Austin C Stone
Austin C Stone
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Cited by
Cited by
Rt-1: Robotics transformer for real-world control at scale
A Brohan, N Brown, J Carbajal, Y Chebotar, J Dabis, C Finn, ...
arXiv preprint arXiv:2212.06817, 2022
Simple open-vocabulary object detection
M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ...
European Conference on Computer Vision, 728-755, 2022
What matters in unsupervised optical flow
R Jonschkowski, A Stone, JT Barron, A Gordon, K Konolige, A Angelova
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Conditional object-centric learning from video
T Kipf, GF Elsayed, A Mahendran, A Stone, S Sabour, G Heigold, ...
arXiv preprint arXiv:2111.12594, 2021
Object tracking by an unmanned aerial vehicle using visual sensors
S Dasgupta, H Martirosyan, H Koppula, A Kendall, A Stone, M Donahoe, ...
US Patent 11,295,458, 2022
Kubric: A scalable dataset generator
K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
The Distracting Control Suite--A Challenging Benchmark for Reinforcement Learning from Pixels
A Stone, O Ramirez, K Konolige, R Jonschkowski
arXiv preprint arXiv:2101.02722, 2021
Smurf: Self-teaching multi-frame unsupervised raft with full-image warping
A Stone, D Maurer, A Ayvaci, A Angelova, R Jonschkowski
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2021
Teaching compositionality to cnns
A Stone, H Wang, M Stark, Y Liu, D Scott Phoenix, D George
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Open-vocabulary queryable scene representations for real world planning
B Chen, F Xia, B Ichter, K Rao, K Gopalakrishnan, MS Ryoo, A Stone, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 11509 …, 2023
Open-world object manipulation using pre-trained vision-language models
A Stone, T Xiao, Y Lu, K Gopalakrishnan, KH Lee, Q Vuong, P Wohlhart, ...
arXiv preprint arXiv:2303.00905, 2023
Scaling robot learning with semantically imagined experience
T Yu, T Xiao, A Stone, J Tompson, A Brohan, S Wang, J Singh, C Tan, ...
arXiv preprint arXiv:2302.11550, 2023
Learning object-conditioned exploration using distributed soft actor critic
A Wahid, A Stone, K Chen, B Ichter, A Toshev
Conference on Robot Learning, 1684-1695, 2021
Token turing machines
MS Ryoo, K Gopalakrishnan, K Kahatapitiya, T Xiao, K Rao, A Stone, Y Lu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
TF-RAFT: A tensorflow implementation of raft
D Sun, C Herrmann, V Jampani, M Krainin, F Cole, A Stone, ...
ECCV Robust Vision Challenge Workshop 8, 2020
Self-supervised AutoFlow
HP Huang, C Herrmann, J Hur, E Lu, K Sargent, A Stone, MH Yang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
System and method for teaching compositionality to convolutional neural networks
AC Stone, H Wang, DS Phoenix, D George
US Patent 10,185,914, 2019
Unsupervised training of optical flow estimation neural networks
DR Maurer, AC Stone, A Ayvaci, A Angelova, R Jonschkowski
US Patent App. 17/721,288, 2022
Towards object detection from motion
R Jonschkowski, A Stone
arXiv preprint arXiv:1909.12950, 2019
Kubric: A scalable dataset generator
A Kundu, A Tagliasacchi, AY Mak, A Stone, C Doersch, C Oztireli, ...
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