— Curriculum Vitae —
Ce Liu
TITLE
Researcher
Microsoft Research New England
Research Affiliate
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Massachusetts Institute of Technology
CONTACT INFORMATION
Address:
Microsoft Incorporation, One Memorial Drive
Cambridge, MA 02142
Phone: +1 857-453-6325 (O) +1 617 947 6317 (C)
Email:
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celiu@microsoft.com
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Homepage: http://research.microsoft.com/en-us/um/people/celiu/
EDUCATION AND WORKING EXPERIENCES
2010~now, Researcher at Microsoft Research New England
2010~now, Research Affiliate and Guest Lecturer at CSAIL MIT
2009~2010, Postdoc at Microsoft Research New England
2009, PhD, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
Fall 2008, teaching assistant of class 6.870 Object Recognition and Scene Understanding
Summer 2008, intern at Adobe System Incorporation
Spring 2006, teaching assistant of class 6.098/6.882 Computational Photography
Summer 2005, intern at Interactive Visual Media Group, Microsoft Research
2004~now, reviewer of IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Image Processing, ACM SIGGRAPH, International Journal of Computer Vision, Journal of Optical Society of America, IEEE CVPR, ICCV, ECCV, NIPS
2002~2003, Assistant Researcher, Microsoft Research Asia
2002, Master of Engineering, Institute of Pattern Recognition and Intelligent Systems, Department of Automation, Tsinghua University
1999, Bachelor of Engineering, Department of Automation, Tsinghua University
RESEARCH INTERESTS
My research is in the area of computer vision, computer graphics, computational photography, machine learning and large-scale intelligent systems.
AWARDS
Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009, 2010
Best Student Paper Award, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009
Xerox Fellowship, 2007
Outstanding Student Paper Award, Neural Information Processing Systems (NIPS), 2006
Microsoft Fellowship, 2005-2006
Webster Fellowship, MIT, 2003
1st Prize of Mathematical Contest on Modeling (undergraduate), USA, 1998
1st Prize of Mathematical Contest on Modeling (undergraduate), China, 1997
Outstanding student of Tsinghua University, 1996
1st Prize of National Physics Competition (high school), China, 1994
Diamond Prize of National Painting Contest, 1990
One of 1000 Young Artists of China, 1987
PUBPLICATIONS
Book Chapters
1.
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C. Liu, J. Yuen and A. Torralba and W. T. Freeman. SIFT flow: dense correspondence across different scenes and its application. In A. Blake, P. Kohli, and C. Rother, eds., Advances in Markov Random Fields for Vision and Image Processing. MIT Press, 2011.
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2.
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W. T. Freeman and C. Liu. Markov Random Fields for Super-resolution and Texture Synthesis. In A. Blake, P. Kohli, and C. Rother, eds., Advances in Markov Random Fields for Vision and Image Processing, Chapter 10. MIT Press, 2011.
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Thesis
3.
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C. Liu. Beyond pixels: exploring new representations and applications for motion analysis. Doctoral Thesis. Massachusetts Institute of Technology. 2009.
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Journal Papers
4.
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C. Liu, J. Yuen and A. Torralba. Nonparametric Scene Parsing via Label Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2011. Vol. 33, No. 12, 2011
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5.
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C. Liu, J. Yuen and A. Torralba. SIFT flow: dense correspondence across different scenes and its application. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Vol. 33, No. 5, 2011.
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6.
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C. Liu, R. Szeliski, S. B. Kang, C. L. Zitnick and W. T. Freeman. Automatic estimation and removal of noise from a single image. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 30, No. 2, pp. 299-314, February 2008.
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7.
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C. Liu, H.Y. Shum and W.T. Freeman. Face hallucination: theory and practice. International Journal of Computer Vision (IJCV), Vol. 75, No. 1, pp. 115-134, October 2007.
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8.
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C. Liu, A. Torralba, W.T. Freeman, F. Durand and E.H. Adelson. Motion magnification. ACM Transactions on Graphics (SIGGRAPH 2005), pp. 519-526, August 2005.
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9.
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C.Y. Wu, C. Liu, H.Y. Shum, Y.Q. Xu and Z.Y. Zhang. Automatic eyeglasses removal from face images. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 26, No. 3, pp. 322-336, March 2004.
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10.
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S. C. Yan, C. Liu, S. Z. Li, H.J. Zhang, H. Shum, Q. S. Cheng. Face alignment using texture constrained active shape models. Image and Vision Computing, Vol. 21, Issue 1, Pages 69-75, January 2003.
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11.
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L. Liang, C. Liu, Y.Q. Xu, B.N. Guo and H.Y. Shum. Real-time texture synthesis by patch-based sampling. ACM Transactions on Graphics (TOG), Vol. 20, No. 3, pp. 127-150, July 2001.
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Peer-Reviewed Conference Papers
12.
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O. Tamuz, C. Liu, S. Belongie, O. Shamir and A. Kalai. Adaptively Learning the Crowd Kernel. 28th International Conference on Machine Learning (ICML), 2011. Oral presentation.
