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ORCIDRico Jonschkowski
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2020 – today
- 2022
[c14]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- 2021
- [j4]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): 191 (2021) - [j3]Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski:
A Metric Space Perspective on Self-Supervised Policy Adaptation. IEEE Robotics Autom. Lett. 6(3): 4329-4336 (2021) - [c13]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: 557-575 - [c12]Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova:
Adaptive Intermediate Representations for Video Understanding. CVPR Workshops 2021: 1602-1612 - [c11]Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski:
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping. CVPR 2021: 3887-3896 - [i16]Austin Stone, Oscar Ramirez, Kurt Konolige, Rico Jonschkowski:
The Distracting Control Suite - A Challenging Benchmark for Reinforcement Learning from Pixels. CoRR abs/2101.02722 (2021) - [i15]Juhana Kangaspunta, A. J. Piergiovanni, Rico Jonschkowski, Michael S. Ryoo, Anelia Angelova:
Adaptive Intermediate Representations for Video Understanding. CoRR abs/2104.07135 (2021) - [i14]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 abs/2104.08212 (2021) - [i13]Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski:
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping. CoRR abs/2105.07014 (2021) - [i12]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 abs/2111.12594 (2021) - 2020
- [c10]Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige:
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects. CVPR 2020: 11599-11607 - [c9]Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova:
What Matters in Unsupervised Optical Flow. ECCV (2) 2020: 557-572 - [c8]Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski:
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. ICRA 2020: 4753-4759 - [i11]Michael Zhu, Kevin Murphy, Rico Jonschkowski:
Towards Differentiable Resampling. CoRR abs/2004.11938 (2020) - [i10]Péter Karkus, Anelia Angelova, Vincent Vanhoucke, Rico Jonschkowski:
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization. CoRR abs/2005.09530 (2020) - [i9]Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova:
What Matters in Unsupervised Optical Flow. CoRR abs/2006.04902 (2020) - [i8]Cristian Bodnar, Karol Hausman, Gabriel Dulac-Arnold, Rico Jonschkowski:
A Geometric Perspective on Self-Supervised Policy Adaptation. CoRR abs/2011.07318 (2020) - [i7]Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf:
Learning Object-Centric Video Models by Contrasting Sets. CoRR abs/2011.10287 (2020)
2010 – 2019
- 2019
- [c7]Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova:
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras. ICCV 2019: 8976-8985 - [c6]Marco Morik, Divyam Rastogi, Rico Jonschkowski, Oliver Brock:
State Representation Learning with Robotic Priors for Partially Observable Environments. IROS 2019: 6693-6699 - [i6]Ariel Gordon, Hanhan Li, Rico Jonschkowski, Anelia Angelova:
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras. CoRR abs/1904.04998 (2019) - [i5]Rico Jonschkowski, Austin Stone:
Towards Object Detection from Motion. CoRR abs/1909.12950 (2019) - [i4]Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige:
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects. CoRR abs/1912.02805 (2019) - 2018
- [b1]Rico Jonschkowski:
Learning robotic perception through prior knowledge. Technical University of Berlin, Germany, 2018 - [j2]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): 1459-1475 (2018) - [c5]Rico Jonschkowski, Divyam Rastogi, Oliver Brock:
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors. Robotics: Science and Systems 2018 - [i3]Rico Jonschkowski, Divyam Rastogi, Oliver Brock:
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors. CoRR abs/1805.11122 (2018) - 2017
- [c4]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: 4831-4835 - [i2]Rico Jonschkowski, Roland Hafner, Jonathan Scholz, Martin A. Riedmiller:
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations. CoRR abs/1705.09805 (2017) - 2016
- [c3]Rico Jonschkowski, Clemens Eppner, Sebastian Höfer, Roberto Martin Martin, Oliver Brock:
Probabilistic multi-class segmentation for the Amazon Picking Challenge. IROS 2016: 1-7 - [c2]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 - 2015
- [j1]Rico Jonschkowski, Oliver Brock:
Learning state representations with robotic priors. Auton. Robots 39(3): 407-428 (2015) - [i1]Rico Jonschkowski, Sebastian Höfer, Oliver Brock:
Contextual Learning. CoRR abs/1511.06429 (2015) - 2014
- [c1]Rico Jonschkowski, Oliver Brock:
State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction. Robotics: Science and Systems 2014
Coauthor Index
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