Alexander Kolesnikov
Lampert Group
9 Publications
2019 | Conference Paper | IST-REx-ID: 7640 |
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
2018 | Thesis | IST-REx-ID: 197 |
Kolesnikov A. 2018. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2018 | Journal Article | IST-REx-ID: 563 |
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
2017 | Conference Paper | IST-REx-ID: 1000 |
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
2017 | Conference Paper | IST-REx-ID: 998 |
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
2017 | Conference Paper | IST-REx-ID: 911 |
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
2016 | Conference Paper | IST-REx-ID: 1102 |
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.)
2016 | Conference Paper | IST-REx-ID: 1369 |
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.)
2014 | Conference Paper | IST-REx-ID: 2171 |
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.)
9 Publications
2019 | Conference Paper | IST-REx-ID: 7640 |
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
2018 | Thesis | IST-REx-ID: 197 |
Kolesnikov A. 2018. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. Institute of Science and Technology Austria.
[Published Version]
View
| Files available
| DOI
2018 | Journal Article | IST-REx-ID: 563 |
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
2017 | Conference Paper | IST-REx-ID: 1000 |
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
2017 | Conference Paper | IST-REx-ID: 998 |
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
2017 | Conference Paper | IST-REx-ID: 911 |
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
2016 | Conference Paper | IST-REx-ID: 1102 |
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.)
2016 | Conference Paper | IST-REx-ID: 1369 |
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.)
2014 | Conference Paper | IST-REx-ID: 2171 |
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.)