| BRISK: Binary robust invariant scalable keypoints S Leutenegger, M Chli, RY Siegwart 2011 International conference on computer vision, 2548-2555, 2011 | 3494 | 2011 |
| Keyframe-based visual–inertial odometry using nonlinear optimization S Leutenegger, S Lynen, M Bosse, R Siegwart, P Furgale The International Journal of Robotics Research 34 (3), 314-334, 2015 | 1044 | 2015 |
| ElasticFusion: Dense SLAM Without A Pose Graph T Whelan, S Leutenegger, RF Salas-Moreno, B Glocker, AJ Davison Robotics: Science and Systems, 2015 | 475 | 2015 |
| ElasticFusion: Real-time dense SLAM and light source estimation T Whelan, RF Salas-Moreno, B Glocker, AJ Davison, S Leutenegger The International Journal of Robotics Research 35 (14), 1697-1716, 2016 | 329 | 2016 |
| Semanticfusion: Dense 3d semantic mapping with convolutional neural networks J McCormac, A Handa, A Davison, S Leutenegger 2017 IEEE International Conference on Robotics and automation (ICRA), 4628-4635, 2017 | 276 | 2017 |
| A synchronized visual-inertial sensor system with FPGA pre-processing for accurate real-time SLAM J Nikolic, J Rehder, M Burri, P Gohl, S Leutenegger, PT Furgale, ... 2014 IEEE international conference on robotics and automation (ICRA), 431-437, 2014 | 229 | 2014 |
| SceneNet RGB-D: Can 5M synthetic images beat generic ImageNet pre-training on indoor segmentation? J McCormac, A Handa, S Leutenegger, AJ Davison Proceedings of the IEEE International Conference on Computer Vision, 2678-2687, 2017 | 199* | 2017 |
| State estimation for legged robots-consistent fusion of leg kinematics and IMU M Bloesch, M Hutter, MA Hoepflinger, S Leutenegger, C Gehring, ... Robotics 17, 17-24, 2013 | 180 | 2013 |
| Real-time 3D reconstruction and 6-DoF tracking with an event camera H Kim, S Leutenegger, AJ Davison European Conference on Computer Vision, 349-364, 2016 | 176 | 2016 |
| Pairwise decomposition of image sequences for active multi-view recognition E Johns, S Leutenegger, AJ Davison Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 169 | 2016 |
| Deep learning a grasp function for grasping under gripper pose uncertainty E Johns, S Leutenegger, AJ Davison Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016 | 162 | 2016 |
| A UAV system for inspection of industrial facilities J Nikolic, M Burri, J Rehder, S Leutenegger, C Huerzeler, R Siegwart 2013 IEEE Aerospace Conference, 1-8, 2013 | 147 | 2013 |
| Simultaneous optical flow and intensity estimation from an event camera P Bardow, AJ Davison, S Leutenegger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 129 | 2016 |
| Event-based vision: A survey G Gallego, T Delbruck, G Orchard, C Bartolozzi, B Taba, A Censi, ... arXiv preprint arXiv:1904.08405, 2019 | 123 | 2019 |
| CodeSLAM—learning a compact, optimisable representation for dense visual SLAM M Bloesch, J Czarnowski, R Clark, S Leutenegger, AJ Davison Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 119 | 2018 |
| The SHERPA project: Smart collaboration between humans and ground-aerial robots for improving rescuing activities in alpine environments L Marconi, C Melchiorri, M Beetz, D Pangercic, R Siegwart, ... 2012 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2012 | 114 | 2012 |
| Flagella-like propulsion for microrobots using a nanocoil and a rotating electromagnetic field DJ Bell, S Leutenegger, KM Hammar, LX Dong, BJ Nelson Proceedings 2007 IEEE international conference on robotics and automation …, 2007 | 104 | 2007 |
| Fusion++: Volumetric object-level slam J McCormac, R Clark, M Bloesch, A Davison, S Leutenegger 2018 international conference on 3D vision (3DV), 32-41, 2018 | 77 | 2018 |
| InteriorNet: Mega-scale multi-sensor photo-realistic indoor scenes dataset W Li, S Saeedi, J McCormac, R Clark, D Tzoumanikas, Q Ye, Y Huang, ... arXiv preprint arXiv:1809.00716, 2018 | 68 | 2018 |
| Modeling and control of a ballbot P Fankhauser, C Gwerder Eidgenössische Technische Hochschule Zürich, 2010 | 60* | 2010 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonVerified email at doc.ic.ac.uk
