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Michael Jones

Michael Jones
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  • Biography

    Mike's main areas of interest are computer vision, machine learning and data mining. He has focused on algorithms for detecting and analyzing people in images and video including face detection and recognition and pedestrian detection. He is a co-inventor of the popular Viola-Jones face detection method. Mike has been awarded the Marr Prize at ICCV and the Longuet-Higgins Prize at CVPR.

  • Recent News & Events


    See All News & Events for Mike

  • Awards

    •  AWARD   CVPR 2011 Longuet-Higgins Prize
      Date: June 25, 2011
      Awarded to: Paul A. Viola and Michael J. Jones
      Awarded for: "Rapid Object Detection using a Boosted Cascade of Simple Features"
      Awarded by: Conference on Computer Vision and Pattern Recognition (CVPR)
      MERL Contact: Michael Jones
      Research Area: Machine Learning
      Brief
      • Paper from 10 years ago with the largest impact on the field: "Rapid Object Detection using a Boosted Cascade of Simple Features", originally published at Conference on Computer Vision and Pattern Recognition (CVPR 2001).
    •  
    See All Awards for MERL

  • Research Highlights

  • Internships with Mike

    • CV1534: Video Anomaly Detection

      MERL is looking for a self-motivated intern to work on the problem of video anomaly detection. The intern will help to develop new ideas for improving the state of the art in detecting anomalous activity in videos. The ideal candidate would be a Ph.D. student with a strong background in machine learning and computer vision and some experience with video anomaly detection in particular. Proficiency in Python programming and Pytorch/Tensorflow is necessary. You are expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The internship is for 3 months and the start date is flexible. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    • CV1535: Exploring Kervolutional Neural Networks

      MERL is seeking an intern to conduct research in the area of neural networks with nonlinear kernel activation functions (kervolutional networks) for applications in computer vision. The ideal candidate is a PhD student with experience in deep learning and computer vision and a strong publication record at top-tier venues. Prior experience in the design of novel network architectures and knowledge of kervolutional networks is strongly preferred. Very good Python and Pytorch/Tensorflow skills are required. Publication of results in conference proceedings and journals is expected. The expected duration of the internship is 3 months and the start date is flexible. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

    See All Internships at MERL

  • MERL Publications

    •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "Knowledge Distillation Thrives on Data Augmentation", arXiv, December 2020.
      BibTeX arXiv
      • @article{Wang2020dec3,
      • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
      • title = {Knowledge Distillation Thrives on Data Augmentation},
      • journal = {arXiv},
      • year = 2020,
      • month = dec,
      • url = {https://arxiv.org/abs/2012.02909}
      • }
    •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "Multi-Head Knowledge Distillation for Model Compression", arXiv, December 2020.
      BibTeX arXiv
      • @article{Wang2020dec2,
      • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
      • title = {Multi-Head Knowledge Distillation for Model Compression},
      • journal = {arXiv},
      • year = 2020,
      • month = dec,
      • url = {https://arxiv.org/abs/2012.02911}
      • }
    •  Jones, M.J., Ramachandra, B., Vatsavai, R., "A Survey of Single-Scene Video Anomaly Detection", arXiv, August 2020.
      BibTeX arXiv
      • @article{Jones2020aug,
      • author = {Jones, Michael J. and Ramachandra, Bharathkumar and Vatsavai, Ranga},
      • title = {A Survey of Single-Scene Video Anomaly Detection},
      • journal = {arXiv},
      • year = 2020,
      • month = aug,
      • url = {https://arxiv.org/abs/2004.05993}
      • }
    •  Kumar, A., Marks, T., Mou, W., Wang, Y., Cherian, A., Jones, M.J., Liu, X., Koike-Akino, T., Feng, C., "LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/CVPR42600.2020.00826, June 2020.
      BibTeX TR2020-067 PDF Video Data Software
      • @inproceedings{Kumar2020jun,
      • author = {Kumar, Abhinav and Marks, Tim and Mou, Wenxuan and Wang, Ye and Cherian, Anoop and Jones, Michael J. and Liu, Xiaoming and Koike-Akino, Toshiaki and Feng, Chen},
      • title = {LUVLi Face Alignment: Estimating Landmarks’ Location, Uncertainty, and Visibility Likelihood},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2020,
      • month = jun,
      • publisher = {IEEE},
      • doi = {10.1109/CVPR42600.2020.00826},
      • issn = {2575-7075},
      • isbn = {978-1-7281-7168-5},
      • url = {https://www.merl.com/publications/TR2020-067}
      • }
    •  Ramachandra, B., Jones, M.J., Vatsavai, R., "A Survey of Single-Scene Video Anomaly Detection", arXiv, April 2020.
      BibTeX arXiv
      • @article{Ramachandra2020apr,
      • author = {Ramachandra, Bharathkumar and Jones, Michael J. and Vatsavai, Ranga},
      • title = {A Survey of Single-Scene Video Anomaly Detection},
      • journal = {arXiv},
      • year = 2020,
      • month = apr,
      • url = {https://arxiv.org/abs/2004.05993}
      • }
    See All Publications for Mike