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13.
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C. Liu and D. Sun. A Bayesian Approach to Adaptive Video Super Resolution. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011. Oral presentation1.
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14.
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M. Rubinstein, C. Liu, P. Sand, F. Durand, W.T. Freeman. Motion Denoising with Application to Time-lapse Photography. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011.
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15.
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C. Liu and W. T. Freeman. A High-Quality Video Denoising Algorithm based on Reliable Motion Estimation. European Conference on Computer Vision (ECCV) 2010. Oral presentation.
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16.
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C. Liu, L. Sharan, E. H. Adelson and R. Rosenholtz. Exploring features in a Bayesian framework for material recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2010.
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17.
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J. Yuen, B. Russell, C. Liu, and A. Torralba. LabelMe video: Building a Video Database with Human Annotations. IEEE International Conference on Computer Vision (ICCV), Oct 2009.
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18.
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C. Liu, J. Yuen, and A. Torralba. Nonparametric scene parsing: label transfer via dense scene alignment. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009. Oral presentation. Best Student Paper Award.
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19.
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C. Liu, J. Yuen, A. Torralba, J. Sivic and W. T. Freeman. Scene alignment using generalized optical flow. European Conference on Computer Vision (ECCV), 2008. Oral presentation.
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20.
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C. Liu, W. T. Freeman, E. H. Adelson and Y. Weiss. Human-Assisted Motion Annotation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. Oral presentation.
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21.
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B. Russell, A. Torralba, C. Liu, R. Fergus and W. T. Freeman. Object recognition by scene alignment. Advances in Neural Information Processing Systems (NIPS), 2007.
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22.
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M. Tappen, C Liu, W. T. Freeman and E. H. Adelson. Learning Gaussian conditional random fields for low-level vision. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8, 2007.
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23.
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C. Liu, W.T. Freeman and E.H. Adelson. Analysis of contour motions. Advances in Neural Information Processing Systems (NIPS), 2006. Oral presentation. Outstanding Student Paper Award.
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24.
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C. Liu, W.T. Freeman, R. Szeliski and S.B. Kang. Noise estimation from a single image. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 901-908, 2006. Oral presentation. Oral presentation.
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25.
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L. Yuan, F. Wen, C. Liu and H.Y. Shum. Synthesizing dynamic texture with closed-loop linear dynamic system. European Conference on Computer Vision (ECCV), 2004. Oral presentation.
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26.
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C. Liu and H.Y. Shum. Kullback-Leibler boosting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 587-594, 2003. Oral presentation.
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27.
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Z.Q. Liu, C. Liu, H.Y. Shum and Y.Z. Yu. Pattern-based texture metamorphosis. Pacific Conference on Computer Graphics and Applications, pp. 184-193, 2002. Oral presentation.
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28.
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S.C. Yan, C. Liu, S. Z. Li, L. Zhu, Z, H.J. Zhang, H.Y. Shum and Q. S. Cheng. Texture constrained active shape models. ECCV 2002 Workshop on Generative Model Based Vision. Copenhagen, Denmark. May, 2002.
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29.
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C. Liu, H.Y. Shum and S.C. Zhang. Hierarchical shape model for automatic face localization. European Conference on Computer Vision (ECCV), pp. 687-703, 2002.
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30.
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C.Y. Wu, C. Liu, H.Y. Shum, Y.Q. Xu and Z.Y. Zhang. Automatic eyeglasses removal from face images. Asian Conference on Computer Vision, pp. 193-198, 2002. Oral presentation.
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31.
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C. Liu, H.Y. Shum and C.S. Zhang. Two-step approach to hallucinating faces: global parametric model and local nonparametric model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Vol. 1, pp. 192-198, 2001. Oral presentation.
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32.
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C.Y. Wu, C. Liu and J. Zhou. Eyeglasses verification by support vector machine. IEEE Pacific Ring Conference on Multimedia, pp. 1126-1131, 2001.
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33.
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C. Liu, S.C. Zhu and H.Y. Shum. Learning inhomogeneous Gibbs model of faces by minimax entropy. IEEE International Conference on Computer Vision (ICCV), pp. 281-287, 2001.
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Tech Report
34.
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J. Yuen, C. L. Zitnick, C. Liu, and A. Torralba. A framework for encoding object-level image priors. Microsoft Research Technical Report, MSR-TR-2011-99, 2011.
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Referred Abstracts
35.
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L. Sharan, C. Liu, E. H. Adelson and R. Rosenholtz. A computational model for material recognition. Presented at Vision Science Society (VSS), Naples, Florida, May 2010.
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36.
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C. Liu, E. H. Adelson and W. T. Freeman. Human-assisted motion annotation for real-world videos. Presented at Vision Science Society (VSS), Naples, Florida, May 2008.
