Researcher
Laurens Meeus
- Disciplines:Communications technology, Communications
Affiliations
- Department of Telecommunications and information processing (Department)
Member
From10 Oct 2016 → 25 Sep 2022
Publications
1 - 10 of 12
- Translations and Open Science : exploring how translation technologies can support multilingualism in scholarly communication(2023)
Authors: Susanna Fiorini, Arda Tezcan, Tom Vanallemeersch, Sara Szoc, Kristin Migdisi, Laurens Meeus, Lieve Macken, Constantin Orasan, Ruslan Mitkov, Gloria Corpas Pastor, et al.
Pages: 41 - 51 - Assisting classical paintings restoration : efficient paint loss detection and descriptor-based inpainting using shared pretraining(2021)Volume: 11353
Authors: Laurens Meeus, Shaoguang Huang, Nina Žižakić, Xianghui Xie, Bart Devolder, Hélène Dubois, Maximiliaan Martens, Aleksandra Pizurica, Peter Schelkens, Tomasz Kozacki
Number of pages: 1 - A two-stream neural network architecture for the detection and analysis of cracks in panel paintings(2021)Volume: 11353
Authors: Roman Sizyakin, Bruno Cornelis, Laurens Meeus, Viacheslav Voronin, Aleksandra Pizurica, Peter Schelkens, Tomasz Kozacki
Number of pages: 1 - Crack detection in paintings using convolutional neural networks(2020)
Authors: Roman Sizyakin, Bruno Cornelis, Laurens Meeus, Hélène Dubois, Maximiliaan Martens, Viacheslav Voronin, Aleksandra Pizurica
Pages: 74535 - 74552 - Partial convolution based multimodal autoencoder for art investigation(2019)Volume: 2491
Authors: Xianghui Xie, Laurens Meeus, Aleksandra Pizurica, Katrien Beuls, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, Tom Lenaerts, et al.
Number of pages: 1 - Deep learning for paint loss detection with a multiscale, translation invariant network(2019)
Authors: Laurens Meeus, Shaoguang Huang, Bart Devolder, Hélène Dubois, Aleksandra Pizurica
Pages: 158 - 162 - Autoencoder-learned local image descriptor for image inpainting(2019)Volume: 2491
Authors: Nina Žižakić, Izumi Ito, Laurens Meeus, Aleksandra Pizurica, Katrien Beuls, Bart Bogaerts, Gianluca Bontempi, Pierre Geurts, Nick Harley, Bertrand Lebichot, et al.
Number of pages: 1 - Deep Learning for Paint Loss Detection: A Case Study on the Ghent Altarpiece(2018)
Authors: Laurens Meeus, Shaoguang Huang, Bart Devolder, Maximiliaan Martens, Aleksandra Pizurica
Pages: 30 - 32 - A deep learning approach to crack detection in panel paintings(2018)
Authors: Roman Sizyakin, Bruno Cornelis, Laurens Meeus, Maximiliaan Martens, Viacheslav Voronin, Aleksandra Pizurica
Pages: 40 - 42 - Paint loss detection via kernel sparse representation(2018)
Authors: Shaoguang Huang, Laurens Meeus, Bruno Cornelis, Bart Devolder, Maximiliaan Martens, Aleksandra Pizurica
Pages: 24 - 26