  • Other Publications

    •  G.B. Huang, M.J. Jones, E. Learned-Miller and others, "Lfw results using a combined nowak plus merl recognizer", 2008.
      BibTeX
      • @Article{huang2008lfw,
      • author = {Huang, G.B. and Jones, M.J. and Learned-Miller, E. and others},
      • title = {Lfw results using a combined nowak plus merl recognizer},
      • year = 2008
      • }
    •  T.J. Cham, S. Krishnamoorthy and M. Jones, "Analogous view transfer for gaze correction in video sequences", Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on, 2002, vol. 3, pp. 1415-1420.
      BibTeX
      • @Inproceedings{cham2002analogous,
      • author = {Cham, T.J. and Krishnamoorthy, S. and Jones, M.},
      • title = {Analogous view transfer for gaze correction in video sequences},
      • booktitle = {Control, Automation, Robotics and Vision, 2002. ICARCV 2002. 7th International Conference on},
      • year = 2002,
      • volume = 3,
      • pages = {1415--1420},
      • organization = {IEEE}
      • }
    •  M.J. Jones and J.M. Rehg, "Statistical color models with application to skin detection", International Journal of Computer Vision, Vol. 46, No. 1, pp. 81-96, 2002.
      BibTeX
      • @Article{jones2002statistical,
      • author = {Jones, M.J. and Rehg, J.M.},
      • title = {Statistical color models with application to skin detection},
      • journal = {International Journal of Computer Vision},
      • year = 2002,
      • volume = 46,
      • number = 1,
      • pages = {81--96},
      • publisher = {Springer}
      • }
    •  S.B. Kang and M. Jones, "Appearance-based structure from motion using linear classes of 3-d models", International Journal of Computer Vision, Vol. 49, No. 1, pp. 5-22, 2002.
      BibTeX
      • @Article{kang2002appearance,
      • author = {Kang, S.B. and Jones, M.},
      • title = {Appearance-based structure from motion using linear classes of 3-d models},
      • journal = {International Journal of Computer Vision},
      • year = 2002,
      • volume = 49,
      • number = 1,
      • pages = {5--22},
      • publisher = {Springer}
      • }
    •  C.M. Procopiuc, M. Jones, P.K. Agarwal and TM Murali, "A Monte Carlo algorithm for fast projective clustering", Proceedings of the 2002 ACM SIGMOD international conference on Management of data, 2002, pp. 418-427.
      BibTeX
      • @Inproceedings{procopiuc2002monte,
      • author = {Procopiuc, C.M. and Jones, M. and Agarwal, P.K. and Murali, TM},
      • title = {A Monte Carlo algorithm for fast projective clustering},
      • booktitle = {Proceedings of the 2002 ACM SIGMOD international conference on Management of data},
      • year = 2002,
      • pages = {418--427},
      • organization = {ACM}
      • }
    •  P. Viola and M. Jones, "Fast and robust classification using asymmetric adaboost and a detector cascade", Proc. of NIPS01, 2001.
      BibTeX
      • @Article{viola2001fast,
      • author = {Viola, P. and Jones, M.},
      • title = {Fast and robust classification using asymmetric adaboost and a detector cascade},
      • journal = {Proc. of NIPS01},
      • year = 2001
      • }
    •  M.J. Jones and J.M. Rehg, "Statistical color models with application to skin detection", Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on., 1999, vol. 1.
