William T. Freeman
- Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding (web) (bibtex)
Proceedings of the 38th Annual Conference of the Cognitive Science Society
#intuitive physics, #simulation, #deep learning, #scene understanding
@article{RenqiaoZhang:2016:84ee7,
author = {Renqiao Zhang and Jiajun Wu and Chengkai Zhang and William T. Freeman and Joshua B. Tenenbaum},
journal = {Proceedings of the 38th Annual Conference of the Cognitive Science Society},
title = {A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding},
year = {2016},
keywords = {intuitive physics, simulation, deep learning, scene understanding},
doi = {},
url = {http://blocks.csail.mit.edu/}
}
- Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman:
Physics 101: Learning Physical Object Properties from Unlabeled Videos (web) (bibtex)
British Machine Vision Conference (BMVC)
#intuitive physics, #unsupervised learning, #deep learning, #scene understanding
@article{JiajunWu:2016:9e6c9,
author = {Jiajun Wu and Joseph J. Lim and Hongyi Zhang and Joshua B. Tenenbaum and William T. Freeman},
journal = {British Machine Vision Conference (BMVC)},
title = {Physics 101: Learning Physical Object Properties from Unlabeled Videos},
year = {2016},
keywords = {intuitive physics, unsupervised learning, deep learning, scene understanding},
doi = {},
url = {http://phys101.csail.mit.edu/}
}
- Jiajun Wu, Ilker Yildirim, Joseph J. Lim, William T. Freeman, Joshua B. Tenenbaum:
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#intuitive physics, #simulation, #deep learning, #unsupervised learning, #scene understanding
@article{JiajunWu:2015:27dc4,
author = {Jiajun Wu and Ilker Yildirim and Joseph J. Lim and William T. Freeman and Joshua B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning},
year = {2015},
keywords = {intuitive physics, simulation, deep learning, unsupervised learning, scene understanding},
doi = {},
url = {http://galileo.csail.mit.edu/}
}
- Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Single Image 3D Interpreter Network (web) (bibtex)
European Conference in Computer Vision (ECCV)
#deep learning, #self-supervised learning, #3d vision
@article{JiajunWu:2016:770f7,
author = {Jiajun Wu and Tianfan Xue and Joseph J. Lim and Yuandong Tian and Joshua B. Tenenbaum and Antonio Torralba and William T. Freeman},
journal = {European Conference in Computer Vision (ECCV)},
title = {Single Image 3D Interpreter Network},
year = {2016},
keywords = {deep learning, self-supervised learning, 3d vision},
doi = {},
url = {http://3dinterpreter.csail.mit.edu/}
}
- Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum:
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#simulation, #deep learning, #generative adversarial learning, #3d vision
@article{JiajunWu:2016:3471d,
author = {Jiajun Wu and Chengkai Zhang and Tianfan Xue and William T. Freeman and Joshua B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling},
year = {2016},
keywords = {simulation, deep learning, generative adversarial learning, 3d vision},
doi = {},
url = {http://3dgan.csail.mit.edu/}
}
- Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, James Traer, Josh H. McDermott, Joshua B. Tenenbaum, William T. Freeman:
Generative Modeling of Audible Shapes for Object Perception (pdf) (bibtex)
IEEE International Conference on Computer Vision (ICCV)
#deep learning, #simulation, #auditory perception, #scene understanding
@article{ZhoutongZhang:2017:4f1fd,
author = {Zhoutong Zhang and Jiajun Wu and Qiujia Li and Zhengjia Huang and James Traer and Josh H. McDermott and Joshua B. Tenenbaum and William T. Freeman},
journal = {IEEE International Conference on Computer Vision (ICCV)},
title = {Generative Modeling of Audible Shapes for Object Perception},
year = {2017},
keywords = {deep learning, simulation, auditory perception, scene understanding},
doi = {},
url = {https://jiajunwu.com/papers/gensound_iccv.pdf}
}
- Jiajun Wu, Erika Lu, Pushmeet Kohli, William T. Freeman, Joshua B. Tenenbaum:
Learning to See Physics via Visual De-animation (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#intuitive physics, #simulation, #deep learning, #scene understanding
@article{JiajunWu:2017:4849f,
