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Staff

Maximilian Durner

DLR German Aerospace Center
Institute of Robotics and Mechatronics
Perception and Cognition
Oberpfaffenhofen
Muenchener Str. 20
82234 Wessling

telephone: +49 8153 28-1196
email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Research Interests

  • machine learning for 3d perception & robotic manipulation
    • deep learning
    • probabilistic graphical models
  • scene analysis and information fusion
    • object segmentation
    • object recognition
    • multi-modal fusion
    • dynamic expert selection
  • active learning (Live Long Learning)

Projects involved in

 

Publications

Conference Papers

M. Brucker, M. Durner, Z.-C. Marton, F. Balint-Benczedi, M. Sundermeyer, and R. Triebel, "6DoF Pose Estimation for Industrial Manipulation based on Synthetic Data", accepted for International Symposium on Experimental Robotics (ISER), Buenos Aires, Argentina, November 2018

C. Nissler, M. Durner, Z.-C. Marton, and R. Triebel, "Simultaneous Calibration and Mapping", accepted for International Symposium on Experimental Robotics (ISER), Buenos Aires, Argentina, November 2018

M. Sundermeyer, Z.-C. Marton, M. Durner, M. Brucker, and R. Triebel, "Implicit 3D Orientation Learning for 6D Object Detection from RGB Images", in Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany, September 2018, Best Paper Award [bib]

M. Brucker*, M. Durner*, R. AmbruĊŸ*, Z.-C. Márton, A. Wendt, P. Jensfelt, K. Arras, and R. Triebel, "Semantic Labeling of Indoor Environments from 3D RGB Maps", in Proceedings of the IEEE/RSJ International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May 2018 [bib] [dataset]

M. Ullrich, H. Ali, M. Durner, Z.-C. Marton, and R. Triebel, “Selecting CNN features for online learning of 3D objects", in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, September 2017 [bib]

M. Durner*, S. Kriegel*, S. Riedel, M. Brucker, Z.-C. Marton, F. Balint-Benczedi, and R. Triebel, “Experience-based optimization of robotic perception,” in Proceedings of the IEEE Int. Conf. on Advanced Robotics (ICAR), Hong-Kong, China, July 2017, Finalist for Best Paper Award [bib] [dataset]

F. Balint-Benczedi, Z.-C. Marton, M. Durner, and M. Beetz, "Storing and Retrieving Perceptual Episodic Memories for Long-term Manipulation Tasks", in Proceedings of the IEEE Int. Conf. on Advanced Robotics (ICAR), Hong-Kong, China, July 2017, Finalist for Best Paper Award [bib]

M. Durner, Z.-C. Marton, U. Hillenbrand, H. Ali, and M. Kleinsteuber, “Active classifier selection for RGB-D object categorization using a Markov Random Field ensemble method", in Proceedings of the 9th Int. Conf. on Machine Vision (ICMV 2016), Nice, France, March 2017, Best Oral Presentation [bib]

Workshop Papers

M. Sundermeyer, E. Y. Puang, Z.-C. Marton, M. Durner, and R. Triebel, "Learning Implicit Representations of 3D Object Orientations from RGB", ICRA Workshop: Representing a Complex World: Perception, Inference, and Learning for Joint Semantic, Geometric, and Physical Understanding, Brisbane, Australia, May 2018, Best Demo Award [pdf]

M. Durner, Z.-C. Marton, S. Kriegel, M. Brucker, S. Riedel, D. Meinzer, and R. Triebel, "Automated Benchmarks and Optimization of Perception Tasks", IROS 2nd Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics, Vancouver, Canada, September 2017


*The authors contributed equally and assert joint first authorship.

 

 

Last updated on Tuesday, 09 October 2018 by Maximilian Durner