Submission
Call for papers
We will have an open submission format where i) participants in the competition will be required to submit a paper, or ii) researchers can share their novel unpublished research in deep learning for geometric computing. The top submissions in each category will be invited to present their work during the workshop and will be published in the workshop proceedings. The workshop will also honor the best paper and the best student paper.
Although we encourage all submissions to benchmark their results on the evaluation platform, there are other relevant research areas that our datasets do not address. For those areas, the scope of the submissions may include but is not limited to the following general topics:
Boundary extraction from 2D/3D shapes
Geometric deep learning on 3D and higher dimensions
Generative methods for parametric representations
Novel shape descriptors and embeddings for geometric deep learning
Deep learning on non-Euclidean geometries
Transformation invariant shape abstractions
Shape abstraction in different domains
Synthetic data generation for data augmentation in geometric deep learning
Comparison of shape representations for efficient deep learning
Novel kernels and architectures specifically for 3D generative models
Eigen-spectra analysis and graph-based approaches for 3D data
Applications of geometric deep learning in different domains
Learning-based estimation of shape differential quantities
Detection of geometric feature lines from 3D data, including 3D point clouds and depth images
Geometric shape segmentation, including patch decomposition and sharp lines detection
Submission instructions
The CMT site for paper submissions is here
Each submitted paper must be at least 4 pages and can be up to 8 pages excluding references. Please refer to the CVPR Author guidelines.
The review process will be double blind but the papers will be linked to any associated challenge submissions. Selected papers will be published in IEEE CVPRW proceedings, visible in IEEE Xplore and on the CVF Website.
Important dates
Paper submission deadline:March 27th, 2022Acceptance notification: April 10th, 2022
Camera ready due: April 18th, 2022
Workshop (full day): June 20th, 2021