| Discriminative subspace clustering V Zografos, L Ellis, R Mester Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 39 | 2013 |
| Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features D Andreasen, JM Edmund, V Zografos, BH Menze, K Van Leemput Medical Imaging 2016: Image Processing 9784, 323-330, 2016 | 30 | 2016 |
| Fast and accurate motion segmentation using linear combination of views V Zografos, K Nordberg 2011 22nd British Machine Vision Conference, BMVC 2011; Dundee; United …, 2011 | 21 | 2011 |
| Hierarchical multi-organ segmentation without registration in 3D abdominal CT images V Zografos, A Valentinitsch, M Rempfler, F Tombari, B Menze Medical Computer Vision: Algorithms for Big Data: International Workshop …, 2016 | 20 | 2016 |
| Fast segmentation of sparse 3d point trajectories using group theoretical invariants V Zografos, R Lenz, E Ringaby, M Felsberg, K Nordberg Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 16 | 2015 |
| Online learning for fast segmentation of moving objects L Ellis, V Zografos Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 15 | 2013 |
| Sparse motion segmentation using multiple six-point consistencies V Zografos, K Nordberg, L Ellis Computer Vision–ACCV 2010 Workshops: ACCV 2010 International Workshops …, 2011 | 11 | 2011 |
| Pose-invariant 3d object recognition using linear combination of 2d views and evolutionary optimisation V Zografos, BF Buxton 2007 International Conference on Computing: Theory and Applications (ICCTA …, 2007 | 10 | 2007 |
| The Weibull manifold in low-level image processing: An application to automatic image focusing V Zografos, R Lenz, M Felsberg Image and Vision Computing 31 (5), 401-417, 2013 | 8 | 2013 |
| Multibody motion segmentation using the geometry of 6 points in 2d images K Nordberg, V Zografos 2010 20th International Conference on Pattern Recognition, 1783-1787, 2010 | 7 | 2010 |
| Affine invariant, model-based object recognition using robust metrics and Bayesian statistics V Zografos, BF Buxton Image Analysis and Recognition: Second International Conference, ICIAR 2005 …, 2005 | 6 | 2005 |
| Spatio-chromatic image content descriptors and their analysis using extreme value theory V Zografos, R Lenz Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May …, 2011 | 5 | 2011 |
| Dihedral color filtering R Lenz, V Zografos, M Solli Advanced Color Image Processing and Analysis, 119-145, 2013 | 4 | 2013 |
| Comparison of optimisation algorithms for deformable template matching V Zografos Advances in Visual Computing: 5th International Symposium, ISVC 2009, Las …, 2009 | 4 | 2009 |
| Pose-invariant, model-based object recognition, using linear combination of views and Bayesian statistics V Zografos UCL (University College London), 2009 | 4 | 2009 |
| Flexible template and model matching using intensity BF Buxton, V Zografos Digital Image Computing: Techniques and Applications (DICTA'05), 64-64, 2005 | 4 | 2005 |
| Density driven diffusion F Åström, V Zografos, M Felsberg Image Analysis: 18th Scandinavian Conference, SCIA 2013, Espoo, Finland …, 2013 | 3 | 2013 |
| Introduction to spectral clustering V Zografos, K Nordberg Physics Reports 17, 321-330, 2012 | 3 | 2012 |
| An online algorithm for efficient and temporally consistent subspace clustering V Zografos, K Krajsek, B Menze Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 1 | 2017 |
| 3D planar patch extraction from stereo using probabilistic region growing V Zografos arXiv preprint arXiv:1406.7112, 2014 | 1 | 2014 |
Klas NordbergLinköping UniversityVerified email at isy.liu.se
