Edward Johns - RankMe

108 papers A* 20A 10C 1Misc 10Journal 63Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ZeroBot: Learning From Scratch in Minutes With Generative Real2Sim. IEEE Robotics Autom. Lett. Ivan Kapelyukh, Xiaohan Zhang, Stephen James, Laura Herlant, Edward Johns
2025	A*	`conf`	Instant Policy: In-Context Imitation Learning via Graph Diffusion. ICLR Vitalis Vosylius, Edward Johns
2025	J	`jnl`	Learning a Thousand Tasks in a Day. CoRR Kamil Dreczkowski, Pietro Vitiello, Vitalis Vosylius, Edward Johns
2025	J	`jnl`	Learning a thousand tasks in a day. Sci. Robotics Kamil Dreczkowski, Pietro Vitiello, Vitalis Vosylius, Edward Johns
2025	J	`jnl`	Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen). CoRR Yifei Ren, Edward Johns
2025	J	`jnl`	Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions. CoRR Naoki Kiyohara, Edward Johns, Yingzhen Li
2025	J	`jnl`	Observer Actor: Active Vision Imitation Learning with Sparse View Gaussian Splatting. CoRR Yilong Wang, Cheng Qian, Ruomeng Fan, Edward Johns
2025	A*	`conf`	One-Shot Dual-Arm Imitation Learning. ICRA Yilong Wang, Edward Johns
2025	J	`jnl`	One-Shot Dual-Arm Imitation Learning. CoRR Yilong Wang, Edward Johns
2025	A*	`conf`	R+X: Retrieval and Execution from Everyday Human Videos. ICRA Georgios Papagiannis, Norman Di Palo, Pietro Vitiello, Edward Johns
2024	A	`conf`	Adapting Skills to Novel Grasps: A Self-Supervised Approach. IROS Georgios Papagiannis, Kamil Dreczkowski, Vitalis Vosylius, Edward Johns
2024	J	`jnl`	Adapting Skills to Novel Grasps: A Self-Supervised Approach. CoRR Georgios Papagiannis, Kamil Dreczkowski, Vitalis Vosylius, Edward Johns
2024	A*	`conf`	DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models. ICRA Norman Di Palo, Edward Johns
2024	J	`jnl`	DINOBot: Robot Manipulation via Retrieval and Alignment with Vision Foundation Models. CoRR Norman Di Palo, Edward Johns
2024	A*	`conf`	Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models. ICRA Ivan Kapelyukh, Yifei Ren, Ignacio Alzugaray, Edward Johns
2024	J	`jnl`	Instant Policy: In-Context Imitation Learning via Graph Diffusion. CoRR Vitalis Vosylius, Edward Johns
2024	—	`conf`	Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics. Robotics: Science and Systems Norman Di Palo, Edward Johns
2024	J	`jnl`	Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics. CoRR Norman Di Palo, Edward Johns
2024	J	`jnl`	Language Models as Zero-Shot Trajectory Generators. IEEE Robotics Autom. Lett. Teyun Kwon, Norman Di Palo, Edward Johns
2024	Misc	`conf`	MILES: Making Imitation Learning Easy with Self-Supervision. CoRL Georgios Papagiannis, Edward Johns
2024	J	`jnl`	MILES: Making Imitation Learning Easy with Self-Supervision. CoRR Georgios Papagiannis, Edward Johns
2024	J	`jnl`	On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation. IEEE Robotics Autom. Lett. Norman Di Palo, Edward Johns
2024	A*	`conf`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin
2024	J	`jnl`	Prismer: A Vision-Language Model with Multi-Task Experts. Trans. Mach. Learn. Res. Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
2024	J	`jnl`	R+X: Retrieval and Execution from Everyday Human Videos. CoRR Georgios Papagiannis, Norman Di Palo, Pietro Vitiello, Edward Johns
2023	J	`jnl`	DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics. IEEE Robotics Autom. Lett. Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
2023	J	`jnl`	Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models. CoRR Ivan Kapelyukh, Yifei Ren, Ignacio Alzugaray, Edward Johns
