@phdthesis{doersch2016unsupervised,
  title = {Supervision Beyond Manual Annotations for Learning Visual Representations},
  author = {Doersch, Carl},
  school = {Carnegie Mellon University},
  year = {2016},
}

@inproceedings{doersch2015unsupervised,
  title = {Unsupervised Visual Representation Learning by Context Prediction},
  author = {Doersch, Carl and Gupta, Abhinav and Efros, Alexei A.},
  booktitle = {International Conference on Computer Vision},
  year = {2015},
}

@article{doersch2016tutorial,
  title = {Tutorial on Variational Autoencoders},
  author = {Doersch, Carl},
  journal = {arXiv preprint arXiv:1606.05908},
  year = {2016},
}

@inproceedings{walker2016uncertain,
  title = {An Uncertain Future: Forecasting from Static Images using Variational Autoencoders},
  author = {Walker, Jacob and Doersch, Carl and Gupta, Abhinav and Hebert, Martial},
  booktitle = {European Conference on Computer Vision},
  year = {2016},
}

@inproceedings{doersch2014context,
  title = {Context as Supervisory Signal:  Discovering Objects with Predictable Context},
  author = {Doersch, Carl and Gupta, Abhinav and Efros, Alexei A.},
  booktitle = {European Conference on Computer Vision},
  year = {2014},
}

@inproceedings{doersch2013mid,
  title = {Mid-Level Visual Element Discovery as Discriminative Mode Seeking},
  author = {Doersch, Carl and Gupta, Abhinav and Efros, Alexei A.},
  booktitle = {Neural Information Processing Systems (NIPS)},
  year = {2013},
}

@article{doersch2012what,
  title = {What Makes Paris Look like Paris?},
  author = {Carl Doersch and Saurabh Singh and Abhinav Gupta and Josef Sivic and Alexei A. Efros},
  journal = {ACM Transactions on Graphics (SIGGRAPH)},
  volume = {31},
  number = {4},
  year = {2012},
}

@article{doersch2015makes,
  title={What makes Paris look like Paris?},
  author={Doersch, Carl and Singh, Saurabh and Gupta, Abhinav and Sivic, Josef and Efros, Alexei A},
  journal={Communications of the ACM},
  volume={58},
  number={12},
  pages={103--110},
  year={2015},
  publisher={ACM}
}

          

@article{huang2012bounding,
  title={Bounding the Probability of Error for High Precision Optical Character Recognition},
  author={Huang, G.B. and Kae, A. and Doersch, C. and Learned-Miller, E.},
  journal={Journal of Machine Learning Research},
  volume={12},
  pages={363--387},
  year={2012}
}
          

@INPROCEEDINGS{kae10improving,
  author = {Andrew Kae and Gary B. Huang and Carl Doersch and Erik Learned-Miller},
  title = {Improving state-of-the-art OCR through high-precision document-specific modeling.},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2010},
  month = {Jun}
}