Matthew Blaschko
Matthew Blaschko
Verified email at esat.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
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
9102008
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
4432009
Fine-grained visual classification of aircraft
S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi
arXiv preprint arXiv:1306.5151, 2013
4362013
Learning to localize objects with structured output regression
MB Blaschko, CH Lampert
European conference on computer vision, 2-15, 2008
3862008
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
2312005
Unsupervised object discovery: A comparison
T Tuytelaars, CH Lampert, MB Blaschko, W Buntine
International journal of computer vision 88 (2), 284-302, 2010
2262010
Correlational spectral clustering
MB Blaschko, CH Lampert
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
2072008
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
1972016
Learning a category independent object detection cascade
E Rahtu, J Kannala, M Blaschko
2011 international conference on Computer Vision, 1052-1059, 2011
1782011
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
1372018
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
1072014
Encoder based lifelong learning
A Rannen, R Aljundi, MB Blaschko, T Tuytelaars
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
1052017
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
1042014
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
892018
Simultaneous object detection and ranking with weak supervision
M Blaschko, A Vedaldi, A Zisserman
Advances in neural information processing systems, 235-243, 2010
812010
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
802005
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
732013
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
682017
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
622008
A multiple kernel learning approach to joint multi-class object detection
CH Lampert, MB Blaschko
Joint Pattern Recognition Symposium, 31-40, 2008
502008
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