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Faculty of Arts and Philosophy - Research Portal
Department of Art, Music and Theatre Sciences
GICAS - Ghent Interdisciplinary Centre for Art and Science
HPIMS - Henri Pirenne Institute for Medieval Studies
SARTON - Sarton Centre for History of Science
Projects as supervisor
Jan Van Eyck. Kennisprofiel, artistieke praktijk en receptie
Altered in style. A socio-cultural study of the 1550 repaint campaign of the Ghent Altarpiece
Copying the master or mastering the copy? Reconsidering copying practices as a pictorial strategy for artistic renewal and art theory in the Low Countries (c. 1500- c. 1566)
Images and indulgences in the context of the Flemish Primitives
Pirenne consortium for medieval studies
Projects as co-supervisor
The social life of early Netherlandish painting
Food and the concept of truth. The rhetoric of food representations in the early modern Low Countries
Most recent publications
Harth, Astrid, and Maximiliaan Martens. “Albrecht Dürer’s Iconic Image of Saint Jerome : Making, Meaning and Reception.”
Dürer’s Journey’s : Travels of a Renaissance Artist
, edited by Susan Foister and Peter van den Brink, National Gallery Company/ Yale University Press, 2021, pp. 252–65.
Meeus, Laurens, et al. “Assisting Classical Paintings Restoration : Efﬁcient Paint Loss Detection and Descriptor-Based Inpainting Using Shared Pretraining.”
Optics, Photonics and Digital Technologies for Imaging Applications VI
, edited by Peter Schelkens and Tomasz Kozacki, vol. 11353, SPIE, 2021, doi:10.1117/12.2556000.
Martens, Maximiliaan. “Democritus : The Laughing Philosopher.”
Imaging Utopia : New Perspectives on Northern Renaissance Art : Papers Presented at the Twentieth Symposium for the Study of Underdrawing and Technology in Painting Held in Mechelen and Leuven, 11-13 January 2017
, edited by Julie Beckers et al., Peeters, 2021, pp. 56–61.
Huang, Shaoguang, et al. “Multimodal Target Detection by Sparse Coding : Application to Paint Loss Detection in Paintings.”
IEEE TRANSACTIONS ON IMAGE PROCESSING
, vol. 29, IEEE, 2020, pp. 7681–96, doi:10.1109/TIP.2020.3005520.
Sizyakin, Roman, et al. “Crack Detection in Paintings Using Convolutional Neural Networks.”
, vol. 8, no. 1, 2020, pp. 74535–52, doi:10.1109/ACCESS.2020.2988856.
History of Visual Arts in the Low Countries I
Survey of the Visual Arts: 1300-1789