Viktoriia Sharmanska

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Lecturer

University of Sussex

United Kingdom

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About

Viktoriia Sharmanska is a Lecturer at the University of Sussex in the United Kingdom. Her research areas encompass unsupervised deep learning, urban development, digital infrastructure, and blockchain technology. She has contributed to various articles focusing on high-resolution satellite imagery applications, multi-task learning, and deep learning methods in digital pathology.

Recent Grants

Grant: Close

Deep Understanding of Human Behaviour from Video Data: Action+Emotion Approach

Open Date: 2017-09-01

Close Date: 2020-09-01

Articles (8)

Year:

2025

Year:

2024

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2023

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2023

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2023

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2022

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2021

Year:

2020

Collaborators (1)

Matthew Grech-Sollars

University College London Hospitals NHS Foundation Trust

UNITED KINGDOM

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Viktoriia Sharmanska

Research Interests

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About

Recent Grants

Articles (8)

Unsupervised deep clustering of high-resolution satellite imagery reveals phenotypes of urban development in Sub-Saharan Africa

Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond

Phenotyping urban built and natural environments with high-resolution satellite images and unsupervised deep learning

Free-HeadGAN: Neural Talking Head Synthesis With Explicit Gaze Control

Development of digital infrastructure and blockchain in Ukraine

Characterization of urban built and natural environments with high-resolution satellite images and unsupervised deep learning

Head2Head++: deep facial attributes re-targeting

Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology

Collaborators (1)

Matthew Grech-Sollars

Make your next move.

Viktoriia Sharmanska

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (8)

Unsupervised deep clustering of high-resolution satellite imagery reveals phenotypes of urban development in Sub-Saharan Africa

Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces &amp; Beyond

Phenotyping urban built and natural environments with high-resolution satellite images and unsupervised deep learning

Free-HeadGAN: Neural Talking Head Synthesis With Explicit Gaze Control

Development of digital infrastructure and blockchain in Ukraine

Characterization of urban built and natural environments with high-resolution satellite images and unsupervised deep learning

Head2Head++: deep facial attributes re-targeting

Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology

Collaborators (1)

Matthew Grech-Sollars

Make your next move.

Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces & Beyond