| Learning to detect unseen object classes by between-class attribute transfer CH Lampert, H Nickisch, S Harmeling IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 951-958, 2009 | 1884 | 2009 |
| Attribute-Based Classification for Zero-Shot Visual Object Categorization CH Lampert, H Nickisch, S Harmeling IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 453 …, 2014 | 1099 | 2014 |
| Beyond sliding windows: Object localization by efficient subwindow search CH Lampert, MB Blaschko, T Hofmann IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2008 | 938 | 2008 |
| iCaRL: Incremental Classifier and Representation Learning SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 641 | 2017 |
| Zero-shot learning-A comprehensive evaluation of the good, the bad and the ugly Y Xian, CH Lampert, B Schiele, Z Akata IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 | 515 | 2018 |
| Efficient subwindow search: A branch and bound framework for object localization CH Lampert, MB Blaschko, T Hofmann IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 31 …, 2009 | 458 | 2009 |
| Learning to localize objects with structured output regression M Blaschko, CH Lampert European Conference on Computer Vision (ECCV), 2008 | 397 | 2008 |
| Structured learning and prediction in computer vision S Nowozin, CH Lampert Foundations and Trends in Computer Graphics and Vision 6 (3-4), 2011 | 376 | 2011 |
| Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation A Kolesnikov, CH Lampert European Conference on Computer Vision (ECCV), 2016 | 331 | 2016 |
| Unsupervised object discovery: A comparison T Tuytelaars, CH Lampert, MB Blaschko, W Buntine International Journal of Computer Vision 88 (2), 284-302, 2010 | 230 | 2010 |
| Correlational spectral clustering MB Blaschko, CH Lampert 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 216 | 2008 |
| Learning to Rank Using Privileged Information V Sharmanska, N Quadrianto, CH Lampert International Conference on Computer Vision (ICCV), 2013 | 172 | 2013 |
| Movement templates for learning of hitting and batting J Kober, K Mülling, O Kromer, CH Lampert, B Schölkopf, J Peters Robotics and Automation (ICRA), 2010 IEEE International Conference on, 853-858, 2010 | 160 | 2010 |
| Curriculum Learning of Multiple Tasks A Pentina, V Sharmanska, CH Lampert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 138 | 2015 |
| Global connectivity potentials for random field models S Nowozin, CH Lampert 2009 IEEE Conference on Computer Vision and Pattern Recognition, 818-825, 2009 | 122 | 2009 |
| Document image dewarping using robust estimation of curled text lines A Ulges, CH Lampert, TM Breuel Eighth International Conference on Document Analysis and Recognition (ICDAR …, 2005 | 122 | 2005 |
| Learning Multi-View Neighborhood Preserving Projections N Quadrianto, CH Lampert International Conference on Machine Learning, 2011 | 117 | 2011 |
| Kernel methods in computer vision CH Lampert Foundations and Trends® in Computer Graphics and Vision 4 (3), 193-285, 2009 | 112 | 2009 |
| On parameter learning in CRF-based approaches to object class image segmentation S Nowozin, P Gehler, C Lampert European Conference on Computer Vision, 2010. ECCV 2010, 98-111, 2010 | 107 | 2010 |
| A PAC-Bayesian Bound for Lifelong Learning A Pentina, CH Lampert International Conference on Machine Learning (ICML), 2014 | 103 | 2014 |
Matthew BlaschkoKU LeuvenAdresse e-mail validée de esat.kuleuven.be
