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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P1
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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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P1
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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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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
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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.

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C1
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Partial convolution based multimodal autoencoder for art investigation

Xianghui Xie, 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.

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Deep learning for paint loss detection with a multiscale, translation invariant network

Laurens Meeus (UGent) , Shaoguang Huang (UGent) , Bart Devolder, Hélène Dubois (UGent) and Aleksandra Pizurica (UGent)

(2019) Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis (ISPA 2019). p.158-162

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A deep learning approach to crack detection in panel paintings

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

(2018) Image Processing for Art Investigation (IP4AI). p.40-42

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Conference Paper
C3
open access

Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece

Laurens Meeus, Shaoguang Huang (UGent) , Bart Devolder, Maximiliaan Martens (UGent) and Aleksandra Pizurica (UGent)

(2018) Image Processing for Art Investigation (IP4AI). p.30-32

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Conference Paper
C1
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Paint loss detection via kernel sparse representation

Shaoguang Huang (UGent) , Laurens Meeus, Bruno Cornelis, Bart Devolder, Maximiliaan Martens (UGent) and Aleksandra Pizurica (UGent)

(2018) Image Processing for Art Investigation (IP4AI) : proceedings. p.24-26

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Exploiting reflectional and rotational invariance in single image superresolution

Simon Donné (UGent) , Laurens Meeus (UGent) , Hiep Luong (UGent) , Bart Goossens (UGent) and Wilfried Philips (UGent)

(2017) 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW). In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops p.1043-1049

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Journal Article
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Fast switching cholesteric liquid crystal optical beam deflector with polarization independence

Xiaobing Shang (UGent) , Laurens Meeus (UGent) , Dieter Cuypers (UGent) and Herbert De Smet (UGent)

(2017) SCIENTIFIC REPORTS. 7.

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

Partial convolution based multimodal autoencoder for art investigation

Deep learning for paint loss detection with a multiscale, translation invariant network

A deep learning approach to crack detection in panel paintings

Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece

Paint loss detection via kernel sparse representation

Exploiting reflectional and rotational invariance in single image superresolution

Fast switching cholesteric liquid crystal optical beam deflector with polarization independence

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