| Gaussian process latent variable models for human pose estimation CH Ek, PHS Torr, ND Lawrence Machine Learning for Multimodal Interaction: 4th International Workshop …, 2008 | 207 | 2008 |
| Manifold relevance determination A Damianou, C Ek, M Titsias, N Lawrence arXiv preprint arXiv:1206.4610, 2012 | 150 | 2012 |
| Factorized orthogonal latent spaces M Salzmann, CH Ek, R Urtasun, T Darrell Proceedings of the thirteenth international conference on artificial …, 2010 | 147 | 2010 |
| 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 | 139 | 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 | 103 | 2015 |
| 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 | 100 | 2012 |
| Ambiguity modeling in latent spaces CH Ek, J Rihan, PHS Torr, G Rogez, ND Lawrence Machine Learning for Multimodal Interaction: 5th International Workshop …, 2008 | 83 | 2008 |
| 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 | 80 | 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 | 79 | 2012 |
| Shared Gaussian process latent variable models CH Ek, P Lawrence Oxford Brookes University, 2009 | 70 | 2009 |
| Functional object descriptors for human activity modeling A Pieropan, CH Ek, H Kjellström 2013 IEEE International Conference on Robotics and Automation, 1282-1289, 2013 | 67 | 2013 |
| Neural translation of musical style I Malik, CH Ek arXiv preprint arXiv:1708.03535, 2017 | 57 | 2017 |
| 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 | 56 | 2013 |
| 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 | 52 | 2013 |
| 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 | 47 | 2012 |
| Deep neural networks as point estimates for deep Gaussian processes V Dutordoir, J Hensman, M van der Wilk, CH Ek, Z Ghahramani, ... Advances in Neural Information Processing Systems 34, 9443-9455, 2021 | 38 | 2021 |
| Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration GZ Gandler, CH Ek, M Björkman, R Stolkin, Y Bekiroglu Robotics and Autonomous Systems 126, 103433, 2020 | 37 | 2020 |
| 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 | 37 | 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 | 31 | 2014 |
| Scene understanding through autonomous interactive perception N Bergström, CH Ek, M Björkman, D Kragic Computer Vision Systems: 8th International Conference, ICVS 2011, Sophia …, 2011 | 30 | 2011 |
Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se
