Publications

    Pushmeet Kohli

  • 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/}
    }
  • 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/}
    }
  • Tejas D Kulkarni, William F Whitney, Pushmeet Kohli, Josh Tenenbaum:
    Deep Convolutional Inverse Graphics Network (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #inverse vision, #deep learning, #disentangled representation,
    @article{TejasDKulkarni:2015:19456,
    author = {Tejas D Kulkarni and William F Whitney and Pushmeet Kohli and Josh Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Deep Convolutional Inverse Graphics Network},
    year = {2015},
    keywords = {inverse vision, deep learning, disentangled representation,},
    doi = {},
    url = {http://papers.nips.cc/paper/5851-deep-convolutional-inverse-graphics-network}
    }
  • Tejas D Kulkarni, Pushmeet Kohli, Joshua B Tenenbaum, Vikash Mansinghka:
    Picture : A Probabilistic Programming Language for Scene Perception (pdf) (doi) (bibtex)
    Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
    #analysis-by-synthesis, #inference, #deep learning, #inverse vision, #3d vision, #probabilistic programming
    @article{TejasDKulkarni:2015:cf27d,
    author = {Tejas D Kulkarni and Pushmeet Kohli and Joshua B Tenenbaum and Vikash Mansinghka},
    journal = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
    title = {Picture : A Probabilistic Programming Language for Scene Perception},
    year = {2015},
    keywords = {analysis-by-synthesis, inference, deep learning, inverse vision, 3d vision, probabilistic programming},
    doi = {10.1109/CVPR.2015.7299068},
    url = {http://openaccess.thecvf.com/content_cvpr_2015/papers/Kulkarni_Picture_A_Probabilistic_2015_CVPR_paper.pdf}
    }
  • Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum:
    Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding (web) (bibtex)
    Advances in Neural Information Processing Systems (NIPS)
    #visual reasoning, #deep learning, #scene understanding
    @article{KexinYi:2018:480b1,
    author = {Kexin Yi and Jiajun Wu and Chuang Gan and Antonio Torralba and Pushmeet Kohli and Joshua B. Tenenbaum},
    journal = {Advances in Neural Information Processing Systems (NIPS)},
    title = {Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding},
    year = {2018},
    keywords = {visual reasoning, deep learning, scene understanding},
    doi = {},
    url = {http://nsvqa.csail.mit.edu/}
    }

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