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M. Wijntjes

4 papers here

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

author position
  • sole author1
  • first author1
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.HC2

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.HC2020

Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision

Mitchell J. P. van Zuijlen, Hubert Lin, Kavita Bala +2

A painter is free to modify how components of a natural scene are depicted, which can lead to a perceptually convincing image of the distal world. This signals a major difference b…

cs.CV2020

Insights From A Large-Scale Database of Material Depictions In Paintings

Hubert Lin, Mitchell Van Zuijlen, Maarten W. A. Wijntjes +2

Deep learning has paved the way for strong recognition systems which are often both trained on and applied to natural images. In this paper, we examine the give-and-take relationsh…

cs.HC2020

Sketch-and-test: picture-centered research with p5.js assisted crowdsourcing

Maarten W. A. Wijntjes, Mitchell van Zuijlen

Relating human judgements to pictures is central to a wide variety of scientific disciplines. Pictures are used to evoke and study faculties of the human mind, while human input is…

cs.CV2018

Annotating shadows, highlights and faces: the contribution of a 'human in the loop' for digital art history

Maarten W. A. Wijntjes

While automatic computational techniques appear to reveal novel insights in digital art history, a complementary approach seems to get less attention: that of human annotation. We…

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