| Beyond sliding windows: Object localization by efficient subwindow search CH Lampert, MB Blaschko, T Hofmann 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 891 | 2008 |
| 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 31 (12), 2129 …, 2009 | 440 | 2009 |
| Learning to localize objects with structured output regression MB Blaschko, CH Lampert European conference on computer vision, 2-15, 2008 | 381 | 2008 |
| Fine-grained visual classification of aircraft S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi arXiv preprint arXiv:1306.5151, 2013 | 354 | 2013 |
| Combining local and global image features for object class recognition DA Lisin, MA Mattar, MB Blaschko, EG Learned-Miller, MC Benfield 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 219 | 2005 |
| Unsupervised object discovery: A comparison T Tuytelaars, CH Lampert, MB Blaschko, W Buntine International journal of computer vision 88 (2), 284-302, 2010 | 218 | 2010 |
| Correlational spectral clustering MB Blaschko, CH Lampert 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 199 | 2008 |
| Learning a category independent object detection cascade E Rahtu, J Kannala, M Blaschko 2011 international conference on Computer Vision, 1052-1059, 2011 | 172 | 2011 |
| A discriminatively trained fully connected conditional random field model for blood vessel segmentation in fundus images JI Orlando, E Prokofyeva, MB Blaschko IEEE transactions on Biomedical Engineering 64 (1), 16-27, 2016 | 164 | 2016 |
| Learning fully-connected CRFs for blood vessel segmentation in retinal images JI Orlando, M Blaschko international conference on medical image computing and computer-assisted …, 2014 | 100 | 2014 |
| Understanding objects in detail with fine-grained attributes A Vedaldi, S Mahendran, S Tsogkas, S Maji, R Girshick, J Kannala, ... Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 95 | 2014 |
| The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks M Berman, A Rannen Triki, MB Blaschko | 93 | 2018 |
| Automatic in situ identification of plankton MB Blaschko, G Holness, MA Mattar, D Lisin, PE Utgoff, AR Hanson, ... 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION …, 2005 | 79 | 2005 |
| Simultaneous object detection and ranking with weak supervision M Blaschko, A Vedaldi, A Zisserman Advances in neural information processing systems, 235-243, 2010 | 77 | 2010 |
| Encoder based lifelong learning A Rannen, R Aljundi, MB Blaschko, T Tuytelaars Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017 | 72 | 2017 |
| An ensemble deep learning based approach for red lesion detection in fundus images JI Orlando, E Prokofyeva, M del Fresno, MB Blaschko Computer methods and programs in biomedicine 153, 115-127, 2018 | 70 | 2018 |
| B-test: A non-parametric, low variance kernel two-sample test W Zaremba, A Gretton, M Blaschko Advances in neural information processing systems, 755-763, 2013 | 66 | 2013 |
| Semi-supervised laplacian regularization of kernel canonical correlation analysis MB Blaschko, CH Lampert, A Gretton Joint European conference on machine learning and knowledge discovery in …, 2008 | 61 | 2008 |
| Convolutional neural network transfer for automated glaucoma identification JI Orlando, E Prokofyeva, M del Fresno, MB Blaschko 12th international symposium on medical information processing and analysis …, 2017 | 55 | 2017 |
| A multiple kernel learning approach to joint multi-class object detection CH Lampert, MB Blaschko Joint Pattern Recognition Symposium, 31-40, 2008 | 48 | 2008 |
Christoph H. LampertProfessor at IST AustriaVerified email at ist.ac.at
