Rico Jonschkowski

35 papers A* 6A 2Misc 1Journal 20Unranked 5

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