Laurens Meeus

Conference Paper
C1
open access

Translations and Open Science : exploring how translation technologies can support multilingualism in scholarly communication

Susanna Fiorini, Arda Tezcan (UGent) , Tom Vanallemeersch, Sara Szoc, Kristin Migdisi, Laurens Meeus and Lieve Macken (UGent)

(2023) Proceedings of the International Conference HiT-IT 2023. In Workshop on Human-Informed Translation and Interpreting Technology p.41-51

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Conference Paper
P1
open access

Assisting classical paintings restoration : efﬁcient paint loss detection and descriptor-based inpainting using shared pretraining

Laurens Meeus (UGent) , Shaoguang Huang (UGent) , Nina Žižakić (UGent) , Xianghui Xie, Bart Devolder, Hélène Dubois (UGent) , Maximiliaan Martens (UGent) and Aleksandra Pizurica (UGent)

(2021) Optics, Photonics and Digital Technologies for Imaging Applications VI. In Proceedings of SPIE 11353.

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Conference Paper
P1
open access

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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Journal Article
A1
open access

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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Conference Paper
C1
open access

Autoencoder-learned local image descriptor for image inpainting

Nina Žižakić (UGent) , Izumi Ito, Laurens Meeus and Aleksandra Pizurica (UGent)

(2019) Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019). In CEUR workshop proceedings 2491.

Academic Bibliography

Laurens Meeus

Translations and Open Science : exploring how translation technologies can support multilingualism in scholarly communication

Assisting classical paintings restoration : efﬁcient paint loss detection and descriptor-based inpainting using shared pretraining

A two-stream neural network architecture for the detection and analysis of cracks in panel paintings

Crack detection in paintings using convolutional neural networks

Autoencoder-learned local image descriptor for image inpainting

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