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Visual question answering (Visual QA) has attracted significant attention these years.
Ohio supercomputer center, 1987
Ohio Supercomputer Center · 1987
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Convolutional networks for images, speech, and time series
Yann LeCun, Yoshua Bengio, et al · 1995
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WordNet: A lexical database for english
George A Miller · 1995
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Open information extraction from the web
Michele Banko, Michael J Cafarella, Stephen Soderland, Matthew Broadhead, and Oren Etzioni · 2007
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor · 2008
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Beyond nouns: Exploiting prepositions and comparative adjectives for learning visual classifiers
Abhinav Gupta and Larry S Davis · 2008
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Toward an architecture for never-ending language learning
Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R Hruschka, and Tom M Mitchell · 2010
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Yago2: exploring and querying world knowledge in time, space, context, and many languages
Johannes Hoffart, Fabian M Suchanek, Klaus Berberich, Edwin Lewis-Kelham, Gerard De Melo, and Gerhard Weikum · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Semantic parsing on freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang · 2013
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Jointly learning to parse and perceive: Connecting natural language to the physical world
Jayant Krishnamurthy and Thomas Kollar · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Question answering with subgraph embeddings
Antoine Bordes, Sumit Chopra, and Jason Weston · 2014
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Open question answering over curated and extracted knowledge bases
Anthony Fader, Luke Zettlemoyer, and Oren Etzioni · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 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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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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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 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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Image retrieval using scene graphs
Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Shamma, Michael Bernstein, and Li Fei-Fei · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Deep captioning with multimodal recurrent neural networks (m-rnn)
Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, and Alan Yuille · 2015
Cited alongside, same era.
Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Cited alongside, same era.
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
Cited alongside, same era.
Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel, and Yoshua Bengio · 2015
Cited alongside, same era.
Semantic parsing via staged query graph generation: Question answering with knowledge base
Scott Wen-tau Yih, Ming-Wei Chang, Xiaodong He, and Jianfeng Gao · 2015
Cited alongside, same era.
Bottom-up and top-down attention for image captioning and visual question answering
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang · 2018
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Relational inductive biases, deep learning, and graph networks
Peter W Battaglia, Jessica B Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, et al · 2018
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Being negative but constructively: Lessons learnt from creating better visual question answering datasets
Wei-Lun Chao, Hexiang Hu, and Fei Sha · 2018
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Learning answer embeddings for visual question answering
Hexiang Hu, Wei-Lun Chao, and Fei Sha · 2018
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Image generation from scene graphs
Justin Johnson, Agrim Gupta, and Li Fei-Fei · 2018
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Spice: Semantic propositional image caption evaluation
Peter Anderson, Basura Fernando, Mark Johnson, and Stephen Gould · 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
Cited alongside, same era.
Deep learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Revisiting visual question answering baselines
Allan Jabri, Armand Joulin, and Laurens Van Der Maaten · 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.
Stacked attention networks for image question answering
Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alex Smola · 2016
Cited alongside, same era.
Compositional learning for human object interaction
Keizo Kato, Yin Li, and Abhinav Gupta · 2018
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Referring relationships
Ranjay Krishna, Ines Chami, Michael Bernstein, and Li Fei-Fei · 2018
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Factorizable net: an efficient subgraph-based framework for scene graph generation
Yikang Li, Wanli Ouyang, Bolei Zhou, Jianping Shi, Chao Zhang, and Xiaogang Wang · 2018
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Attend and interact: Higher-order object interactions for video understanding
Chih-Yao Ma, Asim Kadav, Iain Melvin, Zsolt Kira, Ghassan AlRegib, and Hans Peter Graf · 2018
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Learning to specialize with knowledge distillation for visual question answering
Jonghwan Mun, Kimin Lee, Jinwoo Shin, and Bohyung Han · 2018
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Moviegraphs: Towards understanding human-centric situations from videos
Paul Vicol, Makarand Tapaswi, Lluis Castrejon, and Sanja Fidler · 2018
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Exploring visual relationship for image captioning
Ting Yao, Yingwei Pan, Yehao Li, and Tao Mei · 2018
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Neural-symbolic VQA: Disentangling reasoning from vision and language understanding
Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, and Josh Tenenbaum · 2018
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Beyond bilinear: Generalized multimodal factorized high-order pooling for visual question answering
Zhou Yu, Jun Yu, Chenchao Xiang, Jianping Fan, and Dacheng Tao · 2018
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Neural motifs: Scene graph parsing with global context
Rowan Zellers, Mark Yatskar, Sam Thomson, and Yejin Choi · 2018
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Block: Bilinear superdiagonal fusion for visual question answering and visual relationship detection
Hedi Ben-Younes, Rémi Cadene, Nicolas Thome, and Matthieu Cord · 2019
Closest in time.
MUREL: Multimodal relational reasoning for visual question answering
Remi Cadene, Hedi Ben-younes, Matthieu Cord, and Nicolas Thome · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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GQA: A new dataset for compositional question answering over real-world images
Drew A Hudson and Christopher D Manning · 2019
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Relation-aware graph attention network for visual question answering
Linjie Li, Zhe Gan, Yu Cheng, and Jingjing Liu · 2019
Closest in time.
Rethinking visual relationships for high-level image understanding
Yuanzhi Liang, Yalong Bai, Wei Zhang, Xueming Qian, Li Zhu, and Tao Mei · 2019
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The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision
Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B Tenenbaum, and Jiajun Wu · 2019
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Explainable and explicit visual reasoning over scene graphs
Jiaxin Shi, Hanwang Zhang, and Juanzi Li · 2019
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Probabilistic neural-symbolic models for interpretable visual question answering
Ramakrishna Vedantam, Karan Desai, Stefan Lee, Marcus Rohrbach, Dhruv Batra, and Devi Parikh · 2019
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