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Sara Sabour
Sara Sabour
Brain, Google
Verified email at google.com
Title
Cited by
Cited by
Year
Dynamic routing between capsules
S Sabour, N Frosst, GE Hinton
Advances in neural information processing systems 30, 2017
56372017
Matrix capsules with EM routing
S Sabour, N Frosst, G Hinton
6th international conference on learning representations, ICLR, 1-15, 2018
1231*2018
Adversarial manipulation of deep representations
S Sabour, Y Cao, F Faghri, DJ Fleet
arXiv preprint arXiv:1511.05122, 2015
3412015
Stacked capsule autoencoders
A Kosiorek, S Sabour, YW Teh, GE Hinton
Advances in neural information processing systems 32, 2019
3122019
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
1982019
Conditional object-centric learning from video
T Kipf, GF Elsayed, A Mahendran, A Stone, S Sabour, G Heigold, ...
arXiv preprint arXiv:2111.12594, 2021
1512021
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
1252022
Detecting and diagnosing adversarial images with class-conditional capsule reconstructions
Y Qin, N Frosst, S Sabour, C Raffel, G Cottrell, G Hinton
arXiv preprint arXiv:1907.02957, 2019
902019
Canonical capsules: Self-supervised capsules in canonical pose
W Sun, A Tagliasacchi, B Deng, S Sabour, S Yazdani, GE Hinton, KM Yi
Advances in Neural information processing systems 34, 24993-25005, 2021
772021
Dynamic routing between capsules. arXiv
S Sabour, N Frosst, GE Hinton
arXiv preprint arXiv:1710.09829, 2017
592017
Darccc: Detecting adversaries by reconstruction from class conditional capsules
N Frosst, S Sabour, G Hinton
arXiv preprint arXiv:1811.06969, 2018
562018
Dynamic routing between capsules. arXiv 2017
S Sabour, N Frosst, GE Hinton
arXiv preprint arXiv:1710.09829, 0
55
Optimal completion distillation for sequence learning
S Sabour, W Chan, M Norouzi
arXiv preprint arXiv:1810.01398, 2018
462018
Unsupervised part representation by flow capsules
S Sabour, A Tagliasacchi, S Yazdani, G Hinton, DJ Fleet
International Conference on Machine Learning, 9213-9223, 2021
412021
Robustnerf: Ignoring distractors with robust losses
S Sabour, S Vora, D Duckworth, I Krasin, DJ Fleet, A Tagliasacchi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
242023
nerf2nerf: Pairwise registration of neural radiance fields
L Goli, D Rebain, S Sabour, A Garg, A Tagliasacchi
2023 IEEE International Conference on Robotics and Automation (ICRA), 9354-9361, 2023
202023
Testing GLOM's ability to infer wholes from ambiguous parts
L Culp, S Sabour, GE Hinton
arXiv preprint arXiv:2211.16564, 2022
32022
Kubric: A scalable dataset generator
A Kundu, A Tagliasacchi, AY Mak, A Stone, C Doersch, C Oztireli, ...
12022
Evaluation of the major properties of composite resin containing zinc-oxide nano-particles
M Azarsina, S Yazdani, M Jalali, S Sabour, S Kasraei
Dent Adv Res 2, 121, 2017
2017
ADVERSARIAL MANIPULATION OF DEEP REPRESEN
S Sabour, Y Cao, F Faghri, DJ Fleet
arXiv preprint arXiv:1511.05122, 2015
2015
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