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Grateful to the University of Amsterdam’s Informatics Institute for confirming my promotion to Associate Professor, looking forward to developing my research focus on Culturally Adaptive Representation Learning and growing my lab!

Very proud that tomorrow Tim Alpherts will be defending his PhD thesis on Explainable Computer Vision for Cities!

This year we are organising VISART VIII at ECCV 2026 again - consider joining us in Malmö, Sweden if you’re interested in Computer Vision for Art!

HERAtlas–named after the ancient goddess guardian of women–seeks to safeguard and illuminate women’s artistic contributions. The goal of the project is to address the gender inequality in the visual arts, through an intervention in the form of an interactive atlas that visualises both the presence and the absence of art created by women.

Very excited that the University of Amsterdam has decided to fund our project Visual Imaginaries of Gender: The potentials and limitations of GenAI! We will be hiring a postdoc for this project in 2025!

In the coming two years I will be working with Christian Olesen and the EYE museum on a project on AI, Sustainability, and Film Archives funded by NWO under the NWA art route.

Our paper, together with Sam Titarsolej (MSc AI student!) and Neil Cohn, on learning representations of comic panels “Drawing Insights: Sequential Representation Learning in Comics” was presented at BMVC 2024!

I’m co-organising VISART VII at ECCV 2024 - consider joining us in Milan if you’re interested in Computer Vision for Art!

Tim Alphert presented our paper “Perceptive Visual Urban Analytics is Not (Yet) Suitable for Municipalities” at FAccT 2024!

My paper Prototype-based Dataset Comparison was accepted at ICCV 2023, read more about it on the project page: https://nanne.github.io/ProtoSim/

I was interviewed by Folia on Generative AI for Art, read the (Dutch) article here: https://www.folia.nl/wetenschap/153725/kunstmatige-intelligentie-als-de-kunstenaar-van-morgen

We’ve started a new lab at the UvA that brings together AI and Culture, keep an eye on canal-lab.uva.nl for updates and news!

For the AI4FILM project we’re looking to hire a PhD student interested in doing cutting-edge artificial intelligence research for applications to culture and films. The closing date for this vacancy is June 7th 2022.

Our paper on hyperbolic image segmentation has been accepted at CVPR 2022!

My article that surveys the landscape of computational methods for iconic image analysis has recently been published in Digital Scholarship in the Humanities. In this twitter thread I give a summary of the article.

I’m looking for a PhD student and two Postdocs, if you’re interested in Computer Vision, Multimedia, and AI, or the role that these play in the analysis of culture and media in general please take a look and see if they’re a good fit for you!

I’m happy to announce that today is my first day as Assistant Professor in the Multimedia Analytics lab of the University of Amsterdam!

My research is in the area of Cultural Multimedia Analysis (CMA), which brings together ideas from Multimedia Analytics and Cultural Analytics. The figure below shows how these two fields have shared characteristics (enclosed by both rectangles) and characteristics which are unique to either field. By combining the cultural focus and incorporation of Media Theory from Cultural Analytics, and the emphasis on developing new methods of Multimedia, I believe it is possible to develop methods for analysing (Visual) Culture that do justice to the richness and complexity of the material.

CMA aims to acknowledge culture not only as a source of data and theory, but also for the diversity of perspectives that persons might have and the differences in meaning this can result in. However, instead of focusing on performing cultural analysis itself, the aim of CMA is to develop new methods that make it possible to perform cultural analysis at scale.