Alexander Kolesnikov

Lampert Group

9 Publications

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[9]
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. 2019. Detecting visual relationships using box attention. Proceedings of the 2019 International Conference on Computer Vision Workshop. ICCVW: International Conference on Computer Vision Workshop, 1749–1753.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[8]
2018 | Thesis | IST-REx-ID: 197 | OA
Kolesnikov A. 2018. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
[7]
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 
[6]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov A, Lampert C. 2017. PixelCNN models with auxiliary variables for natural image modeling. 34th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 70, 1905–1914.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[5]
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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[4]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer A, Kolesnikov A, Lampert C. 2017. Probabilistic image colorization. BMVC: British Machine Vision Conference, 85.1-85.12.
[Published Version] View | Files available | DOI | arXiv
 
[3]
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.
[Published Version] View | DOI | Download Published Version (ext.)
 
[2]
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.
[Preprint] View | DOI | Download Preprint (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.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
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9 Publications

Mark all

[9]
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov A, Kuznetsova A, Lampert C, Ferrari V. 2019. Detecting visual relationships using box attention. Proceedings of the 2019 International Conference on Computer Vision Workshop. ICCVW: International Conference on Computer Vision Workshop, 1749–1753.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[8]
2018 | Thesis | IST-REx-ID: 197 | OA
Kolesnikov A. 2018. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
[7]
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.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 
[6]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov A, Lampert C. 2017. PixelCNN models with auxiliary variables for natural image modeling. 34th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 70, 1905–1914.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[5]
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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[4]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer A, Kolesnikov A, Lampert C. 2017. Probabilistic image colorization. BMVC: British Machine Vision Conference, 85.1-85.12.
[Published Version] View | Files available | DOI | arXiv
 
[3]
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.
[Published Version] View | DOI | Download Published Version (ext.)
 
[2]
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.
[Preprint] View | DOI | Download Preprint (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.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
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    Citation Style: ISTA Annual Report

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