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Visual Question Answering (VQA) in its ideal form lets us study reasoning in the joint space of vision and language and serves as a proxy for the AI task of scene understanding.
Semantic parsing on freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang · 2013
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Neil: Extracting visual knowledge from web data
Xinlei Chen, Abhinav Shrivastava, and Abhinav Gupta · 2013
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Question answering with subgraph embeddings
Antoine Bordes, Sumit Chopra, and Jason Weston · 2014
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Learning everything about anything: Webly-supervised visual concept learning
Santosh Divvala, Ali Farhadi, and Carlos Guestrin · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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A multi-world approach to question answering about real-world scenes based on uncertain input
Mateusz Malinowski and Mario Fritz · 2014
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Joint video and text parsing for understanding events and answering queries
Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, and Song-Chun Zhu · 2014
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Information extraction over structured data: Question answering with freebase
Xuchen Yao and Benjamin Van Durme · 2014
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Reasoning about object affordances in a knowledge base representation
Yuke Zhu, Alireza Fathi, and Li Fei-Fei · 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
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Are you talking to a machine? dataset and methods for multilingual image question
Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, and Wei Xu · 2015
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Fast r-cnn
Ross Girshick · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Skip-thought vectors
Ryan Kiros, Yukun Zhu, Ruslan R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler · 2015
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Ask your neurons: A neural-based approach to answering questions about images
Mateusz Malinowski, Marcus Rohrbach, and Mario Fritz · 2015
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Exploring models and data for image question answering
Mengye Ren, Ryan Kiros, and Richard S. Zemel · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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Viske: Visual knowledge extraction and question answering by visual verification of relation phrases
Fereshteh Sadeghi, Santosh K Divvala, and Ali Farhadi · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, arthur szlam, Jason Weston, and Rob Fergus · 2015
Cited alongside, same era.
Semantic parsing via staged query graph generation: Question answering with knowledge base
Wen-tau Yih, Ming-Wei Chang, Xiaodong He, and Jianfeng Gao · 2015
Cited alongside, same era.
Visual madlibs: Fill in the blank description generation and question answering
Licheng Yu, Eunbyung Park, Alexander C. Berg, and Tamara L. Berg · 2015
Cited alongside, same era.
Building a large-scale multimodal knowledge base for visual question answering
Yuke Zhu, Ce Zhang, Christopher Ré, and Li Fei-Fei · 2015
Cited alongside, same era.
Neural module networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein · 2016
Cited alongside, same era.
Multimodal compact bilinear pooling for visual question answering and visual grounding
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach · 2016
Embodied question answering
Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, and Dhruv Batra · 2017
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IQA: Visual question answering in interactive environments
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, and Ali Farhadi · 2017
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh · 2017
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Learning to reason: End-to-end module networks for visual question answering
Ronghang Hu, Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Kate Saenko · 2017
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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
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Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Ask me anything: Dynamic memory networks for natural language processing
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, and Richard Socher · 2016
Cited alongside, same era.
Hierarchical question-image co-attention for visual question answering
Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh · 2016
Cited alongside, same era.
Movieqa: Understanding stories in movies through question-answering
Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, and Sanja Fidler · 2016
Cited alongside, same era.
Ask me anything: Free-form visual question answering based on knowledge from external sources
Qi Wu, Peng Wang, Chunhua Shen, Anthony R. Dick, and Anton van den Hengel · 2016
Cited alongside, same era.
Dynamic memory networks for visual and textual question answering
Caiming Xiong, Stephen Merity, and Richard Socher · 2016
Cited alongside, same era.
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick · 2017
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Inferring and executing programs for visual reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, and Ross B. Girshick · 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, Michael S. Bernstein, and Li Fei-Fei · 2017
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Incorporating external knowledge to answer open-domain visual questions with dynamic memory networks
Guohao Li, Hang Su, and Wenwu Zhu · 2017
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Marioqa: Answering questions by watching gameplay videos
Jonghwan Mun, Paul Hongsuck Seo, Ilchae Jung, and Bohyung Han · 2017
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Explicit knowledge-based reasoning for visual question answering
Peng Wang, Qi Wu, Chunhua Shen, Anthony R. Dick, and Anton van den Hengel · 2017
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Fvqa: Fact-based visual question answering
Peng Wang, Qi Wu, Chunhua Shen, Anton van den Hengel, and Anthony R. Dick · 2017
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Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba · 2017
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Knowledge acquisition for visual question answering via iterative querying
Yuke Zhu, Joseph J. Lim, and Li Fei-Fei · 2017
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Pythia v0. 1: the winning entry to the vqa challenge 2018
Yu Jiang, Vivek Natarajan, Xinlei Chen, Marcus Rohrbach, Dhruv Batra, and Devi Parikh · 2018
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Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang · 2018
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Out of the box: Reasoning with graph convolution nets for factual visual question answering
Medhini Narasimhan, Svetlana Lazebnik, and Alexander G Schwing · 2018
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Straight to the facts: Learning knowledge base retrieval for factual visual question answering
Medhini Narasimhan and Alexander G. Schwing · 2018
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