Deep shells: Unsupervised shape correspondence with optimal transport M Eisenberger, A Toker, L Leal-Taixé, D Cremers Advances in Neural information processing systems 33, 10491-10502, 2020 | 76 | 2020 |
Smooth shells: Multi-scale shape registration with functional maps M Eisenberger, Z Lahner, D Cremers Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 75 | 2020 |
Neuromorph: Unsupervised shape interpolation and correspondence in one go M Eisenberger, D Novotny, G Kerchenbaum, P Labatut, N Neverova, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 58 | 2021 |
Dynamicearthnet: Daily multi-spectral satellite dataset for semantic change segmentation A Toker, L Kondmann, M Weber, M Eisenberger, A Camero, J Hu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 48 | 2022 |
Divergence‐free shape correspondence by deformation M Eisenberger, Z Lähner, D Cremers Computer Graphics Forum 38 (5), 1-12, 2019 | 41 | 2019 |
Fast sampling of parameterised Gaussian random fields J Latz, M Eisenberger, E Ullmann Computer Methods in Applied Mechanics and Engineering 348, 978-1012, 2019 | 27 | 2019 |
A unified framework for implicit sinkhorn differentiation M Eisenberger, A Toker, L Leal-Taixé, F Bernard, D Cremers Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
Hamiltonian dynamics for real-world shape interpolation M Eisenberger, D Cremers Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
Smooth shells: Multi-scale shape registration with functional maps. 2020 IEEE M Eisenberger, Z Lähner, D Cremers CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12262-12271, 2020 | 11 | 2020 |
Divergence-free shape interpolation and correspondence M Eisenberger, Z Lähner, D Cremers arXiv preprint arXiv:1806.10417, 2018 | 4 | 2018 |
Geometrically Consistent Partial Shape Matching V Ehm, P Roetzer, M Eisenberger, M Gao, F Bernard, D Cremers arXiv preprint arXiv:2309.05013, 2023 | 2 | 2023 |
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors M Eisenberger, A Toker, L Leal-Taixé, D Cremers Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
Sigma: Scale-invariant global sparse shape matching M Gao, P Roetzer, M Eisenberger, Z Lähner, M Moeller, D Cremers, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 645-654, 2023 | 1 | 2023 |
Implicit shape completion via adversarial shape priors A Saroha, M Eisenberger, T Yenamandra, D Cremers arXiv preprint arXiv:2204.10060, 2022 | 1 | 2022 |
Partial-to-Partial Shape Matching with Geometric Consistency V Ehm, M Gao, P Roetzer, M Eisenberger, D Cremers, F Bernard arXiv preprint arXiv:2404.12209, 2024 | | 2024 |
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation A Toker, M Eisenberger, D Cremers, L Leal-Taixé arXiv preprint arXiv:2403.16605, 2024 | | 2024 |
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation D Cao, M Eisenberger, NE Amrani, D Cremers, F Bernard arXiv preprint arXiv:2402.18920, 2024 | | 2024 |
ResolvNet: A Graph Convolutional Network with multi-scale Consistency C Koke, A Saroha, Y Shen, M Eisenberger, D Cremers arXiv preprint arXiv:2310.00431, 2023 | | 2023 |
Parameterized solution of Karhunen-Loeve Eigenproblems with Reduced Basis Methods in Uncertainty Quantification M Eisenberger | | 2017 |
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport Supplementary Material M Eisenberger, A Toker, L Leal-Taixé, D Cremers | | |