[ Biography | Publications | Patents | Advisement | Faculty Collaborators | Publication Awards | Demos ]

Mei Chen, Ph.D.


Associate Professor

University of Albany State University of New York

Adjunct Faculty

Robotics Institute, Carnegie Mellon University


firstnamelastname at sign albany dot edu

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News


• I am teaching a new course, INF-671/CSI-671 Computer Vision, in Spring, 2015. All course materials will be available on Blackboard
• My lab has Research Assistant positions available in the area of biomedical imaging and computer vision. Good programming skills and solid math background are required. A Master’s degree with relevant research experience is a plus. Interested parties should apply to the Information Science Ph.D. Program and drop me a line. If you would like to visit my lab by using a funded grant, please let me know.

Biography


Mei Chen is an Associate Professor in the Department of Informatics at the University of Albany State University of New York. She was the Intel Principal Investigator for the Intel Science & Technology Center on Embedded Computing that was headquartered at Carnegie Mellon University bringing together researchers from Cornell, Intel, Georgia Tech, Penn State, UC Berkeley, UIUC, and UPenn. Previously she held research and research lead positions at Intel Labs, HP Labs, and Sarnoff Corporation. Mei’s work in computer vision and biomedical imaging were nominated finalists for 5 Best Paper Awards and won 3. While at HP Labs, she successfully transferred her research in computational photography to 5 HP hardware and software products. She earned a Ph.D. in Robotics from the School of Computer Science at Carnegie Mellon University, and a M.S. and B.S. from Tsinghua University in Beijing, China.

Research Projects


Cell Image Analysis


Teaching


Fall, 2014


INF 711: Research Seminar I (1)
This course is offered every fall for all first-semester students. The course meets once a week to hear presentations by faculty about their current research. In addition, research skills are developed, such as evaluation of information science literature, how to write a literature review, how to plan and use bibliographic software, and how to do a poster session at a conference.

INF 713: Research Seminar III (1)
This course is offered every fall for all third-semester students. This course meets weekly to hear presentations by faculty about their current research. Students develop research relationships with faculty to continue their own research.
Prerequisite: INF 711, INF 712

Publications



Edited Proceedings


M. Chen, B. Leibe, B. Neumann. Computer Vision Systems – 9th International Conference, ICVS 2013, St. Petersburg, Russia, July 16-18, 2013. In Springer 2013 Lecture Notes in Computer Science, vol 7963, ISBN 978-3-642-39401-0, 2013.

Journal Papers Critically Reviewed Prior to Publication


L. Yang, N. Zheng, M. Chen, Y. Yang, J. Yang. Categorization of Multiple Objects in a Scene Using a Biased Sampling Strategy. International Journal of Computer Vision (IJCV), vol 105, issue 1, pp1-18, October 2013. Invited and peer-reviewed.

Y. Song, W. Cai, H. Huang, Y. Wang, D. Feng, M. Chen. Region-based Progressive Localization of Cell Nuclei in Microscopic Images with Data Adaptive Modeling. BMC Bioinformatics special issue on Bioimage Informatics, March, 2013.

Z. Yin, T. Kanade, M. Chen. Understanding the Phase Contrast Optics to Restore Artifact-free Microscopy Images for Segmentation. Medical Image Analysis (MIA), 16(5):1047-1062, 2012. Invited and peer-reviewed.

Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. M. Rehg. Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid and Local Binary Patterns in Texture and Shape Encoding. Medical Image Analysis (MIA),15(5): 748-759, 2011. Invited and peer-reviewed.

Y. Liu, H. Ishikawa, M. Chen, G. Wollstein, J. Duker, J. Fujimoto, J. Schuman, J. Rehg. Computerized Macular Pathology Diagnosis in Spectral Domain Optical Coherence Tomography Scans Based on Multi-Scale Texture and Shape Features. Investigative Ophthalmology and Visual Science (IOVS), October 2011, vol. 52, no. 11.