author = {Jiajun Wu and Erika Lu and Pushmeet Kohli and William T. Freeman and Joshua B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {Learning to See Physics via Visual De-animation},
year = {2017},
keywords = {intuitive physics, simulation, deep learning, scene understanding},
doi = {},
url = {http://vda.csail.mit.edu/}
}
- Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T. Freeman, Joshua B. Tenenbaum:
MarrNet: 3D Shape Reconstruction via 2.5D Sketches (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#3d vision, #deep learning
@article{JiajunWu:2017:cfe2b,
author = {Jiajun Wu and Yifan Wang and Tianfan Xue and Xingyuan Sun and William T. Freeman and Joshua B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {MarrNet: 3D Shape Reconstruction via 2.5D Sketches},
year = {2017},
keywords = {3d vision, deep learning},
doi = {},
url = {http://marrnet.csail.mit.edu/}
}
- Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu, Joshua B. Tenenbaum, William T. Freeman:
Shape and Material from Sound (web) (bibtex)
Advances in Neural Information Processing Systems (NIPS)
#auditory perception, #deep learning, #simulation
@article{ZhoutongZhang:2017:1d3c7,
author = {Zhoutong Zhang and Qiujia Li and Zhengjia Huang and Jiajun Wu and Joshua B. Tenenbaum and William T. Freeman},
journal = {Advances in Neural Information Processing Systems (NIPS)},
title = {Shape and Material from Sound},
year = {2017},
keywords = {auditory perception, deep learning, simulation},
doi = {},
url = {http://sound.csail.mit.edu/}
}
- Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling (web) (bibtex)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
#3d vision, #deep learning
@article{XingyuanSun:2018:02ad6,
author = {Xingyuan Sun and Jiajun Wu and Xiuming Zhang and Zhoutong Zhang and Chengkai Zhang and Tianfan Xue and Joshua B. Tenenbaum and William T. Freeman},
journal = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling},
year = {2018},
keywords = {3d vision, deep learning},
doi = {},
url = {http://pix3d.csail.mit.edu}
}
- Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson:
3D Shape Perception from Monocular Vision, Touch, and Shape Priors (web) (bibtex)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
#3d vision, #multi-modal learning, #deep learning
@article{ShaoxiongWang:2018:158c4,
author = {Shaoxiong Wang and Jiajun Wu and Xingyuan Sun and Wenzhen Yuan and William T. Freeman and Joshua B. Tenenbaum and Edward H. Adelson},
journal = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
title = {3D Shape Perception from Monocular Vision, Touch, and Shape Priors},
year = {2018},
keywords = {3d vision, multi-modal learning, deep learning},
doi = {},
url = {http://touch.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/}
}
- Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion and Reconstruction (web) (bibtex)
European Conference on Computer Vision (ECCV)
#3d vision, #deep learning
@article{JiajunWu:2018:11782,
author = {Jiajun Wu and Chengkai Zhang and Xiuming Zhang and Zhoutong Zhang and William T. Freeman and Joshua B. Tenenbaum},
journal = {European Conference on Computer Vision (ECCV)},
title = {Learning Shape Priors for Single-View 3D Completion and Reconstruction},
year = {2018},
keywords = {3d vision, deep learning},
doi = {},
url = {http://shapehd.csail.mit.edu/}
}
- Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Physical Primitive Decomposition (web) (bibtex)
European Conference on Computer Vision (ECCV)
#3d vision, #deep learning, #intuitive physics
@article{ZhijianLiu:2018:7414d,
author = {Zhijian Liu and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
journal = {European Conference on Computer Vision (ECCV)},
title = {Physical Primitive Decomposition},
year = {2018},
keywords = {3d vision, deep learning, intuitive physics},
doi = {},
url = {http://ppd.csail.mit.edu/}
}
- Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
3D Interpreter Networks for Viewer-Centered Wireframe Modeling (web) (bibtex)
International Journal of Computer Vision (IJCV)
#3d vision, #deep learning
@article{JiajunWu:2018:ad749,
author = {Jiajun Wu and Tianfan Xue and Joseph J. Lim and Yuandong Tian and Joshua B. Tenenbaum and Antonio Torralba and William T. Freeman},
