Rico Jonschkowski
Rico Jonschkowski
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Cited by
Cited by
Depth from videos in the wild: Unsupervised monocular depth learning from unknown cameras
A Gordon, H Li, R Jonschkowski, A Angelova
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Scaling up multi-task robotic reinforcement learning
D Kalashnikov, J Varley, Y Chebotar, B Swanson, R Jonschkowski, ...
5th Annual Conference on Robot Learning, 2021
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems
C Eppner, S Höfer, R Jonschkowski, R Martín-Martín, A Sieverling, V Wall, ...
Proceedings of Robotics: Science and Systems, 2016
Learning State Representations with Robotic Priors
R Jonschkowski, O Brock
Autonomous Robots 39 (3), 407-428, 2015
What Matters in Unsupervised Optical Flow
R Jonschkowski, A Stone, JT Barron, A Gordon, K Konolige, A Angelova
European Conference on Computer Vision, 2020
Conditional object-centric learning from video
T Kipf, GF Elsayed, A Mahendran, A Stone, S Sabour, G Heigold, ...
arXiv preprint arXiv:2111.12594, 2021
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors
R Jonschkowski, D Rastogi, O Brock
Proceedings of Robotics: Science and Systems, 2018
Keypose: Multi-view 3d labeling and keypoint estimation for transparent objects
X Liu, R Jonschkowski, A Angelova, K Konolige
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Smurf: Self-teaching multi-frame unsupervised raft with full-image warping
A Stone, D Maurer, A Ayvaci, A Angelova, R Jonschkowski
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2021
The Distracting Control Suite--A Challenging Benchmark for Reinforcement Learning from Pixels
A Stone, O Ramirez, K Konolige, R Jonschkowski
arXiv preprint arXiv:2101.02722, 2021
Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge
R Jonschkowski, C Eppner, S Höfer, R Martín-Martín, O Brock
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations
R Jonschkowski, R Hafner, J Scholz, M Riedmiller
New Frontiers for Deep Learning in Robotics Workshop at RSS, 2017
State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction
R Jonschkowski, O Brock
Proceedings of Robotics: Science and Systems, 2014
Patterns for Learning with Side Information
R Jonschkowski, S Höfer, O Brock
arXiv preprint arXiv:1511.06429, 2015
End-To-End Learnable Histogram Filters
R Jonschkowski, O Brock
Workshop on Deep Learning for Action and Interaction at NeurIPS, 2016
Four aspects of building robotic systems: lessons from the amazon picking challenge 2015
C Eppner, S Höfer, R Jonschkowski, R Martín-Martín, A Sieverling, V Wall, ...
Autonomous Robots 42 (7), 1459-1475, 2018
Towards Differentiable Resampling
M Zhu, K Murphy, R Jonschkowski
RSS Workshop on Structured Approaches to Robot Learning for Improved …, 2020
Learning Object-Centric Video Models by Contrasting Sets
S Löwe, K Greff, R Jonschkowski, A Dosovitskiy, T Kipf
NeurIPS Workshop on Object Representations for Learning and Reasoning, 2020
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization
P Karkus, A Angelova, V Vanhoucke, R Jonschkowski
International Conference on Robotics and Automation, 2020
Learning Task-Specific State Representations by Maximizing Slowness and Predictability
R Jonschkowski, O Brock
Proceedings of the 6th International Workshop on Evolutionary and …, 2013
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