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Kathryn Leonard
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- affiliation: Occidental College, Los Angeles, USA
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2020 – today
- 2022
- [j4]Dena Bazazian, Bonnie Magland, Cindy Grimm
, Erin W. Chambers, Kathryn Leonard
Perceptually grounded quantification of 2D shape complexity. Vis. Comput. 38(9): 3351-3363 (2022) - [i8]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:
Semi-supervised Nonnegative Matrix Factorization for Document Classification. CoRR abs/2203.03551 (2022) - [i7]Arushi Goel, Niveditha Kalavakonda, Nour Karessli, Tejaswi Kasarla, Kathryn Leonard, Boyi Li, Nermin Samet, Ghada Zamzmi:
WiCV 2021: The Eighth Women In Computer Vision Workshop. CoRR abs/2203.05825 (2022) - [i6]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, Chuntian Wang, Megan Coffee
Automatic Infectious Disease Classification Analysis with Concept Discovery. CoRR abs/2209.02415 (2022) - 2021
- [c9]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:
Semi-supervised Nonnegative Matrix Factorization for Document Classification. ACSCC 2021: 1355-1360 - [i5]Hazel Doughty, Nour Karessli, Kathryn Leonard, Boyi Li, Carianne Martinez, Azadeh Mobasher, Arsha Nagrani, Srishti Yadav:
WiCV 2020: The Seventh Women In Computer Vision Workshop. CoRR abs/2101.03787 (2021) - 2020
- [i4]Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition. CoRR abs/2001.00631 (2020) - [i3]Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko
Semi-supervised NMF Models for Topic Modeling in Learning Tasks. CoRR abs/2010.07956 (2020)
2010 – 2019
- 2019
- [c8]Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador:
WiCV 2019: The Sixth Women In Computer Vision Workshop. CVPR Workshops 2019: 469-471 - [c7]Ilke Demir
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding. CVPR Workshops 2019: 1143-1151 - [c6]Bastien Durix, Sylvie Chambon, Kathryn Leonard, Jean-Luc Mari, Géraldine Morin
The Propagated Skeleton: A Robust Detail-Preserving Approach. DGCI 2019: 343-354 - [c5]Bastien Durix, Géraldine Morin
One-step Compact Skeletonization. Eurographics (Short Papers) 2019: 21-24 - [i2]Ilke Demir
SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding. CoRR abs/1903.09233 (2019) - [i1]Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador:
WiCV 2019: The Sixth Women In Computer Vision Workshop. CoRR abs/1909.10225 (2019) - 2018
- [j3]Thibault Blanc-Beyne, Géraldine Morin
A salience measure for 3D shape decomposition and sub-parts classification. Graph. Model. 99: 22-30 (2018) - 2016
- [j2]Axel Carlier, Kathryn Leonard, Stefanie Hahmann
The 2D shape structure dataset: A user annotated open access database. Comput. Graph. 58: 23-30 (2016) - [c4]Kathryn Leonard, Géraldine Morin
A 2D shape structure for decomposition and part similarity. ICPR 2016: 3216-3221 - 2013
- [c3]Kathryn Leonard, Rebecca Strawbridge, Danika Lindsay, Raquel Barata, Matthew Dawson, Lawrence Averion:
Minimal Geometric Representation and Strawberry Stem Detection. ICCSA (6) 2013: 144-149 - [c2]Kathryn Leonard, Derek DeSantis:
Error Correction for Fire Growth Modeling. ICCSA (1) 2013: 216-227
2000 – 2009
- 2007
- [j1]Kathryn Leonard:
Efficient Shape Modeling: epsilon-Entropy, Adaptive Coding, and Boundary Curves -vs- Blum's Medial Axis. Int. J. Comput. Vis. 74(2): 183-199 (2007) - 2006
- [c1]Kathryn Leonard:
An Efficiency Criterion for 2D Shape Model Selection.. CVPR (1) 2006: 1289-1296
Coauthor Index
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