CVPR 2023 Open Access Repository

Topological, Algebraic, and Geometric Pattern Recognition With Applications Workshop

Shape and Intensity Analysis of Glioblastoma Multiforme Tumors: Yi Tang Chen,

Sebastian Kurtek; [pdf]
[bibtex]
@InProceedings{Chen_2023_CVPR, author = {Chen, Yi Tang and Kurtek, Sebastian}, title = {Shape and Intensity Analysis of Glioblastoma Multiforme Tumors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {553-560} }
Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images From Single 2D Slices: Kalyan Varma Nadimpalli,

Amit Chattopadhyay,

Bastian Rieck; [pdf] [arXiv]
[bibtex]
@InProceedings{Nadimpalli_2023_CVPR, author = {Nadimpalli, Kalyan Varma and Chattopadhyay, Amit and Rieck, Bastian}, title = {Euler Characteristic Transform Based Topological Loss for Reconstructing 3D Images From Single 2D Slices}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {571-579} }
Topology-Aware Focal Loss for 3D Image Segmentation: Andac Demir,

Elie Massaad,

Bulent Kiziltan; [pdf] [arXiv]
[bibtex]
@InProceedings{Demir_2023_CVPR, author = {Demir, Andac and Massaad, Elie and Kiziltan, Bulent}, title = {Topology-Aware Focal Loss for 3D Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {580-589} }
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection: Huma Jamil,

Yajing Liu,

Turgay Caglar,

Christina Cole,

Nathaniel Blanchard,

Christopher Peterson,

Michael Kirby; [pdf] [arXiv]
[bibtex]
@InProceedings{Jamil_2023_CVPR, author = {Jamil, Huma and Liu, Yajing and Caglar, Turgay and Cole, Christina and Blanchard, Nathaniel and Peterson, Christopher and Kirby, Michael}, title = {Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {590-599} }
TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data: Audun Myers,

Henry Kvinge,

Tegan Emerson; [pdf] [supp]
[bibtex]
@InProceedings{Myers_2023_CVPR, author = {Myers, Audun and Kvinge, Henry and Emerson, Tegan}, title = {TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {600-609} }
Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification: Ainkaran Santhirasekaram,

Avinash Kori,

Mathias Winkler,

Andrea Rockall,

Francesca Toni,

Ben Glocker; [pdf] [supp]
[bibtex]
@InProceedings{Santhirasekaram_2023_CVPR, author = {Santhirasekaram, Ainkaran and Kori, Avinash and Winkler, Mathias and Rockall, Andrea and Toni, Francesca and Glocker, Ben}, title = {Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {561-570} }
Topology Preserving Compositionality for Robust Medical Image Segmentation: Ainkaran Santhirasekaram,

Mathias Winkler,

Andrea Rockall,

Ben Glocker; [pdf]
[bibtex]
@InProceedings{Santhirasekaram_2023_CVPR, author = {Santhirasekaram, Ainkaran and Winkler, Mathias and Rockall, Andrea and Glocker, Ben}, title = {Topology Preserving Compositionality for Robust Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {543-552} }
Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-Based Explainability Tools: Davis Brown,

Henry Kvinge; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Brown_2023_CVPR, author = {Brown, Davis and Kvinge, Henry}, title = {Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-Based Explainability Tools}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {620-627} }
Quantifying Extrinsic Curvature in Neural Manifolds: Francisco Acosta,

Sophia Sanborn,

Khanh Dao Duc,

Manu Madhav,

Nina Miolane; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Acosta_2023_CVPR, author = {Acosta, Francisco and Sanborn, Sophia and Duc, Khanh Dao and Madhav, Manu and Miolane, Nina}, title = {Quantifying Extrinsic Curvature in Neural Manifolds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {610-619} }