Christian Plagemann

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Wolfram BurgardProfessor of Computer Science, Technical University of NurembergVerified email at utn.de
Varun GanapathiStanford UniversityVerified email at cs.stanford.edu
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnVerified email at igg.uni-bonn.de
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISVerified email at cs.tu-darmstadt.de
Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Jürgen SturmSenior Staff Software Engineering Manager at Intrinsic, an Alphabet companyVerified email at jsturm.de
Achim J. LilienthalProfessor of Computer Science at Technical University of Munich and Örebro UniversityVerified email at oru.se
Nicholas RoyMITVerified email at csail.mit.edu
Dominik JohoKUKAVerified email at kuka.com
Jongmin BaekStanford UniversityVerified email at cs.stanford.edu
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be
Fernando SecoLopsi group, Center for Automation and Robotics, CAR (CSIC-UPM)Verified email at csic.es
Slawomir Sander aka Slawomir GrzonkaPostDoc at Autonomous Intelligent Systems lab, University of FreiburgVerified email at informatik.uni-freiburg.de
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
Matthias LuberUniversity of FreiburgVerified email at informatik.uni-freiburg.de
Kai O. ArrasProfessor of Autonomous SystemsVerified email at ki.uni-stuttgart.de
Georg von WichertSiemens TechnologyVerified email at siemens.com
Rudolph TriebelGerman Aerospace Center (DLR) and Karlsruhe Institute of Technology (KIT)Verified email at kit.edu
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandVerified email at ethz.ch
Ulrich Reiser4am Robotics GmbHVerified email at 4am-robotics.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	565	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	474	2007
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	417	2010
Supplementing speech commands with gestures B Smus, AJ Kauffmann, C Plagemann US Patent 9,390,726, 2016	256	2016
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	231	2009
Real-time human pose tracking from range data V Ganapathi, C Plagemann, D Koller, S Thrun Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	206	2012
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	200	2010
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	127	2008
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	123	2009
Adaptive Non-Stationary Kernel Regression for Terrain Modeling. T Lang, C Plagemann, W Burgard Robotics: Science and Systems 6, 2007	116	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	107	2010
Learning gas distribution models using sparse Gaussian process mixtures C Stachniss, C Plagemann, AJ Lilienthal Autonomous Robots 26, 187-202, 2009	103	2009
Virtual touch user interface system and methods C Plagemann, H Dahlkamp, V Ganapathi US Patent App. 13/758,761, 2015	102	2015
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	100	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	99	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	90	2009
Self-initiated change of appearance for subjects in video and images AJ Kauffmann, C Plagemann US Patent 9,460,340, 2016	78	2016
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	75	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	67	2007
Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals. C Plagemann, D Fox, W Burgard IJCAI, 2185-2190, 2007	67	2007

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