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Markus Schoeler
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2020 – today
- 2024
- [i3]Jialong Wu, Mirko Meuter, Markus Schoeler, Matthias Rottmann:
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data. CoRR abs/2406.10600 (2024) - 2023
- [i2]Marco Braun, Alessandro Cennamo, Markus Schoeler, Kevin Kollek, Anton Kummert:
Semantic Segmentation of Radar Detections using Convolutions on Point Clouds. CoRR abs/2305.12775 (2023)
2010 – 2019
- 2017
- [c12]Frithjof Gressmann, Timo Lüddecke, Tatyana Ivanovska, Markus Schoeler, Florentin Wörgötter:
Part-driven Visual Perception of 3D Objects. VISIGRAPP (5: VISAPP) 2017: 370-377 - 2016
- [j1]Markus Schoeler, Florentin Wörgötter:
Bootstrapping the Semantics of Tools: Affordance Analysis of Real World Objects on a Per-part Basis. IEEE Trans. Cogn. Dev. Syst. 8(2): 84-98 (2016) - [c11]Paulo Abelha, Frank Guerin
, Markus Schoeler:
A model-based approach to finding substitute tools in 3D vision data. ICRA 2016: 2471-2478 - 2015
- [c10]Markus Schoeler, Jeremie Papon, Florentin Wörgötter:
Constrained planar cuts - Object partitioning for point clouds. CVPR 2015: 5207-5215 - [c9]Jeremie Papon, Markus Schoeler:
Semantic Pose Using Deep Networks Trained on Synthetic RGB-D. ICCV 2015: 774-782 - [c8]Jeremie Papon, Markus Schoeler, Florentin Wörgötter:
Spatially Stratified Correspondence Sampling for Real-Time Point Cloud Tracking. WACV 2015: 124-131 - [c7]Markus Schoeler, Florentin Wörgötter, Tomas Kulvicius, Jeremie Papon:
Unsupervised Generation of Context-Relevant Training-Sets for Visual Object Recognition Employing Multilinguality. WACV 2015: 805-812 - [i1]Jeremie Papon, Markus Schoeler:
Semantic Pose using Deep Networks Trained on Synthetic RGB-D. CoRR abs/1508.00835 (2015) - 2014
- [c6]Simon Christoph Stein, Markus Schoeler, Jeremie Papon, Florentin Wörgötter:
Object Partitioning Using Local Convexity. CVPR 2014: 304-311 - [c5]Eren Erdal Aksoy
, Markus Schoeler, Florentin Wörgötter:
Testing piaget's ideas on robots: Assimilation and accommodation using the semantics of actions. ICDL-EPIROB 2014: 107-108 - [c4]Simon Christoph Stein, Florentin Wörgötter, Markus Schoeler, Jeremie Papon, Tomas Kulvicius:
Convexity based object partitioning for robot applications. ICRA 2014: 3213-3220 - [c3]Markus Schoeler, Florentin Wörgötter, Mohamad Javad Aein, Tomas Kulvicius:
Automated generation of training sets for object recognition in robotic applications. RAAD 2014: 1-7 - [c2]Markus Schoeler, Simon Christoph Stein, Jeremie Papon, Alexey Abramov, Florentin Wörgötter:
Fast Self-supervised On-line Training for Object Recognition Specifically for Robotic Applications. VISAPP (2) 2014: 94-103 - 2013
- [c1]Jeremie Papon, Alexey Abramov, Markus Schoeler, Florentin Wörgötter:
Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds. CVPR 2013: 2027-2034
Coauthor Index
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