At the University of Stuttgart's visualisation research centre, about 30 scientists work in different areas of scientific visualisation, visual analytics, visual computing and computer graphics, as well as in interdisciplinary, applied research. The latter results in close co-operation with non-visualisation disciplines at the University of Stuttgart. This DataVerse contains research data produced by the institute in the aforementioned research areas. For additional data, we recommend also visiting the DataVerse of VIS, which is the visualisation institute of the faculty of computer science, electrical engineering and information technology.
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1 to 10 of 176 Results
Supplemental Material for "Efficient Sphere Rendering Revisited"
Jun 30, 2023
Gralka, Patrick; Reina, Guido; Ertl, Thomas, 2023, "Supplemental Material for "Efficient Sphere Rendering Revisited"", https://doi.org/10.18419/darus-3458, DaRUS, V1, UNF:6:VW7v4J+gjbFfXZ4iHlkqaw== [fileUNF]
This dataset contains the measured rendering times (in milliseconds) for all tested GPUs in the paper "Efficient Sphere Rendering Revisited". The timings have been measured in the visualization software MegaMol on the following hardware: AMD Ryzen 9 5900X (12c @ 4.7GHz); 64GB DDR...
amd_rx6900xt.tab
Jun 30, 2023 - Supplemental Material for "Efficient Sphere Rendering Revisited"
Tabular Data - 2.6 KB - 8 Variables, 40 Observations - UNF:6:Gyd2+hfikqjDrtF9l1chAQ==
amd_w6800.tab
Jun 30, 2023 - Supplemental Material for "Efficient Sphere Rendering Revisited"
Tabular Data - 2.7 KB - 8 Variables, 40 Observations - UNF:6:TXxJmzgVjyazLFvtcnSTYg==
intel_a770.tab
Jun 30, 2023 - Supplemental Material for "Efficient Sphere Rendering Revisited"
Tabular Data - 2.8 KB - 8 Variables, 40 Observations - UNF:6:8hdfrXrMaWcNyXtIGFJLvw==
nvidia_3090ti.tab
Jun 30, 2023 - Supplemental Material for "Efficient Sphere Rendering Revisited"
Tabular Data - 7.8 KB - 8 Variables, 112 Observations - UNF:6:AMlwKgpBjhYNLGclBdwOCA==
nvidia_4090.tab
Jun 30, 2023 - Supplemental Material for "Efficient Sphere Rendering Revisited"
Tabular Data - 7.7 KB - 8 Variables, 112 Observations - UNF:6:1ioGVOXEYxwTn5VbGcJH/g==
Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol
Jun 6, 2023
Braun, Matthias; Reina, Guido; Ertl, Thomas, 2023, "Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol", https://doi.org/10.18419/darus-3542, DaRUS, V1
MegaMol is an open-source prototyping framework for the interactive visualization of large particle-based data. Its flexible, modular architecture allows it also to serve as development platform for general visualization research. As outlined in the proposal, we planned to improv...
deRSE19-Poster.pdf
Jun 6, 2023 - Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol
Adobe PDF - 3.2 MB - MD5: 99a4ae7dd71ba7273c096e4127be275c
Final Exported Version
deRSE19-Poster.pptx
Jun 6, 2023 - Poster for deRSE19 Conference: Software Sustainability for the Open-Source Particle Visualization Framework MegaMol
MS Powerpoint - 16.2 MB - MD5: e3390cb22a5803def68b444aa2a4dcf2
Original Source
Supplemental Material for "Which Experimental Design is Better Suited for VQA Tasks? - Eye Tracking Study on Cognitive Load, Performance, and Gaze Allocations"
Supplemental Material for "Which Experimental Design is Better Suited for VQA Tasks? - Eye Tracking Study on Cognitive Load, Performance, and Gaze Allocations"
Apr 3, 2023
Vriend, Sita; Vidyapu, Sandeep; Rama, Amer; Chen, Kun-Ting; Weiskopf, Daniel, 2023, "Supplemental Material for "Which Experimental Design is Better Suited for VQA Tasks? - Eye Tracking Study on Cognitive Load, Performance, and Gaze Allocations"", https://doi.org/10.18419/darus-3380, DaRUS, V1, UNF:6:mnjCJZLU4zgl+uXCgQV5fA== [fileUNF]
We investigated the effect of stimulus-question ordering and modality in which the question is presented of a user study with visual question answering (VQA) tasks. In an eye-tracking user study (N=13), we tested 5 conditions within-subjects. The conditions were counter-balanced...
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