Vitaliy Kinakh

According to our database, Vitaliy Kinakh authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hubble Meets Webb: Image-to-Image Translation in Astronomy.

Vitaliy Kinakh, Yury Belousov, Guillaume Quétant, Mariia Drozdova, Taras Holotyak, Daniel Schaerer, Slava Voloshynovskiy

Sensors, February, 2024

Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model.

Mariia Drozdova, Vitaliy Kinakh, Omkar Bait, Olga Taran, Erica Lastufka, Miroslava Dessauges-Zavadsky, Taras Holotyak, Daniel Schaerer, Slava Voloshynovskiy

CoRR, 2024

2023

TURBO: The Swiss Knife of Auto-Encoders.

Guillaume Quétant, Yury Belousov, Vitaliy Kinakh, Slava Voloshynovskiy

Entropy, October, 2023

Evaluation metrics for galaxy image generators.

Stefan Hackstein, Vitaliy Kinakh, C. Bailer, Martin Melchior

Astron. Comput., January, 2023

MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation.

Vitaliy Kinakh, Mariia Drozdova, Slava Voloshynovskiy

CoRR, 2023

Stochastic Digital Twin for Copy Detection Patterns.

Yury Belousov, Olga Taran, Vitaliy Kinakh, Slava Voloshynovskiy

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

2022

Privacy-Preserving Image Template Sharing Using Contrastive Learning.

Shideh Rezaeifar, Slava Voloshynovskiy, Meisam Asgari Jirhandeh, Vitaliy Kinakh

Entropy, 2022

2021

Turbo-Sim: a generalised generative model with a physical latent space.

Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling, Slava Voloshynovskiy

CoRR, 2021

Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN.

Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy

CoRR, 2021

Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks.

Mariia Drozdova, Vitaliy Kinakh, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy

CoRR, 2021

ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets.

Vitaliy Kinakh, Olga Taran, Svyatoslav Voloshynovskiy

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Algorithms for Analysis of Geolocation Error of Nightlight Satellite Data and Greenhouse Gas Data Calculated on Their Basis.

Vitaliy Kinakh, Tomohiro Oda, Rostyslav Bun

Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

Formulating a Geolocation Bias Correction for DMSP Nighttime Lights of Global Cities.

Vitalii Kinakh, Tomohiro Oda, Rostyslav Bun

Proceedings of the Advances in Intelligent Systems and Computing V, 2020

2017

Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine.

Vitaliy Kinakh, Rostyslav Bun, Olha Danylo

Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017