      BibTeX
      • @Inproceedings{jones1999statistical,
      • author = {Jones, M.J. and Rehg, J.M.},
      • title = {Statistical color models with application to skin detection},
      • booktitle = {Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.},
      • year = 1999,
      • volume = 1,
      • organization = {IEEE}
      • }
    •  T.D. Rikert, M.J. Jones and P. Viola, "A cluster-based statistical model for object detection", Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, 1999, vol. 2, pp. 1046-1053.
      BibTeX
      • @Inproceedings{rikert1999cluster,
      • author = {Rikert, T.D. and Jones, M.J. and Viola, P.},
      • title = {A cluster-based statistical model for object detection},
      • booktitle = {Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on},
      • year = 1999,
      • volume = 2,
      • pages = {1046--1053},
      • organization = {IEEE}
      • }
    •  M.J. Jones and T. Poggio, "Hierarchical morphable models", Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on, 1998, pp. 820-826.
      BibTeX
      • @Inproceedings{jones1998hierarchical,
      • author = {Jones, M.J. and Poggio, T.},
      • title = {Hierarchical morphable models},
      • booktitle = {Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on},
      • year = 1998,
      • pages = {820--826},
      • organization = {IEEE}
      • }
    •  M.J. Jones and T. Poggio, "Multidimensional morphable models: A framework for representing and matching object classes", International Journal of Computer Vision, Vol. 29, No. 2, pp. 107-131, 1998.
      BibTeX
      • @Article{jones1998multidimensional,
      • author = {Jones, M.J. and Poggio, T.},
      • title = {Multidimensional morphable models: A framework for representing and matching object classes},
      • journal = {International Journal of Computer Vision},
      • year = 1998,
      • volume = 29,
      • number = 2,
      • pages = {107--131},
      • publisher = {Springer}
      • }
    •  T.D. Rikert and M.J. Jones, "Gaze estimation using morphable models", Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on, 1998, pp. 436-441.
      BibTeX
      • @Inproceedings{rikert1998gaze,
      • author = {Rikert, T.D. and Jones, M.J.},
      • title = {Gaze estimation using morphable models},
      • booktitle = {Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on},
      • year = 1998,
      • pages = {436--441},
      • organization = {IEEE}
      • }
    •  M.J. Jones, "Multidimensional morphable models: A framework for representing and matching object classes", 1997.
      BibTeX
      • @Phdthesis{jones1997multidimensional,
      • author = {Jones, M.J.},
      • title = {Multidimensional morphable models: A framework for representing and matching object classes},
      • year = 1997,
      • publisher = {Massachusetts Institute of Technology}
      • }
    •  M.J. Jones, P. Sinha, T. Vetter and T. Poggio, "Top-down learning of low-level vision tasks", Current Biology, Vol. 7, No. 12, pp. 991-994, 1997.
      BibTeX
      • @Article{jones1997top,
      • author = {Jones, M.J. and Sinha, P. and Vetter, T. and Poggio, T.},
      • title = {Top-down learning of low-level vision tasks},
      • journal = {Current Biology},