2023	Misc	`conf`	Few-Shot In-Context Imitation Learning via Implicit Graph Alignment. CoRL Vitalis Vosylius, Edward Johns
2023	J	`jnl`	Few-Shot In-Context Imitation Learning via Implicit Graph Alignment. CoRR Vitalis Vosylius, Edward Johns
2023	J	`jnl`	Language Models as Zero-Shot Trajectory Generators. CoRR Teyun Kwon, Norman Di Palo, Edward Johns
2023	A*	`conf`	Learning Tethered Perching for Aerial Robots. ICRA Fabian Hauf, Basaran Bahadir Kocer, Alan Slatter, Hai-Nguyen Nguyen, Oscar Pang, Ronald Clark, Edward Johns, Mirko Kovac
2023	J	`jnl`	On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation. CoRR Norman Di Palo, Edward Johns
2023	Misc	`conf`	One-Shot Imitation Learning: A Pose Estimation Perspective. CoRL Pietro Vitiello, Kamil Dreczkowski, Edward Johns
2023	J	`jnl`	One-Shot Imitation Learning: A Pose Estimation Perspective. CoRR Pietro Vitiello, Kamil Dreczkowski, Edward Johns
2023	J	`jnl`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR 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.
2023	J	`jnl`	Prismer: A Vision-Language Model with An Ensemble of Experts. CoRR Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar
2023	J	`jnl`	SceneScore: Learning a Cost Function for Object Arrangement. CoRR Ivan Kapelyukh, Edward Johns
2022	J	`jnl`	AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. CoRR Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng
2022	J	`jnl`	AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. IEEE Trans. Pattern Anal. Mach. Intell. Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng
2022	J	`jnl`	Auto-Lambda: Disentangling Dynamic Task Relationships. CoRR Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns
2022	J	`jnl`	Auto-Lambda: Disentangling Dynamic Task Relationships. Trans. Mach. Learn. Res. Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns
2022	A*	`conf`	Bootstrapping Semantic Segmentation with Regional Contrast. ICLR Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison
2022	J	`jnl`	DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics. CoRR Ivan Kapelyukh, Vitalis Vosylius, Edward Johns
2022	A	`conf`	Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning. IROS Eugene Valassakis, Georgios Papagiannis, Norman Di Palo, Edward Johns
2022	J	`jnl`	Demonstrate Once, Imitate Immediately (DOME): Learning Visual Servoing for One-Shot Imitation Learning. CoRR Eugene Valassakis, Georgios Papagiannis, Norman Di Palo, Edward Johns
2022	Misc	`conf`	Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter. CoRL Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison
2022	J	`jnl`	Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter. CoRR Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison
2022	Misc	`conf`	Where To Start? Transferring Simple Skills to Complex Environments. CoRL Vitalis Vosylius, Edward Johns
2022	J	`jnl`	Where To Start? Transferring Simple Skills to Complex Environments. CoRR Vitalis Vosylius, Edward Johns
2021	Misc	`conf`	Back to Reality for Imitation Learning. CoRL Edward Johns
2021	J	`jnl`	Back to Reality for Imitation Learning. CoRR Edward Johns
2021	A*	`conf`	Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer. ICRA Raghad Alghonaim, Edward Johns
2021	J	`jnl`	Bootstrapping Semantic Segmentation with Regional Contrast. CoRR Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison
2021	A*	`conf`	Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration. ICRA Edward Johns
2021	J	`jnl`	Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration. CoRR Edward Johns
