ChenMei_221

Mei Chen

Computer vision, biomedical imaging, computational photography, robot perception

The World Within Reach

 

Introduction

New! I'm organizing a workshop at CVPR 2016 on Computer Vision for Microscopy Image Analysis. For more information:  http://www.albany.edu/celltracking/CVMI/.

Education

Ph.D.  Robotics, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA

M.S.  Pattern Recognition and Artificial Intelligence, Tsinghua University, Beijing, China

B.S. Automation (Electrical and Computer Engineering), Tsinghua University, Beijing, China

Publication Awards

Finalist for Best Paper Award, with A. Tareef, Y. Song, W. Cai, and D. Feng. 13th International Conference on Control, Automation, Robotics & Vision, Singapore, 2014.

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.

Research Interests

Computer Vision, Biomedical Imaging, Computational Photography, Robot Perception

Publications

Books and Monographs

M. Chen and T. Kanade, Detect Cells and Cellular Behaviors in Phase Contrast Microscopy Images, In: Medical Image Recognition, Segmentation and Parsing, S. Zhou ed., Elsevier, ISBN 978-0-12-802581-9.

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

  1. Y. Song, W. Cai, H. Huang, D. Feng, M. Chen. Large Margin Local Estimate with Applications to Medical Image Classification. IEEE Transactions on Medical Imaging (TMI), vol. 34, issue 6, pp 1362-1377, June, 2015.
  2. 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.
  3. 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.
  4. Zhaozheng Yin, Takeo Kanade, Mei 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. Anomaly Detection through Registration. Pattern Recognition, vol 32, pp 113-128, 1999.

Papers in Conference Proceedings Critically Reviewed Prior to Publication

(ICCV, CVPR, ECCV, ACCV, MICCAI, ISBI are top computer vision/biomedical imaging conferences with an overall acceptance rate of around 20%)
  1. Y. Song, W. Cai, H. Huang, Y. Wang, M. Chen. Texture Analysis of Tissue Aging using Global and Cluster Constrained Local Coding. In proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), April, 2016.
  2. A. Tareef, Y. Song, W. Cai, Y. Wang, M. Chen. Automatic Nuclei and Cytoplasm Segmentation of Leukocytes with Color and Texture-based Image Enhancement. In proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), April, 2016.
  3. A. Tareef, Y. Song, D. Feng, M. Chen, W. Cai. Morphological Filtering and Hierarchical Deformation for Overlapping Cell Segmentation, International Conference on Digital Image Computing, Adelaide, Australia, November, 2015.
  4. A. Tareef, Y. Song, W. Cai, Y. Wang, D. Feng, M. Chen. Learning Shape-Driven Segmentation based on Neural Network and Sparse Reconstruction toward Automated Cell Analysis of Cervical Smears, 22nd International Conference on Neural Information Processing (NIP), Istanbul, Turkey, November, 2015.
  5. F. Zhang, Y. Song, W. Cai, A.G. Hauptmann, D. Feng, M. Chen, Ranking-based Vocabulary Pruning in Bag-of-Features for Image Retrieval. Australasian Conference on Artificial Life and Computational Intelligence, 2015. In Lecture Notes in Artificial Intelligence (LNAI) 8955, 2015.
  6. 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.
  7. 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.
  8. R. Tamburo, S. G. Narasimhan, A. Rowe, T. Kanade, E. Nurvitadhi, M. Chen. Programmable Automotive Headlights, European Conference on Computer Vision (ECCV), September, 2014.
  9. 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.
  10. 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.
  11. R. Tamburo, S. G. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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, and R. Iyer. EMERALD: Emerging Applications for Low power Devices. In proceedings of IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2013.
  17. 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.
  18. Z. Yin, E. Ker, S. Junkers, T. Kanade, M. Chen, L. Weiss, P. Campbell. Data-driven Prediction on Stem Cell Culture Process. In Proceedings of IEEE Engineering in Medicine and Biology Conference (EMBC’11), August, 2011.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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 (ICIP), November, 2009.
  27. 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 (ACCV), 2009. Best Paper Award Winner.
  28. 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.
  29. 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
  30. 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.
  31. 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.
  32. 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 (ISBI): Special Session on In Vivo Microscopic Image Analysis, May, 2008. Invited and peer-reviewed.
  33. H. Zhou, M. Chen, L. Zou, R. Gass, L. Ferris, L. Drogowski, J. M. Rehg. Spatially Constrained Segmentation of Dermoscopy Images. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), May, 2008.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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 (ICME), July, 2007. Invited and peer-reviewed.
  40. 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.
  41. M. Chen, Q. Lin. Imaging Technology that Overcomes Sensor Limits. In Proceedings of HP TechCon, April, 2006. [oral, 40/1100+ acceptance ratio]
  42. M. Chen. Video Motion Mining for Creative Rendering. In Proceedings of International Conference on Computational Intelligence, August, 2005.
  43. 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]
  44. 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]
  45. M. Chen. More Is Better: Multi-Image Enrichment. In Proceedings of HP Imaging and Color Symposium, November, 2004. [oral, 30/650+ acceptance ratio]
  46. M. Chen. Dynamic Content Adaptive Super-Resolution. In Proceedings of IEEE International Conference on Image Analysis and Recognition, September, 2004.
  47. M. Chen. Video Frame Enhancement for Printing. In Proceedings of HP Color Imaging Symposium, October, 2002. [oral, 30/700+ acceptance ratio]
  48. M. Chen, T. Kanade, D. Pomerleau. Characterization and Application of a Statistical Brain Model. In Proceedings of International Conference on Signal Processing and Communications, September, 2000.
  49. 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.
  50. M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. Anomaly Detection through Registration. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 1998.
  51. M. Chen, T. Jochem, D. Pomerleau. AURORA: Vision-Based Vehicle Roadway Departure Warning System. In Proceedings of IEEE International Conference on Intelligent Robots and Systems (IROS), July, 1995.

