Alexander Kolesnikov

Lampert Group

9 Publications

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[9]
2019 | Conference Paper | IST-REx-ID: 7640 | OA
Kolesnikov, Alexander, Alina Kuznetsova, Christoph Lampert, and Vittorio Ferrari. “Detecting Visual Relationships Using Box Attention.” In Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE, 2019. https://doi.org/10.1109/ICCVW.2019.00217.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[8]
2018 | Thesis | IST-REx-ID: 197 | OA
Kolesnikov, Alexander. “Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_1021.
[Published Version] View | Files available | DOI
 
[7]
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. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.117.300638.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 
[6]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov, Alexander, and Christoph Lampert. “PixelCNN Models with Auxiliary Variables for Natural Image Modeling.” In 34th International Conference on Machine Learning, 70:1905–14. JMLR, 2017.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[5]
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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[4]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer, Amélie, Alexander Kolesnikov, and Christoph Lampert. “Probabilistic Image Colorization,” 85.1-85.12. BMVA Press, 2017. https://doi.org/10.5244/c.31.85.
[Published Version] View | Files available | DOI | arXiv
 
[3]
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.
[Published Version] View | DOI | Download Published Version (ext.)
 
[2]
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.
[Preprint] View | DOI | Download Preprint (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.
[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, Alexander, Alina Kuznetsova, Christoph Lampert, and Vittorio Ferrari. “Detecting Visual Relationships Using Box Attention.” In Proceedings of the 2019 International Conference on Computer Vision Workshop. IEEE, 2019. https://doi.org/10.1109/ICCVW.2019.00217.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[8]
2018 | Thesis | IST-REx-ID: 197 | OA
Kolesnikov, Alexander. “Weakly-Supervised Segmentation and Unsupervised Modeling of Natural Images.” Institute of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:th_1021.
[Published Version] View | Files available | DOI
 
[7]
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. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.117.300638.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 
[6]
2017 | Conference Paper | IST-REx-ID: 1000 | OA
Kolesnikov, Alexander, and Christoph Lampert. “PixelCNN Models with Auxiliary Variables for Natural Image Modeling.” In 34th International Conference on Machine Learning, 70:1905–14. JMLR, 2017.
[Submitted Version] View | Download Submitted Version (ext.) | WoS | arXiv
 
[5]
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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[4]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer, Amélie, Alexander Kolesnikov, and Christoph Lampert. “Probabilistic Image Colorization,” 85.1-85.12. BMVA Press, 2017. https://doi.org/10.5244/c.31.85.
[Published Version] View | Files available | DOI | arXiv
 
[3]
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.
[Published Version] View | DOI | Download Published Version (ext.)
 
[2]
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.
[Preprint] View | DOI | Download Preprint (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.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 
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    Citation Style: Chicago

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