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Matthew Blaschko
Matthew Blaschko
KU Leuven
Zweryfikowany adres z esat.kuleuven.be - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Fine-grained visual classification of aircraft
S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi
arXiv preprint arXiv:1306.5151, 2013
13542013
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
10122008
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
6702018
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
4872009
Learning to Localize Objects with Structured Output Regression.
MB Blaschko, CH Lampert
ECCV (1) 5302, 2-15, 2008
4512008
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
4442016
Encoder based lifelong learning
A Rannen, R Aljundi, MB Blaschko, T Tuytelaars
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
2912017
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
2882005
Correlational spectral clustering
MB Blaschko, CH Lampert
2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008
2612008
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
2582018
Unsupervised object discovery: A comparison
T Tuytelaars, CH Lampert, MB Blaschko, W Buntine
Springer, 2010
2432010
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
2152019
Learning a category independent object detection cascade
E Rahtu, J Kannala, M Blaschko
2011 international conference on Computer Vision, 1052-1059, 2011
2112011
Optimization for medical image segmentation: theory and practice when evaluating with dice score or jaccard index
T Eelbode, J Bertels, M Berman, D Vandermeulen, F Maes, R Bisschops, ...
IEEE Transactions on Medical Imaging 39 (11), 3679-3690, 2020
1612020
Learning fully-connected CRFs for blood vessel segmentation in retinal images
JI Orlando, M Blaschko
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
1402014
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
1342017
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
1312013
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
1232014
Simultaneous object detection and ranking with weak supervision
M Blaschko, A Vedaldi, A Zisserman
Advances in neural information processing systems 23, 2010
992010
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
992005
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