Johns, Edward

23 publications

ICLR 2025 Instant Policy: In-Context Imitation Learning via Graph Diffusion Vitalis Vosylius, Edward Johns

ICLRW 2025 Instant Policy: In-Context Imitation Learning via Graph Diffusion Vitalis Vosylius, Edward Johns

ICLRW 2025 Learning a Thousand Tasks in a Day Kamil Dreczkowski, Pietro Vitiello, Vitalis Vosylius, Edward Johns

NeurIPS 2025 Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions Naoki Kiyohara, Edward Johns, Yingzhen Li

NeurIPSW 2024 Learning SDE Solutions with Neural Stochastic Flows Naoki Kiyohara, Edward Johns, Yingzhen Li

CoRL 2024 MILES: Making Imitation Learning Easy with Self-Supervision Georgios Papagiannis, Edward Johns

TMLR 2024 Prismer: A Vision-Language Model with Multi-Task Experts Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar

CoRL 2023 Few-Shot In-Context Imitation Learning via Implicit Graph Alignment Vitalis Vosylius, Edward Johns

CoRL 2023 One-Shot Imitation Learning: A Pose Estimation Perspective Pietro Vitiello, Kamil Dreczkowski, Edward Johns

TMLR 2022 Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu, Stephen James, Andrew Davison, Edward Johns

ICLR 2022 Bootstrapping Semantic Segmentation with Regional Contrast Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew Davison

CoRL 2022 Real-Time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter Iain Haughton, Edgar Sucar, Andre Mouton, Edward Johns, Andrew Davison

CoRL 2022 Where to Start? Transferring Simple Skills to Complex Environments Vitalis Vosylius, Edward Johns

CoRL 2021 Back to Reality for Imitation Learning Edward Johns

CoRL 2021 Learning Eye-in-Hand Camera Calibration from a Single Image Eugene Valassakis, Kamil Dreczkowski, Edward Johns

CoRL 2021 Learning Multi-Stage Tasks with One Demonstration via Self-Replay Norman Di Palo, Edward Johns

CoRL 2021 My House, My Rules: Learning Tidying Preferences with Graph Neural Networks Ivan Kapelyukh, Edward Johns

ECCV 2020 Shape Adaptor: A Learnable Resizing Module Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns

NeurIPS 2019 Self-Supervised Generalisation with Meta Auxiliary Learning Shikun Liu, Andrew Davison, Edward Johns

CoRL 2017 Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James, Andrew J. Davison, Edward Johns

CVPR 2016 Pairwise Decomposition of Image Sequences for Active Multi-View Recognition Edward Johns, Stefan Leutenegger, Andrew J. Davison

CVPR 2015 Becoming the Expert - Interactive Multi-Class Machine Teaching Edward Johns, Oisin Mac Aodha, Gabriel J. Brostow

ICCV 2011 From Images to Scenes: Compressing an Image Cluster into a Single Scene Model for Place Recognition Edward Johns, Guang-Zhong Yang