Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering

Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing. Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 2659-2670, 2018. [doi]

@inproceedings{NarasimhanLS18,
  title = {Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering},
  author = {Medhini Narasimhan and Svetlana Lazebnik and Alexander G. Schwing},
  year = {2018},
  url = {http://papers.nips.cc/paper/7531-out-of-the-box-reasoning-with-graph-convolution-nets-for-factual-visual-question-answering},
  researchr = {https://researchr.org/publication/NarasimhanLS18},
  cites = {0},
  citedby = {0},
  pages = {2659-2670},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}