activity
20152022
most citedThe Met Dataset: Instance-level Recognition for Artworks

15 citations · 23 across the 6 of their papers we have counts for

collaborators

10 papers

cs.CY20222 cited

An Analytics of Culture: Modeling Subjectivity, Scalability, Contextuality, and Temporality

Nanne van Noord, Melvin Wevers, Tobias Blanke +2

There is a bidirectional relationship between culture and AI; AI models are increasingly used to analyse culture, thereby shaping our understanding of culture. On the other hand, t…

cs.CV2022

Hyperbolic Image Segmentation

Mina GhadimiAtigh, Julian Schoep, Erman Acar +2

For image segmentation, the current standard is to perform pixel-level optimization and inference in Euclidean output embedding spaces through linear hyperplanes. In this work, we…

cs.CV202215 cited

The Met Dataset: Instance-level Recognition for Artworks

Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han +3

This work introduces a dataset for large-scale instance-level recognition in the domain of artworks. The proposed benchmark exhibits a number of different challenges such as large…

cs.IR20221 cited

Extending CLIP for Category-to-image Retrieval in E-commerce

Mariya Hendriksen, Maurits Bleeker, Svitlana Vakulenko +3

E-commerce provides rich multimodal data that is barely leveraged in practice. One aspect of this data is a category tree that is being used in search and recommendation. However,…

cs.CV2019

Translating Visual Art into Music

Maximilian Müller-Eberstein, Nanne van Noord

The Synesthetic Variational Autoencoder (SynVAE) introduced in this research is able to learn a consistent mapping between visual and auditive sensory modalities in the absence of…

cs.CV2019

I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation

Laurens Samson, Nanne van Noord, Olaf Booij +3

Adversarial training has been recently employed for realizing structured semantic segmentation, in which the aim is to preserve higher-level scene structural consistencies in dense…