Edward Johns

18 papers · 2015–2025 · 6 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (7)

🐣 Hot Topic Early Bird 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🧬 Topic Evolution 🔥 Unstoppable (7) 🚀 Conference Pioneer 💎 Century Club (18) ❓ The Questioner 📈 Trend Setter 🗃️ Keyword Collector (68)

Conferences

CORL (10) CVPR (3) ICLR (2) ECCV (1) NIPS (1) RSS (1)

Top co-authors

Shikun Liu (4) Vitalis Vosylius (3) Andrew Davison (3) Andrew J. Davison (3) Kamil Dreczkowski (2) Norman Di Palo (2) Iain Haughton (1) Eugene Valassakis (1) Stephen James (1) Gabriel J. Brostow (1)

Research topics

Robotics (1)

Keywords

imitation learning (3) transfer learning (2) convolutional neural network (2) image classification (2) pose estimation (2) one-shot learning (2) robot manipulation (2) multi-task learning (2) few-shot learning (1) interactive learning (1) feature learning (1) active learning (1) robotic manipulation (1) object recognition (1) task generalization (1) sim-to-real transfer (1) embodied ai (1) in-context learning (1) attention mechanism (1) preference learning (1)

Papers

Instant Policy: In-Context Imitation Learning via Graph Diffusion ICLR 2025 MILES: Making Imitation Learning Easy with Self-Supervision CORL 2024 Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics RSS 2024 Few-Shot In-Context Imitation Learning via Implicit Graph Alignment CORL 2023 One-Shot Imitation Learning: A Pose Estimation Perspective CORL 2023 Bootstrapping Semantic Segmentation with Regional Contrast ICLR 2022 Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter CORL 2022 Where To Start? Transferring Simple Skills to Complex Environments CORL 2022 Back to Reality for Imitation Learning CORL 2021 Learning Multi-Stage Tasks with One Demonstration via Self-Replay CORL 2021 My House, My Rules: Learning Tidying Preferences with Graph Neural Networks CORL 2021 Learning Eye-in-Hand Camera Calibration from a Single Image CORL 2021 Shape Adaptor: A Learnable Resizing Module ECCV 2020 End-To-End Multi-Task Learning With Attention CVPR 2019 Self-Supervised Generalisation with Meta Auxiliary Learning NIPS 2019 Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task CORL 2017 Pairwise Decomposition of Image Sequences for Active Multi-View Recognition CVPR 2016 Becoming the Expert - Interactive Multi-Class Machine Teaching CVPR 2015