CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination

Inferring the why in images

Hamed Pirsiavash, Carl Vondrick, and Antonio Torralba. 2014 · 2014

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VQA: Visual Question Answering

Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, and Devi Parikh. 2015 · 2015

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Adam: A method for stochastic optimization

Diederik P Kingma and Jimmy Ba. 2015 · 2015

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Faster r-cnn: Towards real-time object detection with region proposal networks

Shaoqing Ren, Kaiming He, Ross B Girshick, and Jian Sun. 2015 · 2015

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Movieqa: Understanding stories in movies through question-answering

Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, and Sanja Fidler. 2016 · 2016

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Visual7w: Grounded question answering in images

Yuke Zhu, Oliver Groth, Michael Bernstein, and Li Fei-Fei. 2016 · 2016

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Tgif-qa: Toward spatio-temporal reasoning in visual question answering

Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, and Gunhee Kim. 2017 · 2017

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Clevr: A diagnostic dataset for compositional language and elementary visual reasoning

Justin Johnson, Bharath Hariharan, Laurens Van Der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick. 2017 · 2017

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Visual genome: Connecting language and vision using crowdsourced dense image annotations

Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al. 2017 · 2017

Cited alongside, same era.

Automatic differentiation in PyTorch

Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer. 2017 · 2017

Cited alongside, same era.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017

Cited alongside, same era.

A faster pytorch implementation of faster r-cnn

Jianwei Yang, Jiasen Lu, Dhruv Batra, and Devi Parikh. 2017 · 2017

Cited alongside, same era.

Uncovering the temporal context for video question answering

Linchao Zhu, Zhongwen Xu, Yi Yang, and Alexander G Hauptmann. 2017 · 2017

Cited alongside, same era.

Tvqa: Localized, compositional video question answering

Bert: Pre-training of deep bidirectional transformers for language understanding

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019

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Gqa: A new dataset for real-world visual reasoning and compositional question answering

Drew A Hudson and Christopher D Manning. 2019 · 2019

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Lxmert: Learning cross-modality encoder representations from transformers

Hao Tan and Mohit Bansal. 2019 · 2019

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From recognition to cognition: Visual commonsense reasoning

Rowan Zellers, Yonatan Bisk, Ali Farhadi, and Yejin Choi. 2019 · 2019

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Adversarial nli: A new benchmark for natural language understanding

Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, and Douwe Kiela. 2020 · 2020

Later among the works it cites.

Visualcomet: Reasoning about the dynamic context of a still image