      • year = 1997,
      • volume = 7,
      • number = 12,
      • pages = {991--994},
      • publisher = {Elsevier}
      • }
    •  T. Vetter, M.J. Jones and T. Poggio, "A bootstrapping algorithm for learning linear models of object classes", Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on, 1997, pp. 40-46.
      BibTeX
      • @Inproceedings{vetter1997bootstrapping,
      • author = {Vetter, T. and Jones, M.J. and Poggio, T.},
      • title = {A bootstrapping algorithm for learning linear models of object classes},
      • booktitle = {Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on},
      • year = 1997,
      • pages = {40--46},
      • organization = {IEEE}
      • }
    •  F. Girosi, M. Jones and T. Poggio, "Regularization theory and neural networks architectures", Neural computation, Vol. 7, No. 2, pp. 219-269, 1995.
      BibTeX
      • @Article{girosi1995regularization,
      • author = {Girosi, F. and Jones, M. and Poggio, T.},
      • title = {Regularization theory and neural networks architectures},
      • journal = {Neural computation},
      • year = 1995,
      • volume = 7,
      • number = 2,
      • pages = {219--269},
      • publisher = {MIT Press}
      • }
    •  M.J. Jones and T. Poggio, "Model-based matching of line drawings by linear combinations of prototypes", Computer Vision, 1995. Proceedings., Fifth International Conference on, 1995, pp. 531-536.
      BibTeX
      • @Inproceedings{jones1995model,
      • author = {Jones, M.J. and Poggio, T.},
      • title = {Model-based matching of line drawings by linear combinations of prototypes},
      • booktitle = {Computer Vision, 1995. Proceedings., Fifth International Conference on},
      • year = 1995,
      • pages = {531--536},
      • organization = {IEEE}
      • }
    •  F. Girosi, M. Jones and T. Poggio, "Priors stabilizers and basis functions: From regularization to radial, tensor and additive splines", MIT AI Lab Memo 1430, 1993.
      BibTeX
      • @Article{girosi1993priors,
      • author = {Girosi, F. and Jones, M. and Poggio, T.},
      • title = {Priors stabilizers and basis functions: From regularization to radial, tensor and additive splines},
      • journal = {MIT AI Lab Memo 1430},
      • year = 1993
      • }
    •  T. Poggio, F. Girosi and M. Jones, "From regularization to radial, tensor and additive splines", Neural Networks, 1993. IJCNN'93-Nagoya. Proceedings of 1993 International Joint Conference on, 1993, vol. 1, pp. 223-227.
      BibTeX
      • @Inproceedings{poggio1993regularization,
      • author = {Poggio, T. and Girosi, F. and Jones, M.},
      • title = {From regularization to radial, tensor and additive splines},
      • booktitle = {Neural Networks, 1993. IJCNN'93-Nagoya. Proceedings of 1993 International Joint Conference on},
      • year = 1993,
      • volume = 1,
      • pages = {223--227},
      • organization = {IEEE}
      • }
    •  M.J. Jones, "Using recurrent networks for dimensionality reduction", 1992, Massachusetts Institute of Technology.
      BibTeX
      • @Mastersthesis{jones1992using,
      • author = {Jones, M.J.},
      • title = {Using recurrent networks for dimensionality reduction},
      • school = {Massachusetts Institute of Technology},
      • year = 1992
      • }

