6 Publications

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[6]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
A. Royer and C. Lampert, “Localizing grouped instances for efficient detection in low-resource scenarios,” in IEEE Winter Conference on Applications of Computer Vision, Snowmass Village, CO, United States, 2020, pp. 1716–1725.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[5]
2020 | Conference Paper | IST-REx-ID: 8193
K. Chatterjee, M. Chmelik, D. Karkhanis, P. Novotný, and A. Royer, “Multiple-environment Markov decision processes: Efficient analysis and applications,” in Proceedings of the 30th International Conference on Automated Planning and Scheduling, Nancy, France, 2020, vol. 30, pp. 48–56.
View | Files available
 
[4]
2020 | Book Chapter | IST-REx-ID: 8092 | OA
A. Royer et al., “XGAN: Unsupervised image-to-image translation for many-to-many mappings,” in Domain Adaptation for Visual Understanding, R. Singh, M. Vatsa, V. M. Patel, and N. Ratha, Eds. Springer Nature, 2020, pp. 33–49.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Thesis | IST-REx-ID: 8390 | OA
A. Royer, Leveraging structure in Computer Vision tasks for flexible Deep Learning models. IST Austria, 2020.
View | Files available | DOI
 
[2]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
A. Royer and C. Lampert, “A flexible selection scheme for minimum-effort transfer learning,” in 2020 IEEE Winter Conference on Applications of Computer Vision, Snowmass Village, CO, United States, 2020.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[1]
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, 2017, p. 85.1-85.12.
View | Files available | DOI | arXiv
 

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6 Publications

Mark all

[6]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
A. Royer and C. Lampert, “Localizing grouped instances for efficient detection in low-resource scenarios,” in IEEE Winter Conference on Applications of Computer Vision, Snowmass Village, CO, United States, 2020, pp. 1716–1725.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[5]
2020 | Conference Paper | IST-REx-ID: 8193
K. Chatterjee, M. Chmelik, D. Karkhanis, P. Novotný, and A. Royer, “Multiple-environment Markov decision processes: Efficient analysis and applications,” in Proceedings of the 30th International Conference on Automated Planning and Scheduling, Nancy, France, 2020, vol. 30, pp. 48–56.
View | Files available
 
[4]
2020 | Book Chapter | IST-REx-ID: 8092 | OA
A. Royer et al., “XGAN: Unsupervised image-to-image translation for many-to-many mappings,” in Domain Adaptation for Visual Understanding, R. Singh, M. Vatsa, V. M. Patel, and N. Ratha, Eds. Springer Nature, 2020, pp. 33–49.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Thesis | IST-REx-ID: 8390 | OA
A. Royer, Leveraging structure in Computer Vision tasks for flexible Deep Learning models. IST Austria, 2020.
View | Files available | DOI
 
[2]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
A. Royer and C. Lampert, “A flexible selection scheme for minimum-effort transfer learning,” in 2020 IEEE Winter Conference on Applications of Computer Vision, Snowmass Village, CO, United States, 2020.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[1]
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, 2017, p. 85.1-85.12.
View | Files available | DOI | arXiv
 

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