Carl Henrik Ek

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	All	Since 2016
Citations	1557	949
h-index	20	17
i10-index	33	27

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2008200920102011201220132014201520162017201820192020202111 22 28 48 58 120 165 145 214 185 161 206 177 6

Co-authors

Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se
Hedvig Kjellström (Sidenbladh)Professor at KTH Royal Institute of Technology, Lead AI Scientist at Silo AI, SwedenVerified email at kth.se
Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
Renaud DetryNASA Jet Propulsion LaboratoryVerified email at jpl.nasa.gov
Neill D.F. CampbellRoyal Society Industry Fellow and Reader (Associate Professor), University of BathVerified email at bath.ac.uk
Marianna MadryPhD Student at the Centre for Autonomous Systems, KTH, Stockholm, SwedenVerified email at csc.kth.se
Andreas DamianouAmazon.comVerified email at amazon.com
Philip TorrProfessor, University of OxfordVerified email at eng.ox.ac.uk
Kai HübnerFormer Researcher at the Computer Vision and Active Perception Lab (CVAP), KTH, Stockholm, SwedenVerified email at kth.se
Javier RomeroPrincipal Scientist, AmazonVerified email at amazon.com
Florian T. PokornyAssociate Professor, KTH Royal Institute of TechnologyVerified email at kth.se
Erik BodinPhD student at University of BristolVerified email at bristol.ac.uk
Ieva KazlauskaiteUniversity of CambridgeVerified email at cam.ac.uk
Alessandro PieropanHead of products @ Univrses ABVerified email at kth.se
Thomas Feixadidas FUTURE teamVerified email at adidas.com
Yasemin BekiroğluChalmers University of Technology, University College London (UCL)Verified email at chalmers.se
Cheng ZhangMicrosoft Research, CambridgeVerified email at kth.se
Martin HjelmPhD Student KTHVerified email at kth.se
Markus KaiserTechnical University of Munich, Siemens AGVerified email at in.tum.de
Niklas BergströmUniversity of TokyoVerified email at ipc.i.u-tokyo.ac.jp

Carl Henrik Ek

University of Cambridge

Verified email at cam.ac.uk - Homepage

Machine Learning


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Gaussian process latent variable models for human pose estimation CH Ek, PHS Torr, ND Lawrence International workshop on machine learning for multimodal interaction, 132-143, 2007	175	2007
Manifold relevance determination A Damianou, C Ek, M Titsias, N Lawrence arXiv preprint arXiv:1206.4610, 2012	124	2012
Learning a dictionary of prototypical grasp-predicting parts from grasping experience R Detry, CH Ek, M Madry, D Kragic 2013 IEEE International Conference on Robotics and Automation, 601-608, 2013	110	2013
Factorized orthogonal latent spaces M Salzmann, CH Ek, R Urtasun, T Darrell Proceedings of the Thirteenth International Conference on Artificial …, 2010	104	2010
Ambiguity modeling in latent spaces CH Ek, J Rihan, PHS Torr, G Rogez, ND Lawrence International workshop on Machine Learning for Multimodal Interaction, 62-73, 2008	76	2008
A metric for comparing the anthropomorphic motion capability of artificial hands T Feix, J Romero, CH Ek, HB Schmiedmayer, D Kragic IEEE transactions on robotics 29 (1), 82-93, 2012	75	2012
Multivariate discretization for bayesian network structure learning in robot grasping D Song, CH Ek, K Huebner, D Kragic 2011 IEEE International Conference on Robotics and Automation, 1944-1950, 2011	65	2011
Generalizing grasps across partly similar objects R Detry, CH Ek, M Madry, J Piater, D Kragic 2012 IEEE International Conference on Robotics and Automation, 3791-3797, 2012	59	2012
Functional object descriptors for human activity modeling A Pieropan, CH Ek, H Kjellström 2013 IEEE International Conference on Robotics and Automation, 1282-1289, 2013	53	2013
Task-based robot grasp planning using probabilistic inference D Song, CH Ek, K Huebner, D Kragic IEEE transactions on robotics 31 (3), 546-561, 2015	51	2015
Shared Gaussian process latent variable models CH Ek, P Lawrence Oxford Brookes University, 2009	51	2009
Non-parametric hand pose estimation with object context J Romero, H Kjellström, CH Ek, D Kragic Image and Vision Computing 31 (8), 555-564, 2013	43	2013
Extracting postural synergies for robotic grasping J Romero, T Feix, CH Ek, H Kjellström, D Kragic IEEE Transactions on Robotics 29 (6), 1342-1352, 2013	39	2013
Neural translation of musical style I Malik, CH Ek arXiv preprint arXiv:1708.03535, 2017	36	2017
Improving generalization for 3d object categorization with global structure histograms M Madry, CH Ek, R Detry, K Hang, D Kragic 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	35	2012
Scene understanding through autonomous interactive perception N Bergström, CH Ek, M Björkman, D Kragic International Conference on Computer Vision Systems, 153-162, 2011	24	2011
Active exploration using gaussian random fields and gaussian process implicit surfaces S Caccamo, Y Bekiroglu, CH Ek, D Kragic 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016	23	2016
Recognizing object affordances in terms of spatio-temporal object-object relationships A Pieropan, CH Ek, H Kjellström 2014 IEEE-RAS International Conference on Humanoid Robots, 52-58, 2014	23	2014
Inferring hand pose: A comparative study of visual shape features A Thippur, CH Ek, H Kjellström 2013 10th IEEE International Conference and Workshops on Automatic Face and …, 2013	22	2013
Representing actions with kernels G Luo, N Bergström, CH Ek, D Kragic 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	21	2011

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