Ce Liu title researcher Microsoft Research New England Research Affiliate Computer Science and Artificial Intelligence Laboratory (csail) Massachusetts Institute of Technology contact information



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— 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:

celiu@microsoft.com

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.

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.

2.

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.

Thesis

3.

C. Liu. Beyond pixels: exploring new representations and applications for motion analysis. Doctoral Thesis. Massachusetts Institute of Technology. 2009.

Journal Papers

4.

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

5.

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.

6.

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.

7.

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.

8.

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.

9.

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.

10.

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.

11.

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.

Peer-Reviewed Conference Papers

12.

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.

13.

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.

14.

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.

15.

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.

16.

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.

17.

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.

18.

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.

19.

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.

20.

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.

21.

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.

22.

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.

23.

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.

24.

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.

25.

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.

26.

C. Liu and H.Y. Shum. Kullback-Leibler boosting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 587-594, 2003. Oral presentation.

27.

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.

28.

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.

29.

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.

30.

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.

31.

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.

32.

C.Y. Wu, C. Liu and J. Zhou. Eyeglasses verification by support vector machine. IEEE Pacific Ring Conference on Multimedia, pp. 1126-1131, 2001.

33.

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.

Tech Report

34.

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.

Referred Abstracts

35.

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.

36.

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.

TALKS

Oct 2001

Microsoft

Face hallucination: global parametric and local nonparametric model

Feb 2002

U.C. Berkley

Face hallucination: global parametric and local nonparametric model

Aug 2005

SIGGRAPH

Motion magnification

Jun 2006

CVPR

Automatic noise estimation from a single image

Dec 2006

NIPS

Analysis of contour motions

Mar 2008

CSAIL MIT

Bridging the gap between human and computer analysis on motion

May 2008

VSS

Human-assisted motion annotation for real-world videos

Jun 2008

CVPR

Human-assisted motion annotation

Aug 2008

Xerox

How to make the computer see the moving world

Oct 2008

University of Cambridge

SIFT flow: dense correspondence across scenes

Oct 2008

ECCV

SIFT flow: dense correspondence across scenes

Oct 2008

CSAIL MIT

Go beyond pixels--exploring new representations and applications for motion analysis

Dec 2008

SEAS Harvard

Go beyond pixels--exploring new representations and applications for motion analysis

Jan 2009

SUnS Workshop

Dense scene alignment

Mar 2009

MSR New England

Beyond pixels--exploring new representations and applications for motion analysis

May 2009

CSAIL MIT

Beyond pixels--exploring new representations and applications for motion analysis

Jun 2009

CVPR

Nonparametric scene parsing: label transfer via dense scene alignment

Jul 2009

UCSD

SIFT flow: dense scene alignment and its applications

Oct 2009

Brown Unv.

SIFT flow: dense scene alignment and its applications

Oct 2009

Dartmouth Col.

SIFT flow: dense scene alignment and its applications

Dec 2009

Boston Unv.

Beyond pixels--exploring new representations and applications for motion analysis

Apr 2010

New York Unv.

Exploring new models and features for visual recognition

Apr 2010

MIT

Guest lecture on computer vision

May 2011

MIT

Guest lecture on computer vision

Aug 2011

CV Frontier

Foundation & core in computer vision: a system perspective

Jun 2011

CVPR

A Bayesian approach to adaptive video super resolution

Oct 2011

U.T. Austin

Sparsity via dense correspondences for videos and large-scale image databases

Oct 2011

U.C. Florida

Sparsity via dense correspondences for videos and large-scale image databases

Oct 2011

Adobe Research

Exploring temporal sparsity for video enhancement

PATENTS

1.

W. T. Freeman and C. Liu. Occluding contour detection and storage for digital photography. US Patent 7,715,589. 2010.

2.

R. S. Szeliski, S. B. Kang, C. Liu and L. Zitnick. Region-based image denoising. US Patent 7,587,099. 2009.

3.

C. Liu, S. Paris and P. Smaragdis. Combined visual and auditory processing. US Patent App. 12/323,738, 2008.

4.

C. Liu. Material recognition from an image. US Patent App. 12/752,960, 2010.

5.

C. Liu. Methods and apparatus for reducing structured noise in video. US Patent App. 2010.

6.

C. Liu et. al. Multi-modal approach to search query input. US Patent App. 2010.

7.

C. Liu et. al. Adaptive interactive search. US Patent App. 2011.

8.

C. Liu. Adaptive super resolution for video enhancement. US Patent App. 2011.

9.

C. Liu. Adaptively learning a similarity model. US Patent App. 2011.

REFERENCES

William T. Freeman

Title:

Professor, Deputy Director of EECS Dept.

Affiliation:

Department of Electrical Engineering and Computer Science

Massachusetts Institute of Technology



Address:

D32-476, Stata Center, CSAIL MIT

32 Vassar Street

Cambridge, MA 02139


Email:

billf@mit.edu

Tel:

+1 617 253 8828



Edward H. Adelson

Title:

Professor of Vision Science

Affiliation:

Department of Brain and Cognitive Science

Massachusetts Institute of Technology



Address:

43 Vassar Street, Building 46-4115

Cambridge, MA 02139



Email:

adelson@csail.mit.edu

Tel:

+1 617 253 0645



Harry Shum

Title:

Vice President, Distinguished Engineer

Affiliation:

Microsoft Corporation

Address:

One Microsoft Way

Redmond, WA 98052



Email:

hshum@microsoft.com

Tel:

+1 425 703 8165



Richard Szeliski

Title:

Group Manager, Principal Researcher

Affiliation:

Interactive Visual Media Group, Microsoft Research

Address:

One Microsoft Way

Redmond, WA 98052



Email:

szeliski@microsoft.com

Tel:

+1 425 706 4774



Jennifer Chayes

Title:

Managing Director, Distinguished Scientist

Affiliation:

Microsoft Research New England

Address:

Microsoft Incorporation, One Memorial Drive

Cambridge, MA 02142



Email:

jchayes@microsoft.com

Tel:

+1 857 453 6308



PERSONAL

Painting (both Chinese and western styles), digital photo and video special effects, photography, soccer, volleyball, cooking



1 The oral presentation acceptance rate at top vision and learning conferences (CVPR/ICCV/ECCV/NIPS) is around 5%




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