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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9,661 to 9,670 of 9,987 Results
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
treasuryB06.png
treasuryB06.png
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
PNG Image - 934.4 KB - MD5: f1442d39e7663abeee12c0e72695e8a4
treasuryB06.png
treasuryB06.png
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
PNG Image - 454.8 KB - MD5: 6c93a9bcfc7a3b39372a54b72bdace2d
treasuryB13.png
treasuryB13.png
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
PNG Image - 746.0 KB - MD5: 8169d6d6b57fcb80ab3717cd0d147a45
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