Martin Engelcke

Orcid: 0000-0001-8306-1236

According to our database1, Martin Engelcke authored at least 16 papers between 2017 and 2024.

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Bibliography

2024
Scaling Instructable Agents Across Many Simulated Worlds.
CoRR, 2024

2023
VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation.
IEEE Trans. Robotics, October, 2023

2022
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation.
IEEE Robotics Autom. Lett., 2022

Universal Approximation of Functions on Sets.
J. Mach. Learn. Res., 2022

Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Reconstruction Bottlenecks in Object-Centric Generative Models.
CoRR, 2020

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion.
CoRR, 2020

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
On the Limitations of Representing Functions on Sets.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
3D Semantic Segmentation With Submanifold Sparse Convolutional Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.
CoRR, 2017

Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


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