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Synthetic Data
ServiceNow Research
Synthetic Data
Kubric: A scalable dataset generator
Data is the driving force of machine learning, with the amount and quality of training data often being more important for the …
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 Oztireli
,
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
Computer Vision and Pattern Recognition (CVPR), 2022.
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SEVN: A Sidewalk Simulation Environment for Visual Navigation
Millions of blind and visually-impaired (BVI) people navigate urban environments every day, using smartphones for high-level …
Martin Weiss
,
Simon Chamorro
,
Roger Girgis
,
Margaux Luck
,
Samira Ebrahimi Kahou
,
Joseph P. Cohen
,
Derek Nowrouzezahrai
,
Doina Precup
,
Florian Golemo
,
Christopher Pal
Conference on Robot Learning (CoRL), 2019.
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Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data
Rainfall is a problem in automated traffic surveillance. Rain streaks occlude the road users and degrade the overall visibility which …
Chris H. Bahnsen
,
David Vazquez
,
Antonio M. Lopez
,
Thomas B. Moeslun
International Conference on Computer Vision Theory and Applications (VISIGRAPP), 2018.
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