2021	A	`conf`	Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across Wide Task Spaces. IROS Eugene Valassakis, Norman Di Palo, Edward Johns
2021	J	`jnl`	Coarse-to-Fine for Sim-to-Real: Sub-Millimetre Precision Across the Workspace. CoRR Eugene Valassakis, Norman Di Palo, Edward Johns
2021	J	`jnl`	DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration. IEEE Robotics Autom. Lett. Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang
2021	J	`jnl`	DROID: Minimizing the Reality Gap using Single-Shot Human Demonstration. CoRR Ya-Yen Tsai, Hui Xu, Zihan Ding, Chong Zhang, Edward Johns, Bidan Huang
2021	A	`conf`	Hybrid ICP. IROS Kamil Dreczkowski, Edward Johns
2021	J	`jnl`	Hybrid ICP. CoRR Kamil Dreczkowski, Edward Johns
2021	Misc	`conf`	Learning Eye-in-Hand Camera Calibration from a Single Image. CoRL Eugene Valassakis, Kamil Dreczkowski, Edward Johns
2021	J	`jnl`	Learning Eye-in-Hand Camera Calibration from a Single Image. CoRR Eugene Valassakis, Kamil Dreczkowski, Edward Johns
2021	Misc	`conf`	Learning Multi-Stage Tasks with One Demonstration via Self-Replay. CoRL Norman Di Palo, Edward Johns
2021	J	`jnl`	Learning Multi-Stage Tasks with One Demonstration via Self-Replay. CoRR Norman Di Palo, Edward Johns
2021	Misc	`conf`	My House, My Rules: Learning Tidying Preferences with Graph Neural Networks. CoRL Ivan Kapelyukh, Edward Johns
2021	J	`jnl`	My House, My Rules: Learning Tidying Preferences with Graph Neural Networks. CoRR Ivan Kapelyukh, Edward Johns
2020	J	`jnl`	Benchmarking Domain Randomisation for Visual Sim-to-Real Transfer. CoRR Raghad Alghonaim, Edward Johns
2020	J	`jnl`	Constrained-Space Optimization and Reinforcement Learning for Complex Tasks. CoRR Ya-Yen Tsai, Bo Xiao, Edward Johns, Guang-Zhong Yang
2020	J	`jnl`	Constrained-Space Optimization and Reinforcement Learning for Complex Tasks. IEEE Robotics Autom. Lett. Ya-Yen Tsai, Bo Xiao, Edward Johns, Guang-Zhong Yang
2020	J	`jnl`	Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. CoRR Eugene Valassakis, Zihan Ding, Edward Johns
2020	A	`conf`	Crossing the Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics. IROS Eugene Valassakis, Zihan Ding, Edward Johns
2020	A	`conf`	Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. IROS Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim
2020	J	`jnl`	Physics-Based Dexterous Manipulations with Estimated Hand Poses and Residual Reinforcement Learning. CoRR Guillermo Garcia-Hernando, Edward Johns, Tae-Kyun Kim
2020	J	`jnl`	SAFARI: Safe and Active Robot Imitation Learning with Imagination. CoRR Norman Di Palo, Edward Johns
2020	—	`conf`	Shape Adaptor: A Learnable Resizing Module. ECCV (12) Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
2020	J	`jnl`	Shape Adaptor: A Learnable Resizing Module. CoRR Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns
2020	A*	`conf`	Sim-to-Real Transfer for Optical Tactile Sensing. ICRA Zihan Ding, Nathan F. Lepora, Edward Johns
2020	J	`jnl`	Sim-to-Real Transfer for Optical Tactile Sensing. CoRR Zihan Ding, Nathan F. Lepora, Edward Johns
2019	A*	`conf`	End-To-End Multi-Task Learning With Attention. CVPR Shikun Liu, Edward Johns, Andrew J. Davison
2019	A*	`conf`	Self-Supervised Generalisation with Meta Auxiliary Learning. NeurIPS Shikun Liu, Andrew J. Davison, Edward Johns
2019	J	`jnl`	Self-Supervised Generalisation with Meta Auxiliary Learning. CoRR Shikun Liu, Andrew J. Davison, Edward Johns
2018	J	`jnl`	End-to-End Multi-Task Learning with Attention. CoRR Shikun Liu, Edward Johns, Andrew J. Davison