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TALKS
Oct 2001
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Microsoft
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Face hallucination: global parametric and local nonparametric model
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Feb 2002
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U.C. Berkley
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Face hallucination: global parametric and local nonparametric model
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Aug 2005
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SIGGRAPH
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Motion magnification
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Jun 2006
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CVPR
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Automatic noise estimation from a single image
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Dec 2006
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NIPS
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Analysis of contour motions
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Mar 2008
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CSAIL MIT
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Bridging the gap between human and computer analysis on motion
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May 2008
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VSS
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Human-assisted motion annotation for real-world videos
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Jun 2008
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CVPR
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Human-assisted motion annotation
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Aug 2008
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Xerox
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How to make the computer see the moving world
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Oct 2008
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University of Cambridge
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SIFT flow: dense correspondence across scenes
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Oct 2008
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ECCV
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SIFT flow: dense correspondence across scenes
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Oct 2008
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CSAIL MIT
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Go beyond pixels--exploring new representations and applications for motion analysis
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Dec 2008
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SEAS Harvard
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Go beyond pixels--exploring new representations and applications for motion analysis
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Jan 2009
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SUnS Workshop
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Dense scene alignment
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Mar 2009
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MSR New England
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Beyond pixels--exploring new representations and applications for motion analysis
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May 2009
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CSAIL MIT
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Beyond pixels--exploring new representations and applications for motion analysis
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Jun 2009
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CVPR
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Nonparametric scene parsing: label transfer via dense scene alignment
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Jul 2009
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UCSD
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SIFT flow: dense scene alignment and its applications
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Oct 2009
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Brown Unv.
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SIFT flow: dense scene alignment and its applications
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Oct 2009
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Dartmouth Col.
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SIFT flow: dense scene alignment and its applications
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Dec 2009
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Boston Unv.
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Beyond pixels--exploring new representations and applications for motion analysis
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Apr 2010
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New York Unv.
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Exploring new models and features for visual recognition
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Apr 2010
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MIT
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Guest lecture on computer vision
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May 2011
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MIT
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Guest lecture on computer vision
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Aug 2011
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CV Frontier
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Foundation & core in computer vision: a system perspective
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Jun 2011
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CVPR
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A Bayesian approach to adaptive video super resolution
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Oct 2011
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U.T. Austin
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Sparsity via dense correspondences for videos and large-scale image databases
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Oct 2011
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U.C. Florida
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Sparsity via dense correspondences for videos and large-scale image databases
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Oct 2011
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Adobe Research
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Exploring temporal sparsity for video enhancement
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PATENTS
1.
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W. T. Freeman and C. Liu. Occluding contour detection and storage for digital photography. US Patent 7,715,589. 2010.
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2.
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R. S. Szeliski, S. B. Kang, C. Liu and L. Zitnick. Region-based image denoising. US Patent 7,587,099. 2009.
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3.
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C. Liu, S. Paris and P. Smaragdis. Combined visual and auditory processing. US Patent App. 12/323,738, 2008.
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4.
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C. Liu. Material recognition from an image. US Patent App. 12/752,960, 2010.
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5.
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C. Liu. Methods and apparatus for reducing structured noise in video. US Patent App. 2010.
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6.
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C. Liu et. al. Multi-modal approach to search query input. US Patent App. 2010.
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7.
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C. Liu et. al. Adaptive interactive search. US Patent App. 2011.
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8.
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C. Liu. Adaptive super resolution for video enhancement. US Patent App. 2011.
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9.
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C. Liu. Adaptively learning a similarity model. US Patent App. 2011.
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REFERENCES
William T. Freeman
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Title:
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Professor, Deputy Director of EECS Dept.
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Affiliation:
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Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology
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Address:
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D32-476, Stata Center, CSAIL MIT
32 Vassar Street
Cambridge, MA 02139
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Email:
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billf@mit.edu
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Tel:
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+1 617 253 8828
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Edward H. Adelson
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Title:
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Professor of Vision Science
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Affiliation:
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Department of Brain and Cognitive Science
Massachusetts Institute of Technology
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Address:
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43 Vassar Street, Building 46-4115
Cambridge, MA 02139
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Email:
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adelson@csail.mit.edu
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Tel:
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+1 617 253 0645
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Harry Shum
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Title:
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Vice President, Distinguished Engineer
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Affiliation:
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Microsoft Corporation
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Address:
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One Microsoft Way
Redmond, WA 98052
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Email:
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hshum@microsoft.com
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Tel:
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+1 425 703 8165
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Richard Szeliski
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Title:
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Group Manager, Principal Researcher
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Affiliation:
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Interactive Visual Media Group, Microsoft Research
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Address:
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One Microsoft Way
Redmond, WA 98052
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Email:
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szeliski@microsoft.com
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Tel:
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+1 425 706 4774
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Jennifer Chayes
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Title:
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Managing Director, Distinguished Scientist
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Affiliation:
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Microsoft Research New England
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Address:
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Microsoft Incorporation, One Memorial Drive
Cambridge, MA 02142
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Email:
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jchayes@microsoft.com
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Tel:
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+1 857 453 6308
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PERSONAL
Painting (both Chinese and western styles), digital photo and video special effects, photography, soccer, volleyball, cooking
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