AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning

Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala. AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021. pages 11287-11297, Computer Vision Foundation / IEEE, 2021. [doi]

@inproceedings{Grunde-McLaughlin21,
  title = {AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning},
  author = {Madeleine Grunde-McLaughlin and Ranjay Krishna and Maneesh Agrawala},
  year = {2021},
  url = {https://openaccess.thecvf.com/content/CVPR2021/html/Grunde-McLaughlin_AGQA_A_Benchmark_for_Compositional_Spatio-Temporal_Reasoning_CVPR_2021_paper.html},
  researchr = {https://researchr.org/publication/Grunde-McLaughlin21},
  cites = {0},
  citedby = {0},
  pages = {11287-11297},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021},
  publisher = {Computer Vision Foundation / IEEE},
}