S. Huh, E. Ker, R. Bise, M. Chen, and T. Kanade. Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images. IEEE Transactions on Medical Imaging (TMI), vol 30, no.3, March, 2011.

[show more journal publications]

Papers in Conference Proceedings Critically Reviewed Prior to Publication


ICCV, CVPR, MICCAI, ACCV, ISBI are top computer vision/biomedical imaging conferences with an overall acceptance rate of 25%.

Y. Song, W. Cai, D. Feng, M. Chen. Medical Image Classification with Convolutional Neural Network, 13th International Conference on Control, Automation, Robotics, and Vision, December, 2014.

A. Tareef, Y. Song, W. Cai, D. Feng, M. Chen. Automated Three-Stage Nucleus and Cytoplasm Segmentation of Overlapping Cells, 13th International Conference on Control, Automation, Robotics, and Vision, December, 2014.

R. Tamburo, E. Nurvitadhi, M. Chen, A. Rowe, T. Kanade, S. Narasimhan. Programmable Automotive Headlights, European Conference on Computer Vision (ECCV), September, 2014.

Y. Song, W. Cai, D. Feng, M. Chen. Large Margin Aggregation of Local Estimates for Medical Image Classification, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September, 2014.

I. Baek, D. Dash, Y. Sheikh, M. Chen, F. Xiao, Y. Movshovitz-Attias, M. Hebert. Physical Querying with Multi-Modal Sensing. IEEE Winter Conference on Applications of Computer Vision (WACV), March, 2014.

R. Tamburo, S. Narasimhan, A. Rowe, T. Kanade, E. Nurvitadhi, M. Chen. DMDs for smart headlights. Proc. SPIE 8979, Emerging Digital Micromirror Device Based Systems and Applications VI, 89790F, March, 2014. Invited and peer-reviewed.

Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. Rehg. Longitudinal Modeling of Glaucoma Progression Using 2-D Continuous-Time Hidden Markov Model. In proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September, 2013.

S. Huh, M. Chen, T. Kanade. Restoration of Phase Contrast Microscopy for an Application on Automated Muscle Myotube Detection. In proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September, 2013.

Y. Song, W. Cai, S. Huh, M. Chen, T. Kanade, Y. Zhou, D. Feng. Discriminative Data Transform for Image Feature Extraction and Classification. In proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September, 2013.

Y. Song, W. Cai, D. Feng, M. Chen. Cell Nuclei Segmentation in Fluorescence Microscopy Images Using Inter- and Intra-Region Discriminative Information. In proceedings of the 35th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), July, 2013.

C. Zhang, G. Ko, J. Choi, S. Tsai, M. Kim, A. Rivera, R. Rutenbar, P. Smaragdis, M. Park, V. Narayanan, H. Xin, O. Mutlu, B. Li, L. Zhao, M. Chen, R. Iyer. EMERALD: Emerging Applications for Low power Devices. In proceedings of IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2013.

Y. Liu, H. Ishikawa, M. Chen, G. Wollstein, J. Schuman, and J. M. Rehg. Automated Foveola Localization in Retinal 3D-OCT Images Using Structural Support Vector Machine Prediction. In proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2012.

Z. Yin, E. Ker, S. Junkers, T. Kanade, M. Chen, L. Weiss, P. Campbell. Data-driven Prediction on Stem Cell Culture Process. IEEE Engineering in Medicine and Biology Conference, August, 2011.

S. Huh, M. Chen. Automated Mitosis Detection of Stem Cell Populations with High Confluency in Phase-Contrast Microscopy Images. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2011.

Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. M. Rehg. Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid with Local Binary Patterns. In Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September, 2010. Finalist for Best Paper Award.

Z. Yin, K. Li, T. Kanade, M. Chen. Understanding the Optics to Aid Microscopy Image Segmentation. In Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September, 2010. Finalist for Best Paper Award.

