Yury Belousov

Orcid: 0000-0001-6461-734X

Affiliations:
  • University of Geneva, Switzerland


According to our database1, Yury Belousov authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Hubble Meets Webb: Image-to-Image Translation in Astronomy.
Sensors, February, 2024

Authentication of Copy Detection Patterns: A Pattern Reliability Based Approach.
IEEE Trans. Inf. Forensics Secur., 2024

A Machine Learning-Based Digital Twin for Anti-Counterfeiting Applications With Copy Detection Patterns.
IEEE Trans. Inf. Forensics Secur., 2024

Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition.
CoRR, 2024

Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks.
CoRR, 2024

2023
TURBO: The Swiss Knife of Auto-Encoders.
Entropy, October, 2023

Stochastic Digital Twin for Copy Detection Patterns.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

2022
Solving the Weather4cast Challenge via Visual Transformers for 3D Images.
CoRR, 2022

Mathematical model of printing-imaging channel for blind detection of fake copy detection patterns.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2022

Anomaly localization for copy detection patterns through print estimations.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2022

Printing variability of copy detection patterns.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2022

Digital twins of physical printing-imaging channel.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2022

Authentication Of Copy Detection Patterns Under Machine Learning Attacks: A Supervised Approach.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021



2020
Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020


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