| 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 | 137 | 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 | 39 | 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 | 23 | 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 | 17 | 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 | 15 | 2017 |
| 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 | 14 | 2012 |
| Beyond procedural facade parsing: Bidirectional alignment via linear programming M Koziński, G Obozinski, R Marlet Asian Conference on Computer Vision, 79-94, 2014 | 11 | 2014 |
| 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 | 10 | 2014 |
| 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 | 8 | 2021 |
| 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 | 8 | 2021 |
| 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 | 8 | 2020 |
| 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 | 7 | 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 | 4 | 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 | 2 | 2020 |
| Adjusting the ground truth annotations for connectivity-based learning to delineate D Oner, L Citraro, M Koziński, P Fua arXiv preprint arXiv:2112.02781, 2021 | 1 | 2021 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| Localized Persistent Homologies for more Effective Deep Learning D Oner, A Garin, M Koziński, K Hess, P Fua arXiv preprint arXiv:2110.06295, 2021 | | 2021 |
| 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 |
