The Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart is an institute of the department of computer science in the faculty of computer science, electrical engineering and information technology. Around 70 people are conducting research and teaching in the areas of visualisation and computer graphics, human-computer interaction and cognitive systems, computer vision and pattern recognition as well as augmented and virtual reality. This DataVerse contains the research data produced by the institute in these fields. Large-scale projects – like collaborative research centres – the institute is participating in might have additional DataVerses containing data produced at VIS. Furthermore, we recommend also visiting the DataVerse of VISUS, our closely related central research institute for the area of visualisation.
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9,681 to 9,690 of 10,013 Results
tk.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 771 B - MD5: 7c572a68c78fb798f11f7d8c78ebb9d6
tooltag-add.svg
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
SVG Image - 331 B - MD5: e59d620a97425b0b1d5c01e0e1711295
tooltag-arrowright.svg
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
SVG Image - 280 B - MD5: bbfb788a849ee115c109b1224a67832b
train_RecallNet.ipynb
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Jupyter Notebook - 112.9 KB - MD5: 6651f97c9a7a75ed27a0a33f7932747f
transition.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 46.2 KB - MD5: ced52703f140c298c600249cebc86be3
transition.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 35.2 KB - MD5: 8a994150f9961663d2fe2411565748f2
transition.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 31.6 KB - MD5: 650505c3f0ea0c6e056ff29efb5256a3
transition.min.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 12.9 KB - MD5: 044ed25ee587cddb092a3f0ac21fc4c4
treasuryB02.png
treasuryB02.png
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
PNG Image - 547.0 KB - MD5: d8203689e6003c5794847f316b318303
treasuryB02.png
treasuryB02.png
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
PNG Image - 368.3 KB - MD5: 995100405b726f4b96f1b82588a5b426
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