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Machine understanding of complex images is a key goal of artificial intelligence.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
Lafferty, J., McCallum, A., and Pereira, F · 2001
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Max margin Markov networks
Taskar, B., Guestrin, C., and Koller, D · 2004
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Learning efficiently with approximate inference via dual losses
Meshi, O., Sontag, D., Jaakkola, T., and Globerson, A · 2010
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Automorphism groups of graphical models and lifted variational inference
Bui, Hung Hai, Huynh, Tuyen N., and Riedel, Sebastian · 2013
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Learning hierarchical features for scene labeling
Farabet, Clement, Couprie, Camille, Najman, Laurent, and LeCun, Yann · 2013
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A fast and accurate dependency parser using neural networks
Chen, Danqi and Manning, Christopher · 2014
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Semantic image segmentation with deep convolutional nets and fully connected CRFs
Chen, Liang Chieh, Papandreou, George, Kokkinos, Iasonas, Murphy, Kevin, and Yuille, Alan L · 2014
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Adam: A method for stochastic optimization
Kingma, Diederik P. and Ba, Jimmy · 2014
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Neural machine translation by jointly learning to align and translate
Bahdanau, D., Cho, K., and Bengio, Y · 2015
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Learning deep structured models
Chen, Liang Chieh, Schwing, Alexander G, Yuille, Alan L, and Urtasun, Raquel · 2015
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Image retrieval using scene graphs
Johnson, Justin, Krishna, Ranjay, Stark, Michael, Li, Li-Jia, Shamma, David A., Bernstein, Michael S., and Li, Fei-Fei · 2015
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Deeply learning the messages in message passing inference
Lin, Guosheng, Shen, Chunhua, Reid, Ian, and van den Hengel, Anton · 2015
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An effective neural network model for graph-based dependency parsing
Pei, Wenzhe, Ge, Tao, and Chang, Baobao · 2015
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Fully connected deep structured networks
Schwing, Alexander G and Urtasun, Raquel · 2015
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Conditional random fields as recurrent neural networks
Zheng, Shuai, Jayasumana, Sadeep, Romera-Paredes, Bernardino, Vineet, Vibhav, Su, Zhizhong, Du, Dalong, Huang, Chang, and Torr, Philip HS · 2015
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Neural combinatorial optimization with reinforcement learning
Bello, Irwan, Pham, Hieu, Le, Quoc V, Norouzi, Mohammad, and Bengio, Samy · 2016
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
Krishna, Ranjay, Zhu, Yuke, Groth, Oliver, Johnson, Justin, Hata, Kenji, Kravitz, Joshua, Chen, Stephanie, Kalantidis, Yannis, Li, Li-Jia, Shamma, David A, et al · 2017
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Pixels to graphs by associative embedding
Newell, Alejandro and Deng, Jia · 2017
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Associative embedding: End-to-end learning for joint detection and grouping
Newell, Alejandro, Huang, Zhiao, and Deng, Jia · 2017
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Phrase localization and visual relationship detection with comprehensive image-language cues
Plummer, Bryan A., Mallya, Arun, Cervantes, Christopher M., Hockenmaier, Julia, and Lazebnik, Svetlana · 2017
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Discovering objects and their relations from entangled scene representations
Raposo, David, Santoro, Adam, Barrett, David, Pascanu, Razvan, Lillicrap, Timothy, and Battaglia, Peter · 2017
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Liao, Wentong, Yang, Michael Ying, Ackermann, Hanno, and Rosenhahn, Bodo · 2016
Cited alongside, same era.
Visual relationship detection with language priors
Lu, Cewu, Krishna, Ranjay, Bernstein, Michael S., and Li, Fei-Fei · 2016
Cited alongside, same era.
End-to-end learning for structured prediction energy networks
Belanger, David, Yang, Bishan, and McCallum, Andrew · 2017
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Neural message passing for quantum chemistry
Gilmer, Justin, Schoenholz, Samuel S, Riley, Patrick F, Vinyals, Oriol, and Dahl, George E · 2017
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Deep value networks learn to evaluate and iteratively refine structured outputs
Gygli, Michael, Norouzi, Mohammad, and Angelova, Anelia · 2017
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Learning combinatorial optimization algorithms over graphs
Khalil, Elias, Dai, Hanjun, Zhang, Yuyu, Dilkina, Bistra, and Song, Le · 2017
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Fully convolutional networks for semantic segmentation
Shelhamer, Evan, Long, Jonathan, and Darrell, Trevor · 2017
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Scene Graph Generation by Iterative Message Passing
Xu, Danfei, Zhu, Yuke, Choy, Christopher B., and Fei-Fei, Li · 2017
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Deep sets
Zaheer, Manzil, Kottur, Satwik, Ravanbakhsh, Siamak, Poczos, Barnabas, Salakhutdinov, Ruslan R, and Smola, Alexander J · 2017
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Neural motifs: Scene graph parsing with global context
Zellers, Rowan, Yatskar, Mark, Thomson, Sam, and Choi, Yejin · 2017
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Image generation from scene graphs
Johnson, Justin, Gupta, Agrim, and Fei-Fei, Li · 2018
Closest in time.
Graph R-CNN for scene graph generation
Yang, Jianwei, Lu, Jiasen, Lee, Stefan, Batra, Dhruv, and Parikh, Devi · 2018
Closest in time.