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Edward Johns
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2020 – today
- 2024
- [j8]Norman Di Palo, Edward Johns:
On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation. IEEE Robotics Autom. Lett. 9(3): 2032-2039 (2024) - [i42]Norman Di Palo, Edward Johns:
DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models. CoRR abs/2402.13181 (2024) - [i41]Norman Di Palo, Edward Johns:
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics. CoRR abs/2403.19578 (2024) - 2023
- [j7]Ivan Kapelyukh, Vitalis Vosylius, Edward Johns:
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics. IEEE Robotics Autom. Lett. 8(7): 3956-3963 (2023) - [c37]Pietro Vitiello, Kamil Dreczkowski, Edward Johns:
One-Shot Imitation Learning: A Pose Estimation Perspective. CoRL 2023: 943-970 - [c36]Vitalis Vosylius, Edward Johns:
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment. CoRL 2023: 3194-3213 - [c35]Fabian Hauf, Basaran Bahadir Kocer, Alan Slatter, Hai-Nguyen Nguyen, Oscar Pang, Ronald Clark, Edward Johns, Mirko Kovac:
Learning Tethered Perching for Aerial Robots. ICRA 2023: 1298-1304 - [i40]Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar:
Prismer: A Vision-Language Model with An Ensemble of Experts. CoRR abs/2303.02506 (2023) - [i39]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.:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR abs/2310.08864 (2023) - [i38]Teyun Kwon, Norman Di Palo, Edward Johns:
Language Models as Zero-Shot Trajectory Generators. CoRR abs/2310.11604 (2023) - [i37]Pietro Vitiello, Kamil Dreczkowski, Edward Johns:
One-Shot Imitation Learning: A Pose Estimation Perspective. CoRR abs/2310.12077 (2023) - [i36]Vitalis Vosylius, Edward Johns:
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment. CoRR abs/2310.12238 (2023) - [i35]Ivan Kapelyukh, Edward Johns:
SceneScore: Learning a Cost Function for Object Arrangement. CoRR abs/2311.08530 (2023) - [i34]Ivan Kapelyukh, Yifei Ren, Ignacio Alzugaray, Edward Johns:
Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models. CoRR abs/2312.04533 (2023) - [i33]Norman Di Palo, Edward Johns:
On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation. CoRR abs/2312.12345 (2023) - 2022
- [j6]Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng:
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8097-8109 (2022) - [j5]Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns:
Auto-Lambda: Disentangling Dynamic Task Relationships. Trans. Mach. Learn. Res. 2022 (2022) - [c34]Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison:
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter. CoRL 2022: 118-127 - [c33]Vitalis Vosylius, Edward Johns:
Where To Start? Transferring Simple Skills to Complex Environments. CoRL 2022: 471-481 - [c32]Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison:
Bootstrapping Semantic Segmentation with Regional Contrast. ICLR 2022 - [c31]Eugene Valassakis, Georgios Papagiannis, Norman Di Palo, Edward Johns:
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning. IROS 2022: 8614-8621 - [i32]Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns:
Auto-Lambda: Disentangling Dynamic Task Relationships. CoRR abs/2202.03091 (2022) - [i31]Eugene Valassakis, Georgios Papagiannis, Norman Di Palo, Edward Johns:
Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning. CoRR abs/2204.02863 (2022) - [i30]Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng:
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. CoRR abs/2208.11658 (2022) - [i29]Ivan Kapelyukh, Vitalis Vosylius, Edward Johns:
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics. CoRR abs/2210.02438 (2022) - [i28]Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison:
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter. CoRR abs/2210.17325 (2022) - [i27]Vitalis Vosylius, Edward Johns:
Where To Start? Transferring Simple Skills to Complex Environments. CoRR abs/2212.06111 (2022) - 2021
- [j4]Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang:
DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration. IEEE Robotics Autom. Lett. 6(2): 3168-3175 (2021) - [c30]Ivan Kapelyukh, Edward Johns:
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks. CoRL 2021: 740-749 - [c29]Norman Di Palo, Edward Johns:
Learning Multi-Stage Tasks with One Demonstration via Self-Replay. CoRL 2021: 1180-1189 - [c28]Eugene Valassakis, Kamil Dreczkowski, Edward Johns:
Learning Eye-in-Hand Camera Calibration from a Single Image. CoRL 2021: 1336-1346 - [c27]Edward Johns:
Back to Reality for Imitation Learning. CoRL 2021: 1764-1768 - [c26]Edward Johns:
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration. ICRA 2021: 4613-4619 - [c25]Raghad Alghonaim, Edward Johns:
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer. ICRA 2021: 12802-12808 - [c24]Eugene Valassakis, Norman Di Palo, Edward Johns:
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces. IROS 2021: 5989-5996 - [c23]Kamil Dreczkowski, Edward Johns:
Hybrid ICP. IROS 2021: 6801-6808 - [i26]Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang:
DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration. CoRR abs/2102.11003 (2021) - [i25]Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison:
Bootstrapping Semantic Segmentation with Regional Contrast. CoRR abs/2104.04465 (2021) - [i24]Edward Johns:
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration. CoRR abs/2105.06411 (2021) - [i23]Eugene Valassakis, Norman Di Palo, Edward Johns:
Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace. CoRR abs/2105.11283 (2021) - [i22]Kamil Dreczkowski, Edward Johns:
Hybrid ICP. CoRR abs/2109.07559 (2021) - [i21]Eugene Valassakis, Kamil Dreczkowski, Edward Johns:
Learning Eye-in-Hand Camera Calibration from a Single Image. CoRR abs/2111.01245 (2021) - [i20]Ivan Kapelyukh, Edward Johns:
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks. CoRR abs/2111.03112 (2021) - [i19]Norman Di Palo, Edward Johns:
Learning Multi-Stage Tasks with One Demonstration via Self-Replay. CoRR abs/2111.07447 (2021) - [i18]Edward Johns:
Back to Reality for Imitation Learning. CoRR abs/2111.12867 (2021) - 2020
- [j3]Ya-Yen Tsai, Bo Xiao, Edward Johns, Guang-Zhong Yang:
Constrained-Space Optimization and Reinforcement Learning for Complex Tasks. IEEE Robotics Autom. Lett. 5(2): 682-689 (2020) - [c22]Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns:
Shape Adaptor: A Learnable Resizing Module. ECCV (12) 2020: 661-677 - [c21]Zihan Ding, Nathan F. Lepora, Edward Johns:
Sim-to-Real Transfer for Optical Tactile Sensing. ICRA 2020: 1639-1645 - [c20]Eugene Valassakis, Zihan Ding, Edward Johns:
Crossing the Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. IROS 2020: 5372-5379 - [c19]Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim:
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. IROS 2020: 9561-9568 - [i17]Zihan Ding, Nathan F. Lepora, Edward Johns:
Sim-to-Real Transfer for Optical Tactile Sensing. CoRR abs/2004.00136 (2020) - [i16]Ya-Yen Tsai, Bo Xiao, Edward Johns, Guang-Zhong Yang:
Constrained-Space Optimization and Reinforcement Learning for Complex Tasks. CoRR abs/2004.00716 (2020) - [i15]Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns:
Shape Adaptor: A Learnable Resizing Module. CoRR abs/2008.00892 (2020) - [i14]Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim:
Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. CoRR abs/2008.03285 (2020) - [i13]Eugene Valassakis, Zihan Ding, Edward Johns:
Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. CoRR abs/2008.06686 (2020) - [i12]Raghad Alghonaim, Edward Johns:
Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer. CoRR abs/2011.07112 (2020) - [i11]Norman Di Palo, Edward Johns:
SAFARI: Safe and Active Robot Imitation Learning with Imagination. CoRR abs/2011.09586 (2020)
2010 – 2019
- 2019
- [c18]Shikun Liu, Edward Johns, Andrew J. Davison:
End-To-End Multi-Task Learning With Attention. CVPR 2019: 1871-1880 - [c17]Shikun Liu, Andrew J. Davison, Edward Johns:
Self-Supervised Generalisation with Meta Auxiliary Learning. NeurIPS 2019: 1677-1687 - [i10]Shikun Liu, Andrew J. Davison, Edward Johns:
Self-Supervised Generalisation with Meta Auxiliary Learning. CoRR abs/1901.08933 (2019) - 2018
- [i9]Shikun Liu, Edward Johns, Andrew J. Davison:
End-to-End Multi-Task Learning with Attention. CoRR abs/1803.10704 (2018) - 2017
