Viktoriia Sharmanska
Viktoriia Sharmanska
Imperial College Research Fellow
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Learning to rank using privileged information
V Sharmanska, N Quadrianto, CH Lampert
International Conference on Computer Vision (ICCV), 825-832, 2013
1672013
Curriculum learning of multiple tasks
A Pentina, V Sharmanska, CH Lampert
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
1342015
Augmented attribute representations
V Sharmanska, N Quadrianto, CH Lampert
European Conference on Computer Vision (ECCV), 242-255, 2012
962012
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
322014
Recycling privileged learning and distribution matching for fairness
N Quadrianto, V Sharmanska
Advances in Neural Information Processing Systems, 677-688, 2017
312017
Learning to transfer privileged information
V Sharmanska, N Quadrianto, CH Lampert
arXiv preprint arXiv:1410.0389, 2014
242014
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
192016
Discovering fair representations in the data domain
N Quadrianto, V Sharmanska, O Thomas
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
142019
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
102019
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
102016
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
92013
In the era of deep convolutional features: Are attributes still useful privileged data?
V Sharmanska, N Quadrianto
Visual Attributes, 31-48, 2017
32017
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
22018
Learning Using Unselected Features (LUFe)
JG Taylor, V Sharmanska, K Kersting, D Weir, N Quadrianto
International Joint Conference on Artificial Intelligence (IJCAI), 2016
22016
Head2Head++: Deep Facial Attributes Re-Targeting
MC Doukas, MR Koujan, V Sharmanska, A Roussos
arXiv preprint arXiv:2006.10199, 2020
2020
Contrastive Examples for Addressing the Tyranny of the Majority
V Sharmanska, LA Hendricks, T Darrell, N Quadrianto
arXiv preprint arXiv:2004.06524, 2020
2020
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
2020
Video-to-Video Translation for Visual Speech Synthesis
MC Doukas, V Sharmanska, S Zafeiriou
arXiv preprint arXiv:1905.12043, 2019
2019
Learning using privileged information
V Sharmanska, N Quadrianto
Springer US, 2017
2017
Learning with attributes for object recognition: Parametric and non-parametrics views
V Sharmanska
2015
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Articles 1–20