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The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels


Jan 07, 2021
Austin Stone, Oscar Ramirez, Kurt Konolige, Rico Jonschkowski

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* Code available at https://github.com/google-research/google-research/tree/master/distracting_control 

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What Matters in Unsupervised Optical Flow


Jun 08, 2020
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova

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* Source code is available at https://github.com/google-research/google-research/tree/master/uflow 

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KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects


Dec 05, 2019
Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige

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On Pre-Trained Image Features and Synthetic Images for Deep Learning


Nov 16, 2017
Stefan Hinterstoisser, Vincent Lepetit, Paul Wohlhart, Kurt Konolige

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Going Further with Point Pair Features


Nov 11, 2017
Stefan Hinterstoisser, Vincent Lepetit, Naresh Rajkumar, Kurt Konolige

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* Corrected post-print of manuscript accepted to the European Conference on Computer Vision (ECCV) 2016; https://link.springer.com/chapter/10.1007/978-3-319-46487-9_51 

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Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping


Sep 25, 2017
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke

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* 9 pages, 5 figures, 3 tables 

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The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach


Oct 19, 2012
Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Konolige

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* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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