| End-to-end Multi-task Learning with Attention S Liu, E Johns, AJ Davison Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019 | 1116 | 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 | 327 | 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 | 293 | 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 | 288 | 2016 |
| PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors V Balntas, E Johns, L Tang, K Mikolajczyk arXiv preprint, 2016 | 217 | 2016 |
| Self-supervised Generalisation with Meta Auxiliary Learning S Liu, AJ Davison, E Johns Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 178 | 2019 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... International Conference on Robotics and Automation (ICRA), 2024, 2023 | 154 | 2023 |
| 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 | 143 | 2012 |
| Feature Co-occurrence Maps: Appearance-based Localisation Throughout the Day E Johns, GZ Yang International Conference on Robotics and Automation (ICRA 2013), 2013 | 130 | 2013 |
| 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 | 125 | 2017 |
| Bootstrapping semantic segmentation with regional contrast S Liu, S Zhi, E Johns, AJ Davison International Conference on Learning Representations (ICLR 2022), 2021 | 122 | 2021 |
| 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 | 120 | 2016 |
| Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration E Johns International Conference on Robotics and Automation (ICRA 2021), 2021 | 99 | 2021 |
| DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics I Kapelyukh, V Vosylius, E Johns IEEE Robotics and Automation Letters (RA-L), 2023 | 94 | 2023 |
| 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 | 88 | 2015 |
| Auto-Lambda: Disentangling Dynamic Task Relationships S Liu, S James, AJ Davison, E Johns Transactions on Machine Learning Research (TMLR), 2022 | 54 | 2022 |
| 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 | 54 | 2020 |
| Generative Methods for Long-term Place Recognition in Dynamic Scenes E Johns, GZ Yang International Journal of Computer Vision (IJCV), 2014 | 48 | 2014 |
| Sim-to-Real Transfer for Optical Tactile Sensing Z Ding, NF Lepora, E Johns International Conference on Robotics and Automation (ICRA 2020), 2020 | 44 | 2020 |
| Prismer: A Vision-Language Model with Multi-Task Experts S Liu, L Fan, E Johns, Z Yu, C Xiao, A Anandkumar Transactions on Machine Learning Research (TMLR), 2024 | 41* | 2024 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College London在 doc.ic.ac.uk 的电子邮件经过验证
