Amélie Royer
Lampert Group
6 Publications
2020 | Conference Paper | IST-REx-ID: 7936 | 
Royer, Amélie, and Christoph Lampert. “Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.” In IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020. https://doi.org/10.1109/WACV45572.2020.9093288.
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2020 | Conference Paper | IST-REx-ID: 7937 |
Royer, Amélie, and Christoph Lampert. “A Flexible Selection Scheme for Minimum-Effort Transfer Learning.” In 2020 IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020. https://doi.org/10.1109/WACV45572.2020.9093635.
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2020 | Conference Paper | IST-REx-ID: 8193
Chatterjee, Krishnendu, Martin Chmelik, Deep Karkhanis, Petr Novotný, and Amélie Royer. “Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications.” In Proceedings of the 30th International Conference on Automated Planning and Scheduling, 30:48–56. Association for the Advancement of Artificial Intelligence, 2020.
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2020 | Book Chapter | IST-REx-ID: 8092 |
Royer, Amélie, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, and Kevin Murphy. “XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.” In Domain Adaptation for Visual Understanding, edited by Richa Singh, Mayank Vatsa, Vishal M. Patel, and Nalini Ratha, 33–49. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-30671-7_3.
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2020 | Thesis | IST-REx-ID: 8390 |
Royer, Amélie. “Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models.” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8390.
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2017 | Conference Paper | IST-REx-ID: 911 |
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.
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6 Publications
2020 | Conference Paper | IST-REx-ID: 7936 |
Royer, Amélie, and Christoph Lampert. “Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.” In IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020. https://doi.org/10.1109/WACV45572.2020.9093288.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
2020 | Conference Paper | IST-REx-ID: 7937 |
Royer, Amélie, and Christoph Lampert. “A Flexible Selection Scheme for Minimum-Effort Transfer Learning.” In 2020 IEEE Winter Conference on Applications of Computer Vision. IEEE, 2020. https://doi.org/10.1109/WACV45572.2020.9093635.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
2020 | Conference Paper | IST-REx-ID: 8193
Chatterjee, Krishnendu, Martin Chmelik, Deep Karkhanis, Petr Novotný, and Amélie Royer. “Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications.” In Proceedings of the 30th International Conference on Automated Planning and Scheduling, 30:48–56. Association for the Advancement of Artificial Intelligence, 2020.
View
| Files available
2020 | Book Chapter | IST-REx-ID: 8092 |
Royer, Amélie, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, and Kevin Murphy. “XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.” In Domain Adaptation for Visual Understanding, edited by Richa Singh, Mayank Vatsa, Vishal M. Patel, and Nalini Ratha, 33–49. Springer Nature, 2020. https://doi.org/10.1007/978-3-030-30671-7_3.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
2020 | Thesis | IST-REx-ID: 8390 |
Royer, Amélie. “Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models.” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8390.
[Published Version]
View
| Files available
| DOI
2017 | Conference Paper | IST-REx-ID: 911 |
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