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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1 to 10 of 9,985 Results
README.md
Mar 3, 2025 - VQA-MHUG
Markdown Text - 4.2 KB - MD5: b8367a799da2dbfbb26a6ec4ebc67a5b
Dataset information and usage description
SalChartQA-npy.zip
Nov 22, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)
ZIP Archive - 730.9 MB - MD5: aecb5a6a4029bcadb4fe1b0ff78a6345
npy files for dataloader
air-mhug_answers.pickle
Oct 28, 2024 - VQA-MHUG
Unknown - 60.8 KB - MD5: 1cc24a7c924c3a46b44546f983ac7c79
[pickled pandas dataframe] [AiR stimuli] [sequential presentation] participant answers to VQA question after viewing both stimuli
air-mhug_bboxes.pickle
Oct 28, 2024 - VQA-MHUG
Unknown - 128.5 KB - MD5: 3a5462b2f96d6b0a4b0ad9ac0c595d5f
[pickled pandas dataframe] [AiR stimuli] [sequential presentation] bounding box coordinates of text (words) and image
air-mhug_gaze.pickle
Oct 28, 2024 - VQA-MHUG
Unknown - 4.7 MB - MD5: b72e6f16af7c4be11138db20927f5d64
[pickled pandas dataframe] [AiR stimuli] [sequential presentation] fixation data of both eyes on both stimuli
air-mhug-jr_answers.pickle
Oct 28, 2024 - VQA-MHUG
Unknown - 58.6 KB - MD5: c0d9f958466c90843b9115fff873aef6
[pickled pandas dataframe] [AiR stimuli] [joint presentation] participant answers to VQA question after viewing joint stimulus
air-mhug-jr_bboxes.pickle
Oct 28, 2024 - VQA-MHUG
Unknown - 88.8 KB - MD5: fede2879e467f90ae38975dc1dd0ea63
[pickled pandas dataframe] [AiR stimuli] [joint presentation] bounding box coordinates of text (words) and image
air-mhug-jr_gaze.pickle
Oct 28, 2024 - VQA-MHUG
Unknown - 3.1 MB - MD5: 05d93d0152c9f418e7cd8c36a868712b
[pickled pandas dataframe] [AiR stimuli] [joint presentation] fixation data of both eyes on joint stimulus
difficulty_scores.pickle
Oct 28, 2024 - VQA-MHUG
Unknown - 78.0 KB - MD5: d24af997f7d7583dfe36b5ecc3ba5d96
[pickled pandas dataframe] difficulty scores calculated for all question-image pairs
generate_deliverables.py
Oct 28, 2024 - VQA-MHUG
Python Source Code - 7.8 KB - MD5: 3b05d7b4d9d4baa17b84ad27ccef146c
script to generate fixation maps and scanpaths from fixation data
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