Mateusz Kozinski
Mateusz Kozinski
Verifierad e-postadress på epfl.ch
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Beyond the pixel-wise loss for topology-aware delineation
A Mosinska, P Marquez-Neila, M Koziński, P Fua
Proceedings of the IEEE conference on computer vision and pattern …, 2018
872018
A MRF shape prior for facade parsing with occlusions
M Kozinski, R Gadde, S Zagoruyko, G Obozinski, R Marlet
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
362015
High-level bottom-up cues for top-down parsing of facade images
D Ok, M Kozinski, R Marlet, N Paragios
2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012
132012
An adversarial regularisation for semi-supervised training of structured output neural networks
M Koziński, L Simon, F Jurie
arXiv preprint arXiv:1702.02382, 2017
112017
Beyond procedural facade parsing: Bidirectional alignment via linear programming
M Koziński, G Obozinski, R Marlet
Asian Conference on Computer Vision, 79-94, 2014
102014
Image parsing with graph grammars and Markov Random Fields applied to facade analysis
M Koziński, R Marlet
IEEE Winter Conference on Applications of Computer Vision, 729-736, 2014
92014
Joint segmentation and path classification of curvilinear structures
A Mosinska, M Koziński, P Fua
IEEE transactions on pattern analysis and machine intelligence 42 (6), 1515-1521, 2019
82019
A convolutional neural network segments yeast microscopy images with high accuracy
N Dietler, M Minder, V Gligorovski, AM Economou, DAHL Joly, A Sadeghi, ...
Nature communications 11 (1), 1-8, 2020
62020
Learning to segment 3D linear structures using only 2D annotations
M Koziński, A Mosinska, M Salzmann, P Fua
International Conference on Medical Image Computing and Computer-Assisted …, 2018
62018
Promoting Connectivity of Network-Like Structures by Enforcing Region Separation
D Oner, M Kozinski, L Citraro, NC Dadap, AG Konings, P Fua
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
42021
Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures
M Koziński, A Mosinska, M Salzmann, P Fua
Medical image analysis 60, 101590, 2020
32020
YeaZ: A convolutional neural network for highly accurate, label-free segmentation of yeast microscopy images
N Dietler, M Minder, V Gligorovski, AM Economou, DAHL Joly, A Sadeghi, ...
bioRxiv, 2020
32020
Towards reliable evaluation of algorithms for road network reconstruction from aerial images
L Citraro, M Koziński, P Fua
European Conference on Computer Vision, 703-719, 2020
22020
Drainage canals in Southeast Asian peatlands increase carbon emissions
NC Dadap, AM Hoyt, AR Cobb, D Oner, M Kozinski, PV Fua, K Rao, ...
AGU Advances 2 (1), e2020AV000321, 2021
12021
Topoal: An adversarial learning approach for topology-aware road segmentation
S Vasu, M Kozinski, L Citraro, P Fua
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
12020
Towards Reliable Evaluation of Road Network Reconstructions
L Citraro, M Koziński, P Fua
arXiv preprint arXiv:1911.12467, 2019
2019
Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation
M Koziński, A Mosinska, M Salzmann, P Fua
arXiv preprint arXiv:1811.10508, 2018
2018
Semi-Supervised Training of Structured Output Neural Networks with an Adversarial Loss
M Kozinski, L Simon, F Jurie
ORASIS 2017, 2017
2017
Segmentation of facade images with shape priors
M Kozinski
Paris Est, 2015
2015
A MRF Shape Prior for Facade Parsing with Occlusions Supplementary Material
M Kozinski, R Gadde, S Zagoruyko, G Obozinski, R Marlet
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Artiklar 1–20