| Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters M Pollefeys, R Koch, LV Gool International Journal of Computer Vision 32 (1), 7-25, 1999 | 1618 | 1999 |
| Visual modeling with a hand-held camera M Pollefeys, L Van Gool, M Vergauwen, F Verbiest, K Cornelis, J Tops, ... International Journal of Computer Vision 59, 207-232, 2004 | 1317 | 2004 |
| Pixelwise view selection for unstructured multi-view stereo JL Schönberger, E Zheng, JM Frahm, M Pollefeys Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1191 | 2016 |
| Detailed real-time urban 3d reconstruction from video M Pollefeys, D Nistér, JM Frahm, A Akbarzadeh, P Mordohai, B Clipp, ... International Journal of Computer Vision 78, 143-167, 2008 | 952 | 2008 |
| A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate J Yan, M Pollefeys Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 647 | 2006 |
| A comparative analysis of RANSAC techniques leading to adaptive real-time random sample consensus R Raguram, JM Frahm, M Pollefeys Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 644 | 2008 |
| D2-net: A trainable cnn for joint description and detection of local features M Dusmanu, I Rocco, T Pajdla, M Pollefeys, J Sivic, A Torii, T Sattler Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019 | 623* | 2019 |
| Semantic3d. net: A new large-scale point cloud classification benchmark T Hackel, N Savinov, L Ladicky, JD Wegner, K Schindler, M Pollefeys arXiv preprint arXiv:1704.03847, 2017 | 601 | 2017 |
| PX4: A node-based multithreaded open source robotics framework for deeply embedded platforms L Meier, D Honegger, M Pollefeys 2015 IEEE international conference on robotics and automation (ICRA), 6235-6240, 2015 | 590 | 2015 |
| USAC: A universal framework for random sample consensus R Raguram, O Chum, M Pollefeys, J Matas, JM Frahm IEEE transactions on pattern analysis and machine intelligence 35 (8), 2022-2038, 2012 | 522 | 2012 |
| GPU-based video feature tracking and matching SN Sinha, JM Frahm, M Pollefeys, Y Genc EDGE, workshop on edge computing using new commodity architectures 278, 4321, 2006 | 504 | 2006 |
| Pulling things out of perspective L Ladicky, J Shi, M Pollefeys Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 500 | 2014 |
| City-scale landmark identification on mobile devices DM Chen, G Baatz, K Köser, SS Tsai, R Vedantham, T Pylvänäinen, ... CVPR 2011, 737-744, 2011 | 497 | 2011 |
| Pixhawk: A system for autonomous flight using onboard computer vision L Meier, P Tanskanen, F Fraundorfer, M Pollefeys 2011 IEEE International Conference on Robotics and Automation, 2992-2997, 2011 | 490 | 2011 |
| A multi-view stereo benchmark with high-resolution images and multi-camera videos T Schops, JL Schonberger, S Galliani, T Sattler, K Schindler, M Pollefeys, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 476 | 2017 |
| PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision L Meier, P Tanskanen, L Heng, GH Lee, F Fraundorfer, M Pollefeys Autonomous Robots 33, 21-39, 2012 | 452 | 2012 |
| Benchmarking 6dof outdoor visual localization in changing conditions T Sattler, W Maddern, C Toft, A Torii, L Hammarstrand, E Stenborg, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 449 | 2018 |
| Real-time visibility-based fusion of depth maps P Merrell, A Akbarzadeh, L Wang, P Mordohai, JM Frahm, R Yang, ... 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 420 | 2007 |
| Convolutional occupancy networks S Peng, M Niemeyer, L Mescheder, M Pollefeys, A Geiger Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 409 | 2020 |
| Self-calibration and metric 3D reconstruction from uncalibrated image sequences M Pollefeys PhD thesis, 1999 | 404 | 1999 |
Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KULÐ在 ethz.ch 的電子郵件地址已通過驗證