Papers in Workshop Proceedings Critically Reviewed Prior to Publication

  1. 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.
  2. 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.
  3. 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. In Proceedings of 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.
  4. 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.
  5. 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.
  6. 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
  7. M. Chen, T. Kanade, D. Pomerleau. Bootstrap a Statistical Brain Atlas. In Proceedings of IEEE Computer Society Workshop on the Application of Computer Vision (WACV), December, 2000.
  8. M. Chen, T. Kanade, D. Pomerleau. Medical Image - Atlas Registration Using Deformable Models for Anomaly Detection. In Proceedings of the DARPA Image Understanding Workshop (IUW), November, 1998.
  9. M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. Quantitative Study of Brain Anatomy. In Proceedings of IEEE Workshop on Biomedical Image Analysis, 1998.
  10. M. Chen, T. Kanade, D. Pomerleau, H. A. Rowley. Anomaly Detection through Registration. In Proceedings of NASA/Goddard Image Registration Workshop (IRW), November, 1997. Best Paper Award Winner.

Abstracts Critically Reviewed Prior to Presentation

(ARVO is the largest and most respected eye and vision research organization in the world)

  1. 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.
  2. 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’11), May, 2011.
  3. 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’10), May, 2010.
  4. 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’09), May, 2009.
  5. 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’08), April, 2008.

Select Technical Reports

  1. M. Chen, P. Obrador, “System for Face Detection Guided Video Frame Enhancement”, HP defensive publication, 2003.
  2. M. Chen, U. Gargi, “On-Demand Interactive and Automatic Shared Video Enhancement over a Network”, HP defensive publication, 2003.
  3. 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.

Issued U.S. Patents

  1. 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.
  2. M. Chen. Enhancing image resolution, US 8,036,494.
  3. M. Chen. Color registration in a digital video, US 7,924,922.
  4. M. Chen. Image processing apparatus and associated method, US 7,783,699.
  5. M. Chen. Image registration based on concentric image partitions, US2007/0280555.
  6. M. Chen. Method and system for estimating displacement in a pair of images, US 2005/0084135.
  7. 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.
  8. M. Chen. Image Processing System and Method, 7,730,406.
  9. M. Chen. Combining Multiple Exposure Images to Increase Dynamic Range, 7,623,683.
  10. J. Yen, M. Chen, R. Samadani, P. Obrador, H. Luo. Providing Optimized Digital Images, 7,595,823.
  11. M. Chen. Stabilizing a Sequence of Image Frames, 7,433,497.
  12. M. Chen. Computing Dissimilarity Measures, 7,388,987.
  13. N. Venkata, N. Chang, D. Mukherjee, M. Chen, K. Lin. Motion Estimation for Compression of Calibrated Multi-View Image Sequences, 7,286,689.
  14. M. Chen. Method for Image Stabilization by Adaptive Filtering, 7,254,279.
  15. D. Silverstein, M. Chen, D. Mukherjee, A. Said, N. Ray. Image Transmission for low bandwidth with region of interest, 6,882,755.