| So-net: Self-organizing network for point cloud analysis J Li, BM Chen, GH Lee Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 780 | 2018 |
| 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 | 454 | 2012 |
| Vision-based autonomous mapping and exploration using a quadrotor MAV F Fraundorfer, L Heng, D Honegger, GH Lee, L Meier, P Tanskanen, ... 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 392 | 2012 |
| Vision-controlled micro flying robots: from system design to autonomous navigation and mapping in GPS-denied environments D Scaramuzza, MC Achtelik, L Doitsidis, F Friedrich, E Kosmatopoulos, ... IEEE Robotics & Automation Magazine 21 (3), 26-40, 2014 | 356 | 2014 |
| PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition MA Uy, GH Lee Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 320 | 2018 |
| 3dfeat-net: Weakly supervised local 3d features for point cloud registration ZJ Yew, GH Lee Proceedings of the European conference on computer vision (ECCV), 607-623, 2018 | 244 | 2018 |
| Convolutional sequence to sequence model for human dynamics C Li, Z Zhang, WS Lee, GH Lee Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 211 | 2018 |
| Rpm-net: Robust point matching using learned features ZJ Yew, GH Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 207 | 2020 |
| Motion Estimation for Self-Driving Cars With a Generalized Camera GH Lee, F Fraundorfer, M Pollefeys Computer Vision and Pattern Recognition, 2013 | 186* | 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 | 170 | 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 | 157 | 2013 |
| Cascaded refinement network for point cloud completion X Wang, MH Ang Jr, GH Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 151 | 2020 |
| CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization S Hu, M Feng, MHR Nguyen, GH Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 151 | 2018 |
| Generating multiple hypotheses for 3d human pose estimation with mixture density network C Li, GH Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 132 | 2019 |
| Autonomous visual mapping and exploration with a micro aerial vehicle L Heng, D Honegger, GH Lee, L Meier, P Tanskanen, F Fraundorfer, ... Journal of Field Robotics 31 (4), 654-675, 2014 | 112 | 2014 |
| Weakly supervised semantic point cloud segmentation: Towards 10x fewer labels X Xu, GH Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 110 | 2020 |
| Robust pose-graph loop-closures with expectation-maximization GH Lee, F Fraundorfer, M Pollefeys 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 103 | 2013 |
| 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 | 101 | 2014 |
| Usip: Unsupervised stable interest point detection from 3d point clouds J Li, GH Lee Proceedings of the IEEE/CVF international conference on computer vision, 361-370, 2019 | 97 | 2019 |
| Self-calibration and visual slam with a multi-camera system on a micro aerial vehicle L Heng, GH Lee, M Pollefeys Autonomous robots 39, 259-277, 2015 | 93 | 2015 |
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Mixed Reality and AI Lab Zurich, Microsoft在 inf.ethz.ch 的电子邮件经过验证
