[ 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 DBLP Google Scholar

News

• I am teaching a new course, INF-671/CSI-671 Pixels to Information: Computer Vision and Applications, 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

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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

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Cell Image Analysis

Teaching

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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

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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.

D. F. E. Ker, L. E. Weiss, S. N. Junkers, M. Chen, Z. Yin, M. F. Sandboth, S. Huh, S. Eom, R. Bise, E. Osuna-Highley, T. Kanade, and P. G. Campbell. Automating the Decision Process for Real-Time Adaptive Subculture of Stem Cells. PLoS ONE, vol. 6, no. 11, November, 2011.

K. Li, E. Miller, M. Chen, T. Kanade, L. Weiss, P. Campbell. Cell Population Tracking and Lineage Construction with Spatiotemporal Context. Medical Image Analysis (MIA), 12(5):544-566, 2008. Invited and peer-reviewed.

M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. Anomaly Detection through Registration. Pattern Recognition, vol 32, pp 113-128, 1999.

[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.

J. Pan, T. Kanade, M. Chen. Heterogeneous Conditional Random Field: Realizing Joint Detection and Segmentation of Cell Regions in Microscopic Images. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2010.

S. Yang, M. Chen, D. Pomerleau, R. Sukthankar. Food Recognition Using Statistics of Local Pairwise Features. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2010.

H. Zhou, M. Chen, J. M. Rehg. Examplar-based Segmentation of Pigmented Skin Lesions from Dermoscopy Images. In Proceedings of IEEE Intl. Symposium on Biomedical Imaging (ISBI), April, 2010.

Z. Yin, R. Bise, M. Chen, T. Kanade. Cell Segmentation in Microscopy Imagery using a Bag of Local Bayesian Classifiers. In Proceedings of IEEE Intl. Symposium on Biomedical Imaging (ISBI), April, 2010.

M. Chen, K. Dhingra, W. Wu, L. Yang, R. Sukthankar, J. Yang. PFID: Pittsburgh Fast-Food Image Dataset. In Proceedings of IEEE International Conference on Image Processing, November, 2009.

Lei Yang, Naning Zheng, Mei Chen, Yang Yang, Jie Yang. Categorization of multiple objects in a scene without semantic segmentation. In Proceedings of Asian Conference Computer Vision, 2009. Best Paper Award Winner.

Lei Yang, Nanning Zheng, Jie Yang, Mei Chen, Hong Cheng. A Biased Sampling Strategy for Object Categorization. In Proceedings of IEEE International Conference on Computer Vision (ICCV), September, 2009.

S. Ricco, M. Chen, H. Ishikawa, G. Wollstein, and J. Schuman. Correcting motion artifacts in retinal spectral domain optical coherence tomography. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK, September 2009.

S. Ricco, M. Chen. Classification of scan location in retinal optical coherence tomography. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), June, 2009.

H. Zhou, M. Chen, J. M. Rehg. Dermoscopic Interest Point Detector and Descriptor. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), July, 2009.

K. Li, E. Miller, M. Chen, T. Kanade, L. E. Weiss, P. G. Campbell. Computer Vision Tracking of Stemness. In Proceedings of IEEE International Symposium on Biomedical Imaging: Special Session on In Vivo Microscopic Image Analysis, May, 2008. Invited and peer-reviewed

H. Zhou, M. Chen, L. Zou, R. Gass, L. Ferris, L. Drogowski, J. M. Rehg. Spatially Constrainted Segmentation of Dermoscopy Images. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), May, 2008.

P. Barnum, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman. Local quality assessment for optical coherence tomography. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), May, 2008.

A. Goode, R. Sukthankar, L. Mummert, M. Chen, J. Saltzman, D. Ross, S. Szymanski, A. Tarachandani, and M. Satyanarayanan. Distributed Online Anomaly Detection in High-Content Screening. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), May, 2008.

H. Zhou, M. Chen, R. Gass, J. M. Rehg, L. Ferris, J. Ho, L. Drogowski. Feature Preserving Artifact Removal from Dermoscopy Images. In Proceedings of Medical Imaging, February, 2008.

M. Chen, S. Lim, Q. Lin. Multi-image Processing Technologies for Image Enhancement. In Proceedings of the 6th International Conference on Imaging Science and Hardcopy (ICISH), January, 2008.

K. Li, M. Chen, T. Kanade. Cell Population Tracking and Lineage Construction with Spatio-Temporal Context. In Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October, 2007. Best Paper Award Winner.

A. Goode, M. Chen, A. Tarachandani, L. Mummert, R. Sukthankar, C. Helfrich, A. Stefanni, L. Fix, J. Saltzman, M. Satyanarayanan. Interactive search of adipocytes in large collections of digital cellular images. In Proceedings of IEEE International Conference on Multimedia and Expo, July, 2007. Invited and peer-reviewed

L. Yang, R. Jin, R. Sukthankar, B. Zheng, L. Mummert, M. Satyanarayanan, M. Chen, D. Jukic. Learning Distance Metrics for Interactive Search-Assisted Diagnosis of Mammograms. In Proceedings of Medical Imaging, February, 2007.

