6 Publications

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[6]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Royer, Amélie, and Christoph Lampert. “Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.” IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020, pp. 1716–25, doi:10.1109/WACV45572.2020.9093288.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[5]
2020 | Conference Paper | IST-REx-ID: 8193
Chatterjee, Krishnendu, et al. “Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications.” Proceedings of the 30th International Conference on Automated Planning and Scheduling, vol. 30, Association for the Advancement of Artificial Intelligence, 2020, pp. 48–56.
View | Files available
 
[4]
2020 | Book Chapter | IST-REx-ID: 8092 | OA
Royer, Amélie, et al. “XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.” Domain Adaptation for Visual Understanding, edited by Richa Singh et al., Springer Nature, 2020, pp. 33–49, doi:10.1007/978-3-030-30671-7_3.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Thesis | IST-REx-ID: 8390 | OA
Royer, Amélie. Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models. IST Austria, 2020, doi:10.15479/AT:ISTA:8390.
View | Files available | DOI
 
[2]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
Royer, Amélie, and Christoph Lampert. “A Flexible Selection Scheme for Minimum-Effort Transfer Learning.” 2020 IEEE Winter Conference on Applications of Computer Vision, 2180–2189, IEEE, 2020, doi:10.1109/WACV45572.2020.9093635.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[1]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer, Amélie, et al. Probabilistic Image Colorization. BMVA Press, 2017, p. 85.1-85.12, doi:10.5244/c.31.85.
View | Files available | DOI | arXiv
 

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6 Publications

Mark all

[6]
2020 | Conference Paper | IST-REx-ID: 7936 | OA
Royer, Amélie, and Christoph Lampert. “Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios.” IEEE Winter Conference on Applications of Computer Vision, IEEE, 2020, pp. 1716–25, doi:10.1109/WACV45572.2020.9093288.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[5]
2020 | Conference Paper | IST-REx-ID: 8193
Chatterjee, Krishnendu, et al. “Multiple-Environment Markov Decision Processes: Efficient Analysis and Applications.” Proceedings of the 30th International Conference on Automated Planning and Scheduling, vol. 30, Association for the Advancement of Artificial Intelligence, 2020, pp. 48–56.
View | Files available
 
[4]
2020 | Book Chapter | IST-REx-ID: 8092 | OA
Royer, Amélie, et al. “XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings.” Domain Adaptation for Visual Understanding, edited by Richa Singh et al., Springer Nature, 2020, pp. 33–49, doi:10.1007/978-3-030-30671-7_3.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Thesis | IST-REx-ID: 8390 | OA
Royer, Amélie. Leveraging Structure in Computer Vision Tasks for Flexible Deep Learning Models. IST Austria, 2020, doi:10.15479/AT:ISTA:8390.
View | Files available | DOI
 
[2]
2020 | Conference Paper | IST-REx-ID: 7937 | OA
Royer, Amélie, and Christoph Lampert. “A Flexible Selection Scheme for Minimum-Effort Transfer Learning.” 2020 IEEE Winter Conference on Applications of Computer Vision, 2180–2189, IEEE, 2020, doi:10.1109/WACV45572.2020.9093635.
View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[1]
2017 | Conference Paper | IST-REx-ID: 911 | OA
Royer, Amélie, et al. Probabilistic Image Colorization. BMVA Press, 2017, p. 85.1-85.12, doi:10.5244/c.31.85.
View | Files available | DOI | arXiv
 

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