  • Software Downloads

  • Videos

  • MERL Issued Patents

    • Title: "System and Method for Detecting Anomalies in Video using a Similarity Function Trained by Machine Learning"
      Inventors: Jones, Michael J.
      Patent No.: 10,824,935
      Issue Date: Nov 3, 2020
    • Title: "Method and System for Determining 3D Object Poses and Landmark Points using Surface Patches"
      Inventors: Jones, Michael J.; Marks, Tim; Papazov, Chavdar
      Patent No.: 10,515,259
      Issue Date: Dec 24, 2019
    • Title: "System and Method for Image Comparison Based on Hyperplanes Similarity"
      Inventors: Jones, Michael J.
      Patent No.: 10,452,958
      Issue Date: Oct 22, 2019
    • Title: "Method and System for Detecting Actions in Videos"
      Inventors: Jones, Michael J.; Tuzel, Oncel; Marks, Tim; Singh, Bharat
      Patent No.: 10,242,266
      Issue Date: Mar 26, 2019
    • Title: "Method and System for Detecting Actions in Videos using Contour Sequences"
      Inventors: Jones, Michael J.; Marks, Tim; Kulkarni, Kuldeep
      Patent No.: 10,210,391
      Issue Date: Feb 19, 2019
    • Title: "Method for Anomaly Detection in Time Series Data Based on Spectral Partitioning"
      Inventors: Nikovski, Daniel N.; Kniazev, Andrei; Jones, Michael J.
      Patent No.: 9,984,334
      Issue Date: May 29, 2018
    • Title: "Method for Learning Exemplars for Anomaly Detection"
      Inventors: Jones, Michael J.; Nikovski, Daniel N.
      Patent No.: 9,779,361
      Issue Date: Oct 3, 2017
    • Title: "Method for Determining Similarity of Objects Represented in Images"
      Inventors: Jones, Michael J.; Marks, Tim; Ahmed, Ejaz
      Patent No.: 9,436,895
      Issue Date: Sep 6, 2016
    • Title: "Method and System for Tracking People in Indoor Environments using a Visible Light Camera and a Low-Frame-Rate Infrared Sensor"
      Inventors: Marks, Tim; Jones, Michael J.; Kumar, Suren
      Patent No.: 9,245,196
      Issue Date: Jan 26, 2016
    • Title: "Method for Detecting and Tracking Objects in Image Sequences of Scenes Acquired by a Stationary Camera"
      Inventors: Marks, Tim; Jones, Michael J.; MV, Rohith
      Patent No.: 9,213,896
      Issue Date: Dec 15, 2015
    • Title: "Method for Detecting Anomalies in a Time Series Data with Trajectory and Stochastic Components"
      Inventors: Jones, Michael J.
      Patent No.: 9,146,800
      Issue Date: Sep 29, 2015
    • Title: "Method for Predicting Future Travel Time Using Geospatial Inference"
      Inventors: Jones, Michael J.; Nikovski, Daniel N.; Geng, Yanfeng
      Patent No.: 9,122,987
      Issue Date: Sep 1, 2015
    • Title: "Method for Detecting Anomalies in Multivariate Time Series Data"
      Inventors: Nikovski, Daniel N.; Jones, Michael J.
      Patent No.: 9,075,713
      Issue Date: Jul 7, 2015
    • Title: "Camera-Based 3D Climate Control"
      Inventors: Marks, Tim; Jones, Michael J.
      Patent No.: 8,929,592
      Issue Date: Jan 6, 2015
    • Title: "Object Detection in Depth Images"
      Inventors: Jones, Michael J.; Tuzel, C. Oncel; Si, Weiguang
      Patent No.: 8,406,470
      Issue Date: Mar 26, 2013
    • Title: "Method for identifying Faces in Images with Improved Accuracy Using Compressed Feature Vectors"
      Inventors: Thornton, Jay E.; Jones, Michael J.
      Patent No.: 8,213,691
      Issue Date: Jul 3, 2012
    • Title: "Method for Synthetically Images of Objects"
      Inventors: Jones, Michael J.; Marks, Tim; Kumar, Ritwik
      Patent No.: 8,194,072
      Issue Date: Jun 5, 2012
    • Title: "Method for Localizing Irises in Images Using Gradients and Textures"
      Inventors: Jones, Michael J.; Guo, Guo Dong
      Patent No.: 7,583,823
      Issue Date: Sep 1, 2009
    • Title: "Detecting Pedestrians Using Patterns of Motion and Appearance in Videos"
      Inventors: Jones, Michael J.; Viola, Paul A.
      Patent No.: 7,212,651
      Issue Date: May 1, 2007
    • Title: "Detecting Arbitrarily Oriented Objects in Images"
      Inventors: Viola, Paul A.; Jones, Michael J.
      Patent No.: 7,197,186
      Issue Date: Mar 27, 2007
    • Title: "Object Recognition System"
      Inventors: Viola, Paul A.; Jones, Michael J.
      Patent No.: 7,031,499
      Issue Date: Apr 18, 2006
    • Title: "System and Method for Detecting Objects in Images"
      Inventors: Viola, Paul A.; Jones, Michael J.
      Patent No.: 7,020,337
      Issue Date: Mar 28, 2006
    See All Patents for MERL