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Project Name: SFB/Transregio 161 Funding Information Identifier: 251654672 Publication Year: 2024 Author Name: Weiskopf, Daniel

1 to 8 of 8 Results

Supplementary Material for Uncertainty-aware Spectral Visualization Sep 16, 2024 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing" Evers, Marina; Weiskopf, Daniel, 2024, "Supplementary Material for Uncertainty-aware Spectral Visualization", https://doi.org/10.18419/darus-4447, DaRUS, V1 In this supplemental material, we provide supplemental information (PDF document with derivations of the results presented in the paper and two additional use cases) and the supplementary video for uncertainty-aware spectral analysis. We model an uncertain time series as a multiv...
Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Sep 2, 2024 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing" Reichmann, Luca; Hägele, David; Weiskopf, Daniel, 2024, "Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions", https://doi.org/10.18419/darus-4441, DaRUS, V1, UNF:6:WoQ4MNffz92VcvZ/qCGL5w== [fileUNF] This dataset contains the supplemental material for "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions". The contents and usage of this dataset are described in the README.md files.
Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes" Jul 30, 2024 - Visualisierungsinstitut der Universität Stuttgart Gralka, Patrick; Müller, Christoph; Heinemann, Moritz; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes"", https://doi.org/10.18419/darus-4256, DaRUS, V1, UNF:6:+e/WFL9E6WB+2FvGNOvcGA== [fileUNF] Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes". Contains the aggregated energy consumption data from the experiments in the paper. The application under test was MegaMol with two OpenGL-based sphere rasterization rendering methods (data static on G...
Dataset for NMF-based Analysis of Mobile Eye-Tracking Data May 29, 2024 - Visualisierungsinstitut der Universität Stuttgart Koch, Maurice; Kurzhals, Kuno; Ngo, Quynh Quang; Weiskopf, Daniel, 2024, "Dataset for NMF-based Analysis of Mobile Eye-Tracking Data", https://doi.org/10.18419/darus-4023, DaRUS, V1, UNF:6:Ejbvxe7W2i/4uT/GMXGVbQ== [fileUNF] This mobile eye-tracking dataset consists of 27 recordings of three participants (all authors) walking through a small art gallery. Participants were instructed to attend individual paintings in specific orders, resulting in five distinct scanpath patterns. The recordings' durati...
Dataset for "How Deep Is Your Gaze? Leveraging Distance in Image-Based Gaze Analysis" May 16, 2024 - Visualisierungsinstitut der Universität Stuttgart Koch, Maurice; Pathmanathan, Nelusa; Weiskopf, Daniel; Kurzhals, Kuno, 2024, "Dataset for "How Deep Is Your Gaze? Leveraging Distance in Image-Based Gaze Analysis"", https://doi.org/10.18419/darus-4141, DaRUS, V1, UNF:6:sGarZdQENrgDcSTnOSbSeA== [fileUNF] This dataset was recorded in an AR environment comprised of three physical and three virtual scene objects. Four participants were instructed to gaze at the six objects from different depth levels (50cm, 150cm, 300cm) in two orders (left-to-right, right-to-left). There are seven...
Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material Mar 13, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization" Krake, Tim; Klötzl, Daniel; Hägele, David; Weiskopf, Daniel, 2024, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material", https://doi.org/10.18419/darus-3845, DaRUS, V1 In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware S...
Your visualisations are going places: Performance data for scientific visualisation on gaming consoles Mar 1, 2024 - SFB-TRR 161 INF "Collaboration Infrastructure" Becher, Michael; Müller, Christoph; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Your visualisations are going places: Performance data for scientific visualisation on gaming consoles", https://doi.org/10.18419/darus-4003, DaRUS, V1 The data set contains performance data (mainly frame times) for rendering spherical glyphs and scalar fields on Xbox Series consoles, mobile game consoles and a reference PC with different GPUs.
Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material Feb 6, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization" Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel; Weiskopf, Daniel, 2024, "Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material", https://doi.org/10.18419/darus-3451, DaRUS, V1 We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material. Contents: Tables that did not fit into the original paper, due to page limits...

