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Johan Wagemans

12 papers hereh-index 10567 citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author10

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedUnveiling The Factors of Aesthetic Preferences with Explainable AI

12 citations · 13 across the 12 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

Learning visual representations for compositional analysis of artworks and photographs

Fatemeh Behrad, Tinne Tuytelaars, Johan Wagemans

Composition, the deliberate arrangement of visual elements, is central to how meaning, emotion, and aesthetic quality are conveyed in artwork, yet it remains among the least formal…

cs.CV2026

DODA: A Database of Datasets for Aesthetics Research

Lisa Koßmann, Ralf Bartho, Christoph Redies +1

With rapid growth in the fields of empirical and computational aesthetics we have seen a vast increase in large image datasets annotated for aesthetics. As the image databases diff…

cs.CV2026

Personalizing Text-to-Image Generation to Individual Taste

Anne-Sofie Maerten, Juliane Verwiebe, Shyamgopal Karthik +3

Modern text-to-image (T2I) models generate high-fidelity visuals but remain indifferent to individual user preferences. While existing reward models optimize for "average" human ap…

cs.CV2026

From Concepts to Judgments: Interpretable Image Aesthetic Assessment

Xiao-Chang Liu, Johan Wagemans

Image aesthetic assessment (IAA) aims to predict the aesthetic quality of images as perceived by humans. While recent IAA models achieve strong predictive performance, they offer l…

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