Matthew Blaschko
Matthew Blaschko
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TitleCited byYear
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
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
Fine-grained visual classification of aircraft
S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi
arXiv preprint arXiv:1306.5151, 2013
Unsupervised object discovery: A comparison
T Tuytelaars, CH Lampert, MB Blaschko, W Buntine
International journal of computer vision 88 (2), 284-302, 2010
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
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
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
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
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
Simultaneous object detection and ranking with weak supervision
M Blaschko, A Vedaldi, A Zisserman
Advances in neural information processing systems, 235-243, 2010
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
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
Encoder based lifelong learning
A Rannen, R Aljundi, MB Blaschko, T Tuytelaars
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
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
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
Object Localization with Global and Local Context Kernels.
MB Blaschko, CH Lampert
BMVC 1, 2, 2009
A multiple kernel learning approach to joint multi-class object detection
CH Lampert, MB Blaschko
Joint Pattern Recognition Symposium, 31-40, 2008
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