| Reppoints: Point set representation for object detection Z Yang, S Liu, H Hu, L Wang, S Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 1211 | 2019 |
| Dist: Rendering deep implicit signed distance function with differentiable sphere tracing S Liu, Y Zhang, S Peng, B Shi, M Pollefeys, Z Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 347 | 2020 |
| NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo Y Wei, S Liu, Y Rao, W Zhao, J Lu, J Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 288 | 2021 |
| Towards Better Generalization: Joint Depth-Pose Learning without PoseNet W Zhao, S Liu, Y Shu, YJ Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 198 | 2020 |
| An improved evaluation framework for generative adversarial networks S Liu, Y Wei, J Lu, J Zhou arXiv preprint arXiv:1803.07474, 2018 | 61 | 2018 |
| Impression network for video object detection C Hetang, H Qin, S Liu, J Yan arXiv preprint arXiv:1712.05896, 2017 | 56* | 2017 |
| Particlesfm: Exploiting dense point trajectories for localizing moving cameras in the wild W Zhao, S Liu, H Guo, W Wang, YJ Liu European Conference on Computer Vision, 523-542, 2022 | 48 | 2022 |
| 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 | 37 | 2023 |
| Conditional single-view shape generation for multi-view stereo reconstruction Y Wei, S Liu, W Zhao, J Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 33 | 2019 |
| Normalized diversification S Liu, X Zhang, J Wangni, J Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 28 | 2019 |
| A Confidence-Based Iterative Solver of Depths and Surface Normals for Deep Multi-View Stereo W Zhao, S Liu, Y Wei, H Guo, YJ Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 17 | 2021 |
| Depth-guided optimization of neural radiance fields for indoor multi-view stereo Y Wei, S Liu, J Zhou, J Lu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 10835 …, 2023 | 15 | 2023 |
| NeRF in Robotics: A Survey G Wang, L Pan, S Peng, S Liu, C Xu, Y Miao, W Zhan, M Tomizuka, ... arXiv preprint arXiv:2405.01333, 2024 | 10 | 2024 |
| Lazy Visual Localization via Motion Averaging S Dong, S Liu, H Guo, B Chen, M Pollefeys arXiv preprint arXiv:2307.09981, 2023 | 5 | 2023 |
| Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction R Pautrat, S Liu, P Hruby, M Pollefeys, D Barath Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Handbook on Leveraging Lines for Two-View Relative Pose Estimation P Hruby, S Liu, R Pautrat, M Pollefeys, D Barath 2024 International Conference on 3D Vision (3DV), 376-386, 2024 | 3 | 2024 |
| 3D Neural Edge Reconstruction L Li, S Peng, Z Yu, S Liu, R Pautrat, X Yin, M Pollefeys Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Robust Incremental Structure-from-Motion with Hybrid Features S Liu, Y Gao, T Zhang, R Pautrat, JL Schönberger, V Larsson, M Pollefeys European Conference on Computer Vision, 249-269, 2024 | 1 | 2024 |
| Relative Pose Estimation through Affine Corrections of Monocular Depth Priors Y Yu, S Liu, R Pautrat, M Pollefeys, V Larsson arXiv preprint arXiv:2501.05446, 2025 | | 2025 |
| Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization S Dong, S Wang, S Liu, L Cai, Q Fan, J Kannala, Y Yang arXiv preprint arXiv:2412.08376, 2024 | | 2024 |
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Spatial AI Lab, MicrosoftVerified email at inf.ethz.ch