Exploiting Reflectional and Rotational Invariance in Single Image Superresolution. - Simon Donné; Laurens Meeus; Hiêp Quang Luong; Bart Goossens; Wilfried Philips (CVPR Workshops, 2017)

Partial Convolution Based Multimodal Autoencoder for Art Investigation. - Xianghui Xie; Laurens Meeus; Aleksandra Pizurica (BNAIC/BENELEARN, 2019)

Autoencoder-Learned Local Image Descriptor for Image Inpainting. - Nina Zizakic; Izumi Ito; Laurens Meeus; Aleksandra Pizurica (BNAIC/BENELEARN, 2019)

Deep Learning for Paint Loss Detection with a multiscale, translation invariant network. - Laurens Meeus; Shaoguang Huang; Bart Devolder; Hélène Dubois; Maximiliaan Martens; Aleksandra Pizurica (ISPA, 2019)

Crack Detection in Paintings Using Convolutional Neural Networks. - Roman A. Sizyakin; Bruno Cornelis; Laurens Meeus; Hélène Dubois; Maximiliaan Martens; Viacheslav V. Voronin; Aleksandra Pizurica (IEEE Access, 2020)

Automatically extracting the semantic network out of public services to support cities becoming Smart Cities. - Joachim Van den Bogaert; Laurens Meeus; Alina Kramchaninova; Arne Defauw; Sara Szoc; Frederic Everaert; Koen Van Winckel; Anna Bardadym; Tom Vanallemeersch (EAMT, 2022)

AI4Culture: Towards Multilingual Access for Cultural Heritage Data. - Tom Vanallemeersch; Sara Szoc; Laurens Meeus (EAMT (2), 2024)