متابعة
Martin Engelcke
Martin Engelcke
Google DeepMind
بريد إلكتروني تم التحقق منه على deepmind.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
18392018
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
7112017
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
3112020
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
2282019
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement‏
M Engelcke, OP Jones, I Posner‏
Advances in Neural Information Processing Systems (NeurIPS), 2021‏
1292021
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
862023
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
742022
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
742017
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
592020
Scaling Instructable Agents Across Many Simulated Worlds‏
M Abi Raad, A Ahuja, C Barros, F Besse, A Bolt, A Bolton, B Brownfield, ...‏
arXiv preprint arXiv:2404.10179, 2024‏
292024
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
222021
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
222020
Reconstruction Bottlenecks in Object-Centric Generative Models‏
M Engelcke, O Parker Jones, I Posner‏
Workshop on Object-Oriented Learning at ICML 2020, 2020‏
182020
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
162022
First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion‏
AL Mitchell, M Engelcke, O Parker Jones, D Surovik, S Gangapurwala, ...‏
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020‏
122020
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
82023
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
62022
Can foundation models actively gather information in interactive environments to test hypotheses?‏
NR Ke, DP Sawyer, H Soyer, M Engelcke, DP Reichert, DA Hudson, ...‏
arXiv preprint arXiv:2412.06438, 2024‏
22024
Efficient Object Detection and Discovery for Real-World Robotics Applications‏
M Engelcke‏
University of Oxford, 2020‏
12020
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–19