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Technical University of Munich

Research Interests

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  • Image Processing
  • Object Recognition
  • Visual Attention
  • Object-based attention
  • Machine Learning
  • Convolutional Neural Networks
  • Deep Learning
A fast and scalable system for visual attention, object based attention and object recognition.

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Publications

2014

  • Andreas Holzbach and Gordon Cheng: A fast and scalable system for visual attention, object based attention and object recognition for humanoid robots. IEEE-RAS International Conference on Humanoid Robots, 2014 more… BibTeX Full text (mediaTUM)
  • Andreas Holzbach, Gordon Cheng: A Neuronal-inspired Computational Architecture for Spatio-Temporal Visual Processing. Journal of Biological Cybernetics, 2014 more… BibTeX
  • Andreas Holzbach, Gordon Cheng: A scalable and efficient Method for Salient Region Detection Using Sampled Template Collation. IEEE International Conference on Image Processing, 2014ICIP 2014 more… BibTeX Full text (mediaTUM)
  • Andreas Holzbach, Gordon Cheng: Sampled Template Collation for Simulating Visual Attention and Object-Based Selection. Bernstein Conference, 2014 more… BibTeX Full text (mediaTUM)
  • Gordon Cheng, Andreas Holzbach: A concurrent real-time biologically-inspired visual object recognition system. IEEE International Conference on Robotics and Automation (ICRA 2014) May 31 - June 7, 2014 Hong Kong, China , 2014 more… BibTeX Full text (mediaTUM)
  • Karinne Ramirez Amaro, Ewald Lutscher, Andreas Holzbach, Gordon Cheng: iCub@ICS-TUM: Semantic Reasoning, Constrained Manipulation and Humanoid Vision enable on the iCub. ICRA 2014, 2014 more… BibTeX

2013

  • Andreas Holzbach, Gordon Cheng: A Biologically-Motivated Approach to Online Learning of a Dictionary of Features from Natural Images for Computational Object Recognition. Bernstein Conference 2013, Tübingen, Germany, September 24 – 27. 2013 more… BibTeX Full text (mediaTUM)
  • Andreas Holzbach, Gordon Cheng: Enhancing Object Recognition for Humanoid Robots through Time-Awareness. IEEE-RAS International Conference on Humanoid Robots, 2013 more… BibTeX Full text (mediaTUM)
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