Follow
Vitaliy Kinakh
Title
Cited by
Cited by
Year
Errors and uncertainties in a gridded carbon dioxide emissions inventory
T Oda, R Bun, V Kinakh, P Topylko, M Halushchak, G Marland, T Lauvaux, ...
Mitigation and Adaptation Strategies for Global Change 24, 1007-1050, 2019
972019
Development of a high-resolution spatial inventory of greenhouse gas emissions for Poland from stationary and mobile sources
R Bun, Z Nahorski, J Horabik-Pyzel, O Danylo, L See, N Charkovska, ...
Mitigation and Adaptation Strategies for Global Change 24, 853-880, 2019
412019
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
V Kinakh, O Taran, S Voloshynovskiy
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
152021
Evaluation metrics for galaxy image generators
S Hackstein, V Kinakh, C Bailer, M Melchior
Astronomy and Computing 42, 100685, 2023
72023
Privacy-preserving image template sharing using contrastive learning
S Rezaeifar, S Voloshynovskiy, M Asgari Jirhandeh, V Kinakh
Entropy 24 (5), 643, 2022
62022
Turbo-Sim: A generalised generative model with a physical latent space
G Quétant, M Drozdova, V Kinakh, T Golling, S Voloshynovskiy
arXiv preprint arXiv:2112.10629, 2021
52021
Geoinformation Technology for Analysis and Visualisation of High Spatial Resolution Greenhouse Gas Emissions Data Using a Cloud Platform
OD V Kinakh, R Bun
Advances in Intelligent Systems and Computing, 217-229, 2018
42018
TURBO: The Swiss Knife of Auto-Encoders
G Quétant, Y Belousov, V Kinakh, S Voloshynovskiy
Entropy 25 (10), 1471, 2023
32023
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
V Kinakh, M Drozdova, G Quétant, T Golling, S Voloshynovskiy
arXiv preprint arXiv:2112.09653, 2021
22021
Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine
V Kinakh, R Bun, O Danylo
2017 12th International Scientific and Technical Conference on Computer …, 2017
22017
Hubble Meets Webb: Image-to-Image Translation in Astronomy
V Kinakh, Y Belousov, G Quétant, M Drozdova, T Holotyak, D Schaerer, ...
Sensors 24 (4), 1151, 2024
12024
Mitigating geolocation errors in nighttime light satellite data and global CO2 emission gridded data
ON V. Kinakh, T. Oda, R. Bun
Mathematical Modeling and Computing 8, 304-316, 2021
12021
Formulating a Geolocation Bias Correction for DMSP Nighttime Lights of Global Cities
V Kinakh, R Oda, Tomohiro, Bun
Advances in Intelligent Systems and Computing 1293, 383-398, 2021
12021
Algorithms for analysis of geolocation error of nightlight satellite data and greenhouse gas data calculated on their basis
V Kinakh, R Oda, Tomohiro, Bun
15th International Scientific and Technical Conference on Computer Science …, 2020
12020
Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data
FP Ramunno, S Hackstein, V Kinakh, M Drozdova, G Quétant, A Csillaghy, ...
Astronomy & Astrophysics 686, A285, 2024
2024
MV–MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation
V Kinakh, M Drozdova, S Voloshynovskiy
Entropy 26 (6), 466, 2024
2024
Visualizing three years of STIX X-ray flare observations using self-supervised learning
M Drozdova, V Kinakh, F Ramunno, E Lastufka, S Voloshynovskiy
EGU24, 2024
2024
Radio-astronomical image reconstruction with a conditional denoising diffusion model
M Drozdova, V Kinakh, O Bait, O Taran, E Lastufka, ...
Astronomy & Astrophysics 683, A105, 2024
2024
Stochastic Digital Twin for Copy Detection Patterns
Y Belousov, O Taran, V Kinakh, S Voloshynovskiy
2023 IEEE International Workshop on Information Forensics and Security (WIFS …, 2023
2023
Using Machine Learning [TK1](ML) models for computing VIIRS-like nighttime lights based on DMSP satellite data
T Kutsyk, V Kinakh, T Oda, R Bun
Основні напрямки роботи Секція, 94, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–20