| Learning a multi-view stereo machine A Kar, C Häne, J Malik Advances in neural information processing systems 30, 2017 | 614 | 2017 |
| Hierarchical surface prediction for 3d object reconstruction C Häne, S Tulsiani, J Malik International Conference on 3D Vision (3DV), 2017 | 365 | 2017 |
| Hitnet: Hierarchical iterative tile refinement network for real-time stereo matching V Tankovich, C Hane, Y Zhang, A Kowdle, S Fanello, S Bouaziz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 298 | 2021 |
| Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning W Kuo, C Hӓne, P Mukherjee, J Malik, EL Yuh Proceedings of the National Academy of Sciences 116 (45), 22737-22745, 2019 | 285 | 2019 |
| Joint 3D scene reconstruction and class segmentation C Hane, C Zach, A Cohen, R Angst, M Pollefeys Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 284 | 2013 |
| 3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection C Häne, L Heng, GH Lee, F Fraundorfer, P Furgale, T Sattler, M Pollefeys Image and Vision Computing 68, 14-27, 2017 | 264 | 2017 |
| Toward automated driving in cities using close-to-market sensors: An overview of the v-charge project P Furgale, U Schwesinger, M Rufli, W Derendarz, H Grimmett, ... 2013 IEEE Intelligent Vehicles Symposium (IV), 809-816, 2013 | 173 | 2013 |
| Total relighting: learning to relight portraits for background replacement. R Pandey, S Orts-Escolano, C Legendre, C Haene, S Bouaziz, ... ACM Trans. Graph. 40 (4), 43:1-43:21, 2021 | 155 | 2021 |
| 3D modeling on the go: Interactive 3D reconstruction of large-scale scenes on mobile devices T Schöps, T Sattler, C Häne, M Pollefeys 2015 International Conference on 3D Vision, 291-299, 2015 | 131 | 2015 |
| Cost-sensitive active learning for intracranial hemorrhage detection W Kuo, C Häne, E Yuh, P Mukherjee, J Malik Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 126 | 2018 |
| Deep reflectance fields: high-quality facial reflectance field inference from color gradient illumination A Meka, C Haene, R Pandey, M Zollhöfer, S Fanello, G Fyffe, A Kowdle, ... ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 117 | 2019 |
| Real-time direct dense matching on fisheye images using plane-sweeping stereo C Häne, L Heng, GH Lee, A Sizov, M Pollefeys 2014 2nd International Conference on 3D Vision 1, 57-64, 2014 | 117 | 2014 |
| Obstacle detection for self-driving cars using only monocular cameras and wheel odometry C Häne, T Sattler, M Pollefeys 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 114 | 2015 |
| Automated valet parking and charging for e-mobility U Schwesinger, M Bürki, J Timpner, S Rottmann, L Wolf, LM Paz, ... 2016 IEEE Intelligent Vehicles Symposium (IV), 157-164, 2016 | 95 | 2016 |
| Dense semantic 3d reconstruction C Häne, C Zach, A Cohen, M Pollefeys IEEE transactions on pattern analysis and machine intelligence 39 (9), 1730-1743, 2016 | 91 | 2016 |
| Large-scale outdoor 3D reconstruction on a mobile device T Schöps, T Sattler, C Häne, M Pollefeys Computer Vision and Image Understanding 157, 151-166, 2017 | 87 | 2017 |
| Large-scale 3d shape reconstruction and segmentation from shapenet core55 L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ... arXiv preprint arXiv:1710.06104, 2017 | 75 | 2017 |
| Discrete optimization of ray potentials for semantic 3D reconstruction N Savinov, L Ladicky, C Hane, M Pollefeys Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on …, 2015 | 73 | 2015 |
| Semantic 3d reconstruction with continuous regularization and ray potentials using a visibility consistency constraint N Savinov, C Hane, L Ladicky, M Pollefeys Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 65 | 2016 |
| Class specific 3d object shape priors using surface normals C Hane, N Savinov, M Pollefeys Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 62 | 2014 |
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Spatial AI Lab, MicrosoftZweryfikowany adres z inf.ethz.ch