2017	J	`jnl`	An image retrieval framework for real-time endoscopic image retargeting. Int. J. Comput. Assist. Radiol. Surg. Menglong Ye, Edward Johns, Benjamin M. Walter, Alexander Meining, Guang-Zhong Yang
2017	A*	`conf`	Application-oriented design space exploration for SLAM algorithms. ICRA Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
2017	J	`jnl`	Self-Supervised Siamese Learning on Stereo Image Pairs for Depth Estimation in Robotic Surgery. CoRR Menglong Ye, Edward Johns, Ankur Handa, Lin Zhang, Philip Pratt, Guang-Zhong Yang
2017	Misc	`conf`	Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. CoRL Stephen James, Andrew J. Davison, Edward Johns
2017	J	`jnl`	Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. CoRR Stephen James, Andrew J. Davison, Edward Johns
2016	J	`jnl`	3D Simulation for Robot Arm Control with Deep Q-Learning. CoRR Stephen James, Edward Johns
2016	J	`jnl`	Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty. CoRR Edward Johns, Stefan Leutenegger, Andrew J. Davison
2016	A	`conf`	Deep learning a grasp function for grasping under gripper pose uncertainty. IROS Edward Johns, Stefan Leutenegger, Andrew J. Davison
2016	J	`jnl`	PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors. CoRR Vassileios Balntas, Edward Johns, Lilian Tang, Krystian Mikolajczyk
2016	J	`jnl`	Pairwise Decomposition of Image Sequences for Active Multi-View Recognition. CoRR Edward Johns, Stefan Leutenegger, Andrew J. Davison
2016	A*	`conf`	Pairwise Decomposition of Image Sequences for Active Multi-view Recognition. CVPR Edward Johns, Stefan Leutenegger, Andrew J. Davison
2016	—	`conf`	Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy. MICCAI (1) Menglong Ye, Edward Johns, Benjamin M. Walter, Alexander Meining, Guang-Zhong Yang
2016	J	`jnl`	Robust Image Descriptors for Real-Time Inter-Examination Retargeting in Gastrointestinal Endoscopy. CoRR Menglong Ye, Edward Johns, Benjamin M. Walter, Alexander Meining, Guang-Zhong Yang
2015	J	`jnl`	Becoming the Expert - Interactive Multi-Class Machine Teaching. CoRR Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow
2015	A*	`conf`	Becoming the expert - interactive multi-class machine teaching. CVPR Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow
2014	J	`jnl`	Generative Methods for Long-Term Place Recognition in Dynamic Scenes. Int. J. Comput. Vis. Edward Johns, Guang-Zhong Yang
2014	—	`conf`	Online Scene Association for Endoscopic Navigation. MICCAI (2) Menglong Ye, Edward Johns, Stamatia Giannarou, Guang-Zhong Yang
2013	A*	`conf`	Dynamic scene models for incremental, long-term, appearance-based localisation. ICRA Edward Johns, Guang-Zhong Yang
2013	A*	`conf`	Feature Co-occurrence Maps: Appearance-based localisation throughout the day. ICRA Edward Johns, Guang-Zhong Yang
2012	C	`conf`	An Intelligent Food-Intake Monitoring System Using Wearable Sensors. BSN Jindong Liu, Edward Johns, Louis Atallah, Claire Pettitt, Benny Lo, Gary S. Frost, Guang-Zhong Yang
2011	A	`conf`	A scene-associated training method for mobile robot speech recognition in multisource reverberated environments. IROS Jindong Liu, Edward Johns, Guang-Zhong Yang
2011	A*	`conf`	From images to scenes: Compressing an image cluster into a single scene model for place recognition. ICCV Edward Johns, Guang-Zhong Yang
2011	A*	`conf`	Global localization in a dense continuous topological map. ICRA Edward Johns, Guang-Zhong Yang
2011	A	`conf`	Place Recognition and Online Learning in Dynamic Scenes with Spatio-Temporal Landmarks. BMVC Edward Johns, Guang-Zhong Yang
2010	A	`conf`	Scene association for mobile robot navigation. IROS Edward Johns, Guang-Zhong Yang