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Viktoriia Sharmanska
Viktoriia Sharmanska
Imperial College Research Fellow
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Curriculum learning of multiple tasks
A Pentina, V Sharmanska, CH Lampert
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
2012015
Learning to rank using privileged information
V Sharmanska, N Quadrianto, CH Lampert
International Conference on Computer Vision (ICCV), 825-832, 2013
1992013
Augmented attribute representations
V Sharmanska, N Quadrianto, CH Lampert
European Conference on Computer Vision (ECCV), 242-255, 2012
1102012
Discovering fair representations in the data domain
N Quadrianto, V Sharmanska, O Thomas
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
652019
Face behavior a la carte: Expressions, affect and action units in a single network
D Kollias, V Sharmanska, S Zafeiriou
arXiv preprint arXiv:1910.11111, 2019
612019
Recycling privileged learning and distribution matching for fairness
N Quadrianto, V Sharmanska
Advances in Neural Information Processing Systems 30, 2017
542017
Distribution matching for heterogeneous multi-task learning: a large-scale face study
D Kollias, V Sharmanska, S Zafeiriou
arXiv preprint arXiv:2105.03790, 2021
442021
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
D Hernández-Lobato, V Sharmanska, K Kersting, CH Lampert, ...
Advances in Neural Information Processing Systems (NIPS), 837-845, 2014
412014
Learning to transfer privileged information
V Sharmanska, N Quadrianto, CH Lampert
arXiv preprint arXiv:1410.0389, 2014
312014
Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations
V Sharmanska, D Hernández-Lobato, JM Hernández-Lobato, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
272016
Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning
V Sharmanska, N Quadrianto
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
112016
The supervised IBP: Neighbourhood preserving infinite latent feature models
N Quadrianto, V Sharmanska, DA Knowles, Z Ghahramani
The Conference on Uncertainty in Artificial Intelligence (UAI), 2013
112013
Head2head++: Deep facial attributes re-targeting
MC Doukas, MR Koujan, V Sharmanska, A Roussos, S Zafeiriou
IEEE Transactions on Biometrics, Behavior, and Identity Science 3 (1), 31-43, 2021
62021
Contrastive examples for addressing the tyranny of the majority
V Sharmanska, LA Hendricks, T Darrell, N Quadrianto
arXiv preprint arXiv:2004.06524, 2020
62020
Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology
AH Truong, V Sharmanska, C Limbӓck-Stanic, M Grech-Sollars
Neuro-Oncology Advances 2 (1), vdaa110, 2020
62020
WiCV 2018: the fourth women in computer vision workshop
I Demir, D Bazazian, A Romero, V Sharmanska, LP Tchapmi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
42018
In the era of deep convolutional features: Are attributes still useful privileged data?
V Sharmanska, N Quadrianto
Visual Attributes, 31-48, 2017
42017
Learning Using Unselected Features (LUFe)
JG Taylor, V Sharmanska, K Kersting, D Weir, N Quadrianto
International Joint Conference on Artificial Intelligence (IJCAI), 2016
42016
HeadGAN: One-shot Neural Head Synthesis and Editing
MC Doukas, S Zafeiriou, V Sharmanska
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
32021
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image
T Martyniuk, O Kupyn, Y Kurlyak, I Krashenyi, J Matas, V Sharmanska
arXiv preprint arXiv:2204.03688, 2022
2022
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