| Point-slam: Dense neural point cloud-based slam E Sandström, Y Li, L Van Gool, MR Oswald Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 287 | 2023 |
| How nerfs and 3d gaussian splatting are reshaping slam: a survey F Tosi, Y Zhang, Z Gong, E Sandström, S Mattoccia, MR Oswald, M Poggi arXiv preprint arXiv:2402.13255 4, 1, 2024 | 115 | 2024 |
| Loopy-slam: Dense neural slam with loop closures L Liso, E Sandström, V Yugay, L Van Gool, MR Oswald Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 67 | 2024 |
| Splat-slam: Globally optimized rgb-only slam with 3d gaussians E Sandström, G Zhang, K Tateno, M Oechsle, M Niemeyer, Y Zhang, ... Proceedings of the Computer Vision and Pattern Recognition Conference, 1680-1691, 2025 | 65 | 2025 |
| Loopsplat: Loop closure by registering 3d gaussian splats L Zhu, Y Li, E Sandström, S Huang, K Schindler, I Armeni 2025 International Conference on 3D Vision (3DV), 156-167, 2025 | 61 | 2025 |
| Glorie-slam: Globally optimized rgb-only implicit encoding point cloud slam G Zhang, E Sandström, Y Zhang, M Patel, L Van Gool, MR Oswald arXiv preprint arXiv:2403.19549, 2024 | 42 | 2024 |
| A real-time online learning framework for joint 3d reconstruction and semantic segmentation of indoor scenes D Menini, S Kumar, MR Oswald, E Sandström, C Sminchisescu, ... IEEE Robotics and Automation Letters 7 (2), 1332-1339, 2021 | 34 | 2021 |
| UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM E Sandström, K Ta, L Van Gool, MR Oswald Workshop proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 31 | 2023 |
| Catastrophic child's play: Easy to perform, hard to defend adversarial attacks CH Ho, B Leung, E Sandstrom, Y Chang, N Vasconcelos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 10 | 2019 |
| How nerfs and 3D gaussian splatting are reshaping slam: A survey. arXiv 2024 F Tosi, Y Zhang, Z Gong, E Sandström, S Mattoccia, MR Oswald, M Poggi arXiv preprint arXiv:2402.13255, 0 | 10 | |
| Learning online multi-sensor depth fusion E Sandström, MR Oswald, S Kumar, S Weder, F Yu, C Sminchisescu, ... European Conference on Computer Vision, 87-105, 2022 | 9 | 2022 |
| Oowl500: Overcoming dataset collection bias in the wild B Leung, CH Ho, A Persekian, D Orozco, Y Chang, E Sandstrom, B Liu, ... arXiv preprint arXiv:2108.10992, 2021 | 1 | 2021 |
| ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos S Chen, E Sandström, S Lombardi, S Li, MR Oswald arXiv preprint arXiv:2509.17864, 2025 | | 2025 |
| VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction AG Puigjaner, EM Rella, E Sandström, A Chhatkuli, L Van Gool arXiv preprint arXiv:2408.08766, 2024 | | 2024 |
| Dense Visual Mapping and Tracking using Depth and Monocular Cameras E Sandström ETH Zurich, 2024 | | 2024 |
| VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction A Gassol Puigjaner, E Mello Rella, E Sandström, A Chhatkuli, L Van Gool | | 2024 |
| Multi-sensor Replica Dataset E Sandström | | 2022 |
| Supplementary Material Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians E Sandström, G Zhang, K Tateno, M Oechsle, M Niemeyer, Y Zhang, ... | | |
Martin R. OswaldUniversity of AmsterdamVerified email at inf.ethz.ch
