Teaching Compositionality to CNNs. - Austin Stone; Hua-Yan Wang; Michael Stark 003; Yi Liu 055; D. Scott Phoenix; Dileep George (CVPR, 2017)

Towards Object Detection from Motion. - Rico Jonschkowski; Austin Stone (CoRR, 2019)

Learning Object-conditioned Exploration using Distributed Soft Actor Critic. - Ayzaan Wahid; Austin Stone; Kevin Chen; Brian Ichter; Alexander Toshev (CoRL, 2020)

What Matters in Unsupervised Optical Flow. - Rico Jonschkowski; Austin Stone; Jonathan T. Barron; Ariel Gordon; Kurt Konolige; Anelia Angelova (ECCV (2), 2020)

Coupling Shared and Tunable Negative Competition Against Winner-Take-All Resource Competition Via CRISPRi Moieties. - Austin Stone; Rong Zhang; Xiao-Jun Tian (ACC, 2021)

SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping. - Austin Stone; Daniel Maurer 003; Alper Ayvaci; Anelia Angelova; Rico Jonschkowski (CVPR, 2021)

The Distracting Control Suite - A Challenging Benchmark for Reinforcement Learning from Pixels. - Austin Stone; Oscar Ramirez; Kurt Konolige; Rico Jonschkowski (CoRR, 2021)

Kubric: A scalable dataset generator. - Klaus Greff; Francois Belletti; Lucas Beyer; Carl Doersch; Yilun Du; Daniel Duckworth; David J. Fleet; Dan Gnanapragasam; Florian Golemo; Charles Herrmann; Thomas Kipf; Abhijit Kundu; et al. (CVPR, 2022)

Simple Open-Vocabulary Object Detection. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (ECCV (10), 2022)

Conditional Object-Centric Learning from Video. - Thomas Kipf; Gamaleldin Fathy Elsayed; Aravindh Mahendran; Austin Stone; Sara Sabour; Georg Heigold; Rico Jonschkowski; Alexey Dosovitskiy; Klaus Greff (ICLR, 2022)

Simple Open-Vocabulary Object Detection with Vision Transformers. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (CoRR, 2022)

Open-World Object Manipulation using Pre-Trained Vision-Language Models. - Austin Stone; Ted Xiao; Yao Lu 006; Keerthana Gopalakrishnan; Kuang-Huei Lee; Quan Vuong; Paul Wohlhart; Sean Kirmani; Brianna Zitkovich; Fei Xia 002; Chelsea Finn; Karol Hausman (CoRL, 2023)

Self-supervised AutoFlow. - Hsin-Ping Huang; Charles Herrmann; Junhwa Hur; Erika Lu; Kyle Sargent; Austin Stone; Ming-Hsuan Yang 001; Deqing Sun (CVPR, 2023)

Token Turing Machines. - Michael S. Ryoo; Keerthana Gopalakrishnan; Kumara Kahatapitiya; Ted Xiao; Kanishka Rao; Austin Stone; Yao Lu 006; Julian Ibarz; Anurag Arnab (CVPR, 2023)

Open-vocabulary Queryable Scene Representations for Real World Planning. - Boyuan Chen 003; Fei Xia 002; Brian Ichter; Kanishka Rao; Keerthana Gopalakrishnan; Michael S. Ryoo; Austin Stone; Daniel Kappler (ICRA, 2023)

RT-1: Robotics Transformer for Real-World Control at Scale. - Anthony Brohan; Noah Brown; Justice Carbajal; Yevgen Chebotar; Joseph Dabis; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Jasmine Hsu; Julian Ibarz; Brian Ichter; et al. (Robotics: Science and Systems, 2023)

Scaling Robot Learning with Semantically Imagined Experience. - Tianhe Yu; Ted Xiao; Jonathan Tompson; Austin Stone; Su Wang; Anthony Brohan; Jaspiar Singh; Clayton Tan; Dee M; Jodilyn Peralta; Karol Hausman; Brian Ichter; et al. (Robotics: Science and Systems, 2023)

Open-World Object Manipulation using Pre-trained Vision-Language Models. - Austin Stone; Ted Xiao; Yao Lu 006; Keerthana Gopalakrishnan; Kuang-Huei Lee; Quan Vuong; Paul Wohlhart; Brianna Zitkovich; Fei Xia 002; Chelsea Finn; Karol Hausman (CoRR, 2023)

Towards flexible perception with visual memory. - Robert Geirhos; Priyank Jaini; Austin Stone; Sourabh Medapati; Xi Yi; George Toderici; Abhijit Ogale; Jonathon Shlens (CoRR, 2024)

Learning Visual Composition through Improved Semantic Guidance. - Austin Stone; Hagen Soltau; Robert Geirhos; Xi Yi; Ye Xia; Bingyi Cao; Kaifeng Chen; Abhijit Ogale; Jonathon Shlens (CVPR, 2025)