Markus Schoeler

According to our database, Markus Schoeler authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data.

Jialong Wu, Mirko Meuter, Markus Schoeler, Matthias Rottmann

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Semantic Segmentation of Radar Detections using Convolutions on Point Clouds.

Marco Braun, Alessandro Cennamo, Markus Schoeler, Kevin Kollek, Anton Kummert

CoRR, 2023

2017

Part-driven Visual Perception of 3D Objects.

Frithjof Gressmann, Timo Lüddecke, Tatyana Ivanovska, Markus Schoeler, Florentin Wörgötter

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

2016

Bootstrapping the Semantics of Tools: Affordance Analysis of Real World Objects on a Per-part Basis.

Markus Schoeler, Florentin Wörgötter

IEEE Trans. Cogn. Dev. Syst., 2016

A model-based approach to finding substitute tools in 3D vision data.

Paulo Abelha, Frank Guerin, Markus Schoeler

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Unsupervised Generation of Context-Relevant Training-Sets for Visual Object Recognition Employing Multilinguality.

Markus Schoeler, Florentin Wörgötter, Tomas Kulvicius, Jeremie Papon

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Spatially Stratified Correspondence Sampling for Real-Time Point Cloud Tracking.

Jeremie Papon, Markus Schoeler, Florentin Wörgötter

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Semantic Pose Using Deep Networks Trained on Synthetic RGB-D.

Jeremie Papon, Markus Schoeler

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Constrained planar cuts - Object partitioning for point clouds.

Markus Schoeler, Jeremie Papon, Florentin Wörgötter

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Fast Self-supervised On-line Training for Object Recognition Specifically for Robotic Applications.

Markus Schoeler, Simon Christoph Stein, Jeremie Papon, Alexey Abramov, Florentin Wörgötter

Proceedings of the VISAPP 2014, 2014

Automated generation of training sets for object recognition in robotic applications.

Markus Schoeler, Florentin Wörgötter, Mohamad Javad Aein, Tomas Kulvicius

Proceedings of the 23rd International Conference on Robotics in Alpe-Adria-Danube Region, 2014

Convexity based object partitioning for robot applications.

Simon Christoph Stein, Florentin Wörgötter, Markus Schoeler, Jeremie Papon, Tomas Kulvicius

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Testing piaget's ideas on robots: Assimilation and accommodation using the semantics of actions.

Eren Erdal Aksoy, Markus Schoeler, Florentin Wörgötter

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Object Partitioning Using Local Convexity.

Simon Christoph Stein, Markus Schoeler, Jeremie Papon, Florentin Wörgötter

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds.

Jeremie Papon, Alexey Abramov, Markus Schoeler, Florentin Wörgötter

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013