[show more conference publications]

Papers in Workshop Proceedings Critically Reviewed Prior to Publication


H. Park, Y. Wang, E. Nurvitadhi, J. C. Hoe, Y. Sheikh, M. Chen. 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming. Workshop on Visual Analysis and Geo-Localization of Large Scale Imagery. In proceedings of IEEE International Conference on Computer Vision and Patter Recognition (CVPR), June, 2013.

T. Kanade, Z. Yin, R. Bise, S. Huh, S. Eom, M. Sandbothe, M. Chen. Cell Image Analysis: Algorithms, System and Applications. In Proceedings of IEEE Workshop on Applications of Computer Vision (WACV), January, 2011.

S. Amizadeh, M. Chen, D. Dash, M. Hauskrecht, W. Schneider. Low-dimensional Embedding of large-scale Infinite-dimensional Function Spaces with Application to Human Brain Connectome. Workshop on Low-rank Methods for Large Scale Machine Learning. In proceedings of the 24th annual conference on Neural Information Processing Systems(NIPS), December, 2010.

[show more workshop publications]

Refereed Abstracts


Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. M. Rehg. Automated Foveola Localization in Three Dimensional (3D) Optical Coherence Tomography (OCT) Images with Various Macular Pathologies, Association for Research in Vision and Ophthalmology Annual Meeting (ARVO’12), May, 2012.

[show more referred abstracts]

Select Technical Reports


Q. Lin, T. Zhang, M. Chen, Y. Deng, B. Atkins. Video Analysis for Browsing and Printing. Technical Report HPL-2008-215. Hewlett Packard Laboratories, 2008.

Q. Lin, T. Zhang, M. Chen, Y. Deng, P. Obrador. Mining Home Video for Photos. Technical Report HPL-2004-80. Hewlett Packard Laboratories, 2004.

M. Chen, P. Obrador. System For Face Detection Guided Video Frame Enhancement. HP defensive publication, 2003.

[show more technical reports]

Issued U.S. Patents


H. Ishikawa, G. Wollstein, J. Schuman, Y. Liu, J. Rehg, M. Chen. Automated macular pathology diagnosis in three-dimensional (3D) spectral domain optical coherence tomography (SD-OCT) images, US 2012/0184845.

M. Chen. Enhancing image resolution, US 8,036,494.

M. Chen. Color registration in a digital video, US 7,924,922.

M. Chen. Image processing apparatus and associated method, US 7,783,699.

M. Chen. Image registration based on concentric image partitions, US2007/0280555.

M. Chen. Method and system for estimating displacement in a pair of images, US 2005/0084135.

[show more issued patents]

Advisement



Doctoral


• Seung-il Huh (May 2010 - 2013) Carnegie Mellon University, Robotics Institute. Now at Google.
• Yu-Ying Liu (May 2009 - 2013) 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. Now at China Mobile Research Center.
• Howard Zhou (March 2007 - September 2010) Georgia Institute of Technology, Computer Science. Now at Google.
• Jiyan Pan (May 2009 - June 2010) Carnegie Mellon University, Robotics Institute. Now at Google.
• Shulin Yang (June 2009 - June 2010) University of Washington, Computer Science and Engineering. Now at Walmart Labs.
• Anan Liu (June 2009 - December 2009) Chinese Academy of Sciences.
• Suzanna Ricco (June 2008 - September 2009) Duke University, Computer Science. Now at Google.
• Kang Li (September 2006 - July 2009) Carnegie Mellon University, Electrical and Computer Engineering. Now at Microsoft.
• Wen Wu (June 2008 - December 2008) Carnegie Mellon University, Computer Science. Now at Siemens Corporate Research.

