Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 1,097 Results
Mar 3, 2025 - VQA-MHUG
Markdown Text - 4.2 KB - MD5: b8367a799da2dbfbb26a6ec4ebc67a5b
Dataset information and usage description
ZIP Archive - 730.9 MB - MD5: aecb5a6a4029bcadb4fe1b0ff78a6345
npy files for dataloader
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
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
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
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
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
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
Oct 28, 2024 - VQA-MHUG
Unknown - 78.0 KB - MD5: d24af997f7d7583dfe36b5ecc3ba5d96
[pickled pandas dataframe] difficulty scores calculated for all question-image pairs
Oct 28, 2024 - VQA-MHUG
Python Source Code - 7.8 KB - MD5: 3b05d7b4d9d4baa17b84ad27ccef146c
script to generate fixation maps and scanpaths from fixation data
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.