M. Chen, Q. Lin. Imaging Technology that Overcomes Sensor Limits. In Proceedings of HP TechCon, April, 2006. [oral, 40/1100+ acceptance ratio]

M. Chen. Video Motion Mining for Creative Rendering. In Proceedings of International Conference on Computational Intelligence, August, 2005.

M. Chen, Q. Lin, A. Silverstein, Y. Deng, J. Fan. Digital Restoration of Classic Movies. In Proceedings of HP TechCon, March, 2005. [oral, 40/1100+ acceptance ratio]

M. Chen, Q. Lin, T. Zhang, Y. Deng. Video Analysis for browsing and printing. In Proceedings of HP TechCon, March, 2005. [poster, 90/1100+ acceptance ratio]

M. Chen. More Is Better: Multi-Image Enrichment. In Proceedings of HP Imaging and Color Symposium, November, 2004. [oral, 30/650+ acceptance ratio]

M. Chen. Dynamic Content Adaptive Super-Resolution. In Proceedings of IEEE International Conference on Image Analysis and Recognition, September, 2004.

M. Chen. Video Frame Enhancement for Printing. Proceedings of HP Color Imaging Symposium, October, 2002. [oral, 30/700+ acceptance ratio]

M. Chen, T. Kanade, D. Pomerleau. Characterization and Application of a Statistical Brain Model. Proceedings of International Conference on Signal Processing and Communications, September, 2000.

M. Chen, T. Kanade, D. Pomerleau, J. Schneider. 3-D Deformable Registration of Medical Images Using a Statistical Atlas. In Proceedings of International Conference on Medical Image computing and Computer-Assisted Intervention (MICCAI), September 1999.

M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. Anomaly Detection through Registration. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 1998.

M. Chen, T. Jochem, D. Pomerleau. AURORA: Vision-Based Vehicle Roadway Departure Warning System. Proceedings of IEEE International Conference on Intelligent Robots and Systems, July, 1995.

[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.

J. Pan, T. Kanade, M. Chen. Learning to Detect Different Types of Cells under Phase Contrast Microscopy. In Proceedings of the Workshop on Microscopic Image Analysis with Applications in Biology (MIAAB), September 2009.

Q. Lin, T. Zhang, M. Chen, Y. Deng, C. Atkins. Video Analysis for Browsing and Printing. In Proceedings of the 10th IEEE Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), May, 2009.

D. Parikh, R. Sukthankar, T. Chen, M. Chen. Feature-based Part Retrieval for Interactive 3D Reassembly. In Proceedings of IEEE Workshop on Applications of Computer Vision (WACV), February, 2007.

M. Chen, T. Kanade, D. Pomerleau. Bootstrap a Statistical Brain Atlas. Proceedings of IEEE Computer Society Workshop on the Application of Computer Vision (WACV), December, 2000.

M. Chen, T. Kanade, D. Pomerleau. Medical Image - Atlas Registration Using Deformable Models for Anomaly Detection. In Proceedings of the DARPA Image Understanding Workshop, November, 1998.

M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. Quantitative Study of Brain Anatomy. Proceedings of IEEE Workshop on Biomedical Image Analysis, 1998.

M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. Anomaly Detection through Registration. In Proceedings of NASA/Goddard Image Registration Workshop, November, 1997. Best Paper Award Winner.

[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.

Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. M. Rehg. Automated Macular Pathology Diagnosis in SD-OCT Scans Based on Multi-Scale Texture and Shape Features within a Pathology-Specific Spatial Mask. Association of Research in Vision and Ophthalmology Annual Meeting (ARVO), May, 2011.

Y. Liu, M. Chen, H. Ishikawa, G. Wollstein, J. Schuman, J. M. Rehg. Automated Macular Pathology Diagnosis in Three Dimensional (3D) Spectral Domain Optical Coherence Tomography (SD-OCT) Images. Association of Research in Vision and Ophthalmology Annual Meeting (ARVO), May, 2010.

S. Ricco, M. Chen, H. Ishikawa, G. Wollstein, J. Xu, J. Schuman. Automatic Correction of Motion Artifacts in 3D Retinal Spectral Domain Optical Coherence Tomography. Association for Research in Vision and Ophthalmology Annual Meeting (ARVO), May, 2009.

P. Barnum, M. Chen, H. Ishikawa, G. Wollstein, and J. Schuman. Pathology Insensitive Quality Assessment for Optical Coherence Tomography. Association for Research in Vision and Ophthalmology Annual Meeting (ARVO), April, 2008.

[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.

M. Chen, U. Gargi. On-Demand Interactive And Automatic Shared Video Enhancement Over A Network. HP defensive publication, 2003.

M. Chen. 3-D Deformable Registration Using a Statistical Atlas with Applications in Medicine. Ph.D thesis. Technical report CMU-RI-TR-99-20, Robotics Institute, Carnegie Mellon University, 1999.

M. Chen, T. Kanade, D. Pomerleau, J. Schneider. Probabilistic Registration of 3-D Medical Images. Technical report CMU-RI-TR-99-16, Robotics Institute, Carnegie Mellon University, 1999.

