8 Publications

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[8]
2018 | Journal Article | IST-REx-ID: 563   OA
Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics 208, no. 3 (2018): 1231–45. https://doi.org/10.1534/genetics.117.300638 .
View | Files available | DOI | Download (ext.)
 
[7]
2018 | Thesis | IST-REx-ID: 197   OA
Kolesnikov, Alexander. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_1021.
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[6]
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer, Amélie, Alexander Kolesnikov, and Christoph Lampert. “Probabilistic Image Colorization.” BMVA Press, n.d.
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[5]
2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov, Alexander, and Christoph Lampert. “PixelCNN Models with Auxiliary Variables for Natural Image Modeling,” 70:1905–14. Omnipress, 2017.
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[4]
2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi, Sylvestre Alvise, Alexander Kolesnikov, Georg Sperl, and Christoph Lampert. “ICaRL: Incremental Classifier and Representation Learning,” 2017:5533–42. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.587.
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[3]
2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov, Alexander, and Christoph Lampert. “Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation,” 9908:695–711. Springer, 2016. https://doi.org/10.1007/978-3-319-46493-0_42.
View | DOI | Download (ext.)
 
[2]
2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” In Proceedings of the British Machine Vision Conference 2016, 2016–September:92.1-92.12. BMVA Press, 2016. https://doi.org/10.5244/C.30.92.
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[1]
2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov, Alexander, Matthieu Guillaumin, Vittorio Ferrari, and Christoph 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), edited by David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, 8691:550–65. Springer, 2014. https://doi.org/10.1007/978-3-319-10578-9_36.
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8 Publications

Mark all

[8]
2018 | Journal Article | IST-REx-ID: 563   OA
Ringbauer, Harald, Alexander Kolesnikov, David Field, and Nicholas H Barton. “Estimating Barriers to Gene Flow from Distorted Isolation-by-Distance Patterns.” Genetics 208, no. 3 (2018): 1231–45. https://doi.org/10.1534/genetics.117.300638 .
View | Files available | DOI | Download (ext.)
 
[7]
2018 | Thesis | IST-REx-ID: 197   OA
Kolesnikov, Alexander. Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images. IST Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_1021.
View | Files available | DOI
 
[6]
2017 | Conference Paper | IST-REx-ID: 911   OA
Royer, Amélie, Alexander Kolesnikov, and Christoph Lampert. “Probabilistic Image Colorization.” BMVA Press, n.d.
View | Download (ext.)
 
[5]
2017 | Conference Paper | IST-REx-ID: 1000   OA
Kolesnikov, Alexander, and Christoph Lampert. “PixelCNN Models with Auxiliary Variables for Natural Image Modeling,” 70:1905–14. Omnipress, 2017.
View | Download (ext.)
 
[4]
2017 | Conference Paper | IST-REx-ID: 998   OA
Rebuffi, Sylvestre Alvise, Alexander Kolesnikov, Georg Sperl, and Christoph Lampert. “ICaRL: Incremental Classifier and Representation Learning,” 2017:5533–42. IEEE, 2017. https://doi.org/10.1109/CVPR.2017.587.
View | DOI | Download (ext.)
 
[3]
2016 | Conference Paper | IST-REx-ID: 1369   OA
Kolesnikov, Alexander, and Christoph Lampert. “Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation,” 9908:695–711. Springer, 2016. https://doi.org/10.1007/978-3-319-46493-0_42.
View | DOI | Download (ext.)
 
[2]
2016 | Conference Paper | IST-REx-ID: 1102   OA
Kolesnikov, Alexander, and Christoph Lampert. “Improving Weakly-Supervised Object Localization by Micro-Annotation.” In Proceedings of the British Machine Vision Conference 2016, 2016–September:92.1-92.12. BMVA Press, 2016. https://doi.org/10.5244/C.30.92.
View | DOI | Download (ext.)
 
[1]
2014 | Conference Paper | IST-REx-ID: 2171   OA
Kolesnikov, Alexander, Matthieu Guillaumin, Vittorio Ferrari, and Christoph 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), edited by David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, 8691:550–65. Springer, 2014. https://doi.org/10.1007/978-3-319-10578-9_36.
View | DOI | Download (ext.)
 

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Citation Style: Chicago

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