Understanding and creating art with AI: Review and outlook

E Cetinic, J She - ACM Transactions on Multimedia Computing …, 2022 - dl.acm.org
Technologies related to artificial intelligence (AI) have a strong impact on the changes of
research and creative practices in visual arts. The growing number of research initiatives …

Towards generating and evaluating iconographic image captions of artworks

E Cetinic - Journal of imaging, 2021 - mdpi.com
To automatically generate accurate and meaningful textual descriptions of images is an
ongoing research challenge. Recently, a lot of progress has been made by adopting …

Iconographic image captioning for artworks

E Cetinic - … ICPR International Workshops and Challenges: Virtual …, 2021 - Springer
Image captioning implies automatically generating textual descriptions of images based only
on the visual input. Although this has been an extensively addressed research topic in …

A Computational Approach to Hand Pose Recognition in Early Modern Paintings

V Bernasconi, E Cetinić, L Impett - Journal of Imaging, 2023 - mdpi.com
Hands represent an important aspect of pictorial narration but have rarely been addressed
as an object of study in art history and digital humanities. Although hand gestures play a …

Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts

N Gonthier, S Ladjal, Y Gousseau - Computer Vision and Image …, 2022 - Elsevier
Weakly supervised object detection (WSOD) using only image-level annotations has
attracted a growing attention over the past few years. Whereas such task is typically …

Critical Discursive Psychology and visual displays of gender

KM McCullough - Qualitative research in psychology, 2024 - Taylor & Francis
The growing presence of everyday visual materials, such as social media images and
videos, raises new questions around the ways in which identities are made visible in …

Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors: Towards Scene Understanding in Digital Art History

P Madhu, T Marquart, R Kosti, P Bell, A Maier… - … on Computer Vision, 2020 - Springer
Image compositions as a tool for analysis of artworks is of extreme significance for art
historians. These compositions are useful in analyzing the interactions in an image to study …

ICC++: Explainable feature learning for art history using image compositions

P Madhu, T Marquart, R Kosti, D Suckow, P Bell… - Pattern Recognition, 2023 - Elsevier
Image compositions are helpful in the study of image structures and assist in discovering the
semantics of the underlying scene portrayed across art forms and styles. With the digitization …

Enhancing human pose estimation in ancient vase paintings via perceptually-grounded style transfer learning

P Madhu, A Villar-Corrales, R Kosti… - ACM Journal on …, 2022 - dl.acm.org
Human pose estimation (HPE) is a central part of understanding the visual narration and
body movements of characters depicted in artwork collections, such as Greek vase …

Spatially-consistent feature matching and learning for heritage image analysis

X Shen, R Champenois, S Ginosar, I Pastrolin… - International Journal of …, 2022 - Springer
Progress in the digitization of cultural assets leads to online databases that become too
large for a human to analyze. Moreover, some analyses might be challenging, even for …