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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9,701 to 9,710 of 9,987 Results
video.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 15.9 KB - MD5: e9118bb8a3c8e20d671337944cc0c546
video.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 1.3 KB - MD5: e3ee25feab24d403160cab665272a675
video.min.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 5.9 KB - MD5: 5e69610546c7002be3bc210470c16e6f
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 6907f9aa711b24bf4d5e207449b05162
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 08172f046de48ea7e7938c753bf8a7f2
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 18ca93aae4484b5bfc077da430129fe9
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 453631875f879363f6fb0f29dcb55095
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 9cd7bbe39533b969dc486cc7506bd7a9
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: cd7cccd14cb7abd916ce28252ee96772
views.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.0 KB - MD5: 703064343c61e57cdab658296dafde67
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