Edward Johns

According to our database, Edward Johns authored at least 57 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation.

Norman Di Palo, Edward Johns

IEEE Robotics Autom. Lett., 2024

Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics.

Norman Di Palo, Edward Johns

CoRR, 2024

DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models.

Norman Di Palo, Edward Johns

CoRR, 2024

2023

DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics.

Ivan Kapelyukh, Vitalis Vosylius, Edward Johns

IEEE Robotics Autom. Lett., July, 2023

Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models.

Ivan Kapelyukh, Yifei Ren, Ignacio Alzugaray, Edward Johns

CoRR, 2023

SceneScore: Learning a Cost Function for Object Arrangement.

Ivan Kapelyukh, Edward Johns

CoRR, 2023

Language Models as Zero-Shot Trajectory Generators.

Teyun Kwon, Norman Di Palo, Edward Johns

CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.

CoRR, 2023

Prismer: A Vision-Language Model with An Ensemble of Experts.

Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar

CoRR, 2023

Learning Tethered Perching for Aerial Robots.

Fabian Hauf, Basaran Bahadir Kocer, Alan Slatter, Hai-Nguyen Nguyen, Oscar Pang, Ronald Clark, Edward Johns, Mirko Kovac

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Few-Shot In-Context Imitation Learning via Implicit Graph Alignment.

Vitalis Vosylius, Edward Johns

Proceedings of the Conference on Robot Learning, 2023

One-Shot Imitation Learning: A Pose Estimation Perspective.

Pietro Vitiello, Kamil Dreczkowski, Edward Johns

Proceedings of the Conference on Robot Learning, 2023

2022

Auto-Lambda: Disentangling Dynamic Task Relationships.

Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns

Trans. Mach. Learn. Res., 2022

AGO-Net: Association-Guided 3D Point Cloud Object Detection Network.

Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning.

Eugene Valassakis, Georgios Papagiannis, Norman Di Palo, Edward Johns

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Bootstrapping Semantic Segmentation with Regional Contrast.

Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison

Proceedings of the Tenth International Conference on Learning Representations, 2022

Where To Start? Transferring Simple Skills to Complex Environments.

Vitalis Vosylius, Edward Johns

Proceedings of the Conference on Robot Learning, 2022

Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter.

Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison

Proceedings of the Conference on Robot Learning, 2022

2021

DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration.

Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang

IEEE Robotics Autom. Lett., 2021

Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace.

Eugene Valassakis, Norman Di Palo, Edward Johns

CoRR, 2021

Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces.

Eugene Valassakis, Norman Di Palo, Edward Johns

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Hybrid ICP.

Kamil Dreczkowski, Edward Johns

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration.

Edward Johns

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer.

Raghad Alghonaim, Edward Johns

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Eye-in-Hand Camera Calibration from a Single Image.

Eugene Valassakis, Kamil Dreczkowski, Edward Johns

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning Multi-Stage Tasks with One Demonstration via Self-Replay.

Norman Di Palo, Edward Johns

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

My House, My Rules: Learning Tidying Preferences with Graph Neural Networks.

Ivan Kapelyukh, Edward Johns

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Back to Reality for Imitation Learning.

Edward Johns

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Constrained-Space Optimization and Reinforcement Learning for Complex Tasks.

Ya-Yen Tsai, Bo Xiao, Edward Johns, Guang-Zhong Yang

IEEE Robotics Autom. Lett., 2020

SAFARI: Safe and Active Robot Imitation Learning with Imagination.

Norman Di Palo, Edward Johns

CoRR, 2020

Crossing the Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics.

Eugene Valassakis, Zihan Ding, Edward Johns

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning.

Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sim-to-Real Transfer for Optical Tactile Sensing.

Zihan Ding, Nathan F. Lepora, Edward Johns

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Shape Adaptor: A Learnable Resizing Module.

Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Self-Supervised Generalisation with Meta Auxiliary Learning.

Shikun Liu, Andrew J. Davison, Edward Johns

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

End-To-End Multi-Task Learning With Attention.

Shikun Liu, Edward Johns, Andrew J. Davison

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery.

Menglong Ye, Edward Johns, Ankur Handa, Lin Zhang, Philip Pratt, Guang-Zhong Yang

CoRR, 2017

An image retrieval framework for real-time endoscopic image retargeting.

Menglong Ye, Edward Johns, Benjamin M. Walter, Alexander Meining, Guang-Zhong Yang

Int. J. Comput. Assist. Radiol. Surg., 2017

Application-oriented design space exploration for SLAM algorithms.

Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task.

Stephen James, Andrew J. Davison, Edward Johns

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

3D Simulation for Robot Arm Control with Deep Q-Learning.

Stephen James, Edward Johns

CoRR, 2016

PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors.

Vassileios Balntas, Edward Johns, Lilian Tang, Krystian Mikolajczyk

CoRR, 2016

Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy.

Menglong Ye, Edward Johns, Benjamin M. Walter, Alexander Meining, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep learning a grasp function for grasping under gripper pose uncertainty.

Edward Johns, Stefan Leutenegger, Andrew J. Davison

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Pairwise Decomposition of Image Sequences for Active Multi-view Recognition.

Edward Johns, Stefan Leutenegger, Andrew J. Davison

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Becoming the expert - interactive multi-class machine teaching.

Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Generative Methods for Long-Term Place Recognition in Dynamic Scenes.

Edward Johns, Guang-Zhong Yang

Int. J. Comput. Vis., 2014

Online Scene Association for Endoscopic Navigation.

Menglong Ye, Edward Johns, Stamatia Giannarou, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Pairwise Probabilistic Voting: Fast Place Recognition without RANSAC.

Edward David Johns, Guang-Zhong Yang

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Feature Co-occurrence Maps: Appearance-based localisation throughout the day.

Edward Johns, Guang-Zhong Yang

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Dynamic scene models for incremental, long-term, appearance-based localisation.

Edward Johns, Guang-Zhong Yang

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

An Intelligent Food-Intake Monitoring System Using Wearable Sensors.

Jindong Liu, Edward Johns, Louis Atallah, Claire Pettitt, Benny Lo, Gary Frost, Guang-Zhong Yang

Proceedings of the 2012 Ninth International Conference on Wearable and Implantable Body Sensor Networks, 2012

2011

A scene-associated training method for mobile robot speech recognition in multisource reverberated environments.

Jindong Liu, Edward Johns, Guang-Zhong Yang

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Global localization in a dense continuous topological map.

Edward Johns, Guang-Zhong Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

From images to scenes: Compressing an image cluster into a single scene model for place recognition.

Edward Johns, Guang-Zhong Yang

Proceedings of the IEEE International Conference on Computer Vision, 2011

Place Recognition and Online Learning in Dynamic Scenes with Spatio-Temporal Landmarks.

Edward Johns, Guang-Zhong Yang

Proceedings of the British Machine Vision Conference, 2011

2010

Scene association for mobile robot navigation.

Edward Johns, Guang-Zhong Yang

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010