Computer Vision
- Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli:
Neural Scene De-rendering (web) (bibtex)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
#deep learning, #self-supervised learning, #inverse graphics, #computer vision, #scene understanding
@article{JiajunWu:2017:2afa9,
author = {Jiajun Wu and Joshua B. Tenenbaum and Pushmeet Kohli},
journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {Neural Scene De-rendering},
year = {2017},
keywords = {deep learning, self-supervised learning, inverse graphics, computer vision, scene understanding},
doi = {},
url = {http://nsd.csail.mit.edu/}
}
- Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Joshua B. Tenenbaum:
Self-Supervised Intrinsic Image Decomposition (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#computer vision, #deep learning, #self-supervised learning
@article{MichaelJanner:2017:e02af,
author = {Michael Janner and Jiajun Wu and Tejas D. Kulkarni and Ilker Yildirim and Joshua B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {Self-Supervised Intrinsic Image Decomposition},
year = {2017},
keywords = {computer vision, deep learning, self-supervised learning},
doi = {},
url = {http://rin.csail.mit.edu/}
}
- Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration (web) (bibtex)
European Conference on Computer Vision (ECCV)
#computer vision, #hierarchical bayes, #scene understanding
@article{TianfanXue:2018:4ccba,
author = {Tianfan Xue and Jiajun Wu and Zhoutong Zhang and Chengkai Zhang and Joshua B. Tenenbaum and William T. Freeman},
journal = {European Conference on Computer Vision (ECCV)},
title = {Seeing Tree Structure from Vibration},
year = {2018},
keywords = {computer vision, hierarchical bayes, scene understanding},
doi = {},
url = {http://tree.csail.mit.edu/}
}
- Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Describe Scenes with Programs (web) (bibtex)
International Conference on Learning Representations (ICLR)
#neuro-symbolic algorithms, #computer vision, #scene understanding
@article{YunchaoLiu:2019:11ea4,
author = {Yunchao Liu and Zheng Wu and Daniel Ritchie and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
journal = {International Conference on Learning Representations (ICLR)},
title = {Learning to Describe Scenes with Programs},
year = {2019},
keywords = {neuro-symbolic algorithms, computer vision, scene understanding},
doi = {},
url = {https://openreview.net/pdf?id=SyNPk2R9K7}
}
- Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Infer and Execute 3D Shape Programs (web) (bibtex)
International Conference on Learning Representations (ICLR)
#neuro-symbolic algorithms, #shape modeling, #computer vision
@article{YonglongTian:2019:d433c,
author = {Yonglong Tian and Andrew Luo and Xingyuan Sun and Kevin Ellis and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
journal = {International Conference on Learning Representations (ICLR)},
title = {Learning to Infer and Execute 3D Shape Programs},
year = {2019},
keywords = {neuro-symbolic algorithms, shape modeling, computer vision},
doi = {},
url = {http://shape2prog.csail.mit.edu}
}
- Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu:
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning (web) (bibtex)
International Conference on Learning Representations (ICLR)
#computer vision, #dynamics prediction, #planning
@article{MichaelJanner:2019:572c1,
author = {Michael Janner and Sergey Levine and William T. Freeman and Joshua B. Tenenbaum and Chelsea Finn and Jiajun Wu},
journal = {International Conference on Learning Representations (ICLR)},
title = {Reasoning About Physical Interactions with Object-Oriented Prediction and Planning},
year = {2019},
keywords = {computer vision, dynamics prediction, planning},
doi = {},
url = {https://people.eecs.berkeley.edu/~janner/o2p2/}
}
- Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, Sentences From Natural Supervision (web) (bibtex)
International Conference on Learning Representations (ICLR)
#computer vision, #visual reasoning, #neuro-symbolic algorithms
@article{JiayuanMao:2019:208a5,
author = {Jiayuan Mao and Chuang Gan and Pushmeet Kohli and Joshua B. Tenenbaum and Jiajun Wu},
journal = {International Conference on Learning Representations (ICLR)},
title = {The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, Sentences From Natural Supervision},
year = {2019},
keywords = {computer vision, visual reasoning, neuro-symbolic algorithms},
doi = {},
url = {http://nscl.csail.mit.edu}
}
- Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of Parts, Structure, and Dynamics (web) (bibtex)
International Conference on Learning Representations (ICLR)
#dynamics prediction, #computer vision
@article{ZhenjiaXu:2019:4110f,
author = {Zhenjia Xu and Zhijian Liu and Chen Sun and Kevin Murphy and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
journal = {International Conference on Learning Representations (ICLR)},
title = {Unsupervised Discovery of Parts, Structure, and Dynamics},
year = {2019},
keywords = {dynamics prediction, computer vision},
doi = {},
url = {http://psd.csail.mit.edu}
}
- Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators (bibtex)
IEEE International Conference on Computer Vision (ICCV)
#neuro-symbolic algorithms, #deep learning, #computer vision
@article{JiayuanMao:2019:a60ea,
author = {Jiayuan Mao and Xiuming Zhang and Yikai Li and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
journal = { IEEE International Conference on Computer Vision (ICCV)},
title = {Program-Guided Image Manipulators},
year = {2019},
keywords = {neuro-symbolic algorithms, deep learning, computer vision},
doi = {},
url = {}
}
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