Mateusz Kozinski
Mateusz Kozinski
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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
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
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
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
An adversarial regularisation for semi-supervised training of structured output neural networks
M Koziński, L Simon, F Jurie
arXiv preprint arXiv:1702.02382, 2017
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
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
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
Beyond procedural facade parsing: Bidirectional alignment via linear programming
M Koziński, G Obozinski, R Marlet
Asian Conference on Computer Vision, 79-94, 2014
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
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
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
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
TOPO-Loss for continuity-preserving crack detection using deep learning
BG Pantoja-Rosero, D Oner, M Kozinski, R Achanta, P Fua, F Pérez-Cruz, ...
Construction and Building Materials 344, 128264, 2022
Topoal: An adversarial learning approach for topology-aware road segmentation
S Vasu, M Kozinski, L Citraro, P Fua
European Conference on Computer Vision, 224-240, 2020
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
Adjusting the ground truth annotations for connectivity-based learning to delineate
D Oner, M Koziński, L Citraro, P Fua
IEEE Transactions on Medical Imaging, 2022
Persistent Homology with Improved Locality Information for more Effective Delineation
D Oner, A Garin, M Koziński, K Hess, P Fua
arXiv preprint arXiv:2110.06295, 2021
Generating LOD3 building models from structure-from-motion and semantic segmentation
BG Pantoja-Rosero, R Achanta, M Kozinski, P Fua, F Perez-Cruz, K Beyer
Automation in Construction 141, 104430, 2022
Enforcing connectivity of 3D linear structures using their 2D projections
D Oner, H Osman, M Koziński, P Fua
International Conference on Medical Image Computing and Computer-Assisted …, 2022
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