Matthew Blaschko
Matthew Blaschko
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Cited by
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
Fine-grained visual classification of aircraft
S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi
arXiv preprint arXiv:1306.5151, 2013
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
Learning to localize objects with structured output regression
MB Blaschko, CH Lampert
European conference on computer vision, 2-15, 2008
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
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
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
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
Unsupervised object discovery: A comparison
T Tuytelaars, CH Lampert, MB Blaschko, W Buntine
International journal of computer vision 88 (2), 284-302, 2010
Correlational spectral clustering
MB Blaschko, CH Lampert
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Learning a category independent object detection cascade
E Rahtu, J Kannala, M Blaschko
2011 international conference on Computer Vision, 1052-1059, 2011
Encoder based lifelong learning
A Rannen, R Aljundi, MB Blaschko, T Tuytelaars
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 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
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
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
Optimizing the dice score and jaccard index for medical image segmentation: Theory and practice
J Bertels, T Eelbode, M Berman, D Vandermeulen, F Maes, R Bisschops, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
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
B-test: A non-parametric, low variance kernel two-sample test
W Zaremba, A Gretton, M Blaschko
Advances in neural information processing systems 26, 2013
Simultaneous object detection and ranking with weak supervision
M Blaschko, A Vedaldi, A Zisserman
Advances in neural information processing systems 23, 2010
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
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
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