Ukrainian Catholic University

∙ Lviv , Ukraine ∙ 0 followers

The Ukrainian Catholic University is a Catholic university in Lviv, Ukraine, affiliated with the Ukrainian Greek Catholic Church.

Featured Researchers

Orest Kupyn
5 publications
Oles Dobosevych
5 publications
Mariia Dobko
4 publications
Ostap Viniavskyi
3 publications
Volodymyr Budzan
2 publications
Oleh Lukianykhin
2 publications
Tetiana Bogodorova
2 publications
Mykola Mykhailych
1 publication
Irynei Baran
1 publication
Tetiana Martyniuk
1 publication
Serhii Brodiuk
1 publication

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better

We present a new end-to-end generative adversarial network (GAN) for sin...
08/10/2019 ∙ by Orest Kupyn, et al. ∙ 6 ∙ share

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ActGAN: Flexible and Efficient One-shot Face Reenactment

This paper introduces ActGAN - a novel end-to-end generative adversarial...
03/30/2020 ∙ by Ivan Kosarevych, et al. ∙ 6 ∙ share

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DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

We present an end-to-end learning approach for motion deblurring, which ...
11/19/2017 ∙ by Orest Kupyn, et al. ∙ 0 ∙ share

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Safe Augmentation: Learning Task-Specific Transformations from Data

Data augmentation is widely used as a part of the training process appli...
07/30/2019 ∙ by Irynei Baran, et al. ∙ 0 ∙ share

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ModelicaGym: Applying Reinforcement Learning to Modelica Models

This paper presents ModelicaGym toolbox that was developed to employ Rei...
09/18/2019 ∙ by Oleh Lukianykhin, et al. ∙ 0 ∙ share

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Embedding technique and network analysis of scientific innovations emergence in an arXiv-based concept network

Novelty is an inherent part of innovations and discoveries. Such process...
03/23/2020 ∙ by Serhii Brodiuk, et al. ∙ 0 ∙ share

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Reinforcement Learning for Thermostatically Controlled Loads Control using Modelica and Python

The aim of the project is to investigate and assess opportunities for ap...
05/09/2020 ∙ by Oleh Lukianykhin, et al. ∙ 0 ∙ share

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Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images

Deep Convolutional Neural Networks have proven effective in solving the ...
07/01/2020 ∙ by Ostap Viniavskyi, et al. ∙ 0 ∙ share

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