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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9,691 to 9,700 of 9,987 Results
urlify.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 7.7 KB - MD5: 25cc3eac81231f16ed6ee3f20043cad1
urls.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 1.3 KB - MD5: 837f1063bb25e9d624df4c6654dff78c
urls.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 112 B - MD5: 4ece591269c0741593804395c0e0627c
urls.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 118 B - MD5: 46b4d80fc7e2521ff7a8f54cd1ce52ca
util.py
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Python Source Code - 2.4 KB - MD5: 118efa44122dc0e38af43174db11d0c9
uwsgi.ini.default
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Unknown - 658 B - MD5: 8ddd1b19a25e78d855c6c48bb932776d
uwsgi.log
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Plain Text - 232.9 KB - MD5: fc8321a987596437696f597c15ff6f6f
uwsgi.pid
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Unknown - 6 B - MD5: 346152fc6f926ccb92c4484aee79e666
.versions
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Unknown - 72 B - MD5: 941d73c2f066e98ea798a60d689b83f9
video.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 2.3 KB - MD5: f1b2e6428f69192aeacce2d6deb09000
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