Projects per year
Abstract
Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene. Motivated by the important role of attention in human perception, we tackle this limitation by introducing unsupervised attention mechanisms that are jointly adversarially trained with the generators and discriminators. We demonstrate qualitatively and quantitatively that our approach attends to relevant regions in the image without requiring supervision, which creates more realistic mappings when compared to those of recent approaches.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 665992
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 665992
Original language | English |
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Title of host publication | Advances in Neural Information Processing Systems 31 (NIPS), 2018 |
Editors | S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, R. Garnett |
Publisher | Neural Information Processing Systems Foundation, Inc. |
Pages | 1-22 |
Number of pages | 22 |
Publication status | Published - 31 Dec 2018 |
Event | NIPS 2018 - 32nd Conference on Neural Information Processing Systems - Duration: 3 Dec 2018 → 8 Dec 2018 |
Publication series
Name | NIPS Proceedings |
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Publisher | Neural Information Processing Systems Foundation, Inc. |
ISSN (Electronic) | 1049-5258 |
Conference
Conference | NIPS 2018 - 32nd Conference on Neural Information Processing Systems |
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Period | 3/12/18 → 8/12/18 |
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Dive into the research topics of 'Unsupervised Attention-guided Image-to-Image Translation'. Together they form a unique fingerprint.Projects
- 3 Finished
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Fellow for Industrial Research Enhancement (FIRE)
Scott, J. L. & Yang, Y.
1/10/15 → 30/03/21
Project: EU Commission
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Cosker, D., Bilzon, J., Campbell, N., Cazzola, D., Colyer, S., Fincham Haines, T., Hall, P., Kim, K. I., Lutteroth, C., McGuigan, P., O'Neill, E., Richardt, C., Salo, A., Seminati, E., Tabor, A. & Yang, Y.
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council
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EPSRC Centre for Doctoral Training in Digital Entertainment
Willis, P.
1/04/14 → 30/09/22
Project: Research-related funding