| BRISK: Binary robust invariant scalable keypoints S Leutenegger, M Chli, RY Siegwart 2011 International conference on computer vision, 2548-2555, 2011 | 5244 | 2011 |
| Event-based vision: A survey G Gallego, T Delbruck, G Orchard, C Bartolozzi, B Taba, A Censi, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 154-180, 2022 | 2171 | 2022 |
| 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 | 2120 | 2015 |
| ElasticFusion: Dense SLAM Without A Pose Graph T Whelan, S Leutenegger, RF Salas-Moreno, B Glocker, AJ Davison Robotics: Science and Systems, 2015 | 1008 | 2015 |
| 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 | 790 | 2017 |
| 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 | 786 | 2016 |
| Real-time 3D reconstruction and 6-DoF tracking with an event camera H Kim, S Leutenegger, AJ Davison Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 531 | 2016 |
| 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 | 505* | 2017 |
| In-place scene labelling and understanding with implicit scene representation S Zhi, T Laidlow, S Leutenegger, AJ Davison Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 483 | 2021 |
| 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 | 450 | 2018 |
| State estimation for legged robots: Consistent fusion of leg kinematics and IMU M Bloesch, M Hutter, MA Hoepflinger, S Leutenegger, C Gehring, ... | 406 | 2013 |
| Keyframe-based visual-inertial slam using nonlinear optimization S Leutenegger, P Furgale, V Rabaud, M Chli, K Konolige, R Siegwart Proceedings of Robotis Science and Systems (RSS) 2013, 2013 | 389 | 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 | 361 | 2016 |
| 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 | 347 | 2018 |
| 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 | 329 | 2014 |
| 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 | 306 | 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 | 301 | 2013 |
| 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 | 300 | 2016 |
| Interiornet: Mega-scale multi-sensor photo-realistic indoor scenes dataset W Li, S Saeedi, J McCormac, R Clark, D Tzoumanikas, Q Ye, Y Huang, ... British Machine Vision Conference (BMVC), 2018 | 251 | 2018 |
| Mid-fusion: Octree-based object-level multi-instance dynamic slam B Xu, W Li, D Tzoumanikas, M Bloesch, A Davison, S Leutenegger 2019 International Conference on Robotics and Automation (ICRA), 5231-5237, 2019 | 225 | 2019 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonZweryfikowany adres z doc.ic.ac.uk