, statistical shape analysis, machine learning on nonlinear manifolds, as well as applications to shape detection, tracking and retrieval, topological methods in structure analysis, functional data analysis, medical imaging and analysis, graphics, biometrics, activity recognition, bioinformatics, etc. All papers will be reviewed under a double blind review process. Accepted papers will appear in proceedings and indexed in IEEE Xplore. 

We also invite 4-page extended abstracts outlining late-breaking work and preliminary results including new datasets etc. These will not be included in the proceedings, ie. IEEE Xplore, but will be available on the website for download. Submissions of courtesy posters which have been previously published, including papers accepted to the main CVPR 2021 conference are also allowed. These posters will not be included in the proceedings.

IMPORTANT DATES
* Deadline for Submission – 15'th March 2021
* Notification of Acceptance – 10'th April 2021
* Camera Ready – late April 2021
* Submission will be via CMT https://cmt3.research.microsoft.com/DiffCVML2021

ORGANIZERS
Shantanu Joshi – University of California Los Angeles
Rushil Anirudh – Los Alamos National Laboratory
Radmila Sazdanovic – North Carolina State University

For any additional questions please contact any of us.