An Efficiency Criterion for 2D Shape Model Selection.. - Kathryn Leonard (CVPR (1), 2006)

Efficient Shape Modeling: epsilon-Entropy, Adaptive Coding, and Boundary Curves -vs- Blum's Medial Axis. - Kathryn Leonard (Int. J. Comput. Vis., 2007)

Error Correction for Fire Growth Modeling. - Kathryn Leonard; Derek DeSantis (ICCSA (1), 2013)

Minimal Geometric Representation and Strawberry Stem Detection. - Kathryn Leonard; Rebecca Strawbridge; Danika Lindsay; Raquel Barata; Matthew Dawson; Lawrence Averion (ICCSA (6), 2013)

A 2D shape structure for decomposition and part similarity. - Kathryn Leonard; Géraldine Morin; Stefanie Hahmann; Axel Carlier (ICPR, 2016)

The 2D shape structure dataset: A user annotated open access database. - Axel Carlier; Kathryn Leonard; Stefanie Hahmann; Géraldine Morin; Misha Collins (Comput. Graph., 2016)

A salience measure for 3D shape decomposition and sub-parts classification. - Thibault Blanc-Beyne; Géraldine Morin; Kathryn Leonard; Stefanie Hahmann; Axel Carlier (Graph. Model., 2018)

WiCV 2019: The Sixth Women In Computer Vision Workshop. - Irene Amerini; Elena Balashova 001; Sayna Ebrahimi; Kathryn Leonard; Arsha Nagrani; Amaia Salvador (CVPR Workshops, 2019)

SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding. - Ilke Demir; Camilla Hahn; Kathryn Leonard; Géraldine Morin; Dana Rahbani; Athina Panotopoulou; Amélie Fondevilla; Elena Balashova 001; Bastien Durix; Adam Kortylewski (CVPR Workshops, 2019)

The Propagated Skeleton: A Robust Detail-Preserving Approach. - Bastien Durix; Sylvie Chambon; Kathryn Leonard; Jean-Luc Mari; Géraldine Morin (DGCI, 2019)

One-step Compact Skeletonization. - Bastien Durix; Géraldine Morin; Sylvie Chambon; Jean-Luc Mari; Kathryn Leonard (Eurographics (Short Papers), 2019)

On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition. - Miju Ahn; Nicole Eikmeier; Jamie Haddock; Lara Kassab; Alona Kryshchenko; Kathryn Leonard; Deanna Needell; R. W. M. A. Madushani; Elena Sizikova; Chuntian Wang (CoRR, 2020)

Semi-supervised NMF Models for Topic Modeling in Learning Tasks. - Jamie Haddock; Lara Kassab; Sixian Li; Alona Kryshchenko; Rachel Grotheer; Elena Sizikova; Chuntian Wang; Thomas Merkh; R. W. M. A. Madushani; Miju Ahn; Deanna Needell; Kathryn Leonard (CoRR, 2020)

Semi-supervised Nonnegative Matrix Factorization for Document Classification. - Jamie Haddock; Lara Kassab; Sixian Li; Alona Kryshchenko; Rachel Grotheer; Elena Sizikova; Chuntian Wang; Thomas Merkh; R. W. M. A. Madushani; Miju Ahn; Deanna Needell; Kathryn Leonard (ACSCC, 2021)

WiCV 2020: The Seventh Women In Computer Vision Workshop. - Hazel Doughty; Nour Karessli; Kathryn Leonard; Boyi Li; Carianne Martinez; Azadeh Mobasher; Arsha Nagrani; Srishti Yadav (CoRR, 2021)

WiCV 2021: The Eighth Women In Computer Vision Workshop. - Arushi Goel; Niveditha Kalavakonda; Nour Karessli; Tejaswi Kasarla; Kathryn Leonard; Boyi Li; Nermin Samet; Ghada Zamzmi (CoRR, 2022)

Automatic Infectious Disease Classification Analysis with Concept Discovery. - Elena Sizikova; Joshua Vendrow; Xu Cao; Rachel Grotheer; Jamie Haddock; Lara Kassab; Alona Kryshchenko; Thomas Merkh; R. W. M. A. Madushani; Kenny Moise; Annie Ulichney; Huy V. Vo; et al. (CoRR, 2022)

Perceptually grounded quantification of 2D shape complexity. - Dena Bazazian; Bonnie Magland; Cindy Grimm; Erin W. Chambers; Kathryn Leonard (Vis. Comput., 2022)