| iCaRL: Incremental Classifier and Representation Learning SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 3783 | 2017 |
| 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 | 2903 | 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 | 1890 | 2014 |
| 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 | 1714 | 2018 |
| 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 | 1027 | 2008 |
| Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation A Kolesnikov, CH Lampert European Conference on Computer Vision (ECCV), 2016 | 862 | 2016 |
| 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 | 503 | 2009 |
| Structured learning and prediction in computer vision S Nowozin, CH Lampert Foundations and Trends in Computer Graphics and Vision 6 (3-4), 2011 | 477 | 2011 |
| Learning to localize objects with structured output regression M Blaschko, CH Lampert European Conference on Computer Vision (ECCV), 2008 | 466 | 2008 |
| Towards Understanding Knowledge Distillation M Phuong, CH Lampert International Conference on Machine Learning (ICML), 5142-5151, 2019 | 284 | 2019 |
| Curriculum Learning of Multiple Tasks A Pentina, V Sharmanska, CH Lampert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 277 | 2015 |
| Correlational spectral clustering MB Blaschko, CH Lampert 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 272 | 2008 |
| Learning Equations for Extrapolation and Control SS Sahoo, CH Lampert, G Martius International Conference on Machine Learning (ICML), 2018 | 256 | 2018 |
| Unsupervised object discovery: A comparison T Tuytelaars, CH Lampert, MB Blaschko, W Buntine International Journal of Computer Vision 88 (2), 284-302, 2010 | 252 | 2010 |
| Learning to Rank Using Privileged Information V Sharmanska, N Quadrianto, CH Lampert International Conference on Computer Vision (ICCV), 2013 | 227 | 2013 |
| A PAC-Bayesian Bound for Lifelong Learning A Pentina, CH Lampert International Conference on Machine Learning (ICML), 2014 | 217 | 2014 |
| 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 | 202* | 2010 |
| Distillation-Based Training for Multi-Exit Architectures M Phuong, CH Lampert International Conference on Computer Vision (ICCV), 2019 | 190 | 2019 |
| Extrapolation and learning equations G Martius, CH Lampert arXiv preprint arXiv:1610.02995, 2016 | 174 | 2016 |
| Data-Dependent Stability of Stochastic Gradient Descent I Kuzborskij, C Lampert International Conference on Machine Learning (ICML), 2018 | 157 | 2018 |
Matthew BlaschkoKU Leuven在 esat.kuleuven.be 的电子邮件经过验证
