SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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31 to 40 of 818 Results

koh.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 44.1 KB - 3 Variables, 1077 Observations - UNF:6:jm91tihAXgNNRcyGYtStlA== A categorical dataset reconstructed from Koh et al. [YKII15] describing software dependencies. It is manually reconstructed from the Parallel Sets visualization in Figure 4 of the publication by Yano et al. The reconstruction method is described in the Process Metadata. The publi...
lincoff.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 1.5 MB - 23 Variables, 8124 Observations - UNF:6:rClruQR9kTSyr0NbJisRNA== A mushroom dataset with 23 attributes and 8124 category combinations by G. Lincoff and N. A. Society. (1981). National Audubon Society field guide to North American mushrooms, ser. Audubon Society field guide series. Knopf: Distributed by Random House, New York.
rogers-1.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 23.8 KB - 3 Variables, 1013 Observations - UNF:6:feip2wKBPgQTWR5JZ3oK8g== The first categorical dataset reconstructed from Rogers et al. describing the results of a HCI study. It is manually reconstructed from the Parallel Sets visualization in Figure 1 (a) of the publication by Rogers et al. [RWH*16] The reconstruction method is described in the Proce...
rogers-2.tab Jan 26, 2024 - The Categorical Data Map - Replication Data Tabular Data - 23.1 KB - 3 Variables, 1012 Observations - UNF:6:UPfzwP4EP7X8E9Uk4KxFbQ== The second categorical dataset reconstructed from Rogers et al. describing the results of a HCI study. It is manually reconstructed from the Parallel Sets visualization in Figure 1 (b) of the publication by Rogers et al. [RWH*16] The reconstruction method is described in the Proc...
yano.csv Jan 26, 2024 - The Categorical Data Map - Replication Data Comma Separated Values - 20.3 KB - MD5: 869903971110c7c0c8db27d94199a943 A categorical dataset reconstructed from Yano et al. [KSDK11] describing property sales information from Singapor. It is manually reconstructed from the Parallel Sets visualization in Figure X of the publication by Yano et al. The reconstruction method is described in the Process...
SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Jan 26, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations" Wang, Yao, 2024, "SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)", https://doi.org/10.18419/darus-3884, DaRUS, V1 Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap, we introduce SalChartQA - a novel crowd-sourced datase...
dataset_new.py Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Python Source Code - 519 B - MD5: 52d002345282b7ccec556fd12877bfb8 dataloader for SalChartQA
env.py Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Python Source Code - 170 B - MD5: 6fcef81e6722e6dec003ea1a6152d008 python envorinment $TORCH_HOME and $TRANSFORMERS_CACHE
evaluation.py Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Python Source Code - 4.1 KB - MD5: 57190d4825e65b73b0a8255e242caa20 evaluation script to load VisSalFormer weights and make predictions
evaluation.sh Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Shell Script - 87 B - MD5: 0e9c6b5e196912cee38ae0adc5d4f3eb bash script to run evaluation.py

koh.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 44.1 KB - 3 Variables, 1077 Observations -

A categorical dataset reconstructed from Koh et al. [YKII15] describing software dependencies. It is manually reconstructed from the Parallel Sets visualization in Figure 4 of the publication by Yano et al. The reconstruction method is described in the Process Metadata. The publi...

lincoff.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 1.5 MB - 23 Variables, 8124 Observations -

A mushroom dataset with 23 attributes and 8124 category combinations by G. Lincoff and N. A. Society. (1981). National Audubon Society field guide to North American mushrooms, ser. Audubon Society field guide series. Knopf: Distributed by Random House, New York.

rogers-1.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 23.8 KB - 3 Variables, 1013 Observations -

The first categorical dataset reconstructed from Rogers et al. describing the results of a HCI study. It is manually reconstructed from the Parallel Sets visualization in Figure 1 (a) of the publication by Rogers et al. [RWH*16] The reconstruction method is described in the Proce...

rogers-2.tab

Jan 26, 2024 - The Categorical Data Map - Replication Data

Tabular Data - 23.1 KB - 3 Variables, 1012 Observations -

The second categorical dataset reconstructed from Rogers et al. describing the results of a HCI study. It is manually reconstructed from the Parallel Sets visualization in Figure 1 (b) of the publication by Rogers et al. [RWH*16] The reconstruction method is described in the Proc...

yano.csv

Jan 26, 2024 - The Categorical Data Map - Replication Data

Comma Separated Values - 20.3 KB -

A categorical dataset reconstructed from Yano et al. [KSDK11] describing property sales information from Singapor. It is manually reconstructed from the Parallel Sets visualization in Figure X of the publication by Yano et al. The reconstruction method is described in the Process...

SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Jan 26, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"

Wang, Yao, 2024, "SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)", https://doi.org/10.18419/darus-3884, DaRUS, V1

Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap, we introduce SalChartQA - a novel crowd-sourced datase...

dataset_new.py

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Python Source Code - 519 B -

dataloader for SalChartQA

env.py

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Python Source Code - 170 B -

python envorinment $TORCH_HOME and $TRANSFORMERS_CACHE

evaluation.py

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Python Source Code - 4.1 KB -

evaluation script to load VisSalFormer weights and make predictions

evaluation.sh

Jan 26, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Shell Script - 87 B -

bash script to run evaluation.py

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