| End-to-end Multi-task Learning with Attention S Liu, E Johns, AJ Davison Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019 | 686 | 2019 |
| 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 | 280 | 2017 |
| 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), 2016 | 269 | 2016 |
| 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), 2016 | 253 | 2016 |
| PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors V Balntas, E Johns, L Tang, K Mikolajczyk arXiv preprint, 2016 | 195 | 2016 |
| 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 | 134 | 2012 |
| Feature Co-occurrence Maps: Appearance-based Localisation Throughout the Day E Johns, GZ Yang International Conference on Robotics and Automation (ICRA 2013), 2013 | 126 | 2013 |
| Self-supervised Generalisation with Meta Auxiliary Learning S Liu, AJ Davison, E Johns Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 123 | 2019 |
| 3D Simulation for Robot Arm Control with Deep Q-learning S James, E Johns Workshop on Deep Learning for Action and Interaction (at NeurIPS 2016), 2016 | 104 | 2016 |
| 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 | 91 | 2017 |
| 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 | 76 | 2015 |
| Bootstrapping semantic segmentation with regional contrast S Liu, S Zhi, E Johns, AJ Davison International Conference on Learning Representations (ICLR 2022), 2021 | 50 | 2021 |
| Generative Methods for Long-term Place Recognition in Dynamic Scenes E Johns, GZ Yang International Journal of Computer Vision (IJCV), 2014 | 48 | 2014 |
| Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration E Johns International Conference on Robotics and Automation (ICRA 2021), 2021 | 46 | 2021 |
| 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 | 36 | 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), 2011 | 35 | 2011 |
| Sim-to-Real Transfer for Optical Tactile Sensing Z Ding, NF Lepora, E Johns International Conference on Robotics and Automation (ICRA 2020), 2020 | 34 | 2020 |
| Dynamic scene models for incremental, long-term, appearance-based localisation E Johns, GZ Yang International Conference on Robotics and Automation (ICRA 2013), 2013 | 31 | 2013 |
| Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics E Valassakis, Z Ding, E Johns International Conference on Intelligent Robots and Systems (IROS 2020), 2020 | 30 | 2020 |
| Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning G Garcia-Hernando, E Johns, TK Kim International Conference on Intelligent Robots and Systems (IROS 2020), 2020 | 23 | 2020 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonVerified email at doc.ic.ac.uk
