| 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 | 36 | 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 | 33 | 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 | 31 | 2016 |
| Adventures in academic year undergraduate research K Leonard Notices of the AMS 55 (11), 1422-1426, 2008 | 20 | 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 | 17* | 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 | 16 | 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 | 11 | 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 | 10 | 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 | 9 | 2019 |
| Measuring shape space: ϵ-Entropy, adaptive coding and two-dimensional shape K Leonard Brown University, 2004 | 9 | 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 | 8 | 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 | 8 | 2014 |
| 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 | 7 | 2020 |
| 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 | 7 | 2018 |
| 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| 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 | 5 | 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 | 4 | 2022 |
| 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 | 4 | 2019 |
| 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 | 3 | 2021 |
Géraldine MorinProfessorVerified email at irit.fr
