Markus Schoeler
Markus Schoeler
Dedrone Kassel
Bestätigte E-Mail-Adresse bei dedrone.com
Titel
Zitiert von
Zitiert von
Jahr
Voxel cloud connectivity segmentation-supervoxels for point clouds
J Papon, A Abramov, M Schoeler, F Worgotter
Proceedings of the IEEE conference on computer vision and pattern …, 2013
4612013
Object Partitioning using Local Convexity
S Stein, M Schoeler, J Papon, F Wörgötter
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
144*2013
Semantic pose using deep networks trained on synthetic RGB-D
J Papon, M Schoeler
Proceedings of the IEEE International Conference on Computer Vision, 774-782, 2015
742015
Convexity based object partitioning for robot applications
SC Stein, F Wörgötter, M Schoeler, J Papon, T Kulvicius
2014 IEEE International Conference on Robotics and Automation (ICRA), 3213-3220, 2014
532014
Bootstrapping the semantics of tools: Affordance analysis of real world objects on a per-part basis
M Schoeler, F Wörgötter
IEEE Transactions on Cognitive and Developmental Systems 8 (2), 84-98, 2015
422015
Constrained planar cuts-object partitioning for point clouds
M Schoeler, J Papon, F Worgotter
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
362015
A model-based approach to finding substitute tools in 3d vision data
P Abelha, F Guerin, M Schoeler
2016 IEEE International Conference on Robotics and Automation (ICRA), 2471-2478, 2016
342016
Recommending new tags using domain-ontologies
A Baruzzo, A Dattolo, N Pudota, C Tasso
2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2009
272009
Systems, methods, apparatuses, and devices for identifying and tracking unmanned aerial vehicles via a plurality of sensors
R Seeber, I Seebach, H Meyer, M Schoeler, K Baumgart, C Scheibe, ...
US Patent 9,805,273, 2017
172017
Fast self-supervised on-line training for object recognition specifically for robotic applications
M Schoeler, SC Stein, J Papon, A Abramov, F Wörgötter
2014 International Conference on Computer Vision Theory and Applications …, 2014
122014
Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles
R Seeber, I Seebach, H Meyer, M Schoeler, K Baumgart, C Scheibe, ...
US Patent 10,025,991, 2018
9*2018
Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles
R Seeber, I Seebach, H Meyer, M Schoeler, K Baumgart, C Scheibe, ...
US Patent 10,229,329, 2019
6*2019
Methods of CO2-assisted reactive extrusion
J Royer, JM DeSimone, GW Roberts, SA Khan
US Patent 6,900,267, 2005
62005
Systems, methods, apparatuses, and devices for identifying and tracking unmanned aerial vehicles via a plurality of sensors
R Seeber, I Seebach, H Meyer, M Schoeler, K Baumgart, C Scheibe, ...
US Patent 10,025,993, 2018
52018
Spatially stratified correspondence sampling for real-time point cloud tracking
J Papon, M Schoeler, F Worgotter
2015 IEEE Winter Conference on Applications of Computer Vision, 124-131, 2015
32015
Unsupervised generation of context-relevant training-sets for visual object recognition employing multilinguality
M Schoeler, F Worgotter, T Kulvicius, J Papon
2015 IEEE Winter Conference on Applications of Computer Vision, 805-812, 2015
22015
Automated generation of training sets for object recognition in robotic applications
M Schoeler, F Wörgötter, MJ Aein, T Kulvicius
2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region …, 2014
22014
Part-driven Visual Perception of 3D Objects.
F Gressmann, T Lüddecke, T Ivanovska, M Schoeler, F Wörgötter
VISIGRAPP (5: VISAPP), 370-377, 2017
12017
Testing piaget's ideas on robots: Assimilation and accommodation using the semantics of actions
EE Aksoy, M Schoeler, F Wörgötter
4th International Conference on Development and Learning and on Epigenetic …, 2014
12014
Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles
R Seeber, I Seebach, H Meyer, M Schoeler, K Baumgart, C Scheibe, ...
US Patent App. 16/819,401, 2020
2020
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