[show more doctoral advisement]

Master's


• Fanyi Xiao (September 2012 - December 2013) Carnegie Mellon University, Robotics Institute.
• Iljoo Baek (June 2013 - December 2013) Carnegie Mellon University, Robotics Institute.
• Vivek T. U. (June 2013 - December 2013) Carnegie Mellon University, Robotics Institute.
• Qifan Hu (June 2012 - December 2012) Carnegie Mellon University, Robotics Institute. Now at Amazon.
• Kapil Dev Dhingra (June 2008 - December 2008) Columbia University, Computer Science. Now at Qualcomm.
• Sahra Girshirk (June 2005 - December 2005) University of San Francisco, Cinema.
• Nirmalya Ray (June 2001 - December 2001) Purdue University, Electrical Engineering. Now at HP.

Undergraduate


Carnegie Mellon University: Apaorn Suveepattananont, Kyri Baker, Ben Poole, Soojin Jeong, Peter Liang, Anlu Wang, Max Salley, David Zhang, Stephen Kang, Sureka Murali, Michael Sandbothe

Research Fellow / Research Engineer


• Zhaozheng Yin (June 2009 - December 2011) Carnegie Mellon University, Robotics Institute . Now at Missouri University of Science and Technology.
• Robert Tamburo (May 2010 - July 2011) Intel Labs Pittsburgh. Now at Carnegie Mellon.
• Silvina Junkers (December 2010 - December 2012) Carnegie Mellon University, Robotics Institute.
• Phillip Barnes (September 2010 - April 2011) Intel Corporation.
• Casey Helfrich (2009 - 2010) Intel Labs Pittsburgh. Now at University of Pittsburgh Medical Center.
• Richard Gass (2007 - 2009) Intel Labs Pittsburgh. Co-founder and CTO of InsightSplash.
• Adam Goode, (2006 – 2008), Carnegie Mellon University. Now at Google.

Faculty Collaborators



• Takeo Kanade, Carnegie Mellon University.
• James M. Rehg, Georgia Institute of Technology.
• Srinivas Narasimhan, Carnegie Mellon University.
• Martial Hebert, Carnegie Mellon University.
• Yaser Sheikh, Carnegie Mellon University.
• James Hoe, Carnegie Mellon University.
• Anthony Rowe, Carnegie Mellon University.

[show more faculty collaborators]

Publication Awards



Finalist for Best Paper Award, with Y. Liu, H. Ishikawa, G. Wollstein, J. Schuman, and J. M. Rehg. 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’10), Beijing China, 2010.

Finalist for Best Paper Award, with Z. Yin, R. Bise, and T. Kanade. 13th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’10), Beijing, China, 2010.

Best Paper Award, with L. Yang, N. Zheng, Y. Yang, and J. Yang. 9th Asian Conference on Computer Vision (ACCV’09), Xi’an, China, 2009.

Best Paper Award, with K. Li and T. Kanade.10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI’07), Brisbane, Australia, 2007.

Best Paper Award, with T. Kanade, D. Pomerleau, and H. A. Rowley. NASA/Goddard Image Registration Workshop (IRW), Greenbelt, Maryland, 1997.

Major Demos


Intel Developer Forum and Research@Intel are highly selective showcases for external audience including the media, investors, and developers

Intel Developer Forum

Beijing, China:
2013, Poster Chats: Fine-Grained Localization and Dynamic Context-Understanding
2012, Technical Session Talk: Harness Big Data in the Era of Internet of Things
2009, 2007, Technical Showcase: Interactive Search Assisted Decision Support for Skin Cancer Detection

San Francisco, CA:
2011, Technical Session Talk: Transform Embedded Computing through Collaboration
2010, Technical Showcase: Computer Vision Tracking of Stemness
2008, Technical Showcase: Interactive Search Assisted Decision Support for Skin Cancer Detection

Research@Intel

2012: Demo on Smart Vehicle Headlight towards Seeing through the Rain
2009: Demo on Computer Vision Tracking of Stemness
2008, 2007: Demo on Interactive Search Assisted Decision Support for Skin Cancer Detection

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[ Biography | Publications | Patents | Advisement | Faculty Collaborators | Paper Awards | Demos ]