Michael Jones
MERL Research / Technical StaffSenior Principal Technical Staff
Ph.D., Massachusetts Institute of Technology, 1997
Phone: (617) 621 7587
Email:
Mike Jones joined MERL in the fall of 2001 after 4 years at the Digital/Compaq Cambridge Research Laboratory. Mike's main area of interest is computer vision, and he is particularly interested in using machine-learning approaches for solving computer vision problems. He has focused on algorithms for detecting and analyzing people in images and video such as face detection, skin detection and facial analysis using morphable models. Recent Projects include Fast Face Detection using a Cascade of Detectors.
Publications:
Jones, M.; Snow, D., "Pedestrian Detection Using Boosted Features Over Many Frames", International Conference on Pattern Recognition (ICPR), Motion, Tracking, Video Analysis, December 2008 (ICPR 2008, TR2008-027)Pelosof, R.; Jones, M.; Vovsha, I.; Rudin, C., "Online Coordinate Boosting", The Smithsonian/NASA Astrophysics Data System, ARXIV Statistics - Machine Learning, October 2008 (eprint arXiv:0810.4553, TR2008-069)
Viola, P.; Jones, M.J.; Snow, D., "Detecting Pedestrians Using Patterns of Motion and Appearance", IEEE International Conference on Computer Vision (ICCV), Vol. 2, pp. 734-741, October 2003 (IEEE Xplore, TR2003-090)
Viola, P.; Jones, M., "Rapid Object Detection Using a Boosted Cascade of Simple Features", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), ISSN: 1063-6919, Vol. 1, pp. 511-518, December 2001 (IEEE Xplore, TR2004-043)
Technical Reports: | |
| Face Recognition: Where We Are and Where To Go From Here | |
| A New Weak Learning Algorithm for Real Hyperplane Features Applied to Face Detection | |
| A System for Automatic Iris Capturing | |
| Fast Pose Estimation with Parameter-Sensitive Hashing | |
| Unsupervised Improvement of Visual Detectors Using Co-Training | |
| Fast Multi-view Face Detection | |
| Face Recognition Using Boosted Local Features | |