Austin Stone

34 papers A* 9C 1Misc 2Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Real-Time Thermal-Inertial Odometry on Embedded Hardware for High-Speed GPS-Denied Flight.
CoRR
Austin Stone, Mark Petersen, Cammy Peterson
2025 A* conf
Learning Visual Composition through Improved Semantic Guidance.
CVPR
Austin Stone, Hagen Soltau, Robert Geirhos, Xi Yi, Ye Xia, Bingyi Cao, Kaifeng Chen, Abhijit Ogale, Jonathon Shlens
2025 A* conf
Towards flexible perception with visual memory.
ICML
Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi, George Toderici, Abhijit Ogale, Jonathon Shlens
2024 J jnl
Learning Visual Composition through Improved Semantic Guidance.
CoRR
Austin Stone, Hagen Soltau, Robert Geirhos, Xi Yi, Ye Xia, Bingyi Cao, Kaifeng Chen, Abhijit Ogale, Jonathon Shlens
2024 J jnl
Towards flexible perception with visual memory.
CoRR
Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi, George Toderici, Abhijit Ogale, Jonathon Shlens
2023 Misc conf
Open-World Object Manipulation using Pre-Trained Vision-Language Models.
CoRL
Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Sean Kirmani, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman
2023 J jnl
Open-World Object Manipulation using Pre-trained Vision-Language Models.
CoRR
Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman
2023 A* conf
Open-vocabulary Queryable Scene Representations for Real World Planning.
ICRA
Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler
2023 — conf
RT-1: Robotics Transformer for Real-World Control at Scale.
Robotics: Science and Systems
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag R. Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2023 — conf
Scaling Robot Learning with Semantically Imagined Experience.
Robotics: Science and Systems
Tianhe Yu, Ted Xiao, Jonathan Tompson, Austin Stone, Su Wang, Anthony Brohan, Jaspiar Singh, Clayton Tan, Dee M, Jodilyn Peralta, Karol Hausman, Brian Ichter, Fei Xia
2023 J jnl
Scaling Robot Learning with Semantically Imagined Experience.
CoRR
Tianhe Yu, Ted Xiao, Austin Stone, Jonathan Tompson, Anthony Brohan, Su Wang, Jaspiar Singh, Clayton Tan, Dee M, Jodilyn Peralta, Brian Ichter, Karol Hausman, Fei Xia
2023 A* conf
Self-supervised AutoFlow.
CVPR
Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun
2023 A* conf
Token Turing Machines.
CVPR
Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
2022 A* conf
Conditional Object-Centric Learning from Video.
ICLR
Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
2022 A* conf
Kubric: A scalable dataset generator.
CVPR
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, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
2022 J jnl
Kubric: A scalable dataset generator.
CoRR
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, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
2022 J jnl
Open-vocabulary Queryable Scene Representations for Real World Planning.
CoRR
Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler
2022 J jnl
RT-1: Robotics Transformer for Real-World Control at Scale.
CoRR
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2022 J jnl
Self-supervised AutoFlow.
CoRR
Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun
2022 J jnl
Simple Open-Vocabulary Object Detection with Vision Transformers.
CoRR
Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby
2022 — conf
Simple Open-Vocabulary Object Detection.
ECCV (10)
Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby
2022 J jnl
Token Turing Machines.
CoRR
Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
2021 J jnl
Conditional Object-Centric Learning from Video.
CoRR
Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
2021 C conf
Coupling Shared and Tunable Negative Competition Against Winner-Take-All Resource Competition Via CRISPRi Moieties.
ACC
Austin Stone, Rong Zhang, Xiao-Jun Tian
2021 A* conf
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping.
CVPR
Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
2021 J jnl
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping.
CoRR
Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
2021 J jnl
The Distracting Control Suite - A Challenging Benchmark for Reinforcement Learning from Pixels.
CoRR
Austin Stone, Oscar Ramirez, Kurt Konolige, Rico Jonschkowski
2020 Misc conf
Learning Object-conditioned Exploration using Distributed Soft Actor Critic.
CoRL
Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev
2020 J jnl
Learning Object-conditioned Exploration using Distributed Soft Actor Critic.
CoRR
Ayzaan Wahid, Austin Stone, Kevin Chen, Brian Ichter, Alexander Toshev
2020 — conf
What Matters in Unsupervised Optical Flow.
ECCV (2)
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
2020 J jnl
What Matters in Unsupervised Optical Flow.
CoRR
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
2019 J jnl
Towards Object Detection from Motion.
CoRR
Rico Jonschkowski, Austin Stone
2017 A* conf
Teaching Compositionality to CNNs.
CVPR
Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George
2017 J jnl
Teaching Compositionality to CNNs.
CoRR
Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George