Article

Doukas, Michail Christos, Koujan, Mohammad Rami, Sharmanska, Viktoriia, Roussos, Anastasios and Zafeiriou, Stefanos (2021) Head2Head++: deep facial attributes re-targeting. IEEE Transactions on Biometrics, Behavior, and Identity Science, 3 (1). pp. 31-43. ISSN 2637-6407

Truong, An Hoai, Sharmanska, Viktoriia, Limbӓck-Stanic, Clara and Grech-Sollars, Matthew (2020) Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology. Neuro-Oncology Advances, 2 (1). pp. 1-13. ISSN 2632-2498

Book Section

Sharmanska, Viktoriia and Quadrianto, Novi (2017) In the era of deep convolutional features: are attributes still useful privileged data? In: Feris, Rogerio Schmidt, Lampert, Christoph and Parikh, Devi (eds.) Visual Attributes. Advances in computer vision and pattern recognition . Springer International Publishing, Cham, Switzerland, pp. 31-48. ISBN 9783319500751

Sharmanska, Viktoriia and Quadrianto, Novi (2017) Learning using privileged information. In: Sammut, Claude and Webb, Geoffrey I (eds.) Encyclopedia of machine learning and data mining. Springer US, Boston, MA, pp. 734-737. ISBN 9781489976857

Conference Proceedings

Romiti, Sara, Inskip, Christopher, Sharmanska, Viktoriia and Quadrianto, Novi (2022) RealPatch: a statistical matching framework for model patching with real samples. European Conference on Computer Vision, Tel Aviv, October 23-27, 2022. Published in: European Conference on Computer Vision. 1-17. Springer

Martyniuk, Tetiana, Kupyn, Orest, Kurlyak, Yana, Krashenyi, Igor, Matas, Jiři and Sharmanska, Viktoriia (2022) DAD-3DHeads: a large-scale dense, accurate and diverse dataset for 3D head alignment from a single image. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 19th - 24th June 2022. Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. 20942-20952. IEEE ISBN 9781665469463

Bartlett, Myles, Romiti, Sara, Sharmanska, Viktoriia and Quadrianto, Novi (2022) Okapi: generalising better by making statistical matches match. Thirty-sixth Conference on Neural Information Processing Systems, New Orleans, November 28th through December 9th. Published in: Advances in Neural Information Processing Systems 36. NeurIPS (Accepted)

Doukas, Michail Christos, Zafeiriou, Stefanos and Sharmanska, Viktoriia (2021) HeadGAN: one-shot neural head synthesis and editing. International Conference on Computer Vision (ICCV), Virtual, October 11 - 17 2021. Published in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021. 14398-14407. Computer Vision Foundation

Quadrianto, Novi, Sharmanska, Viktoriia and Thomas, Oliver (2019) Discovering fair representations in the data domain. CVPR 2019, Long Beach, California, US, June 15th - June 20th 2019. Published in: Conference on Computer Vision and Pattern Recognition (CVPR). 1 8219-8228. Institute of Electrical and Electronics Engineers, Los Alamitos, CA. ISSN 2575-7075 ISBN 9781728132938

Quadrianto, Novi and Sharmanska, Viktoriia (2018) Recycling privileged learning and distribution matching for fairness. 31st Annual Conference on Neural Information Processing Systems, Long Beach, California, US, 4-9 December 2017. Published in: Advances in Neural Information Processing Systems 30 (NIPS 2017). 1-12. Neural Information Processing Systems Foundation, Red Hook, NY.

Sharmanska, Viktoriia, Hernández-Lobato, Daniel, Hernández-Lobato, Jose Miguel and Quadrianto, Novi (2016) Ambiguity helps: classification with disagreements in crowdsourced annotations. Published in: Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016); Las Vegas, Nevada; 26 June - 1 July 2016. 2194-2202. Institute of Electrical and Electronics Engineers ISSN 1063-6919 ISBN 9781467388504

Sharmanska, Viktoriia and Quadrianto, Novi (2016) Learning from the mistakes of others: matching errors in cross dataset learning. Published in: Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016); Las Vegas, Nevada; 26 June - 1 July 2016. 3967-3975. Institute of Electrical and Electronics Engineers ISSN 1063-6919 ISBN 9781467388504

Taylor, Joseph G, Sharmanska, Viktoriia, Kersting, Kristian, Weir, David and Quadrianto, Novi (2016) Learning using Unselected Features (LUFe). Published in: Kambhampati, Subbarao, (ed.) Proceedings of the 25th International Joint Conference on Artificial Intelligence; New York; 9–15 July 2016. 2060-2066. AAAI Press / International Joint Conferences on Artificial Intelligence ISBN 9781577357711

Pentina, Anastasia, Sharmanska, Viktoriia and Lampert, Christoph H (2015) Curriculum learning of multiple tasks. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, 7 - 12 Jun 2015. Published in: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 5492-5500. IEEE ISSN 1063-6919 ISBN 9781467369633