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2020 – today
- 2024
[c6]Tom Vanallemeersch, Sara Szoc, Laurens Meeus:
AI4Culture: Towards Multilingual Access for Cultural Heritage Data. EAMT (2) 2024: 59-60- 2022
- [c5]Joachim Van den Bogaert, Laurens Meeus, Alina Kramchaninova, Arne Defauw, Sara Szoc, Frederic Everaert, Koen Van Winckel, Anna Bardadym, Tom Vanallemeersch:
Automatically extracting the semantic network out of public services to support cities becoming Smart Cities. EAMT 2022: 341-342 - 2020
- [j1]Roman A. Sizyakin
, Bruno Cornelis, Laurens Meeus, Hélène Dubois, Maximiliaan Martens, Viacheslav V. Voronin, Aleksandra Pizurica:
Crack Detection in Paintings Using Convolutional Neural Networks. IEEE Access 8: 74535-74552 (2020)
2010 – 2019
- 2019
- [c4]Xianghui Xie, Laurens Meeus, Aleksandra Pizurica:
Partial Convolution Based Multimodal Autoencoder for Art Investigation. BNAIC/BENELEARN 2019 - [c3]Nina Zizakic, Izumi Ito, Laurens Meeus, Aleksandra Pizurica:
Autoencoder-Learned Local Image Descriptor for Image Inpainting. BNAIC/BENELEARN 2019 - [c2]Laurens Meeus, Shaoguang Huang, Bart Devolder, Hélène Dubois, Maximiliaan Martens, Aleksandra Pizurica:
Deep Learning for Paint Loss Detection with a multiscale, translation invariant network. ISPA 2019: 158-162 - 2017
- [c1]Simon Donné, Laurens Meeus, Hiêp Quang Luong, Bart Goossens, Wilfried Philips:
Exploiting Reflectional and Rotational Invariance in Single Image Superresolution. CVPR Workshops 2017: 1043-1049
Coauthor Index
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