|
Mei Chen
mei dot chen at intel dot com
4720 Forbes Ave. Suite 410
Pittsburgh, PA 15213
(412) 297-4100
(412) 297-4110 (fax)
|
Biography
Dr. Mei Chen is the Principal Investigator for the Intel Science and Technology Center in Embedded Computing (ISTC-EC). She is responsible for providing leadership for the Intel ISTC-EC researchers and working with the academic PI on leading and managing the ISTC-EC.
She was a lead researcher at Intel Labs Pittsburgh from 2006-2011, spearheading the computational health program. She has an extensive track record of high-impact research in computer vision, machine learning, robotics and other fields. She has five award winning papers at top-tier international conferences, and holds fifteen granted U.S. patents.
While working at HP Labs Palo Alto from 2001-2006, she successfully transferred her research in computational photography onto five HP product series (including HP Photosmart printers, HP All-in-One devices, HP Real Life Technologies, and HP Photosmart digital cameras).
She earned her Ph.D. from the Robotics Institute in the School of Computer Science at Carnegie Mellon University, and a M.S. and B.S. from Tsinghua University in Beijing, China.
Recent Publications
Journals
Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid and Local Binary Patterns in Texture and Shape Encoding. Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. M. Rehg. Medical Image Analysis. In press (2011.06.05).
Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multi-Scale Texture and Shape Features. Y. Liu, H. Ishikawa, M. Chen, G. Wollstein, J. Duker, J. Fujimoto, J. Schuman, J. Rehg. Investigative Ophthalmology and Visual Science. In press.
Multi-Object Categorization within the Bag-of-Features Framework. L. Yang, N. Zheng, M. Chen, Y. Yang, J. Yang. International Journal of Computer Vision. In press.
Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images. S. Huh, E. Ker, R. Bise, M. Chen, T. Kanade. IEEE Transactions on Medical Imaging, vol 30, no 3, March, 2011.
Cell Population Tracking and Lineage Construction with Spatiotemporal Context. K. Li, M. Chen, T. Kanade. Medical Image Analysis, 12(5):544-566, 2008.
Anomaly Detection through Registration. M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. Pattern Recognition, vol 32, pp 113-128, 1999.
[show more journal publications]
Conferences and Workshops
Invited Papers
Computer Vision Tracking of Stemness. K. Li, E. Miller, M. Chen, T. Kanade, L. E. Weiss, P. G. Campbell. In Proceedings of IEEE International Symposium on Biomedical Imaging: Special Session on In Vivo Microscopic Image Analysis, May, 2008.
Interactive search of adipocytes in large collections of digital cellular images. A. Goode, M. Chen, A. Tarachandani, L. Mummert, R. Sukthankar, C. Helfrich, A. Stefanni, L. Fix, J. Saltzman, M. Satyanarayanan. In Proceedings of IEEE International Conference on Multimedia and Expo, July, 2007.
Refereed Conference Publications
ICCV, CVPR, MICCAI are the top computer vision/biomedical imaging conferences with an overall acceptance rate of around 25%. The selection of papers for oral presentation is merit-based with an acceptance rate of 4-5%. No distinction is made in the proceedings between oral and poster presentations.
Data-driven Prediction on Stem Cell Culture Process. Z. Yin, E. Ker, S. Junkers, T. Kanade, M. Chen, L. Weiss, P. Campbell. IEEE Engineering in Medicine and Biology Conference, August, 2011.
Automated Mitosis Detection of Stem Cell Populations with High Confluency in Phase-Contrast Microscopy Images. S. Huh, M. Chen. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2011.
Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns. Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. M. Rehg. In Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September, 2010. Finalist for Best Paper Award.
Understanding the Optics to Aid Microscopy Image Segmentation. Z. Yin, K. Li, T. Kanade, M. Chen. In Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September, 2010. Finalist for Best Paper Award.
Heterogeneous Conditional Random Field: Realizing Joint Detection and Segmentation of Cell Regions in Microscopic Images. J. Pan, T. Kanade, M. Chen. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2010.
Food Recognition Using Statistics of Local Pairwise Features. S. Yang, M. Chen, D. Pomerleau, R. Sukthankar. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2010.
