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Edward Johns
Edward Johns
Reader (Associate Professor) in Robot Learning at Imperial College London
Dirección de correo verificada de imperial.ac.uk - Página principal
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Año
End-to-end Multi-task Learning with Attention
S Liu, E Johns, AJ Davison
Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019
11822019
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
3342017
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
3002016
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
2922016
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
OXE Collaboration, A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, ...
International Conference on Robotics and Automation (ICRA) 2024, 2024
276*2024
PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors
V Balntas, E Johns, L Tang, K Mikolajczyk
arXiv preprint, 2016
2202016
Self-supervised Generalisation with Meta Auxiliary Learning
S Liu, AJ Davison, E Johns
Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
1922019
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
1442012
Bootstrapping semantic segmentation with regional contrast
S Liu, S Zhi, E Johns, AJ Davison
International Conference on Learning Representations (ICLR 2022), 2021
1362021
Feature Co-occurrence Maps: Appearance-based Localisation Throughout the Day
E Johns, GZ Yang
International Conference on Robotics and Automation (ICRA 2013), 2013
1302013
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
1282017
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
1232016
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration
E Johns
International Conference on Robotics and Automation (ICRA 2021), 2021
1112021
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
I Kapelyukh, V Vosylius, E Johns
IEEE Robotics and Automation Letters (RA-L), 2023
1072023
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
892015
Auto-Lambda: Disentangling Dynamic Task Relationships
S Liu, S James, AJ Davison, E Johns
Transactions on Machine Learning Research (TMLR), 2022
622022
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
582020
Generative Methods for Long-term Place Recognition in Dynamic Scenes
E Johns, GZ Yang
International Journal of Computer Vision (IJCV), 2014
482014
Sim-to-Real Transfer for Optical Tactile Sensing
Z Ding, NF Lepora, E Johns
International Conference on Robotics and Automation (ICRA 2020), 2020
462020
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
44*2024
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