| 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 | 154 | 2016 |
| 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 | 144 | 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), 2017 | 128 | 2017 |
| PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors V Balntas, E Johns, L Tang, K Mikolajczyk arXiv preprint, 2016 | 102 | 2016 |
| Feature Co-occurrence Maps: Appearance-based Localisation Throughout the Day E Johns, GZ Yang International Conference on Robotics and Automation (ICRA 2013), 2013 | 99 | 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 …, 2012 | 80 | 2012 |
| End-to-end multi-task learning with attention S Liu, E Johns, AJ Davison Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019 | 51 | 2019 |
| 3D Simulation for Robot Arm Control with Deep Q-learning S James, E Johns Workshop on Deep Learning for Action and Interaction (NIPS 2016), 2016 | 42 | 2016 |
| Generative Methods for Long-term Place Recognition in Dynamic Scenes E Johns, GZ Yang International Journal of Computer Vision (IJCV), 2014 | 40 | 2014 |
| Becoming the expert-interactive multi-class machine teaching E Johns, O Mac Aodha, GJ Brostow Conference on Computer Vision and Pattern Recognition (CVPR 2015), 2015 | 37 | 2015 |
| Dynamic scene models for incremental, long-term, appearance-based localisation E Johns, GZ Yang International Conference on Robotics and Automation (ICRA 2013), 2013 | 28 | 2013 |
| 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), 2011 | 24 | 2011 |
| 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 2017, 2017 | 22 | 2017 |
| 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), 2017 | 13 | 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 | 13 | 2014 |
| Pairwise Probabilistic Voting: Fast Place Recognition without RANSAC ED Johns, GZ Yang European Conference on Computer Vision (ECCV 2014), 2014 | 13 | 2014 |
| Global localization in a dense continuous topological map E Johns, GZ Yang International Conference on Robotics and Automation (ICRA 2011), 2011 | 13 | 2011 |
| Self-supervised Generalisation with Meta Auxiliary Learning S Liu, AJ Davison, E Johns Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 10 | 2019 |
| 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 | 8 | 2015 |
| An image retrieval framework for real-time endoscopic image retargeting M Ye, E Johns, B Walter, A Meining, GZ Yang International Journal of Computer Assisted Radiology and Surgery 12 (8 …, 2017 | 6 | 2017 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonVerified email at doc.ic.ac.uk
