Publications
2012
R. Detry, C.H. Ek, M. Madry, J. Piater, D. Kragic. Generalizing Grasps Across Partly Similar Objects. In ICRA: IEEE International Conference on Robotics and Automation, May 2012 [To Appear]
A. Davies, C. H. Ek, C. Dalton and N. Campbell. Generating 3D Morphable Model Parameters for Facial Tracking: Factorising Identity and Expression. In GRAPP: International Conference on Computer Graphics Theory and Applications, February 2012 [To Appear]
2011
N. Bergström, C. H. Ek, M. Björkman and D. Kragic. Scene Understanding through Interactive Perception. In ICVS: International Conference on Vision Systems, October 2011 [To Appear]
A. Davies, C. H. Ek, C. Dalton and N. Campbell. Facial Movement Based Recognition. In Mirage: 5th International Conference on Computer Vision/Computer Graphics Collaboration Techniques and Applications, October 2011
G. Luo, N. Bergström, C. H. Ek, and D. Kragic. Representing Actions with Kernels. In IROS: IEEE/RSJ International Conference on Intelligent Robots and Systems, September 2011 [To Appear]
D. Song, C. H. Ek, K. Huebner and D. Kragic. Embodiment-Specific Representation of Robot Grasping using Graphical Models and Latent-Space Discretisation. In IROS: IEEE/RSJ International Conference on Intelligent Robots and Systems, September 2011 [To Appear]
C. H. H. Ek and D. Kragic, The importance of structure. In ISRR: International Symposium on Robotic Research, August, 2011. [PDF]
N. Bergström, Y. Yamakawa, T. Senoo, C.H. Ek, M. Ishikawa. State Recognition of Deformable Objects Using Shape Context. In 29th Annual Conference of the Robotics Society of Japan, 2011. [PDF]
C. H. Ek, D. Song and D. Kragic. Learning Conditional Structures in Graphical Models from a Large Set of Observation Streams through efficient Discretisation. In ICRA: IEEE International Conference on Robotics and Automation, Manipulation under Uncertainty, May 2011 [PDF]
D. Song, C. H. Ek, K. Huebner and D. Kragic. Multivariate Discretization for Bayesian Network Structure Learning in Robot Grasping. In ICRA: IEEE International Conference on Robotics and Automation, May 2011 [PDF]
2010
C. H. Ek, D. Song, K. Huebner and D. Kragic. Task modelling in Imitation Learning using Latent Variable Models. In IEEE-RAS International Conference on Humanoid Robotics, December 2010 [PDF]
C. H. Ek, D. Song, K. Huebner and D. Kragic. Exploring Affordances in Robot Grasping through Latent Structure Representation, In Vision for Cognitive Tasks, ECCV September 2010 [PDF]
M. Salzmann, C. H. Ek, R. Urtasun, and T. Darrell. Factorized orthogonal latent spaces. In AISTATS: International Conference on Artificial Intelligence and Statistics, May 2010. [PDF]
M. Salzmann, C. H. Ek, R. Urtasun, and T. Darrell. FOLS: Factorized orthogonal latent spaces. In Learning Workshop, Snowbird, April 2010 [PDF]
2009
C. H. Ek, P. Jaeckel, N. Campbell, N. Lawrence, and C. Melhuish. Shared Gaussian Process Latent Variable Models for Handling Ambiguous Facial Expressions. In AIP Conference Proceedings, 2009. [PDF]
2008
C. H. Ek, P. H. Torr, and N. D. Lawrence. GP-LVM for data consolidation. Learning from Multiple Sources, NIPS, 2008. [PDF]
C. H. Ek, P. H. Torr, and N. D. Lawrence. Ambiguity modelling in latent spaces. In MLMI: International Workshop on Machine Learning for Multimodal Interaction, 2008. [PDF]
2007
C. H. Ek, P. H. Torr, and N. D. Lawrence. Gaussian process latent variable models for human pose estimation. In MLMI: Multimodal Interaction and Related Machine Learning Algorithms, June. 2007. [PDF]
Thesis
C. H. Ek. Shared Gaussian Process Latent Variable Models. PhD thesis, Oxford Brookes University, 2009. [PDF]
Technical Report
Marin Saric, C.H. Ek and D. Kragic. Dimensionality Reduction via Euclidean Distance Embeddings, 2011. [PDF]
Talks
Eurocon 2011, Invited Talk. Robotics: What is the holdup, June 2011. [PDF]
University of Göttingen, Invited Talk. Data representation in Robotics, February 2011. [PDF]
Uppsala University, Invited Talk. Graphical Models for Grasping, October 2010. [PDF]
ECCV - Vision for Cognitive Tasks. Exploring Affordances in Robotic Grasping through Latent Structure Representation, September 2010. [PDF]
KTH Stockholm, Departmental Seminar. Shared Gaussian Process Latent Variable Models. August 2009. [PDF]
University of Bristol, Departmental Seminar. The Art of Realtime - an introduction to the demoscene. June 2008 [PDF]
University of Bristol, Departmental Seminar. Shared Gaussian Process Latent Variable Models. October 2007. [PDF]
University of Manchester, Reading Group. Flow Networks and Graph Cuts. 2007. [PDF]
University of Manchester, ML Lunch. GP-LVM for Human Pose Estimation. 2006. [PDF]
Tutorials
University of Oxford, Spectral Dimensionality Reduction. August 2007. [PDF],[code]
Conference Presentations
IROS, Representing Actions with Kernels, September 2011. [PDF]
IROS, Robotics: What is the holdup, September 2011. [PDF]