Sharmanska, Viktoriia

17 publications

TMLR 2025 Visual-Word Tokenizer: Beyond Fixed Sets of Tokens in Vision Transformers Leonidas Gee, Wing Yan Li, Viktoriia Sharmanska, Novi Quadrianto

TMLR 2024 Addressing Attribute Bias with Adversarial Support-Matching Thomas Kehrenberg, Myles Bartlett, Viktoriia Sharmanska, Novi Quadrianto

AAAI 2024 Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond Dimitrios Kollias, Viktoriia Sharmanska, Stefanos Zafeiriou

CVPR 2022 DAD-3DHeads: A Large-Scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image Tetiana Martyniuk, Orest Kupyn, Yana Kurlyak, Igor Krashenyi, Jiří Matas, Viktoriia Sharmanska

NeurIPS 2022 Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett, Sara Romiti, Viktoriia Sharmanska, Novi Quadrianto

ECCV 2022 RealPatch: A Statistical Matching Framework for Model Patching with Real Samples Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto

ICCV 2021 HeadGAN: One-Shot Neural Head Synthesis and Editing Michail Christos Doukas, Stefanos Zafeiriou, Viktoriia Sharmanska

CVPRW 2018 WiCV 2018: The Fourth Women in Computer Vision Workshop Ilke Demir, Dena Bazazian, Adriana Romero, Viktoriia Sharmanska, Lyne P. Tchapmi

NeurIPS 2017 Recycling Privileged Learning and Distribution Matching for Fairness Novi Quadrianto, Viktoriia Sharmanska

CVPR 2016 Ambiguity Helps: Classification with Disagreements in Crowdsourced Annotations Viktoriia Sharmanska, Daniel Hernandez-Lobato, Jose Miguel Hernandez-Lobato, Novi Quadrianto

IJCAI 2016 Learning Using Unselected Features (LUFe) Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting, David Weir, Novi Quadrianto

CVPR 2016 Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning Viktoriia Sharmanska, Novi Quadrianto

CVPR 2015 Curriculum Learning of Multiple Tasks Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert

NeurIPS 2014 Mind the Nuisance: Gaussian Process Classification Using Privileged Noise Daniel Hernández-lobato, Viktoriia Sharmanska, Kristian Kersting, Christoph H. Lampert, Novi Quadrianto

ICCV 2013 Learning to Rank Using Privileged Information Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert

UAI 2013 The Supervised IBP: Neighbourhood Preserving Infinite Latent Feature Models Novi Quadrianto, Viktoriia Sharmanska, David A. Knowles, Zoubin Ghahramani

ECCV 2012 Augmented Attribute Representations Viktoriia Sharmanska, Novi Quadrianto, Christoph H. Lampert