M. Chen, T. Kanade, D. Pomerleau, J. Schneider. 3-D Deformable Registration of Medical Images Using a Statistical Atlas. Technical report CMU-RI-TR-98-35, Robotics Institute, Carnegie Mellon University, 1998.

M. Chen, T. Kanade, H. Rowley, D. Pomerleau. Quantitative Study of Brain Anatomy. Technical report, CMU-RI-TR-98-05, Robotics Institute, Carnegie Mellon University, 1998.

M. Chen, T. Kanade, H. Rowley, D. Pomerleau. Anomaly Detection through Registration. Technical report CMU-RI-TR-97-41, Robotics Institute, Carnegie Mellon University, 1997.

M. Chen, T. Jochem, D. Pomerleau. AURORA: A Vision-Based Roadway Departure Warning System. Technical report CMU-RI-TR-97-21, Robotics Institute, Carnegie Mellon University, 1997.

M. Chen. Knowledge-Based Deformable Matching for Pathology Detection. Technical report CMU-RI-97-20, Robotics Institute, Carnegie Mellon University, 1997.

P. Berkelman, M. Chen, J. Easudes, J. Hancock, M. Martin, A. Mor, E. Rollins, A. Sharf, J. Silberman, T. Warren, D. Bapna. Design of a Day/Night Lunar Rover. Technical report CMU-RI-TR-95-24, Robotics Institute, Carnegie Mellon University, 1995.

J. Yang, Y. Xu, M. Chen. Hidden Markov Model Approach to Skill Learning and Its Application to Telerobotics. Technical report CMU-RI-TR-93-01, Robotics Institute, Carnegie Mellon University, 1993.

M. Chen, Z. Bian. Edge Detection Algorithm in the Analysis of Cluttered Scenes and Its Application in Rockbeds Image Processing. Technical report 93-19, Tsinghua University, Beijing, China, May, 1993.

M. Chen, Y. Sui. Telecommunication between Workstation and Machine Center in CIMS. Technical report 91-861, Tsinghua University, Beijing, China, May, 1991.

[show more technical reports]

Issued U.S. Patents

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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.

X. Lin, T. Zhang, C. Atkins, G. Vordran, M. Chen, C. Untilis, S. Cheatle, D. Lee. System and method for producing a page using frames of a video stream. 7,760,956.

M. Chen. Image Processing System and Method, 7,730,406.

M. Chen. Three dimensional image processing apparatus and X-ray diagnosis apparatus, 7,660,383.

M. Chen. Combining Multiple Exposure Images to Increase Dynamic Range, 7,623,683.

J. Yen, M. Chen, R. Samadani, P. Obrador, H. Luo. Providing Optimized Digital Images, 7,595,823.

M. Chen. Stabilizing a Sequence of Image Frames, 7,433,497.

M. Chen. Computing Dissimilarity Measures, 7,388,987.

N. Venkata, N. Chang, D. Mukherjee, M. Chen, K. Lin. Motion Estimation for Compression of Calibrated Multi-View Image Sequences, 7,286,689.

M. Chen. Method for Image Stabilization by Adaptive Filtering, 7,254,279.

D. Silverstein, M. Chen, D. Mukherjee, A. Said, N. Ray. Image Transmission for low bandwidth with region of interest, 6,882,755.

[show more issued patents]

Advisement

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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.

• Hanbyul Joo (September 2012 – December 2013), Carnegie Mellon University, Robotics Institute.
• Yu Wang (March 2012 – December 2013), Carnegie Mellon University, Electrical and Computer Engineering.
• Hyun Soo Park (October 2011 – December 2013), Carnegie Mellon University, Mechanical Engineering.
• Aaron Cois (September 2006 - July 2008) University of Pittsburgh, Bioengineering. Now at CMU CyLab.
• Peter Barnum (June 2007 - May 2008) Carnegie Mellon University, Robotics Institute. Now at Anki, Inc.
• Devi Parikh (July 2006 - May 2007) Carnegie Mellon University, Electrical and Computer Engineering. Now at Virginia Tech Electrical & Computer Engineering.
• Xiaojun Feng (June 2004 - August 2004) Purdue University, Electrical Engineering.
• Eric Setton (June 2002 - August 2002) Stanford University, Computer Science. Co-founder and CTO of Tango.

[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

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• 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.

• Lee Weiss, Carnegie Mellon University.
• Phil Campbell, Carnegie Mellon 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 at Georgia Dermatology and Skin Cancer Center.
• Weidong Cai, University of Sydney.
• George Stetten, Carnegie Mellon University.
• M. Satyanarayanan, Carnegie Mellon University.
• Tsuhan Chen, Carnegie Mellon University. Now at Cornell University.
• Jie Yang, Carnegie Mellon University. Now at National Science Foundation.
• Mingui Sun, University of Pittsburgh.
• Walt Schneider, University of Pittsburgh.
• Milos Hauskrecht, University of Pittsburgh.
• Bin Zheng, University of Pittsburgh. Now at University of Oklahoma.
• Friedrich D. Knollmann, University of Pittsburgh.
• Rong Jin, Michigan State University.

[show more faculty collaborators]

Publication Awards

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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

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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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