Examplar-based Segmentation of Pigmented Skin Lesions from Dermoscopy Images. H. Zhou, M. Chen, J. M. Rehg. In Proceedings of IEEE Intl. Symposium on Biomedical Imaging (ISBI), April, 2010.
Cell Segmentation in Microscopy Imagery using a Bag of Local Bayesian Classifiers. Z. Yin, R. Bise, M. Chen, T. Kanade. In Proceedings of IEEE Intl. Symposium on Biomedical Imaging (ISBI), April, 2010.
PFID: Pittsburgh Fast-Food Image Dataset. M. Chen, K. Dhingra, W. Wu, L. Yang, R. Sukthankar, J. Yang. In Proceedings of IEEE International Conference on Image Processing, November, 2009.
Categorization of multiple objects in a scene without semantic segmentation. Lei Yang, Naning Zheng, Mei Chen, Yang Yang, Jie Yang. In Proceedings of Asian Conference Computer Vision, 2009. Best Paper Award Winner.
A Biased Sampling Strategy for Object Categorization. Lei Yang, Nanning Zheng, Jie Yang, Mei Chen, Hong Cheng. In Proceedings of IEEE International Conference on Computer Vision (ICCV), September, 2009.
Correcting motion artifacts in retinal spectral domain optical coherence tomography. S. Ricco, M. Chen, H. Ishikawa, G. Wollstein, and J. Schuman. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK, September 2009.
Classification of scan location in retinal optical coherence tomography. S. Ricco, M. Chen. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), June, 2009.
Dermoscopic Interest Point Detector and Descriptor. H. Zhou, M. Chen, J. M. Rehg. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), July, 2009.
Spatially Constrainted Segmentation of Dermoscopy Images. H. Zhou, M. Chen, L. Zou, R. Gass, L. Ferris, L. Drogowski, J. M. Rehg. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), May, 2008.
Local quality assessment for optical coherence tomography. P. Barnum, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), May, 2008.
Distributed Online Anomaly Detection in High-Content Screening. A. Goode, R. Sukthankar, L. Mummert, M. Chen, J. Saltzman, D. Ross, S. Szymanski, A. Tarachandani, and M. Satyanarayanan. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), May, 2008.
Feature Preserving Artifact Removal from Dermoscopy Images. H. Zhou, M. Chen, R. Gass, J. M. Rehg, L. Ferris, J. Ho, L. Drogowski. In Proceedings of Medical Imaging, February, 2008.
Cell Population Tracking and Lineage Construction with Spatio-Temporal Context. K. Li, M. Chen, T. Kanade. In Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October, 2007. Best Paper Award Winner.
Learning Distance Metrics for Interactive Search-Assisted Diagnosis of Mammograms. L. Yang, R. Jin, R. Sukthankar, B. Zheng, L. Mummert, M. Satyanarayanan, M. Chen, D. Jukic. In Proceedings of Medical Imaging, February, 2007.
Imaging Technology that Overcomes Sensor Limits. M. Chen, Q. Lin. In Proceedings of HP TechCon, April, 2006. [oral, 40/1100+ acceptance ratio]
Video Motion Mining for Creative Rendering. M. Chen. In Proceedings of International Conference on Computational Intelligence, August, 2005.
Digital Restoration of Classic Movies. M. Chen, Q. Lin, A. Silverstein, Y. Deng, J. Fan. In Proceedings of HP TechCon, March, 2005. [oral, 40/1100+ acceptance ratio]
Video Analysis for Browsing and Printing. M. Chen, Q. Lin, T. Zhang, Y. Deng. In Proceedings of HP TechCon, March, 2005. [poster, 90/1100+ acceptance ratio]
More Is Better: Multi-Image Enrichment. M. Chen. In Proceedings of HP Imaging and Color Symposium, November, 2004. [oral, 30/650+ acceptance ratio]
Dynamic Content Adaptive Super-Resolution. M. Chen. In Proceedings of IEEE International Conference on Image Analysis and Recognition, September, 2004.
