Oliver Groth

According to our database, Oliver Groth authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauzá Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

Trans. Mach. Learn. Res., 2024

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots.

Thomas Lampe, Abbas Abdolmaleki, Sarah Bechtle, Sandy H. Huang, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin A. Riedmiller

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Offline Actor-Critic Reinforcement Learning Scales to Large Models.

Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin A. Riedmiller

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unlocking the Power of Representations in Long-term Novelty-based Exploration.

Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.

Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess

CoRR, 2023

2021

Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration.

Oliver Groth, Markus Wulfmeier, Giulia Vezzani, Vibhavari Dasagi, Tim Hertweck, Roland Hafner, Nicolas Heess, Martin A. Riedmiller

CoRR, 2021

Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives.

Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces.

Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks.

Yizhe Wu, Sudhanshu Kasewa, Oliver Groth, Sasha Salter, Li Sun, Oiwi Parker Jones, Ingmar Posner

CoRR, 2019

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes.

Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing.

Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner

CoRR, 2018

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking.

Oliver Groth, Fabian B. Fuchs, Ingmar Posner, Andrea Vedaldi

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations.

Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei

Int. J. Comput. Vis., 2017

Analyzing modular CNN architectures for joint depth prediction and semantic segmentation.

Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Visual7W: Grounded Question Answering in Images.

Yuke Zhu, Oliver Groth, Michael S. Bernstein, Li Fei-Fei

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016