Christian Plagemann

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Wolfram BurgardProfessor of Computer Science, University of FreiburgVerified email at informatik.uni-freiburg.de
Kristian KerstingProfessor of AI & Machine Learning, Co-Director of hessian.ai, TU Darmstadt, GermanyVerified email at cs.tu-darmstadt.de
Varun GanapathiStanford UniversityVerified email at cs.stanford.edu
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnVerified email at igg.uni-bonn.de
Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Jürgen SturmSenior Software Engineering Manager at Intrinsic, an Alphabet companyVerified email at jsturm.de
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
Achim J. LilienthalProfessor of Computer Science, AASS Mobile Robotics and Olfaction Lab, Örebro University, SwedenVerified email at oru.se
Nicholas RoyMITVerified email at csail.mit.edu
Dominik JohoKUKAVerified email at informatik.uni-freiburg.de
Vijay PradeepVirtana, Inc.Verified email at virtanatech.com
Jongmin BaekStanford UniversityVerified email at cs.stanford.edu
Fernando SecoLopsi group, CSICVerified email at csic.es
Rudolph TriebelDLR and Technical University MunichVerified email at in.tum.de
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandVerified email at ethz.ch
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
Slawomir Sander aka Slawomir GrzonkaPostDoc at Autonomous Intelligent Systems lab, University of FreiburgVerified email at informatik.uni-freiburg.de
Matthias LuberUniversity of FreiburgVerified email at informatik.uni-freiburg.de
Kai O. ArrasHead of Robotics Research, Bosch Corporate ResearchVerified email at cs.uni-freiburg.de
Georg von WichertSiemens TechnologyVerified email at siemens.com

Christian Plagemann

Google Research

Verified email at google.com - Homepage

Computer Vision Machine Learning HCI Robotics


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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	509	2010
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	395	2010
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	328	2007
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	208	2009
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	188	2010
Real-time human pose tracking from range data V Ganapathi, C Plagemann, D Koller, S Thrun European conference on computer vision, 738-751, 2012	178	2012
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	104	2009
Supplementing speech commands with gestures B Smus, AJ Kauffmann, C Plagemann US Patent 9,390,726, 2016	102	2016
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	98	2008
Adaptive Non-Stationary Kernel Regression for Terrain Modeling. T Lang, C Plagemann, W Burgard Robotics: Science and Systems 6, 2007	94	2007
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	89	2010
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	86	2008
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	80	2009
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	74	2010
Learning gas distribution models using sparse Gaussian process mixtures C Stachniss, C Plagemann, AJ Lilienthal Autonomous Robots 26 (2), 187-202, 2009	74	2009
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	65	2009
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. C Plagemann, K Kersting, P Pfaff, W Burgard Robotics: Science and Systems, 2007	64	2007
Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals. C Plagemann, D Fox, W Burgard IJCAI, 2185-2190, 2007	64	2007
Learning kinematic models for articulated objects J Sturm, V Pradeep, C Stachniss, C Plagemann, K Konolige, W Burgard Twenty-First International Joint Conference on Artificial Intelligence, 2009	53	2009
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space A Rottmann, C Plagemann, P Hilgers, W Burgard 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007	53	2007

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