Rico Jonschkowski

ORCID

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 33

Top Venues

CoRR

Auton. Robots

Robotics: Science and Systems

IROS

Technical University of Berlin, Germany (PHD)

Education History

Technical University of Berlin, Germany

PHD

Publications

Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
Conditional Object-Centric Learning from Video. ICLR (2022)
Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova
Adaptive Intermediate Representations for Video Understanding. CoRR (2021)
Austin Stone, Oscar Ramirez, Kurt Konolige, Rico Jonschkowski
The Distracting Control Suite - A Challenging Benchmark for Reinforcement Learning from Pixels. CoRR (2021)
Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski
A Metric Space Perspective on Self-Supervised Policy Adaptation. IEEE Robotics Autom. Lett. 6 (3) (2021)
Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock
Correction to: Four aspects of building robotic systems: lessons from the Amazon Picking Challenge 2015. Auton. Robots 45 (1) (2021)
Dmitry Kalashnikov, Jake Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman
Scaling Up Multi-Task Robotic Reinforcement Learning. CoRL (2021)
Dmitry Kalashnikov, Jacob Varley, Yevgen Chebotar, Benjamin Swanson, Rico Jonschkowski, Chelsea Finn, Sergey Levine, Karol Hausman
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale. CoRR (2021)
Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
Conditional Object-Centric Learning from Video. CoRR (2021)
Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova
Adaptive Intermediate Representations for Video Understanding. CVPR Workshops (2021)
Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping. CVPR (2021)
Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping. CoRR (2021)
Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski
A Geometric Perspective on Self-Supervised Policy Adaptation. CoRR (2020)
Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf
Learning Object-Centric Video Models by Contrasting Sets. CoRR (2020)
Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. CoRR (2020)
Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. CVPR (2020)
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
What Matters in Unsupervised Optical Flow. ECCV (2) (2020)
Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. ICRA (2020)
Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova
What Matters in Unsupervised Optical Flow. CoRR (2020)
Michael Zhu, Kevin Murphy, Rico Jonschkowski
Towards Differentiable Resampling. CoRR (2020)
Marco Morik, Divyam Rastogi, Rico Jonschkowski, Oliver Brock
State Representation Learning with Robotic Priors for Partially Observable Environments. IROS (2019)
Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras. CoRR (2019)
Rico Jonschkowski, Austin Stone
Towards Object Detection from Motion. CoRR (2019)
Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. ICCV (2019)
Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects. CoRR (2019)
Rico Jonschkowski, Divyam Rastogi, Oliver Brock
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors. CoRR (2018)
Rico Jonschkowski, Divyam Rastogi, Oliver Brock
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors. Robotics: Science and Systems (2018)
Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock
Four aspects of building robotic systems: lessons from the Amazon Picking Challenge 2015. Auton. Robots 42 (7) (2018)
Rico Jonschkowski, Roland Hafner, Jonathan Scholz, Martin A. Riedmiller
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations. CoRR (2017)
Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martín-Martín, Arne Sieverling, Vincent Wall, Oliver Brock
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems. IJCAI (2017)
Rico Jonschkowski, Clemens Eppner, Sebastian Höfer, Roberto Martin Martin, Oliver Brock
Probabilistic multi-class segmentation for the Amazon Picking Challenge. IROS (2016)
Clemens Eppner, Sebastian Höfer, Rico Jonschkowski, Roberto Martin Martin, Arne Sieverling, Vincent Wall, Oliver Brock
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems. Robotics: Science and Systems (2016)
Rico Jonschkowski, Oliver Brock
Learning state representations with robotic priors. Auton. Robots 39 (3) (2015)
Rico Jonschkowski, Sebastian Höfer, Oliver Brock
Contextual Learning. CoRR (2015)
Rico Jonschkowski, Oliver Brock
State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction. Robotics: Science and Systems (2014)

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Publication Activity (10 Years)

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Rico Jonschkowski