Video Frame Enhancement for Printing. M. Chen. In Proceedings of HP Color Imaging Symposium, October, 2002. [oral, 30/700+ acceptance ratio]
Characterization and Application of a Statistical Brain Model. M. Chen, T. Kanade, D. Pomerleau. In Proceedings of International Conference on Signal Processing and Communications, September, 2000.
3-D Deformable Registration of Medical Images Using a Statistical Atlas. M. Chen, T. Kanade, D. Pomerleau, J. Schneider. In Proceedings of International Conference on Medical Image computing and Computer-Assisted Intervention (MICCAI), September 1999.
Anomaly Detection through Registration. M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 1998.
AURORA: Vision-Based Vehicle Roadway Departure Warning System. M. Chen, T. Jochem, D. Pomerleau. In Proceedings of IEEE International Conference on Intelligent Robots and Systems, July, 1995.
[show more conference publications]
Refereed Workshop Publications
Cell Image Analysis: Algorithms, System and Applications. T. Kanade, Z. Yin, R. Bise, S. Huh, S. Eom, M. Sandbothe, M. Chen. In Proceedings of IEEE Workshop on Applications of Computer Vision (WACV), January, 2011.
Low-dimensional Embedding of large-scale Infinite-dimensional Function Spaces with Application to Human Brain Connectome. S. Amizadeh, M. Chen, D. Dash, M. Hauskrecht, W. Schneider. In Proceedings of NIPS Workshop on Low-rank Methods for Large Scale Machine Learning, in conjunction with the 24th annual conference on Neural Information Processing Systems (NIPS), December, 2010.
Learning to Detect Different Types of Cells under Phase Contrast Microscopy. J. Pan, T. Kanade, M. Chen. In Proceedings of the Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB), September 2009.
Feature-based Part Retrieval for Interactive 3D Reassembly. D. Parikh, R. Sukthankar, T. Chen, M. Chen. In Proceedings of IEEE Workshop on Applications of Computer Vision (WACV), February, 2007.
Bootstrap a Statistical Brain Atlas. M. Chen, T. Kanade, D. Pomerleau. In Proceedings of IEEE Computer Society Workshop on the Application of Computer Vision (WACV), December, 2000.
Medical Image - Atlas Registration Using Deformable Models for Anomaly Detection. M. Chen, T. Kanade, D. Pomerleau. In Proceedings of the DARPA Image Understanding Workshop, November, 1998.
Quantitative Study of Brain Anatomy. M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. In Proceedings of IEEE Workshop on Biomedical Image Analysis, 1998.
Anomaly Detection through Registration. M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. In Proceedings of NASA/Goddard Image Registration Workshop, November, 1997. Best Paper Award Winner.
[show more workshop publications]
Refereed Abstracts
Automated Macular Pathology Diagnosis in SD-OCT Scans Based on Multi-Scale Texture and Shape Features within a Pathology-Specific Spatial Mask. Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. M. Rehg. Association of Research in Vision and Ophthalmology Annual Meeting (ARVO), May, 2011.
Automated Macular Pathology Diagnosis in Three Dimensional (3D) Spectral Domain Optical Coherence Tomography (SD-OCT) Images. Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. M. Rehg. Association of Research in Vision and Ophthalmology Annual Meeting (ARVO), May, 2010.
Automatic Correction of Motion Artifacts in 3D Retinal Spectral Domain Optical Coherence Tomography. S. Ricco, M. Chen, H. Ishikawa, G. Wollstein, J. Xu, J. Schuman. Association for Research in Vision and Ophthalmology Annual Meeting (ARVO), May, 2009.
Pathology Insensitive Quality Assessment for Optical Coherence Tomography. P. Barnum, M. Chen, H. Ishikawa, G. Wollstein, and J. Schuman. Association for Research in Vision and Ophthalmology Annual Meeting (ARVO), April, 2008.
[show more abstracts]
Technical Reports
Video Analysis for Browsing and Printing. Technical Report HPL-2008-215. Q. Lin, T. Zhang, M. Chen, Y. Deng, B. Atkins. Hewlett Packard Laboratories, 2008.
Mining Home Video for Photos. Technical Report HPL-2004-80. Q. Lin, T. Zhang, M. Chen, Y. Deng, P. Obrador. Hewlett Packard Laboratories, 2004.
