Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Roman Sizyakin

ORCID iD: 0000-0003-1774-8157

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- PhD Thesis
Deep learning methods for crack detection and image restoration with application to digitized paintings

Roman Sizyakin (UGent)

(2022)
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- Journal Article
- A1
- open access
Virtual restoration of paintings using adaptive adversarial neural network

Roman Sizyakin (UGent) , Viacheslav Voronin, Aleksandr Zelensky and Aleksandra Pizurica (UGent)

(2022) JOURNAL OF ELECTRONIC IMAGING. 31(4).
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- Conference Paper
- P1
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Virtual restoration of paintings based on deep learning

Roman Sizyakin (UGent) , Viacheslav Voronin and Aleksandra Pizurica (UGent)

(2022) Fourteenth International Conference on Machine Vision (ICMV 2021). In Proceedings of SPIE 12084.
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- P1
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Automated visual inspection of fabric image using deep learning approach for defect detection

Vyacheslav V. Voronin, Roman Sizyakin (UGent) , Marina Zhdanova, Evgenii A. Semenishchev, Dmitry Bezuglov and Aleksander A. Zelemskii

(2021) AUTOMATED VISUAL INSPECTION AND MACHINE VISION IV. In Proceedings of SPIE 11787.
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A two-stream neural network architecture for the detection and analysis of cracks in panel paintings

Roman Sizyakin (UGent) , Bruno Cornelis, Laurens Meeus (UGent) , Viacheslav Voronin and Aleksandra Pizurica (UGent)

(2021) Optics, Photonics and Digital Technologies for Imaging Applications VI. In Proceedings of SPIE 11353.
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A deep learning approach to crack detection on road surfaces

Roman Sizyakin (UGent) , Viacheslav V. Voronin, Nikolay Gapon and Aleksandra Pizurica (UGent)

(2020) Artificial Intelligence and Machine Learning in Defense Applications II. In Proceedings of SPIE 11543.
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A deep learning-based approach for defect detection and removing on archival photos

Roman Sizyakin (UGent) , V. Voronin, N. Gapon, A. Zelensky and Aleksandra Pizurica (UGent)

(2020) IS&T International Symposium on Electronic Imaging Science and Technology. p.029-1-029-7
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- Journal Article
- A1
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Crack detection in paintings using convolutional neural networks

Roman Sizyakin (UGent) , Bruno Cornelis, Laurens Meeus (UGent) , Hélène Dubois (UGent) , Maximiliaan Martens (UGent) , Viacheslav Voronin and Aleksandra Pizurica (UGent)

(2020) IEEE ACCESS. 8(1). p.74535-74552
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Automated visual inspection algorithm for the reflection detection and removing in image sequences

Roman Sizyakin (UGent) , Viacheslav V. Voronin, Nikolay Gapon, Alexey Nadykto, Aleksandra Pizurica (UGent) and Alexander Zelensky

(2020) TWELFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2019). In Proceedings of SPIE 11433.
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- C1
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Image defect detection algorithm based on deep learning

Roman Sizyakin (UGent) , V V Voronin, N V Gapon, A A Zelensky and Aleksandra Pizurica (UGent)

(2019) XV International Scientific-Technical Conference 'Dynamics of Technical Systems' 11–13 September 2019, Don State Technical University, Rostov-on-Don, Russian Federation. In IOP Conference Series : Materials Science and Engineering 680.

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