| 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 | 5760 | 2016 |
| 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 | 996 | 2016 |
| 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 | 100 | 2018 |
| 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 | 82 | 2017 |
| 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 | 72* | 2023 |
| 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 | 56 | 2020 |
| 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 | 25 | 2021 |
| 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 | 17 | 2021 |
| 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 |
| 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 |
| 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 | 2 | 2024 |
| 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 | 1 | 2024 |
| Learning Physical Intuition for Robotic Manipulation OM Groth University of Oxford, 2021 | 1 | 2021 |
| Giving Robots a Physical Intuition O Groth Visual Geometry Group blog, 2019 | | 2019 |
Li Fei-FeiProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
