Viktoriia Sharmanska
Viktoriia Sharmanska
Imperial College Research Fellow
Adresse e-mail validée de imperial.ac.uk - Page d'accueil
Titre
Citée par
Citée par
Année
Learning to rank using privileged information
V Sharmanska, N Quadrianto, CH Lampert
International Conference on Computer Vision (ICCV), 825-832, 2013
1912013
Curriculum learning of multiple tasks
A Pentina, V Sharmanska, CH Lampert
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
1802015
Augmented attribute representations
V Sharmanska, N Quadrianto, CH Lampert
European Conference on Computer Vision (ECCV), 242-255, 2012
1102012
Recycling privileged learning and distribution matching for fairness
N Quadrianto, V Sharmanska
Advances in Neural Information Processing Systems 30, 677-688, 2017
452017
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
Discovering fair representations in the data domain
N Quadrianto, V Sharmanska, O Thomas
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
402019
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
372019
Learning to transfer privileged information
V Sharmanska, N Quadrianto, CH Lampert
arXiv preprint arXiv:1410.0389, 2014
292014
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
252016
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
D Kollias, V Sharmanska, S Zafeiriou
arXiv preprint arXiv:2105.03790, 2021
232021
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
122016
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
52021
Contrastive examples for addressing the tyranny of the majority
V Sharmanska, LA Hendricks, T Darrell, N Quadrianto
arXiv preprint arXiv:2004.06524, 2020
42020
In the era of deep convolutional features: Are attributes still useful privileged data?
V Sharmanska, N Quadrianto
Visual Attributes, 31-48, 2017
42017
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
32020
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
32018
Learning Using Unselected Features (LUFe)
JG Taylor, V Sharmanska, K Kersting, D Weir, N Quadrianto
International Joint Conference on Artificial Intelligence (IJCAI), 2016
32016
Head2HeadFS: Video-based Head Reenactment with Few-shot Learning
MC Doukas, MR Koujan, V Sharmanska, S Zafeiriou
arXiv preprint arXiv:2103.16229, 2021
2021
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
2021
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20