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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61 to 70 of 10,015 Results
May 22, 2024 - InteRead
Tabular Data - 353.0 KB - 14 Variables, 5246 Observations - UNF:6:smdNGBPew/XDNe0hjrXb+w==
May 22, 2024 - InteRead
Tabular Data - 10.8 KB - 43 Variables, 50 Observations - UNF:6:La50jIoWdeqSdCKn4bsvKQ==
May 22, 2024 - InteRead
Unknown - 5.7 MB - MD5: ffd2f8caf6f4acbd3b840852585882a5
May 22, 2024 - InteRead
Unknown - 5.3 MB - MD5: 99a6c95280e1d3e2226ef67a983aa33b
May 22, 2024 - InteRead
Unknown - 21.1 MB - MD5: f93925e4ce5301e41210d57fdbec336c
May 22, 2024 - InteRead
Markdown Text - 6.8 KB - MD5: 80f40b1e65a0ac4b8fcafd642b2885a7
May 22, 2024 - InteRead
Tabular Data - 6.4 KB - 3 Variables, 290 Observations - UNF:6:T/zbrbseb8XdYq0iwVX25g==
May 22, 2024 - InteRead
Tabular Data - 992 B - 2 Variables, 50 Observations - UNF:6:29GOPPR6H7GMLpRjjxhb7w==
May 22, 2024 - InteRead
Unknown - 6.0 KB - MD5: 6ff1ddbf629e7a5151a3a594f1dc2154
May 16, 2024 - Collaborative Artificial Intelligence
Bulling, Andreas, 2024, "InvisibleEye", https://doi.org/10.18419/DARUS-3288, DaRUS, V1
We recorded a dataset of more than 280,000 close-up eye images with ground truth annotation of the gaze location. A total of 17 participants were recorded, covering a wide range of appearances: Gender: Five (29%) female and 12 (71%) male Nationality: Seven (41%) German, seven (41%) Indian, one (6%) Bangladeshi, one (6%) Iranian, and one (6%) Greek...
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