Shubao Liu
Lead Research Scientist,
GE Global Research
Education
-
Ph.D., Computer Vision | Sep. 2005 - Feb. 2011 |
Brown University, Providence, RI
Thesis: Statistical Inverse Ray Tracing for Image-Based 3D Modeling
Advisor: Professor David B. Cooper
-
M.Phil., Computational Intelligence | Aug. 2003 - Aug. 2005 |
The Chinese University of Hong Kong , Hong Kong
Thesis: Continuous-Time Recurrent Neural Networks for Quadratic Programming --- Theory and Engineering Applications
Advisor: Professor Jun Wang
-
B.E., Automation | Sep. 1999 - Jul. 2003 |
The University of Science and Technology of China , Hefei, China
Work Experience
- Lead Research Scientist, GE Global Research, April 2013 -- present
- Research Scientist, GE Global Research, March 2011 -- March, 2013
- Intern, Google Inc., May--August 2008
Research Areas
Computer Vision, Pattern Recognition, Image Analysis and Neural Computing
Peer Reviewed Publications
- Shubao Liu, Dirk Padfield and Paulo Mendonca, "Tracking of Carotid Arteries in Ultrasound Images", Proceedings of The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Nagoya, Japan, 2013
- Ser Nam Lim, Li Guan, Shubao Liu and Xingwei Yang, "Automatic Registration of Smooth Object Image to 3D CAD Model for Industrial Inspection Applications", Proceedings of The Third Joint 3DIM/3DPVT Conference (3DV), Seattle, WA, 2013
- Shubao Liu and David B. Cooper, "A Complete Statistical Inverse Ray Tracing Approach to Multi-view Stereo", Proceedings of CVPR'11, pp.913-920, Colorado Springs, CO, 2011 [preprint pdf].
- Shubao Liu and David B. Cooper, "Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference", Proceedings of CVPR'10, pp.1530--1537, San Francisco, CA, 2010 [preprint pdf].
- Eben Gay, David Cooper, Benjamin Kimia, Gabriel Taubin, Daniel Cabrini, Suman Karumuri, Will Doutre, Shubao Liu, Katarina Galor, Donald Sanders, Andrew Willis, "REVEAL intermediate report", 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), San Francisco, CA, 2010.
- Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and David B. Cooper, "Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras", Proceedings of CVPR'09, pp.2334--2341, Miami, FL, 2009 [preprint pdf].
- Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and David B. Cooper, "Free-form Object Reconstruction from Silhouettes, Occluding Edges and Texture Edges: A Unified and Robust Operator Based on Duality", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 30, no. 1, pp. 131--146, January 2008 [preprint pdf].
- Shubao Liu, Xiaolin Hu and Jun Wang, "Obstacle avoidance for kinematically redundant manipulators based on an improved problem formulation and the simplified dual neural network", Proc. IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications, pp. 67--72, Passau, Germany, 2007.
- Shubao Liu and Jun Wang, "A Simplified Dual Neural Network for Quadratic Programming with Application for K-Winners-Take-All Operation", IEEE Transactions on Neural Networks (TNN), vol. 17, no. 6, pp. 1500-1510, 2006 [preprint pdf].
- Shubao Liu and Jun Wang, "A New K-Winners-Take-All Neural Network," International Joint Conference on Neural Networks (IJCNN), pp. 712-716, Montreal, Canada, 2005 [preprint pdf].
- Shubao Liu and Jun Wang, "Bi-criteria Torque Optimization of Redundant Manipulators Based on A Simplified Dual Neural Network'', International Joint Conference on Neural Networks (IJCNN), pp. 2796-2801, Montreal, Canada, 2005.
- Shubao Liu and Jun Wang, "Obstacle Avoidance for Kinematically Redundant Manipulators Using the Deterministic Annealing Neural Network", International Symposium on Neural Networks (ISNN), pp. 240 - 246, May 2005 [pdf].
- Shubao Liu and Jun Wang, "A Dual Neural Network for Bi-Criteria Torque Optimization of Redundant Robot Manipualtors", Proceedings of International Conference on Neural Information Processing (ICNIP), pp. 1142-1147, November 2004 [pdf].
- Shubao Liu and Jun Wang, "Blind Adaptive Multiuser Detection Using a Recurrent Neural Network", International Conference on Communications, Circuits and Systems (ICCCS), pp. 1071-1075, June 2004 [preprint pdf].
Articles in Submission
- Shubao Liu and David B. Cooper, "Statistical Inverse Ray Tracing for Multi-view 3D Modeling", in submission.
Patents
- 254558-1, System for inspecting industrial ultrasound images, filed in US, Europe, India, Canada, Brazil, Japan, China, 2011, 2012
- 262092-1, Enhanced Borescope Inspection System, filed in US, 2013
- 265179-1, Registration and Tracking for Large-Scale Carotid Plaque Models, filed in US, 2013
Academic Activities
- Presented a paper at 3DV'13, Seattle, WA, 2013
- "Image Parsing", seminar talk at GE Global Research, 2012.
- Presented a paper at CVPR'11, Colorado Springs, CO, 2011.
- "Statistical Inverse Ray Tracing for Image-Based 3D Modeling," seminar talk at MIT CSAIL, GE Global Research, Siemens Corporate Research, 2011.
- Presented a paper at CVPR'10, San Francisco, CA, 2010.
- Presented a paper at CVPR'09, Miami, FL, 2009.
- Attended the Graduate Summer School: Probabilistic Models of Cognition: The Mathematics of Mind, Institute of Pure and Applied Mathematics, UCLA, July 9 -- 26, 2007.
- Reviewed papers for major journals and conferences on computer vision and neural networks, including IEEE Transactions on Pattern Analysis and Machine Intelligence, ISPRS Journal of Photogrammetry and Remote Sensing, Neural Computation, Neurocomputing, Neural Processing Letters, Journal of Inequalities and Applications, IEEE Transactions on Multimedia, etc.
- Served as programme committee member on several international conferences (ICICIP 2012, ICACI 2012, ISIEA 2012, ISNN 2013)
Awards and Honors
- GE Genius of the Day, GE Global Research, 2011
- Research Assistantship, Brown University, 2006-2010
- University Fellowship, Brown University, 2005-2006
- Postgraduate Scholarship, The Chinese University of Hong Kong, 2003-2005
- CAST Scholarship, University of Science and Technology of China, 2001
- Outstanding Student Scholarship, University of Science and Technology of China, 1999, 2000, 2002
|