| Pairwise Decomposition of Image Sequences for Active Multi-view Recognition E Johns, S Leutenegger, AJ Davison Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 201 | 2016 |
| End-to-end Multi-task Learning with Attention S Liu, E Johns, AJ Davison Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 184 | 2019 |
| Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty E Johns, S Leutenegger, AJ Davison International Conference on Intelligent Robots and Systems (IROS), 2016 | 182 | 2016 |
| Transferring End-to-end Visuomotor Control from Simulation to Real World for a Multi-stage Task S James, AJ Davison, E Johns Conference on Robot Learning (CoRL), 2017 | 175 | 2017 |
| PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors V Balntas, E Johns, L Tang, K Mikolajczyk arXiv preprint, 2016 | 138 | 2016 |
| Feature Co-occurrence Maps: Appearance-based Localisation Throughout the Day E Johns, GZ Yang International Conference on Robotics and Automation (ICRA), 2013 | 111 | 2013 |
| An Intelligent Food-intake Monitoring System using Wearable Sensors J Liu, E Johns, L Atallah, C Pettitt, B Lo, G Frost, GZ Yang International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2012 | 100 | 2012 |
| 3D Simulation for Robot Arm Control with Deep Q-learning S James, E Johns NeurIPS Workshop on Deep Learning for Action and Interaction, 2016 | 62 | 2016 |
| Becoming the expert-interactive multi-class machine teaching E Johns, O Mac Aodha, GJ Brostow Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 56 | 2015 |
| Generative Methods for Long-term Place Recognition in Dynamic Scenes E Johns, GZ Yang International Journal of Computer Vision (IJCV), 2014 | 46 | 2014 |
| Self-supervised siamese learning on stereo image pairs for depth estimation in robotic surgery M Ye, E Johns, A Handa, L Zhang, P Pratt, GZ Yang Hamlyn Symposium on Medical Robotics 2017, 2017 | 43 | 2017 |
| From images to scenes: Compressing an image cluster into a single scene model for place recognition E Johns, GZ Yang International Conference on Computer Vision (ICCV), 2011 | 31 | 2011 |
| Self-supervised Generalisation with Meta Auxiliary Learning S Liu, AJ Davison, E Johns Conference on Neural Information Processing Systems (NeurIPS), 2019 | 30 | 2019 |
| Dynamic scene models for incremental, long-term, appearance-based localisation E Johns, GZ Yang International Conference on Robotics and Automation (ICRA), 2013 | 30 | 2013 |
| Application-oriented design space exploration for SLAM algorithms S Saeedi, L Nardi, E Johns, B Bodin, PHJ Kelly, AJ Davison International Conference on Robotics and Automation (ICRA), 2017 | 21 | 2017 |
| Online Scene Association for Endoscopic Navigation M Ye, E Johns, S Giannarou, GZ Yang International Conference on Medical Image Computing and Computer-Assisted …, 2014 | 15 | 2014 |
| Pairwise Probabilistic Voting: Fast Place Recognition without RANSAC ED Johns, GZ Yang European Conference on Computer Vision (ECCV), 2014 | 14 | 2014 |
| Sim-to-Real Transfer for Optical Tactile Sensing Z Ding, NF Lepora, E Johns International Conference on Robotics and Automation (ICRA), 2020 | 12 | 2020 |
| RANSAC with 2D geometric cliques for image retrieval and place recognition E Johns, GZ Yang CVPR 2015 Workshop on Visual Place Recognition in Changing Environments, 2015 | 12 | 2015 |
| Global localization in a dense continuous topological map E Johns, GZ Yang International Conference on Robotics and Automation (ICRA), 2011 | 12 | 2011 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonVerified email at doc.ic.ac.uk
