8 Publications

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[8]
2018 | Journal Article | IST-REx-ID: 563   OA
Ringbauer H, Kolesnikov A, Field D, Barton NH. 2018. Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. 208(3), 1231–1245.
View | Files available | DOI | Download (ext.)
 
[7]
2018 | Thesis | IST-REx-ID: 197   OA
Kolesnikov A. 2018. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images, IST Austria, 113p.
View | Files available | DOI
 
[6]
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer A, Kolesnikov A, Lampert C. Probabilistic image colorization. BMVC: British Machine Vision Conference
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[5]
2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov A, Lampert C. 2017. PixelCNN models with auxiliary variables for natural image modeling. ICML: International Conference on Machine Learning, PMLR, vol. 70. 1905–1914.
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[4]
2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. 2017. iCaRL: Incremental classifier and representation learning. CVPR: Computer Vision and Pattern Recognition vol. 2017. 5533–5542.
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[3]
2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov A, Lampert C. 2016. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 9908. 695–711.
View | DOI | Download (ext.)
 
[2]
2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization by micro-annotation. Proceedings of the British Machine Vision Conference 2016. BMVC: British Machine Vision Conference vol. 2016–September. 92.1-92.12.
View | DOI | Download (ext.)
 
[1]
2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. 2014. Closed-form approximate CRF training for scalable image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ECCV: European Conference on Computer Vision, LNCS, vol. 8691. 550–565.
View | DOI | Download (ext.)
 

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8 Publications

Mark all

[8]
2018 | Journal Article | IST-REx-ID: 563   OA
Ringbauer H, Kolesnikov A, Field D, Barton NH. 2018. Estimating barriers to gene flow from distorted isolation-by-distance patterns. Genetics. 208(3), 1231–1245.
View | Files available | DOI | Download (ext.)
 
[7]
2018 | Thesis | IST-REx-ID: 197   OA
Kolesnikov A. 2018. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images, IST Austria, 113p.
View | Files available | DOI
 
[6]
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer A, Kolesnikov A, Lampert C. Probabilistic image colorization. BMVC: British Machine Vision Conference
View | Download (ext.)
 
[5]
2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov A, Lampert C. 2017. PixelCNN models with auxiliary variables for natural image modeling. ICML: International Conference on Machine Learning, PMLR, vol. 70. 1905–1914.
View | Download (ext.)
 
[4]
2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi SA, Kolesnikov A, Sperl G, Lampert C. 2017. iCaRL: Incremental classifier and representation learning. CVPR: Computer Vision and Pattern Recognition vol. 2017. 5533–5542.
View | DOI | Download (ext.)
 
[3]
2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov A, Lampert C. 2016. Seed, expand and constrain: Three principles for weakly-supervised image segmentation. ECCV: European Conference on Computer Vision, LNCS, vol. 9908. 695–711.
View | DOI | Download (ext.)
 
[2]
2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov A, Lampert C. 2016. Improving weakly-supervised object localization by micro-annotation. Proceedings of the British Machine Vision Conference 2016. BMVC: British Machine Vision Conference vol. 2016–September. 92.1-92.12.
View | DOI | Download (ext.)
 
[1]
2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov A, Guillaumin M, Ferrari V, Lampert C. 2014. Closed-form approximate CRF training for scalable image segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ECCV: European Conference on Computer Vision, LNCS, vol. 8691. 550–565.
View | DOI | Download (ext.)
 

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Citation Style: IST Annual Report

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