System For Face Detection Guided Video Frame Enhancement. M. Chen, P. Obrador. HP defensive publication, 2003.
On-Demand Interactive And Automatic Shared Video Enhancement Over A Network. M. Chen, U. Gargi. HP defensive publication, 2003.
3-D Deformable Registration Using a Statistical Atlas with Applications in Medicine. M. Chen. Ph.D thesis. Technical report CMU-RI-TR-99-20, Robotics Institute, Carnegie Mellon University, 1999.
Probabilistic Registration of 3-D Medical Images. M. Chen, T. Kanade, D. Pomerleau, J. Schneider. Technical report CMU-RI-TR-99-16, Robotics Institute, Carnegie Mellon University, 1999.
3-D Deformable Registration of Medical Images Using a Statistical Atlas. M. Chen, T. Kanade, D. Pomerleau, J. Schneider. Technical report CMU-RI-TR-98-35, Robotics Institute, Carnegie Mellon University, 1998.
Quantitative Study of Brain Anatomy. M. Chen, T. Kanade, H. Rowley, D. Pomerleau. Technical Report, CMU-RI-TR-98-05, Robotics Institute, Carnegie Mellon University, 1998.
Anomaly Detection through Registration. M. Chen, T. Kanade, H. Rowley, D. Pomerleau. Technical Report CMU-RI-TR-97-41, Robotics Institute, Carnegie Mellon University, 1997.
AURORA: A Vision-Based Roadway Departure Warning System. M. Chen, T. Jochem, D. Pomerleau. Technical Report CMU-RI-TR-97-21, Robotics Institute, Carnegie Mellon University, 1997.
Knowledge-Based Deformable Matching for Pathology Detection. M. Chen. Technical Report CMU-RI-97-20, Robotics Institute, Carnegie Mellon University, 1997.
Design of a Day/Night Lunar Rover. P. Berkelman, M. Chen, J. Easudes, J. Hancock, M. Martin, A. Mor, E. Rollins, A. Sharf, J. Silberman, T. Warren, D. Bapna. Technical Report CMU-RI-TR-95-24, Robotics Institute, Carnegie Mellon University, 1995.
Hidden Markov Model Approach to Skill Learning and Its Application to Telerobotics. J. Yang, Y. Xu, M. Chen. Technical report CMU-RI-TR-93-01, Robotics Institute, Carnegie Mellon University, 1993.
Edge Detection Algorithm in the Analysis of Cluttered Scenes and Its Application in Rockbeds Image Processing. M. Chen and Z. Bian. Technical Report 93-19, Tsinghua University, Beijing, China, May, 1993.
Telecommunication between Workstation and Machine Center in CIMS. M. Chen and Y. Sui. Technical Report 91-861, Tsinghua University, Beijing, China, May, 1991.
[show more technical reports]
Paper Awards
Two Best Paper Award Finalists, 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2010
Best Paper Award, 9th Asian Conference on Computer Vision (ACCV), 2009
Best Paper Award, 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2007
Best Paper Award, NASA/Goddard Image Registration Workshop, 1997
Issued U.S. Patents
System and method for producing a page using frames of a video stream. M. Chen (7,760,956)
Image Processing System and Method. M. Chen (7,730,406)
Three dimensional image processing apparatus and X-ray diagnosis apparatus. M. Chen (7,660,383)
Combining Multiple Exposure Images to Increase Dynamic Range. M. Chen (7,623,683)
Providing Optimized Digital Images. M. Chen (7,595,823)
Stabilizing a Sequence of Image Frames. M. Chen (7,433,497)
Computing Dissimilarity Measures. M. Chen (7,388,987)
Motion Estimation for Compression of Calibrated Multi-View Image Sequences. M. Chen (7,286,689)
Method for Image Stabilization by Adaptive Filtering. M. Chen, (7,254,279)
Image Transmission for low bandwidth with region of interest. A. Silverstein and M. Chen (6,882,755)
[show more U.S. patents]
Faculty Collaborators
• Takeo Kanade, Carnegie Mellon University
• Phil Campbell, Carnegie Mellon University
