Dipl.-Inf. Christian Vollmer
Vita & Research
since 02/2014 | software developer at NOVASIB GmbH |
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10/2009 - 10/2013 | Scientific staff member at the Department of Neuroinformatics and Cognitive Robotics. |
2008/2009 | Internship at the Robotics and State Estimation Lab, University of Washington. |
2004 - 2009 | Study of computer science at Ilmenau University of Technology. |
Research topics
My research interests include learning, classification, and long-term prediction of human motion.
I am member of the reserch project LEMON (refer to our project page).
Publications
Papers available for download on the lab's publication page
Journals
Christian Vollmer, Sven Hellbach, Julian Eggert, Horst-Michael Gross
Sparse Coding of Human Motion Trajectories with Non-negative Matrix Factorization
in: Neurocomputing, 124 (2014) 0, 22-32, Elsevier, doi: http://dx.doi.org/10.1016/j.neucom.2012.12.054
Conferences
2013
Vollmer, C., Gross, H.-M., Eggert, J.
Learning Features for Activity Recognition with Shift-invariant Sparse Coding.
in: Proc. 23. Int. Conf. on Artificial Neural Networks (ICANN 2013), Sofia, Bulgaria, LNCS 8131, pp. 367-374, Springer 2013
2012
Weinrich, C., Vollmer, C., Gross, H.-M.
Estimation of Upper Body Orientation for Socially Acceptable Navigation using an SVM Decision Tree on Monocular Images.
in: Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2012), Vilamoura, Portugal, pp. 2147-2152, IEEE 2012
Vollmer, C., Eggert, J. P. , Gross, H.-M.
Modeling Human Motion Trajectories by Sparse Activation of Motion Primitives Learned from Unpartitioned Data.
in: Proc. 35th Annual Conference on Artificial Intelligence (KI 2012), Saarbrücken, Germany, LNAI 7526, pp. 168-179, Springer 2012
Vollmer, C. , Eggert, J. P. , Gross H.-M.
Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives.
in: Proc. 22. Int. Conf. on Artificial Neural Networks (ICANN 2012), Lausanne, Switzerland, LNCS 7552, pp. 637-644, Springer 2012
2011
Hellbach, S. , Vollmer, C., Eggert, J. P., Groß , H.-M.
Learning Motion Primitives using Spatio-Temporal NMF.
in: Proc. of the Workshop New Challenges in Neural Computation 2011, Machine Learning Reports 05/2011, pp. 5-8
2010
Henry P., Vollmer, C., Ferris, B. , Fox , D.
Learning to Navigate Through Crowded Environments.
in: Proc. IEEE Int. Conf. on Robotics and Automation (ICRA 2010), Anchorage, Alaska, pp. 981-986, IEEE 2010
Vollmer, C., Schaffernicht, E., Gross, H.-M.
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning.
in: Proc. Int. Conf. on Artificial Neural Networks (ICANN 2010), Thessaloniki, Greece, LNCS 6353, pp. 190-199, Springer 2010