Austin Stone
14 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28)
🧬
Topic Evolution
👥
Mega-Team · Legion
🗃️
Keyword Collector
(69)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(6)
Core Methods
(6)
Learning Types · Machine Learning
(5)
Computer Vision
(4)
Architectures
(4)
Learning Types · Deep Learning
(4)
Processing
(4)
Reinforcement Learning
(2)
Analysis
(2)
Application Areas
(2)
Applications
(2)
Methods
(2)
Keywords
optical flow
(3)
video understanding
(2)
robot manipulation
(2)
image classification
(1)
multi-task learning
(1)
feature learning
(1)
semi-supervised learning
(1)
object recognition
(1)
image retrieval
(1)
embedding
(1)
motion estimation
(1)
self-supervised learning
(1)
weakly supervised learning
(1)
data augmentation
(1)
data annotation
(1)
transfer learning
(1)
visual representation
(1)
instance segmentation
(1)
feature disentanglement
(1)
contrastive learning
(1)
Papers
Learning Visual Composition through Improved Semantic Guidance
CVPR 2025
Towards flexible perception with visual memory
ICML 2025
Open-World Object Manipulation using Pre-Trained Vision-Language Models
CoRL 2023
RT-1: Robotics Transformer for Real-World Control at Scale
RSS 2023
Scaling Robot Learning with Semantically Imagined Experience
RSS 2023
Self-Supervised AutoFlow
CVPR 2023
Token Turing Machines
CVPR 2023
Conditional Object-Centric Learning from Video
ICLR 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
Simple Open-Vocabulary Object Detection with Vision Transformers
ECCV 2022
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping
CVPR 2021
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
CoRL 2020
What Matters in Unsupervised Optical Flow
ECCV 2020
Teaching Compositionality to CNNs
CVPR 2017