Christian Plagemann
Christian Plagemann
Google Research
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Real time motion capture using a single time-of-flight camera
V Ganapathi, C Plagemann, D Koller, S Thrun
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
4622010
Real-time identification and localization of body parts from depth images
C Plagemann, V Ganapathi, D Koller, S Thrun
2010 IEEE International Conference on Robotics and Automation, 3108-3113, 2010
3562010
Most likely heteroscedastic Gaussian process regression
K Kersting, C Plagemann, P Pfaff, W Burgard
Proceedings of the 24th international conference on Machine learning, 393-400, 2007
2862007
Modeling RFID signal strength and tag detection for localization and mapping
D Joho, C Plagemann, W Burgard
2009 IEEE International Conference on Robotics and Automation, 3160-3165, 2009
2012009
Upsampling range data in dynamic environments
J Dolson, J Baek, C Plagemann, S Thrun
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1682010
Real-time human pose tracking from range data
V Ganapathi, C Plagemann, D Koller, S Thrun
European conference on computer vision, 738-751, 2012
1522012
Probabilistic situation recognition for vehicular traffic scenarios
D Meyer-Delius, C Plagemann, W Burgard
2009 IEEE International Conference on Robotics and Automation, 459-464, 2009
962009
Adaptive Non-Stationary Kernel Regression for Terrain Modeling.
T Lang, C Plagemann, W Burgard
Robotics: Science and Systems 6, 2007
902007
Nonstationary Gaussian process regression using point estimates of local smoothness
C Plagemann, K Kersting, W Burgard
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
892008
Glucose metabolism determines resistance of cancer cells to bioenergetic crisis after cytochrome‐c release
HJ Huber, H Dussmann, SM Kilbride, M Rehm, JHM Prehn
Molecular systems biology 7 (1), 470, 2011
86*2011
Improving RFID-based indoor positioning accuracy using Gaussian processes
F Seco, C Plagemann, AR Jiménez, W Burgard
2010 International Conference on Indoor Positioning and Indoor Navigation, 1-8, 2010
812010
Learning predictive terrain models for legged robot locomotion
C Plagemann, S Mischke, S Prentice, K Kersting, N Roy, W Burgard
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008
812008
Unsupervised discovery of object classes from range data using latent Dirichlet allocation.
F Endres, C Plagemann, C Stachniss, W Burgard
Robotics: Science and Systems 2, 113120, 2009
772009
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving
JZ Kolter, C Plagemann, DT Jackson, AY Ng, S Thrun
2010 IEEE International Conference on Robotics and Automation, 839-845, 2010
722010
Learning gas distribution models using sparse Gaussian process mixtures
C Stachniss, C Plagemann, AJ Lilienthal
Autonomous Robots 26 (2-3), 187-202, 2009
652009
Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals.
C Plagemann, D Fox, W Burgard
IJCAI, 2185-2190, 2007
642007
Body schema learning for robotic manipulators from visual self-perception
J Sturm, C Plagemann, W Burgard
Journal of Physiology-Paris 103 (3-5), 220-231, 2009
622009
Supplementing speech commands with gestures
B Smus, AJ Kauffmann, C Plagemann
US Patent 9,390,726, 2016
612016
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders.
C Plagemann, K Kersting, P Pfaff, W Burgard
Robotics: Science and Systems, 2007
612007
Learning Kinematic Models for Articulated Objects.
J Sturm, V Pradeep, C Stachniss, C Plagemann, K Konolige, W Burgard
IJCAI, 1851-1856, 2009
502009
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