| Curriculum learning of multiple tasks A Pentina, V Sharmanska, CH Lampert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 305 | 2015 |
| Learning to rank using privileged information V Sharmanska, N Quadrianto, CH Lampert International Conference on Computer Vision (ICCV), 825-832, 2013 | 230 | 2013 |
| Distribution matching for heterogeneous multi-task learning: a large-scale face study D Kollias, V Sharmanska, S Zafeiriou arXiv preprint arXiv:2105.03790, 2021 | 207 | 2021 |
| 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 | 206 | 2019 |
| Discovering fair representations in the data domain N Quadrianto, V Sharmanska, O Thomas Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 174 | 2019 |
| 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 | 121 | 2021 |
| Recycling privileged learning and distribution matching for fairness N Quadrianto, V Sharmanska Advances in neural information processing systems 30, 2017 | 116 | 2017 |
| Augmented attribute representations V Sharmanska, N Quadrianto, CH Lampert European Conference on Computer Vision (ECCV), 242-255, 2012 | 114 | 2012 |
| 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 | 59 | 2021 |
| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 56 | 2022 |
| 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 | 49 | 2014 |
| 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 | 42 | 2016 |
| Learning to transfer privileged information V Sharmanska, N Quadrianto, CH Lampert arXiv preprint arXiv:1410.0389, 2014 | 37 | 2014 |
| 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 | 33 | 2020 |
| Contrastive examples for addressing the tyranny of the majority V Sharmanska, LA Hendricks, T Darrell, N Quadrianto arXiv preprint arXiv:2004.06524, 2020 | 28 | 2020 |
| Distribution matching for multi-task learning of classification tasks: a large-scale study on faces & beyond D Kollias, V Sharmanska, S Zafeiriou Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 2813-2821, 2024 | 20 | 2024 |
| Free-headgan: Neural talking head synthesis with explicit gaze control MC Doukas, E Ververas, V Sharmanska, S Zafeiriou IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9743-9756, 2023 | 18 | 2023 |
| 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 | 14 | 2016 |
| 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 | 11 | 2013 |
| Phenotyping urban built and natural environments with high-resolution satellite images and unsupervised deep learning AB Metzler, R Nathvani, V Sharmanska, W Bai, E Muller, S Moulds, ... Science of the Total Environment 893, 164794, 2023 | 8 | 2023 |
Novi QuadriantoProfessor of Machine Learning, University of Sussex UK, BCAM Spain, Monash IndonesiaOverená e-mailová adresa na: sussex.ac.uk
