Visual Analysis System for Scene-Graph-Based Visual Question Answering
N. Schäfer, P. Tilli, T. Munz-Körner, S. Künzel, S. Vidyapu, N. Vu, and D. Weiskopf. Software, (2023)Related to: N. Schäfer, S. Künzel, T. Munz, P. Tilli, N. T. Vu, and D. Weiskopf. Visual Analysis of Scene-Graph-Based Visual Question Answering. Proceedings of the 16th International Symposium on Visual Information Communication and Interaction (VINCI 2023). 2023.
DOI: 10.18419/darus-3589
Abstract
Source code of our visual analysis system to explore scene-graph-based visual question answering.This approach is built on top of the state-of-the-art GraphVQA frameworkwhich was trained on the GQA dataset. Instructions on how to use our system can be found in the README.
Schäfer, Noel/University of Stuttgart, Tilli, Pascal/University of Stuttgart, Munz-Körner, Tanja/University of Stuttgart, Künzel, Sebastian/University of Stuttgart, Vidyapu, Sandeep/University of Stuttgart, Vu, Ngoc Thang/University of Stuttgart, Weiskopf, Daniel/University of Stuttgart
Related to: N. Schäfer, S. Künzel, T. Munz, P. Tilli, N. T. Vu, and D. Weiskopf. Visual Analysis of Scene-Graph-Based Visual Question Answering. Proceedings of the 16th International Symposium on Visual Information Communication and Interaction (VINCI 2023). 2023
%0 Generic
%1 schafer2023visual
%A Schäfer, Noel
%A Tilli, Pascal
%A Munz-Körner, Tanja
%A Künzel, Sebastian
%A Vidyapu, Sandeep
%A Vu, Ngoc Thang
%A Weiskopf, Daniel
%D 2023
%K EXC2075 PN6 myown vis(us) visus visus:munzta visus:weiskopf
%R 10.18419/darus-3589
%T Visual Analysis System for Scene-Graph-Based Visual Question Answering
%X Source code of our visual analysis system to explore scene-graph-based visual question answering.This approach is built on top of the state-of-the-art GraphVQA frameworkwhich was trained on the GQA dataset. Instructions on how to use our system can be found in the README.
@misc{schafer2023visual,
abstract = {Source code of our visual analysis system to explore scene-graph-based visual question answering.This approach is built on top of the state-of-the-art GraphVQA frameworkwhich was trained on the GQA dataset. Instructions on how to use our system can be found in the README. },
added-at = {2023-10-04T17:31:48.000+0200},
affiliation = {Schäfer, Noel/University of Stuttgart, Tilli, Pascal/University of Stuttgart, Munz-Körner, Tanja/University of Stuttgart, Künzel, Sebastian/University of Stuttgart, Vidyapu, Sandeep/University of Stuttgart, Vu, Ngoc Thang/University of Stuttgart, Weiskopf, Daniel/University of Stuttgart},
author = {Schäfer, Noel and Tilli, Pascal and Munz-Körner, Tanja and Künzel, Sebastian and Vidyapu, Sandeep and Vu, Ngoc Thang and Weiskopf, Daniel},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/27a0b2decd921d15add6cf42e733fe3e4/tanjamunz},
doi = {10.18419/darus-3589},
howpublished = {Software},
interhash = {1d114b870579095267e6815b0c43d9ff},
intrahash = {7a0b2decd921d15add6cf42e733fe3e4},
keywords = {EXC2075 PN6 myown vis(us) visus visus:munzta visus:weiskopf},
note = {Related to: N. Schäfer, S. Künzel, T. Munz, P. Tilli, N. T. Vu, and D. Weiskopf. Visual Analysis of Scene-Graph-Based Visual Question Answering. Proceedings of the 16th International Symposium on Visual Information Communication and Interaction (VINCI 2023). 2023},
orcid-numbers = {Munz-Körner, Tanja/0000-0003-3960-3290, Künzel, Sebastian/0009-0001-0799-4293, Vidyapu, Sandeep/0000-0003-3595-5221, Vu, Ngoc Thang/0000-0001-7893-9147, Weiskopf, Daniel/0000-0003-1174-1026},
timestamp = {2023-10-04T17:31:48.000+0200},
title = {Visual Analysis System for Scene-Graph-Based Visual Question Answering},
year = 2023
}