Kathryn Leonard
Kathryn Leonard
Dept of Computer Science, Occidental College
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Cited by
Cited by
Skelneton 2019: Dataset and challenge on deep learning for geometric shape understanding
I Demir, C Hahn, K Leonard, G Morin, D Rahbani, A Panotopoulou, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
The 2d shape structure dataset: A user annotated open access database
A Carlier, K Leonard, S Hahmann, G Morin, M Collins
Computers & Graphics 58, 23-30, 2016
A 2d shape structure for decomposition and part similarity
K Leonard, G Morin, S Hahmann, A Carlier
2016 23rd International Conference on Pattern Recognition (ICPR), 3216-3221, 2016
Adventures in academic year undergraduate research
K Leonard
Notices of the AMS 55 (11), 1422-1426, 2008
Efficient Shape Modeling: -Entropy, Adaptive Coding, and Boundary Curves -vs- Blum’s Medial Axis
K Leonard
International journal of computer vision 74, 183-199, 2007
The propagated skeleton: A robust detail-preserving approach
B Durix, S Chambon, K Leonard, JL Mari, G Morin
Discrete Geometry for Computer Imagery: 21st IAPR International Conference …, 2019
Exploring 2d shape complexity
E Chambers, T Emerson, C Grimm, K Leonard
Research in Shape Analysis: WiSH2, Sirince, Turkey, June 2016, 61-83, 2018
On large-scale dynamic topic modeling with nonnegative CP tensor decomposition
M Ahn, N Eikmeier, J Haddock, L Kassab, A Kryshchenko, K Leonard, ...
Advances in Data Science, 181-210, 2021
One-step compact skeletonization
B Durix, G Morin, S Chambon, JL Mari, K Leonard
40th Annual Conference of the European Association for Computer Graphics …, 2019
Measuring shape space: ϵ-Entropy, adaptive coding and two-dimensional shape
K Leonard
Brown University, 2004
Skeleton-based recognition of shapes in images via longest path matching
G Bal, J Diebold, EW Chambers, E Gasparovic, R Hu, K Leonard, ...
Research in Shape Modeling: Los Angeles, July 2013, 81-99, 2015
Metric spaces of shapes and applications: compression, curve matching and low-dimensional representation
M Feiszli, S Kushnarev, K Leonard
Geometry, Imaging and Computing 1 (2), 173-221, 2014
A salience measure for 3D shape decomposition and sub-parts classification
T Blanc-Beyne, G Morin, K Leonard, S Hahmann, A Carlier
Graphical Models 99, 22-30, 2018
Semi-supervised nonnegative matrix factorization for document classification
J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ...
2021 55th Asilomar Conference on Signals, Systems, and Computers, 1355-1360, 2021
Semi-supervised nmf models for topic modeling in learning tasks
J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ...
arXiv preprint arXiv:2010.07956, 2020
WiCV 2019: The Sixth Women In Computer Vision Workshop
I Amerini, E Balashova, S Ebrahimi, K Leonard, A Nagrani, A Salvador
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Minimal geometric representation and strawberry stem detection
K Leonard, R Strawbridge, D Lindsay, R Barata, M Dawson, L Averion
2013 13th International Conference on Computational Science and Its …, 2013
Perceptually grounded quantification of 2D shape complexity
D Bazazian, B Magland, C Grimm, E Chambers, K Leonard
The Visual Computer 38 (9), 3351-3363, 2022
Automatic Infectious Disease Classification Analysis with Concept Discovery
E Sizikova, J Vendrow, X Cao, R Grotheer, J Haddock, L Kassab, ...
arXiv preprint arXiv:2209.02415, 2022
Wicv 2020: The seventh women in computer vision workshop
H Doughty, N Karessli, K Leonard, B Li, C Martinez, A Mobasher, ...
arXiv preprint arXiv:2101.03787, 2021
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