Stephen James
22 papers · 2017–2024 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(3)
💎
Century Club · Bronze
🚀
Conference Pioneer
🗃️
Keyword Collector
(104)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(13)
Robotics
(12)
Artificial Intelligence
(11)
Reinforcement Learning
(11)
Capabilities
(11)
Core AI
(10)
Deep Learning
(9)
Learning Types · Machine Learning
(9)
Applications
(7)
Methods
(7)
Computer Vision
(5)
Analysis
(4)
Application Areas
(4)
Learning Types · Deep Learning
(4)
Models
(4)
Keywords
robotic manipulation
(4)
reinforcement learning
(4)
robot manipulation
(3)
domain randomization
(3)
imitation learning
(3)
visuomotor control
(3)
diffusion model
(3)
vision transformer
(2)
visual robotic manipulation
(2)
world model
(2)
end-to-end learning
(2)
masked autoencoder
(2)
transfer learning
(2)
domain adaptation
(2)
deep reinforcement learning
(2)
image translation
(2)
few-shot learning
(2)
robot learning
(2)
path planning
(1)
multi-task learning
(1)
Papers
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
CoRL 2024
Continuous Control with Coarse-to-fine Reinforcement Learning
CoRL 2024
Generative Image as Action Models
CoRL 2024
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
CVPR 2024
Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning
RSS 2024
Vision Foundation Model Enables Generalizable Object Pose Estimation
NeurIPS 2024
Language-Conditioned Path Planning
CoRL 2023
Multi-View Masked World Models for Visual Robotic Manipulation
ICML 2023
Temporally Consistent Transformers for Video Generation
ICML 2023
Coarse-To-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
CVPR 2022
Masked World Models for Visual Control
CoRL 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
NeurIPS 2022
Real-World Robot Learning with Masked Visual Pre-training
CoRL 2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-Training for Robotic Bin Picking
ECCV 2022
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data
CoRL 2022
End-to-End Egospheric Spatial Memory
ICLR 2021
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks
ICCV 2021
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
CVPR 2020
Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
CVPR 2019
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
CoRL 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning
CoRL 2018
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
CoRL 2017