| Nice-slam: Neural implicit scalable encoding for slam Z Zhu, S Peng, V Larsson, W Xu, H Bao, Z Cui, MR Oswald, M Pollefeys Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1051 | 2022 |
| Back to the feature: Learning robust camera localization from pixels to pose PE Sarlin, A Unagar, M Larsson, H Germain, C Toft, V Larsson, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 376 | 2021 |
| Pixel-perfect structure-from-motion with featuremetric refinement P Lindenberger, PE Sarlin, V Larsson, M Pollefeys Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 274 | 2021 |
| Nicer-slam: Neural implicit scene encoding for rgb slam Z Zhu, S Peng, V Larsson, Z Cui, MR Oswald, A Geiger, M Pollefeys 2024 International Conference on 3D Vision (3DV), 42-52, 2024 | 243 | 2024 |
| Efficient solvers for minimal problems by syzygy-based reduction V Larsson, K Astrom, M Oskarsson Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 171 | 2017 |
| SOLD2: Self-supervised occlusion-aware line description and detection R Pautrat, JT Lin, V Larsson, MR Oswald, M Pollefeys Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 137 | 2021 |
| Lamar: Benchmarking localization and mapping for augmented reality PE Sarlin, M Dusmanu, JL Schönberger, P Speciale, L Gruber, V Larsson, ... European Conference on Computer Vision, 686-704, 2022 | 123 | 2022 |
| Gluestick: Robust image matching by sticking points and lines together R Pautrat, I Suárez, Y Yu, M Pollefeys, V Larsson Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 112 | 2023 |
| Deeplsd: Line segment detection and refinement with deep image gradients R Pautrat, D Barath, V Larsson, MR Oswald, M Pollefeys Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 104 | 2023 |
| Online invariance selection for local feature descriptors R Pautrat, V Larsson, MR Oswald, M Pollefeys European conference on computer vision, 707-724, 2020 | 96 | 2020 |
| Why having 10,000 parameters in your camera model is better than twelve T Schops, V Larsson, M Pollefeys, T Sattler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 87 | 2020 |
| Handcrafted outlier detection revisited L Cavalli, V Larsson, MR Oswald, T Sattler, M Pollefeys European conference on computer vision, 770-787, 2020 | 83 | 2020 |
| Beyond grobner bases: Basis selection for minimal solvers V Larsson, M Oskarsson, K Astrom, A Wallis, Z Kukelova, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 80 | 2018 |
| Making minimal solvers for absolute pose estimation compact and robust V Larsson, Z Kukelova, Y Zheng Proceedings of the IEEE International Conference on Computer Vision, 2316-2324, 2017 | 74 | 2017 |
| Deep shutter unrolling network P Liu, Z Cui, V Larsson, M Pollefeys Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 70 | 2020 |
| Convex low rank approximation V Larsson, C Olsson International Journal of Computer Vision 120 (2), 194-214, 2016 | 69 | 2016 |
| Adalam: Revisiting handcrafted outlier detection L Cavalli, V Larsson, MR Oswald, T Sattler, M Pollefeys arXiv preprint arXiv:2006.04250, 2020 | 68 | 2020 |
| 3d line mapping revisited S Liu, Y Yu, R Pautrat, M Pollefeys, V Larsson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 59 | 2023 |
| Privacy preserving structure-from-motion M Geppert, V Larsson, P Speciale, JL Schönberger, M Pollefeys European Conference on Computer Vision, 333-350, 2020 | 56 | 2020 |
| Radially-distorted conjugate translations J Pritts, Z Kukelova, V Larsson, O Chum Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 51 | 2018 |
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Spatial AI Lab, MicrosoftVerified email at inf.ethz.ch
