Topology, Algebra, and Geometry in Computer Vision
Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point Clouds-
[pdf]
[bibtex]@InProceedings{Haitman_2021_ICCV, author = {Haitman, Yuval and Francos, Joseph M. and Scharf, Louis L.}, title = {Grassmannian Dimensionality Reduction for Optimized Universal Manifold Embedding Representation of 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4213-4221} }
A Unified Framework for Non-Negative Matrix and Tensor Factorisations With a Smoothed Wasserstein Loss-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Stephen Y.}, title = {A Unified Framework for Non-Negative Matrix and Tensor Factorisations With a Smoothed Wasserstein Loss}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4195-4203} }
Multi-Dimensional Scaling on Groups-
[pdf]
[arXiv]
[bibtex]@InProceedings{Blumstein_2021_ICCV, author = {Blumstein, Mark and Kvinge, Henry}, title = {Multi-Dimensional Scaling on Groups}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4239-4244} }
Two-Parameter Persistence for Images via Distance Transform-
[pdf]
[bibtex]@InProceedings{Hu_2021_ICCV, author = {Hu, Chuan-Shen and Lawson, Austin and Chung, Yu-Min and Keegan, Kaitlin}, title = {Two-Parameter Persistence for Images via Distance Transform}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4176-4184} }
A Manifold Learning Based Video Prediction Approach for Deep Motion Transfer-
[pdf]
[bibtex]@InProceedings{Cai_2021_ICCV, author = {Cai, Yuliang and Mohan, Sumit and Niranjan, Adithya and Jain, Nilesh and Cloninger, Alex and Das, Srinjoy}, title = {A Manifold Learning Based Video Prediction Approach for Deep Motion Transfer}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4231-4238} }
The Flag Manifold as a Tool for Analyzing and Comparing Sets of Data Sets-
[pdf]
[bibtex]@InProceedings{Ma_2021_ICCV, author = {Ma, Xiaofeng and Kirby, Michael and Peterson, Chris}, title = {The Flag Manifold as a Tool for Analyzing and Comparing Sets of Data Sets}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4185-4194} }
Dual Transformation and Manifold Distances Voting for Outlier Rejection in Point Cloud Registration-
[pdf]
[bibtex]@InProceedings{Efraim_2021_ICCV, author = {Efraim, Amit and Francos, Joseph M.}, title = {Dual Transformation and Manifold Distances Voting for Outlier Rejection in Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4204-4212} }
Sheaves as a Framework for Understanding and Interpreting Model Fit-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kvinge_2021_ICCV, author = {Kvinge, Henry and Jefferson, Brett and Joslyn, Cliff and Purvine, Emilie}, title = {Sheaves as a Framework for Understanding and Interpreting Model Fit}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {4222-4230} }