Martin Engelcke

According to our database, Martin Engelcke authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation.

Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner

IEEE Trans. Robotics, October, 2023

2022

Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation.

Chia-Man Hung, Shaohong Zhong, Walter Goodwin, Oiwi Parker Jones, Martin Engelcke, Ioannis Havoutis, Ingmar Posner

IEEE Robotics Autom. Lett., 2022

Universal Approximation of Functions on Sets.

Edward Wagstaff, Fabian B. Fuchs, Martin Engelcke, Michael A. Osborne, Ingmar Posner

J. Mach. Learn. Res., 2022

Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion.

Alexander L. Mitchell, Wolfgang Merkt, Mathieu Geisert, Siddhant Gangapurwala, Martin Engelcke, Oiwi Parker Jones, Ioannis Havoutis, Ingmar Posner

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement.

Martin Engelcke, Oiwi Parker Jones, Ingmar Posner

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.

Yizhe Wu, Oiwi Parker Jones, Martin Engelcke, Ingmar Posner

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Reconstruction Bottlenecks in Object-Centric Generative Models.

Martin Engelcke, Oiwi Parker Jones, Ingmar Posner

CoRR, 2020

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

Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Ioannis Havoutis, Ingmar Posner

CoRR, 2020

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces.

Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi

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.

Alexander L. Mitchell, Martin Engelcke, Oiwi Parker Jones, David Surovik, Siddhant Gangapurwala, Oliwier Melon, Ioannis Havoutis, Ingmar Posner

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations.

Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

On the Limitations of Representing Functions on Sets.

Edward Wagstaff, Fabian Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

3D Semantic Segmentation With Submanifold Sparse Convolutional Networks.

Benjamin Graham, Martin Engelcke, Laurens van der Maaten

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

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

Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas

CoRR, 2017

Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks.

Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, Ingmar Posner

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017