- [j2]Menglong Ye, Edward Johns, Benjamin M. Walter, Alexander Meining, Guang-Zhong Yang:
An image retrieval framework for real-time endoscopic image retargeting. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1281-1292 (2017) - [c16]Stephen James, Andrew J. Davison, Edward Johns:
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. CoRL 2017: 334-343 - [c15]Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison:
Application-oriented design space exploration for SLAM algorithms. ICRA 2017: 5716-5723 - [i8]Menglong Ye, Edward Johns, Ankur Handa, Lin Zhang, Philip Pratt, Guang-Zhong Yang:
Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery. CoRR abs/1705.08260 (2017) - [i7]Stephen James, Andrew J. Davison, Edward Johns:
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. CoRR abs/1707.02267 (2017) - 2016
- [c14]Edward Johns, Stefan Leutenegger, Andrew J. Davison:
Pairwise Decomposition of Image Sequences for Active Multi-view Recognition. CVPR 2016: 3813-3822 - [c13]Edward Johns, Stefan Leutenegger, Andrew J. Davison:
Deep learning a grasp function for grasping under gripper pose uncertainty. IROS 2016: 4461-4468 - [c12]Menglong Ye, Edward Johns, Benjamin M. Walter, Alexander Meining, Guang-Zhong Yang:
Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy. MICCAI (1) 2016: 448-456 - [i6]Vassileios Balntas, Edward Johns, Lilian Tang, Krystian Mikolajczyk:
PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors. CoRR abs/1601.05030 (2016) - [i5]Menglong Ye, Edward Johns, Benjamin M. Walter, Alexander Meining, Guang-Zhong Yang:
Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy. CoRR abs/1605.05757 (2016) - [i4]Edward Johns, Stefan Leutenegger, Andrew J. Davison:
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition. CoRR abs/1605.08359 (2016) - [i3]Edward Johns, Stefan Leutenegger, Andrew J. Davison:
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty. CoRR abs/1608.02239 (2016) - [i2]Stephen James, Edward Johns:
3D Simulation for Robot Arm Control with Deep Q-Learning. CoRR abs/1609.03759 (2016) - 2015
- [c11]Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow:
Becoming the expert - interactive multi-class machine teaching. CVPR 2015: 2616-2624 - [i1]Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow:
Becoming the Expert - Interactive Multi-Class Machine Teaching. CoRR abs/1504.07575 (2015) - 2014
- [j1]Edward Johns, Guang-Zhong Yang:
Generative Methods for Long-Term Place Recognition in Dynamic Scenes. Int. J. Comput. Vis. 106(3): 297-314 (2014) - [c10]Edward David Johns, Guang-Zhong Yang:
Pairwise Probabilistic Voting: Fast Place Recognition without RANSAC. ECCV (2) 2014: 504-519 - [c9]Menglong Ye, Edward Johns, Stamatia Giannarou, Guang-Zhong Yang:
Online Scene Association for Endoscopic Navigation. MICCAI (2) 2014: 316-323 - 2013
- [c8]Edward Johns, Guang-Zhong Yang:
Dynamic scene models for incremental, long-term, appearance-based localisation. ICRA 2013: 2731-2736 - [c7]Edward Johns, Guang-Zhong Yang:
Feature Co-occurrence Maps: Appearance-based localisation throughout the day. ICRA 2013: 3212-3218 - 2012
- [c6]Jindong Liu, Edward Johns, Louis Atallah, Claire Pettitt, Benny Lo, Gary Frost, Guang-Zhong Yang:
An Intelligent Food-Intake Monitoring System Using Wearable Sensors. BSN 2012: 154-160 - 2011
- [c5]Edward Johns, Guang-Zhong Yang:
Place Recognition and Online Learning in Dynamic Scenes with Spatio-Temporal Landmarks. BMVC 2011: 1-12 - [c4]Edward Johns, Guang-Zhong Yang:
From images to scenes: Compressing an image cluster into a single scene model for place recognition. ICCV 2011: 874-881 - [c3]Edward Johns, Guang-Zhong Yang:
Global localization in a dense continuous topological map. ICRA 2011: 1032-1037 - [c2]Jindong Liu, Edward Johns, Guang-Zhong Yang:
A scene-associated training method for mobile robot speech recognition in multisource reverberated environments. IROS 2011: 542-549 - 2010
- [c1]Edward Johns, Guang-Zhong Yang:
Scene association for mobile robot navigation. IROS 2010: 4698-4703
Coauthor Index
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last updated on 2024-04-11 20:15 CEST by the dblp team
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