| 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks B Graham, M Engelcke, L van der Maaten IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 1534 | 2018 |
| Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks M Engelcke, D Rao, DZ Wang, CH Tong, I Posner IEEE International Conference on Robotics and Automation (ICRA), 2017 | 679 | 2017 |
| GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations M Engelcke, AR Kosiorek, O Parker Jones, I Posner International Conference on Learning Representations (ICLR), 2020 | 275 | 2020 |
| On the Limitations of Representing Functions on Sets E Wagstaff, FB Fuchs, M Engelcke, I Posner, M Osborne International Conference on Machine Learning (ICML), 2019 | 211 | 2019 |
| GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement M Engelcke, OP Jones, I Posner Advances in Neural Information Processing Systems (NeurIPS), 2021 | 107 | 2021 |
| Analyzing spatially-sparse data based on submanifold sparse convolutional neural networks BT Graham, LJP van der Maaten, MH Engelcke US Patent 11,544,550, 2023 | 74 | 2023 |
| Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ... arXiv preprint arXiv:1710.06104, 2017 | 71 | 2017 |
| RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces S Ehrhardt, O Groth, A Monszpart, M Engelcke, I Posner, N Mitra, ... Advances in Neural Information Processing Systems (NeurIPS), 2020 | 54 | 2020 |
| Universal Approximation of Functions on Sets E Wagstaff, FB Fuchs, M Engelcke, MA Osborne, I Posner Journal of Machine Learning Research 23 (151), 1-56, 2022 | 53 | 2022 |
| A Neural Network and Method of Using a Neural Network to Detect Objects in an Environment M Engelcke, D Rao, DZ Wang, CH Tong, I Posner US Patent App. 16/334,815, 2020 | 21 | 2020 |
| APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation Y Wu, OP Jones, M Engelcke, I Posner IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 20 | 2021 |
| Reconstruction Bottlenecks in Object-Centric Generative Models M Engelcke, O Parker Jones, I Posner Workshop on Object-Oriented Learning at ICML 2020, 2020 | 19 | 2020 |
| Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation CM Hung, S Zhong, W Goodwin, OP Jones, M Engelcke, I Havoutis, ... IEEE Robotics and Automation Letters 7 (2), 5334-5341, 2022 | 12 | 2022 |
| First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion AL Mitchell, M Engelcke, O Parker Jones, D Surovik, I Havoutis, I Posner IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 12 | 2020 |
| Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion AL Mitchell, W Merkt, M Geisert, S Gangapurwala, M Engelcke, OP Jones, ... IEEE International Conference on Robotics and Automation (ICRA), 2022 | 6 | 2022 |
| VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation AL Mitchell, WX Merkt, M Geisert, S Gangapurwala, M Engelcke, ... IEEE Transactions on Robotics, 2023 | 5 | 2023 |
| Scaling Instructable Agents Across Many Simulated Worlds MA Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ... arXiv preprint arXiv:2404.10179, 2024 | 2* | 2024 |
| Efficient Object Detection and Discovery for Real-World Robotics Applications M Engelcke University of Oxford, 2020 | 1 | 2020 |
Ingmar PosnerOxford University在 robots.ox.ac.uk 的电子邮件经过验证
