| 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 | 92 | 2020 |
| 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 | 83 | 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 | 65 | 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 | 62 | 2022 |
| Divergence‐free shape correspondence by deformation M Eisenberger, Z Lähner, D Cremers Computer Graphics Forum 38 (5), 1-12, 2019 | 46 | 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 | 28 | 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 | 24 | 2022 |
| Hamiltonian dynamics for real-world shape interpolation M Eisenberger, D Cremers Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 14 | 2020 |
| Divergence-free shape interpolation and correspondence M Eisenberger, Z Lähner, D Cremers arXiv preprint arXiv:1806.10417, 2018 | 4 | 2018 |
| Satsynth: Augmenting image-mask pairs through diffusion models for aerial semantic segmentation A Toker, M Eisenberger, D Cremers, L Leal-Taixé Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| 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 | 3 | 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 | 3 | 2023 |
| Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation D Cao, M Eisenberger, N El Amrani, D Cremers, F Bernard Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| 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 |
| Geometrically Consistent Partial Shape Matching V Ehm, P Roetzer, M Eisenberger, M Gao, F Bernard, D Cremers 2024 International Conference on 3D Vision (3DV), 914-922, 2024 | 1 | 2024 |
| Partial-to-Partial Shape Matching with Geometric Consistency V Ehm, M Gao, P Roetzer, M Eisenberger, D Cremers, F Bernard Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 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 | 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 |
| Parameterized solution of Karhunen-Loeve Eigenproblems with Reduced Basis Methods in Uncertainty Quantification M Eisenberger | | 2017 |
| Transferability for Graph Convolutional Networks C Koke, A Saroha, Y Shen, M Eisenberger, MM Bronstein, D Cremers ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 0 | | |
Daniel CremersTechnical University of MunichBestätigte E-Mail-Adresse bei tum.de
