RobotVQA — A Scene-Graph- and Deep-Learning-based Visual Question Answering System for Robot Manipulation (bibtex)

by Franklin Kenghagho Kenfack, Feroz Ahmed Siddiky, Ferenc Balint-Benczedi and Michael Beetz

Reference:

Franklin Kenghagho Kenfack, Feroz Ahmed Siddiky, Ferenc Balint-Benczedi and Michael Beetz, "RobotVQA — A Scene-Graph- and Deep-Learning-based Visual Question Answering System for Robot Manipulation", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020.

Bibtex Entry:

@inproceedings{kenghagho20paperiros,
  title = {RobotVQA --- A Scene-Graph- and Deep-Learning-based Visual Question Answering System for Robot Manipulation},
  author = {Franklin Kenghagho Kenfack and Feroz Ahmed Siddiky and Ferenc Balint-Benczedi and  Michael Beetz},
  year = {2020},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address = {Las Vegas, USA},
  url = {https://www.researchgate.net/publication/344953602_RobotVQA_-A_Scene-Graph-and_Deep-Learning-based_Visual_Question_Answering_System_for_Robot_Manipulation},
  bib2html_pubtype = {Contributed Paper},
  bib2html_funding = {EASE},
  keywords = {easecrc_perception}
}