journal = {International Journal of Computer Vision (IJCV)},
title = {3D Interpreter Networks for Viewer-Centered Wireframe Modeling},
year = {2018},
keywords = {3d vision, deep learning},
doi = {},
url = {http://3dinterpreter.csail.mit.edu/}
}
- Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum:
3D-Aware Scene Manipulation via Inverse Graphics (web) (bibtex)
Advances in Neural Information Processing Systems (NeurIPS)
#3d vision, #deep learning, #scene understanding
@article{ShunyuYao:2018:a9aef,
author = {Shunyu Yao and Tzu-Ming Harry Hsu and Jun-Yan Zhu and Jiajun Wu and Antonio Torralba and William T. Freeman and Joshua B. Tenenbaum},
journal = {Advances in Neural Information Processing Systems (NeurIPS)},
title = {3D-Aware Scene Manipulation via Inverse Graphics},
year = {2018},
keywords = {3d vision, deep learning, scene understanding},
doi = {},
url = {http://3dsdn.csail.mit.edu/}
}
- Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Exploit Stability for 3D Scene Parsing (web) (bibtex)
Advances in Neural Information Processing Systems (NeurIPS)
#3d vision, #deep learning, #scene understanding
@article{YilunDu:2018:b73f5,
author = {Yilun Du and Zhijian Liu and Hector Basevi and Ales Leonardis and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
journal = {Advances in Neural Information Processing Systems (NeurIPS)},
title = {Learning to Exploit Stability for 3D Scene Parsing},
year = {2018},
keywords = {3d vision, deep learning, scene understanding},
doi = {},
url = {http://scenephys.csail.mit.edu/}
}
- Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes (web) (bibtex)
Advances in Neural Information Processing Systems (NeurIPS)
#3d vision, #deep learning
@article{XiumingZhang:2018:0b69d,
author = {Xiuming Zhang and Zhoutong Zhang and Chengkai Zhang and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
journal = {Advances in Neural Information Processing Systems (NeurIPS)},
title = {Learning to Reconstruct Shapes from Unseen Classes},
year = {2018},
keywords = {3d vision, deep learning},
doi = {},
url = {http://genre.csail.mit.edu/}
}
- Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representations (web) (bibtex)
Advances in Neural Information Processing Systems (NeurIPS)
#3d vision, #deep learning
@article{Jun-YanZhu:2018:3aa73,
author = {Jun-Yan Zhu and Zhoutong Zhang and Chengkai Zhang and Jiajun Wu and Antonio Torralba and Joshua B. Tenenbaum and William T. Freeman},
journal = {Advances in Neural Information Processing Systems (NeurIPS)},
title = {Visual Object Networks: Image Generation with Disentangled 3D Representations},
year = {2018},
keywords = {3d vision, deep learning},
doi = {},
url = {http://von.csail.mit.edu/}
}
- Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik:
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics (web) (bibtex)
IEEE International Conference on Robotics and Automation (ICRA)
#dynamics modeling, #deep learning, #robotics
@article{YuanmingHu:2019:88b13,
author = {Yuanming Hu and Jiancheng Liu and Andrew Spielberg and Joshua B. Tenenbaum and William T. Freeman and Jiajun Wu and Daniela Rus and Wojciech Matusik},
journal = {IEEE International Conference on Robotics and Automation (ICRA)},
title = {ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics},
year = {2019},
keywords = {dynamics modeling, deep learning, robotics},
doi = {},
url = {https://github.com/yuanming-hu/ChainQueen}
}
- 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/}
}
- 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 = {}
}
- Yikai Li*, Jiayuan Mao*, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Perspective Plane Program Induction from a Single Image (web) (bibtex)
Conference on Computer Vision and Pattern Recognition (CVPR)
#inverse graphics, #image manipulation
@article{YikaiLi*:2020:8acd2,
author = {Yikai Li* and Jiayuan Mao* and Xiuming Zhang and William T. Freeman and Joshua B. Tenenbaum and Jiajun Wu},
journal = {Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {Perspective Plane Program Induction from a Single Image},
year = {2020},
keywords = {inverse graphics, image manipulation},
doi = {},
url = {https://arxiv.org/abs/2006.14708}
}
add/edit publications
