8 Publications

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[8]
2018 | Journal Article | IST-REx-ID: 563   OA
H. Ringbauer, A. Kolesnikov, D. Field, and N. H. Barton, “Estimating barriers to gene flow from distorted isolation-by-distance patterns,” Genetics, vol. 208, no. 3, pp. 1231–1245, 2018.
View | Files available | DOI | Download (ext.)
 
[7]
2018 | Thesis | IST-REx-ID: 197   OA
A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria, 2018.
View | Files available | DOI
 
[6]
2017 | Conference Paper | IST-REx-ID: 911   OA
A. Royer, A. Kolesnikov, and C. Lampert, “Probabilistic image colorization,” presented at the BMVC: British Machine Vision Conference, London, United Kingdom.
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[5]
2017 | Conference Paper | IST-REx-ID: 1000   OA
A. Kolesnikov and C. Lampert, “PixelCNN models with auxiliary variables for natural image modeling,” presented at the ICML: International Conference on Machine Learning, Sydney, Australia, 2017, vol. 70, pp. 1905–1914.
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[4]
2017 | Conference Paper | IST-REx-ID: 998   OA
S. A. Rebuffi, A. Kolesnikov, G. Sperl, and C. Lampert, “iCaRL: Incremental classifier and representation learning,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 5533–5542.
View | DOI | Download (ext.)
 
[3]
2016 | Conference Paper | IST-REx-ID: 1369   OA
A. Kolesnikov and C. Lampert, “Seed, expand and constrain: Three principles for weakly-supervised image segmentation,” presented at the ECCV: European Conference on Computer Vision, Amsterdam, The Netherlands, 2016, vol. 9908, pp. 695–711.
View | DOI | Download (ext.)
 
[2]
2016 | Conference Paper | IST-REx-ID: 1102   OA
A. Kolesnikov and C. Lampert, “Improving weakly-supervised object localization by micro-annotation,” in Proceedings of the British Machine Vision Conference 2016, York, United Kingdom, 2016, vol. 2016–September, p. 92.1-92.12.
View | DOI | Download (ext.)
 
[1]
2014 | Conference Paper | IST-REx-ID: 2171   OA
A. Kolesnikov, M. Guillaumin, V. Ferrari, and C. Lampert, “Closed-form approximate CRF training for scalable image segmentation,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Zurich, Switzerland, 2014, vol. 8691, no. PART 3, pp. 550–565.
View | DOI | Download (ext.)
 

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8 Publications

Mark all

[8]
2018 | Journal Article | IST-REx-ID: 563   OA
H. Ringbauer, A. Kolesnikov, D. Field, and N. H. Barton, “Estimating barriers to gene flow from distorted isolation-by-distance patterns,” Genetics, vol. 208, no. 3, pp. 1231–1245, 2018.
View | Files available | DOI | Download (ext.)
 
[7]
2018 | Thesis | IST-REx-ID: 197   OA
A. Kolesnikov, Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria, 2018.
View | Files available | DOI
 
[6]
2017 | Conference Paper | IST-REx-ID: 911   OA
A. Royer, A. Kolesnikov, and C. Lampert, “Probabilistic image colorization,” presented at the BMVC: British Machine Vision Conference, London, United Kingdom.
View | Download (ext.)
 
[5]
2017 | Conference Paper | IST-REx-ID: 1000   OA
A. Kolesnikov and C. Lampert, “PixelCNN models with auxiliary variables for natural image modeling,” presented at the ICML: International Conference on Machine Learning, Sydney, Australia, 2017, vol. 70, pp. 1905–1914.
View | Download (ext.)
 
[4]
2017 | Conference Paper | IST-REx-ID: 998   OA
S. A. Rebuffi, A. Kolesnikov, G. Sperl, and C. Lampert, “iCaRL: Incremental classifier and representation learning,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 5533–5542.
View | DOI | Download (ext.)
 
[3]
2016 | Conference Paper | IST-REx-ID: 1369   OA
A. Kolesnikov and C. Lampert, “Seed, expand and constrain: Three principles for weakly-supervised image segmentation,” presented at the ECCV: European Conference on Computer Vision, Amsterdam, The Netherlands, 2016, vol. 9908, pp. 695–711.
View | DOI | Download (ext.)
 
[2]
2016 | Conference Paper | IST-REx-ID: 1102   OA
A. Kolesnikov and C. Lampert, “Improving weakly-supervised object localization by micro-annotation,” in Proceedings of the British Machine Vision Conference 2016, York, United Kingdom, 2016, vol. 2016–September, p. 92.1-92.12.
View | DOI | Download (ext.)
 
[1]
2014 | Conference Paper | IST-REx-ID: 2171   OA
A. Kolesnikov, M. Guillaumin, V. Ferrari, and C. Lampert, “Closed-form approximate CRF training for scalable image segmentation,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Zurich, Switzerland, 2014, vol. 8691, no. PART 3, pp. 550–565.
View | DOI | Download (ext.)
 

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Citation Style: IEEE

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