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Oliver Groth
Oliver Groth
Senior Research Scientist, Google DeepMind
Verified email at deepmind.com - Homepage
Title
Cited by
Cited by
Year
Visual Genome: Connecting Language and Vision using Crowdsourced Dense Image Annotations
R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ...
International Journal of Computer Vision (IJCV), 45, 2016
60962016
Visual7w: Grounded question answering in images
Y Zhu, O Groth, M Bernstein, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2016
10302016
Shapestacks: Learning vision-based physical intuition for generalised object stacking
O Groth, FB Fuchs, I Posner, A Vedaldi
Proceedings of the european conference on computer vision (eccv), 702-717, 2018
1052018
Robocat: A self-improving generalist agent for robotic manipulation
K Bousmalis, G Vezzani, D Rao, CM Devin, AX Lee, MB Villalonga, ...
Transactions on Machine Learning Research, 2023
103*2023
Analyzing modular CNN architectures for joint depth prediction and semantic segmentation
OH Jafari, O Groth, A Kirillov, MY Yang, C Rother
2017 IEEE international conference on robotics and automation (ICRA), 4620-4627, 2017
812017
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
S Ehrhardt, O Groth, A Monszpart, M Engelcke, I Posner, N Mitra, ...
Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2020
582020
Is curiosity all you need? on the utility of emergent behaviours from curious exploration
O Groth, M Wulfmeier, G Vezzani, V Dasagi, T Hertweck, R Hafner, ...
arXiv preprint arXiv:2109.08603, 2021
262021
Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives
O Groth, CM Hung, A Vedaldi, I Posner
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021
192021
Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes
FB Fuchs, O Groth, AR Kosiorek, A Bewley, M Wulfmeier, A Vedaldi, ...
Proceedings of the 30th British Machine Vision Conference (BMVC), 2019
14*2019
Learning Affordances in Object-Centric Generative Models
Y Wu, S Kasewa, O Groth, S Salter, L Sun, OP Jones, I Posner
Workshop on Object-Oriented Learning (OOL): Perception, Representation, and …, 2020
9*2020
Offline actor-critic reinforcement learning scales to large models
JT Springenberg, A Abdolmaleki, J Zhang, O Groth, M Bloesch, T Lampe, ...
arXiv preprint arXiv:2402.05546, 2024
62024
Unlocking the Power of Representations in Long-term Novelty-based Exploration
S Kapturowski, A Saade, D Calandriello, C Blundell, P Sprechmann, ...
Second Agent Learning in Open-Endedness Workshop, 2023
4*2023
Mastering stacking of diverse shapes with large-scale iterative reinforcement learning on real robots
T Lampe, A Abdolmaleki, S Bechtle, SH Huang, JT Springenberg, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 7772-7779, 2024
32024
Learning Physical Intuition for Robotic Manipulation
OM Groth
University of Oxford, 2021
12021
Giving Robots a Physical Intuition
O Groth
Visual Geometry Group blog, 2019
2019
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