| 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 | 149 | 2016 |
| Learning State Representations with Robotic Priors R Jonschkowski, O Brock Autonomous Robots 39 (3), 407-428, 2015 | 131 | 2015 |
| 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 | 112 | 2019 |
| 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 | 60 | 2016 |
| Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors R Jonschkowski, D Rastogi, O Brock Proceedings of Robotics: Science and Systems, 2018 | 47 | 2018 |
| State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction R Jonschkowski, O Brock Proceedings of Robotics: Science and Systems, 2014 | 46 | 2014 |
| 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 | 44 | 2017 |
| Patterns for Learning with Side Information R Jonschkowski, S Höfer, O Brock arXiv preprint arXiv:1511.06429, 2015 | 29* | 2015 |
| End-To-End Learnable Histogram Filters R Jonschkowski, O Brock Workshop on Deep Learning for Action and Interaction at NeurIPS, 2016 | 22 | 2016 |
| What Matters in Unsupervised Optical Flow R Jonschkowski, A Stone, JT Barron, A Gordon, K Konolige, A Angelova European Conference on Computer Vision, 2020 | 13 | 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 | 10 | 2013 |
| 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 | 8 | 2020 |
| 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 | 8 | 2018 |
| Unsupervised learning of state representations for multiple tasks S Höfer, A Raffin, R Jonschkowski, O Brock, F Stulp Deep Learning Workshop at the Conference on Neural Information Processing …, 2016 | 7* | 2016 |
| 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 | 5 | 2021 |
| Towards Differentiable Resampling M Zhu, K Murphy, R Jonschkowski RSS Workshop on Structured Approaches to Robot Learning for Improved …, 2020 | 4 | 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 | 2 | 2020 |
| Towards Object Detection from Motion R Jonschkowski, A Stone NeurIPS Workshop on Robot Learning: Control and Interaction in the Real World, 2019 | 2* | 2019 |
| 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 | 1 | 2020 |
| State Representation Learning with Robotic Priors for Partially Observable Environments. M Morik, D Rastogi, R Jonschkowski, O Brock IEEE/RSJ International Conference on Intelligent Robots and Systems, 6693-6699, 2019 | 1 | 2019 |
Oliver BrockProfessor of Computer Science, Technische Universität BerlinVahvistettu sähköpostiosoite verkkotunnuksessa tu-berlin.de