Supplementary Material for Uncertainty-aware Spectral Visualization

Sep 16, 2024 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"

Evers, Marina; Weiskopf, Daniel, 2024, "Supplementary Material for Uncertainty-aware Spectral Visualization", https://doi.org/10.18419/darus-4447, DaRUS, V1

In this supplemental material, we provide supplemental information (PDF document with derivations of the results presented in the paper and two additional use cases) and the supplementary video for uncertainty-aware spectral analysis. We model an uncertain time series as a multiv...

Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions

Sep 2, 2024 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"

Reichmann, Luca; Hägele, David; Weiskopf, Daniel, 2024, "Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions", https://doi.org/10.18419/darus-4441, DaRUS, V1, UNF:6:WoQ4MNffz92VcvZ/qCGL5w== [fileUNF]

This dataset contains the supplemental material for "Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions". The contents and usage of this dataset are described in the README.md files.

Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes"

Jul 30, 2024 - Visualisierungsinstitut der Universität Stuttgart

Gralka, Patrick; Müller, Christoph; Heinemann, Moritz; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes"", https://doi.org/10.18419/darus-4256, DaRUS, V1, UNF:6:+e/WFL9E6WB+2FvGNOvcGA== [fileUNF]

Supplemental Material for "Power Overwhelming: The One With the Oscilloscopes". Contains the aggregated energy consumption data from the experiments in the paper. The application under test was MegaMol with two OpenGL-based sphere rasterization rendering methods (data static on G...

Dataset for NMF-based Analysis of Mobile Eye-Tracking Data

May 29, 2024 - Visualisierungsinstitut der Universität Stuttgart

Koch, Maurice; Kurzhals, Kuno; Ngo, Quynh Quang; Weiskopf, Daniel, 2024, "Dataset for NMF-based Analysis of Mobile Eye-Tracking Data", https://doi.org/10.18419/darus-4023, DaRUS, V1, UNF:6:Ejbvxe7W2i/4uT/GMXGVbQ== [fileUNF]

This mobile eye-tracking dataset consists of 27 recordings of three participants (all authors) walking through a small art gallery. Participants were instructed to attend individual paintings in specific orders, resulting in five distinct scanpath patterns. The recordings' durati...

Dataset for "How Deep Is Your Gaze? Leveraging Distance in Image-Based Gaze Analysis"

May 16, 2024 - Visualisierungsinstitut der Universität Stuttgart

Koch, Maurice; Pathmanathan, Nelusa; Weiskopf, Daniel; Kurzhals, Kuno, 2024, "Dataset for "How Deep Is Your Gaze? Leveraging Distance in Image-Based Gaze Analysis"", https://doi.org/10.18419/darus-4141, DaRUS, V1, UNF:6:sGarZdQENrgDcSTnOSbSeA== [fileUNF]

This dataset was recorded in an AR environment comprised of three physical and three virtual scene objects. Four participants were instructed to gaze at the six objects from different depth levels (50cm, 150cm, 300cm) in two orders (left-to-right, right-to-left). There are seven...

Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material

Mar 13, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"

Krake, Tim; Klötzl, Daniel; Hägele, David; Weiskopf, Daniel, 2024, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material", https://doi.org/10.18419/darus-3845, DaRUS, V1

In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware S...

Your visualisations are going places: Performance data for scientific visualisation on gaming consoles

Mar 1, 2024 - SFB-TRR 161 INF "Collaboration Infrastructure"

Becher, Michael; Müller, Christoph; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Your visualisations are going places: Performance data for scientific visualisation on gaming consoles", https://doi.org/10.18419/darus-4003, DaRUS, V1

The data set contains performance data (mainly frame times) for rendering spherical glyphs and scalar fields on Xbox Series consoles, mobile game consoles and a reference PC with different GPUs.

Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material

Feb 6, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"

Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel; Weiskopf, Daniel, 2024, "Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material", https://doi.org/10.18419/darus-3451, DaRUS, V1

We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material. Contents: Tables that did not fit into the original paper, due to page limits...

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