Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization

May 19, 2020
Peter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski

* ICRA 2020 

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Towards Differentiable Resampling

Apr 24, 2020
Michael Zhu, Kevin Murphy, Rico Jonschkowski

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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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Towards Object Detection from Motion

Sep 17, 2019
Rico Jonschkowski, Austin Stone

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Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras

Apr 10, 2019
Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova

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Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors

May 30, 2018
Rico Jonschkowski, Divyam Rastogi, Oliver Brock

* Accepted at Robotics: Science and Systems 2018 (http://www.roboticsconference.org) 

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PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations

Jul 24, 2017
Rico Jonschkowski, Roland Hafner, Jonathan Scholz, Martin Riedmiller

* Accepted at Robotics: Science and Systems (RSS 2017) Workshop -- New Frontiers for Deep Learning in Robotics http://juxi.net/workshop/deep-learning-rss-2017/ 

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Patterns for Learning with Side Information

Feb 10, 2016
Rico Jonschkowski, Sebastian Höfer, Oliver Brock

* The first two authors contributed equally to this work 

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