• Lee Weiss, Carnegie Mellon University
• George Stetten, Carnegie Mellon University
• M. Satyanarayanan, Carnegie Mellon University
• Jie Yang, Carnegie Mellon University (now National Science Foundation)
• Tsuhan Chen, Carnegie Mellon University (now Cornell University)
• James M. Rehg, Georgia Institute of Technology
• Carlo Tomasi, Duke University
• Joel Schuman, University of Pittsburgh
• Hiroshi Ishikawa, University of Pittsburgh
• Gadi Wollstein, University of Pittsburgh
• Laura Ferris, University of Pittsburgh
• Jonhan Ho, University of Pittsburgh
• Drazen Jukic, University of Pittsburgh (now VA Hospital, Tampa, FL)
• Walt Schneider, University of Pittsburgh
• Mingui Sun, University of Pittsburgh
• Milos Hauskrecht, University of Pittsburgh
• Bin Zheng, University of Pittsburgh
[show more faculty collaborators]
Advisement
Doctoral
• Seung-il Huh (May 2010 - Present) Carnegie Mellon University, Robotics Institute
• Yu-Ying Liu (May 2009 - Present) Georgia Institute of Technology, Computer Science
• Saeed Amazideh (June 2010 - January 2011) University of Pittsburgh, Intelligent Systems Program
• Lei Yang (March 2008 - December 2010) Xianjiaotong University, Computer Science
• Howard Zhou (March 2007 - September 2010) Georgia Institute of Technology, Computer Science
• Jiyan Pan (May 2009 - June 2010) Carnegie Mellon University, Robotics Institute
• Shulin Yang (June 2009 - June 2010) University of Washington, Computer Science and Engineering
• Anan Liu (June 2009 - December 2009) Carnegie Mellon University, Robotics Institute
• Suzanna Ricco (June 2008 - September 2009) Duke University, Computer Science
• Kang Li (September 2006 - July 2009) Carnegie Mellon University, Electrical and Computer Engineering
• Wen Wu (June 2008 - December 2008) Carnegie Mellon University, Computer Science
• Aaron Cois (September 2006 - July 2008) University of Pittsburgh, Bioengineering
• Peter Barnum (June 2007 - May 2008) Carnegie Mellon University, Robotics Institute
• Devi Parikh (July 2006 - May 2007) Carnegie Mellon University, Electrical and Computer Engineering
• Xiaojun Feng (June 2004 - August 2004) Purdue University, Electrical Engineering
• Eric Setton (June 2002 - August 2002) Stanford University, Computer Science
[show more advisement]
Master's
• Kapil Dev Dhingra (June 2008 - December 2008) Columbia University, Computer Science
• Sahra Girshirk (June 2005 - December 2005) University of San Francisco, Cinema
• Nirmalya Ray (June 2001 - December 2001) Purdue University, Electrical Engineering
Undergraduate
Carnegie Mellon University: Kyri Baker, Ben Poole, Soojin Jeong, Peter Liang, Anlu Wang, Max Salley, David Zhang, Stephen Kang, Sureka Murali, Michael Sandbothe
Research Fellow / Research Engineer Supervision
• Zhaozheng Yin (June 2009 - Present) Carnegie Mellon University, Robotics Institute
• Robert Tamburo (May 2010 - July 2011) Intel Labs Pittsburgh
• Phillip Barnes (September 2010 - April 2011) Intel Corporation, Embedded Communications Group
• Silvina Junkers (December 2010 - Present) Carnegie Mellon University, Robotics Institute
• Casey Helfrich (2009 - 2010) Intel Labs Pittsburgh
• Richard Gass (2007 - 2009) Intel Labs Pittsburgh
Major Demo Participations and Related Press
• Intel Developer Forum, Beijing, China, 2007 and 2009
• Intel Developer Forum, San Francisco, CA, 2008, 2010
• Research at Intel Day: 2007, 2008, 2009
• http://www.extremetech.com
• http://blogs.intel.com
• http://www.youtube.com/watch?v=qiddz-6vAI0
• http://connectedsocialmedia.com
[back to top]
