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Vitaliy Kinakh
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2020 – today
- 2024
- [j5]Vitaliy Kinakh
, Mariia Drozdova
, Slava Voloshynovskiy
:
MV-MR: Multi-Views and Multi-Representations for Self-Supervised Learning and Knowledge Distillation. Entropy 26(6): 466 (2024) - [j4]Vitaliy Kinakh
, Yury Belousov
, Guillaume Quétant
, Mariia Drozdova
, Taras Holotyak
, Daniel Schaerer
, Slava Voloshynovskiy
:
Hubble Meets Webb: Image-to-Image Translation in Astronomy. Sensors 24(4): 1151 (2024) - [i9]Mariia Drozdova, Vitaliy Kinakh, Omkar Bait, Olga Taran, Erica Lastufka, Miroslava Dessauges-Zavadsky, Taras Holotyak, Daniel Schaerer, Slava Voloshynovskiy:
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model. CoRR abs/2402.10204 (2024) - [i8]Francesco P. Ramunno, Stefan Hackstein, Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, André Csillaghy, Sviatoslav Voloshynovskiy:
Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data. CoRR abs/2404.02552 (2024) - 2023
- [j3]Stefan Hackstein
, Vitaliy Kinakh
, C. Bailer, Martin Melchior:
Evaluation metrics for galaxy image generators. Astron. Comput. 42: 100685 (2023) - [j2]Guillaume Quétant
, Yury Belousov
, Vitaliy Kinakh
, Slava Voloshynovskiy
:
TURBO: The Swiss Knife of Auto-Encoders. Entropy 25(10): 1471 (2023) - [c5]Yury Belousov, Olga Taran, Vitaliy Kinakh, Slava Voloshynovskiy:
Stochastic Digital Twin for Copy Detection Patterns. WIFS 2023: 1-6 - [i7]Vitaliy Kinakh
, Mariia Drozdova, Slava Voloshynovskiy:
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation. CoRR abs/2303.12130 (2023) - [i6]Yury Belousov, Olga Taran, Vitaliy Kinakh, Slava Voloshynovskiy:
Stochastic Digital Twin for Copy Detection Patterns. CoRR abs/2309.16866 (2023) - [i5]Guillaume Quétant, Yury Belousov, Vitaliy Kinakh, Slava Voloshynovskiy:
TURBO: The Swiss Knife of Auto-Encoders. CoRR abs/2311.06527 (2023) - 2022
- [j1]Shideh Rezaeifar
, Slava Voloshynovskiy
, Meisam Asgari Jirhandeh
, Vitaliy Kinakh
:
Privacy-Preserving Image Template Sharing Using Contrastive Learning. Entropy 24(5): 643 (2022) - 2021
- [c4]Vitaliy Kinakh
, Olga Taran, Svyatoslav Voloshynovskiy:
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets. ICCVW 2021: 1098-1106 - [i4]Vitaliy Kinakh, Olga Taran, Svyatoslav Voloshynovskiy:
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets. CoRR abs/2108.13939 (2021) - [i3]Mariia Drozdova, Vitaliy Kinakh, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy:
Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks. CoRR abs/2112.09646 (2021) - [i2]Vitaliy Kinakh, Mariia Drozdova, Guillaume Quétant, Tobias Golling, Slava Voloshynovskiy:
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN. CoRR abs/2112.09653 (2021) - [i1]Guillaume Quétant, Mariia Drozdova, Vitaliy Kinakh, Tobias Golling, Slava Voloshynovskiy:
Turbo-Sim: a generalised generative model with a physical latent space. CoRR abs/2112.10629 (2021) - 2020
- [c3]Vitaliy Kinakh
, Tomohiro Oda, Rostyslav Bun:
Algorithms for Analysis of Geolocation Error of Nightlight Satellite Data and Greenhouse Gas Data Calculated on Their Basis. CSIT (1) 2020: 84-87 - [c2]Vitalii Kinakh
, Tomohiro Oda
, Rostyslav Bun
:
Formulating a Geolocation Bias Correction for DMSP Nighttime Lights of Global Cities. CSIT 2020: 383-398
2010 – 2019
- 2017
- [c1]Vitaliy Kinakh
, Rostyslav Bun
, Olha Danylo
:
Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine. CSIT (1) 2017: 212-215
Coauthor Index
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last updated on 2024-07-20 20:29 CEST by the dblp team
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