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Andreas Holzbach
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2010 – 2019
- 2016
- [b1]Andreas Holzbach:
Enabling Scalable and Efficient Visual Attention, Object-Based Attention and Object Recognition for Humanoid Robots - a Biologically-Inspired Approach. (Realisierung skalierbarer und effizienter visueller Aufmerksamkeit, objektbasierter Aufmerksamkeit und Objekterkennung in humanoiden Robotern - ein biologisch inspirierter Ansatz). Technical University of Munich, Germany, 2016 - 2014
- [j1]Andreas Holzbach, Gordon Cheng:
A neuron-inspired computational architecture for spatiotemporal visual processing - Real-time visual sensory integration for humanoid robots. Biol. Cybern. 108(3): 249-259 (2014) - [c8]Andreas Holzbach, Gordon Cheng:
A fast and scalable system for visual attention, object based attention and object recognition for humanoid robots. Humanoids 2014: 316-321 - [c7]Andreas Holzbach, Gordon Cheng:
A scalable and efficient method for salient region detection using sampled template collation. ICIP 2014: 1110-1114 - [c6]Andreas Holzbach, Gordon Cheng:
A concurrent real-time biologically-inspired visual object recognition system. ICRA 2014: 3201-3206 - 2010
- [c5]Zoltan-Csaba Marton, Dejan Pangercic, Radu Bogdan Rusu, Andreas Holzbach, Michael Beetz:
Hierarchical object geometric categorization and appearance classification for mobile manipulation. Humanoids 2010: 365-370
2000 – 2009
- 2009
- [c4]Radu Bogdan Rusu, Andreas Holzbach, Rosen Diankov, Gary R. Bradski, Michael Beetz:
Perception for mobile manipulation and grasping using active stereo. Humanoids 2009: 632-638 - [c3]Radu Bogdan Rusu, Andreas Holzbach, Michael Beetz, Gary R. Bradski:
Detecting and segmenting objects for mobile manipulation. ICCV Workshops 2009: 47-54 - [c2]Radu Bogdan Rusu, Andreas Holzbach, Nico Blodow, Michael Beetz:
Fast geometric point labeling using conditional random fields. IROS 2009: 7-12 - [c1]Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow, Andreas Holzbach, Michael Beetz:
Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments. IROS 2009: 3601-3608
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