Sara Sabour

According to our database, Sara Sabour authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

nerf2nerf: Pairwise Registration of Neural Radiance Fields.

Lily Goli, Daniel Rebain, Sara Sabour, Animesh Garg, Andrea Tagliasacchi

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

RobustNeRF: Ignoring Distractors with Robust Losses.

Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Testing GLOM's ability to infer wholes from ambiguous parts.

Laura Culp, Sara Sabour, Geoffrey E. Hinton

CoRR, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

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, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Canonical Capsules: Self-Supervised Capsules in Canonical Pose.

Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Part Representation by Flow Capsules.

Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Canonical Capsules: Unsupervised Capsules in Canonical Pose.

Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey E. Hinton, Kwang Moo Yi

CoRR, 2020

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions.

Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon

CoRR, 2019

Stacked Capsule Autoencoders.

Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Completion Distillation for Sequence Learning.

Sara Sabour, William Chan, Mohammad Norouzi

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules.

Nicholas Frosst, Sara Sabour, Geoffrey E. Hinton

CoRR, 2018

Matrix capsules with EM routing.

Geoffrey E. Hinton, Sara Sabour, Nicholas Frosst

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Dynamic Routing Between Capsules.

Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Adversarial Manipulation of Deep Representations.

Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

{0, 2}-Degree free spanning forests in graphs.

Saieed Akbari, Kenta Ozeki, Alireza Rezaei, Rahmtin Rotabi, Sara Sabour

Discret. Math., 2015