Matthew Blaschko

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Citations	5648	3264
h-index	29	25
i10-index	49	40

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Christoph H. LampertProfessor at IST AustriaVerified email at ist.ac.at
Maxim BermanAppleVerified email at esat.kuleuven.be
Amal Rannen TrikiResearch Scientist at DeepMindVerified email at google.com
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Esa RahtuAssistant Professor, Tampere University, FinlandVerified email at tuni.fi
Juho KannalaAssistant Professor, Aalto University, FinlandVerified email at aalto.fi
Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk
José Ignacio OrlandoAssistant Researcher, CONICET / UNICENVerified email at conicet.gov.ar
Eugene BelilovskyAssistant Professor, Concordia UniversityVerified email at concordia.ca
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
Elena ProkofyevaScientific Institute of Public Health/ FAMHPVerified email at biomed-engineering.de
Subhransu MajiUniversity of Massachusetts, Amherst and Amazon ScholarVerified email at cs.umass.edu
Thomas HofmannProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Andreas BartelsGroup leader, Vision and Cognition Lab, University of TübingenVerified email at tuebingen.mpg.de
Dimitri LisiniRobot, Inc.Verified email at cs.umass.edu
Gaël VaroquauxResearch director, INRIAVerified email at normalesup.org
Wojciech ZarembaCo-Founder of OpenAIVerified email at openai.com
Andrew ZissermanUniversity of OxfordVerified email at robots.ox.ac.uk
Mark BenfieldProfessor, Louisiana State UniversityVerified email at lsu.edu
Naomi SaphraUniversity of EdinburghVerified email at ed.ac.uk

Matthew Blaschko

KU Leuven

Verified email at esat.kuleuven.be - Homepage

Machine Learning Computer Vision Medical Image Analysis


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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	964	2008
Fine-grained visual classification of aircraft S Maji, E Rahtu, J Kannala, M Blaschko, A Vedaldi arXiv preprint arXiv:1306.5151, 2013	563	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	478	2009
Learning to localize objects with structured output regression MB Blaschko, CH Lampert European conference on computer vision, 2-15, 2008	415	2008
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	251	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	242	2005
Unsupervised object discovery: A comparison T Tuytelaars, CH Lampert, MB Blaschko, W Buntine International journal of computer vision 88 (2), 284-302, 2010	239	2010
Correlational spectral clustering MB Blaschko, CH Lampert 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	223	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	215	2018
Learning a category independent object detection cascade E Rahtu, J Kannala, M Blaschko 2011 international conference on Computer Vision, 1052-1059, 2011	198	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	134	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	123	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	118	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	111	2014
Simultaneous object detection and ranking with weak supervision M Blaschko, A Vedaldi, A Zisserman Advances in neural information processing systems, 235-243, 2010	92	2010
B-tests: Low variance kernel two-sample tests W Zaremba, A Gretton, M Blaschko arXiv preprint arXiv:1307.1954, 2013	88	2013
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	86	2005
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	84	2017
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	70	2008
Object Localization with Global and Local Context Kernels. MB Blaschko, CH Lampert BMVC 1, 2, 2009	52	2009

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