jcorso_fullstripped.bib

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@inproceedings{GrScFoFUSION2014,
  author = {Gross, G. A. and Schlegel, D. R. and {\bf Corso}, {\bf J. J.} and Llinas, J. and Nagi, R. and Shapiro, S. C.},
  booktitle = {Proceedings of International Conference on Information Fusion},
  tags = {information fusion},
  title = {Systemic Test and Evaluation of a Hard+Soft Information Fusion Framework: Challenges and Current Approaches},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/gross_FUSION_2014.pdf},
  year = {2014}
}

@inproceedings{BaBaChECCV2014,
  author = {Barbu, A. and Barrett, D. and Chen, W. and Siddharth, N. and Xiong, C. and {\bf Corso}, {\bf J. J.} and Fellbaum, C. D. and Hanson, C. and Hanson, S. J. and H{\'e}lie, S. and Malaia, E. and Pearlmutter, B. A. and Siskind, J. M. and Talavage, T. M. and Wilbur, R. B.},
  booktitle = {Proceedings of European Conference on Computer Vision},
  tags = {computer vision, activity recognition, video understanding, medical imaging, neuroimaging},
  title = {Seeing is Worse than Believing: Reading People's Minds Better Than Computer-Vision Methods Recognize Actions},
  url = {ftp://ftp.ecn.purdue.edu/qobi/eccv2014.pdf},
  year = {2014}
}

@inproceedings{XiMcCoAAAI2014,
  author = {Xiong, C. and McCloskey, S. and {\bf Corso}, {\bf J. J.}},
  booktitle = {Proceedings of AAAI Conference on Artificial Intelligence},
  tags = {data mining, machine learning, domain adaptation},
  title = {Latent Domains for Visual Domain Adaptation},
  year = {2014}
}

@inproceedings{KuDhCoAAAI2014,
  author = {Kumar, S. and Dhiman, V. and {\bf Corso}, {\bf J. J.}},
  booktitle = {Proceedings of AAAI Conference on Artificial Intelligence},
  codedownload = {https://bitbucket.org/surenkum/bimodal_sparse},
  tags = {artificial intelligence, language grounding, computer vision, cognitive systems},
  title = {Learning Compositional Sparse Models of Bimodal Percepts},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/aaai2014_kumar_final.pdf},
  year = {2014}
}

@inproceedings{ChXiXuCVPR2014,
  author = {Chen, W. and Xiong, C. and Xu, R. and {\bf Corso}, {\bf J. J.}},
  booktitle = {{Proceedings of IEEE Conference on Computer Vision and Pattern Recognition}},
  codedownload = {http://web.eecs.umich.edu/~jjcorso/r/files/actionness_code_v1.tar.bz},
  poster = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_CVPR2014_actionness_poster.pdf},
  tags = {computer vision, activity recognition, video understanding},
  title = {Actionness Ranking with Lattice Conditional Ordinal Random Fields},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_CVPR2014_actionness.pdf},
  year = {2014}
}

@inproceedings{KuNaSiICRA2014,
  author = {Kumar, S. and Narayanan, M. S. and Singhal, P. and {\bf Corso}, {\bf J. J.} and Krovi, V.},
  booktitle = {Proceedings of IEEE International Conference on Robotics and Automation},
  tags = {surgical robotics, video understanding, tracking},
  title = {Surgical Tool Attributes from Monocular Video},
  year = {2014}
}

@inproceedings{DhKuDeICRA2014,
  author = {Dhiman, V. and Kundu, A. and Dellaert, F. and {\bf Corso}, {\bf J. J.}},
  booktitle = {Proceedings of International Conference on Robotics and Automation},
  codedownload = {https://github.com/wecacuee/modern-occupancy-grid},
  tags = {localization, mobile robotics, slam},
  title = {Modern {MAP} Inference Methods for Accurate and Faster Occupancy Grid Mapping on Higher Order Factor Graphs},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/dhiman_ICRA2014_modernmap.pdf},
  year = {2014}
}

@inproceedings{XiChChSDM2014,
  author = {Xiong, C. and Chen, W. and Chen, G. and Johnson, D. and {\bf Corso}, {\bf J. J.}},
  booktitle = {Proceedings of {SIAM} International Conference on Data Mining},
  codedownload = {http://web.eecs.umich.edu/~jjcorso/pubs/AQH.zip},
  tags = {data mining, machine learning},
  title = {Adaptive Quantization: An Information-Based Approach to Learning Binary Codes},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/cxiong_SDM2014_adahash.pdf},
  year = {2014}
}

@article{XuDoHaIJSC2014,
  author = {Xu, C. and Doell, R. F. and Hanson, S. J. and Hanson, C. and {\bf Corso}, {\bf J. J}},
  journal = {International Journal of Semantic Computing},
  note = {Selected as a Best Paper from ICSC; an earlier version appeared as arXiv:1311.3318.},
  tags = {visual psychophysics, computer vision, video understanding, supervoxel},
  title = {A Study of Actor and Action Semantic Retention in Video Supervoxel Segmentation},
  url = {http://web.eecs.umich.edu/~jjcorso/pubs/jcorso_IJSC2013_SVXHuman.pdf},
  year = {2014}
}

@article{AgKuRyTMECH2014,
  author = {Agarwal, P. and Kumar, S. and Ryde, J. and {\bf Corso}, {\bf J. J.} and Krovi, V. N.},
  journal = {IEEE/ASME Transactions on Mechatronics},
  number = {4},
  pages = {1412--1423},
  tags = {computer vision, human pose estimation, video understanding, tracking},
  title = {Estimating Dynamics On-The-Fly Using Monocular Video for Vision-Based Robotics},
  url = {http://dx.doi.org/10.1109/TMECH.2013.2284235},
  volume = {19},
  year = {2014}
}

@article{OhMcKiMVA2014,
  author = {Oh, S. and McCloskey, S. and Kim, I. and Vahdat, A. and Cannons, K. and Hajimirsadeghi, H. and Mori, G. and Perera, A. G. A. and Pandey, M. and {\bf Corso}, {\bf J. J.}},
  journal = {Machine Vision and Applications},
  pages = {49--69},
  tags = {computer vision, video understanding, event recognition, fusion, multimedia},
  title = {Multimedia Event Detection with Multimodal Feature Fusion and Temporal Concept Localization},
  url = {http://link.springer.com/article/10.1007%2Fs00138-013-0525-x},
  volume = {25},
  year = {2014}
}

@article{WuChZhIJCARS2014,
  author = {Wu, W. and Chen, A. Y. C. and Zhao, L. and {\bf Corso}, {\bf J. J.}},
  journal = {International Journal of Computer Aided Radiology and Surgery},
  number = {2},
  pages = {241--253},
  tags = {braintumor, computer-aided diagnosis, graphical models, medical imaging, mrf, neuroimaging, segmentation},
  title = {Brain Tumor Detection and Segmentation in a {CRF} (Conditional Random Fields) Framework with Pixel-pairwise Affinity and Superpixel-level Features},
  url = {http://link.springer.com/article/10.1007%2Fs11548-013-0922-7},
  volume = {9},
  year = {2014}
}