Tutorial: Point cloud library: Three-dimensional object recognition and 6 dof pose estimation A Aldoma, ZC Marton, F Tombari, W Wohlkinger, C Potthast, B Zeisl, ... IEEE Robotics & Automation Magazine 19 (3), 80-91, 2012 | 549 | 2012 |
Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation K Park, T Patten, M Vincze Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 529 | 2019 |
Ensemble of shape functions for 3D object classification W Wohlkinger, M Vincze 2011 IEEE international conference on robotics and biomimetics, 2987-2992, 2011 | 479 | 2011 |
Hobbit, a care robot supporting independent living at home: First prototype and lessons learned D Fischinger, P Einramhof, K Papoutsakis, W Wohlkinger, P Mayer, ... Robotics and autonomous systems 75, 60-78, 2016 | 472 | 2016 |
CAD-model recognition and 6DOF pose estimation using 3D cues A Aldoma, M Vincze, N Blodow, D Gossow, S Gedikli, RB Rusu, G Bradski 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 392 | 2011 |
Multiobjective optimization on a limited budget of evaluations using model-assisted-metric selection W Ponweiser, T Wagner, D Biermann, M Vincze International conference on parallel problem solving from nature, 784-794, 2008 | 351 | 2008 |
A fast stereo matching algorithm suitable for embedded real-time systems M Humenberger, C Zinner, M Weber, W Kubinger, M Vincze Computer Vision and Image Understanding 114 (11), 1180-1202, 2010 | 280 | 2010 |
The strands project: Long-term autonomy in everyday environments N Hawes, C Burbridge, F Jovan, L Kunze, B Lacerda, L Mudrova, J Young, ... IEEE Robotics & Automation Magazine 24 (3), 146-156, 2017 | 263 | 2017 |
A global hypotheses verification method for 3d object recognition A Aldoma, F Tombari, L Di Stefano, M Vincze Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 232 | 2012 |
OUR-CVFH–oriented, unique and repeatable clustered viewpoint feature histogram for object recognition and 6DOF pose estimation A Aldoma, F Tombari, RB Rusu, M Vincze Pattern Recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria …, 2012 | 220 | 2012 |
Segmentation of unknown objects in indoor environments A Richtsfeld, T Mörwald, J Prankl, M Zillich, M Vincze 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 207 | 2012 |
Multimodal cue integration through hypotheses verification for rgb-d object recognition and 6dof pose estimation A Aldoma, F Tombari, J Prankl, A Richtsfeld, L Di Stefano, M Vincze 2013 IEEE international conference on robotics and automation, 2104-2111, 2013 | 188 | 2013 |
3dnet: Large-scale object class recognition from cad models W Wohlkinger, A Aldoma, RB Rusu, M Vincze 2012 IEEE international conference on robotics and automation, 5384-5391, 2012 | 186 | 2012 |
A laser tracking system to measure position and orientation of robot end effectors under motion M Vincze, JP Prenninger, H Gander The International Journal of Robotics Research 13 (4), 305-314, 1994 | 175 | 1994 |
Fast ego-motion estimation with multi-rate fusion of inertial and vision L Armesto, J Tornero, M Vincze The International Journal of Robotics Research 26 (6), 577-589, 2007 | 166 | 2007 |
Multimodal integration of emotional signals from voice, body, and context: Effects of (in) congruence on emotion recognition and attitudes towards robots C Tsiourti, A Weiss, K Wac, M Vincze International Journal of Social Robotics 11, 555-573, 2019 | 147 | 2019 |
Fast semantic segmentation of 3D point clouds using a dense CRF with learned parameters D Wolf, J Prankl, M Vincze 2015 IEEE International conference on robotics and automation (ICRA), 4867-4873, 2015 | 123 | 2015 |
Towards a definition of educational robotics JM Angel-Fernandez, M Vincze Austrian Robotics Workshop 2018 37, 2018 | 118 | 2018 |
Clustered multiple generalized expected improvement: A novel infill sampling criterion for surrogate models W Ponweiser, T Wagner, M Vincze 2008 IEEE congress on evolutionary computation (IEEE world congress on …, 2008 | 115 | 2008 |
EasyLabel: A semi-automatic pixel-wise object annotation tool for creating robotic RGB-D datasets M Suchi, T Patten, D Fischinger, M Vincze 2019 International Conference on Robotics and Automation (ICRA), 6678-6684, 2019 | 113 | 2019 |