Vision Problems from two face images?
Color from Gray?
Novel View Rendering?
I am a Senior Research
Scientist, Image Analytics and Informatics, at Siemens Corporate Research,
starting from Nov. 2011. I was a Staff Scientist at Siemens Computer Aided
Diagnosis (CAD) Group, Siemens Medical Solutions at
Ph.D. in Computer Science,
MSE in Computer Science,
Graduate Student in Pattern
Recognition and Intelligent Systems, NLPR,
B.E. in ME & Automation
Program / Paper Review Committee: IEEE CVPR, 2012, 2011, 2010, 2009; IEEE ICCV 2011, 2009; ECCV 2010; MICCAI 2011, 2010, 2009
ACCV 2010, 2009
Paper Reviewer: IEEE Trans. PAMI, IEEE Trans. Image Processing, IEEE Trans. Medical Imaging, Pattern Recognition, Pattern Recognition Letter;
MICCAI 2010 on Vertebra Segmentation and Identification, Sept. 2010,
Computational and Visualization Challenges in the New Era of Virtual
Colonoscopy Meeting, MICCAI, Sept. 06, 2008,
RSNA Talk on
ICV detection for
I Gave a Tech Talk at Google in May 2006! The video was an overview of my graduate research on image patch representations/modeling for visual recognition and tracking. During the past year, some parts have been updated.
Learning based 3D Volumetric, Surface, Curve Parsing for Medical Diagnosis (13+)
New Classification Paradigms for Computer-aided Diagnosis (MICCAI 2011, CVPR 2011, Ongoing)
Discriminative/Generative Feature Learning for Computer-aided Diagnosis (Ongoing)
Structure Parsing for Medical Imaging and Analysis (ICCV 2009, MICCAI 2009, MICCAI 2010, Ongoing)
Supervised Learning Approach for Medical Imaging and Analysis (CVPR 2008, ECCV 2008, CVPR 2010, CVPR 2011, Ongoing)
Supervised Discriminative Dimension Reduction (Ongoing)
Online Appearance Modeling for Tracking and Recognition
(NIPS 2006, CVPR 2007)
New Clustering Method for Visual Data (ICML 2006)
Scene Analysis and Category Recognition (CVPR 2005)
Articulated Object Motion Modeling and Recognition (NIPS 2004)
Efficient Particle Filtering using RANSAC (FPIV 2004, IVC 2006)
Real-time Video Mosacing with Medical and Non-medical Applications (CVPR 2003 Demo)
Graphical Models and Tree-Structured Object Tracking (Life time interest, but never get a chance to do it, :-)) )
Publications (peer-refereed major conferences and journals):
Meizhu Liu*, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang, Coarse-to-fine Classification using Parametric and Nonparametric Models for Computer-Aided Diagnosis, CIKM'2011: 20th ACM Conference on Information and Knowledge Management, October 2011, Glasgow, UK (the short version)
The Formula of something "WoW" that works magically (then supposedly): "simple intuitive, or counter-intuitive design accept" + "fine engineered implementation" = "think globally, act locally" = "Good vision/idea, fine engineering"
Meizhu Liu*, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff, Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries, MICCAI'2011: 14th International Conference on Medical Image Computing and Computer Assisted Intervention, September 2011, Toronto, Canada
Meizhu Liu*, Le Lu, Jinbo Bi, Vikas Raykar, Matthias Wolf, Marcos Salganicoff, Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach, MICCAI'2011: 14th International Conference on Medical Image Computing and Computer Assisted Intervention, September 2011, Toronto, Canada
Le Lu, Jinbo Bi, Matthias
Wolf, Marcos Salganicoff, Effective
3D Object Detection and Regression Using Probabilistic Segmentation Features in
CT Images, CVPR'2011: IEEE Conference on Computer Vision and Pattern
Recognition, June 2011,
Jinbo Bi, Dijia Wu*, Le Lu,
Meizhu Liu*, Yimo Tao*, Matthias Wolf, AdaBoost
on Low-Rank PSD Matrices for Metric Learning with Applications in Computer
Aided Diagnosis, CVPR'2011: IEEE Conference on Computer Vision and
Pattern Recognition, June 2011,
Matching of Regions of Interests Across Multiple Views, Meizhu Liu*, Le Lu, Vikas Raykar, Matthias Wolf, Marcos Salganicoff, Non-Provisional US Patent Application, filled on October 4th, 2011.
Le Lu, Matthias Wolf, Jinbo Bi,
Misalignment of Automatic 3D Detection by Classification: Ileo-cecal Valve
False Positive Reduction in CT Colonography", MICCAI-MCV'2010:
Medical Computer Vision: Recognition Techniques and Applications in Medical
Imaging, joint with 13th
International Conference on Medical Image Computing and Computer Assisted
Intervention, Springer Verlag, Sept. 2010,
Jun Ma*, Le Lu, Yiqiang Zhan, Xiang Sean Zhou, Marcos Salganicoff and Arun Krishnan, "Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-based Edge Detection and Coarse-to-fine Deformable Model", MICCAI'2010: 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Sept. 2010, Beijing, China (Oral).
Dijia Wu*, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim Boyer, Arun Krishnan and Marcos Salganicoff, "Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images", CVPR'2010: IEEE Conference on Computer Vision and Pattern Recognition, June 2010, San Francisco, CA.
Systems and Methods for Automatic Vertebra Edge Detection, Segmentation and Identification in 3D Imaging, Le Lu, Marcos Salganicoff, Yiqiang Zhan, Xiang Zhou, and Jun Ma*, Non-Provisional US Patent Application 12/978,434, filled on September 13th, 2010.
Systems and Methods for Multilevel Nodule Attachment Classification in 3D CT Lung Images, Jinbo Bi, Le Lu, Marcos Salganicoff, Yoshihisa Shinagawa, and Dijia Wu*, Non-Provisional US Patent Application 12/880,385, filled on September 13th, 2010.
Multi-level Contextual Learning of Data, Dijia Wu*, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, and Marcos Salganicoff, Non-Provisional US Patent Application 12/962,901, filled on December 8th, 2010.
Le Lu, Jinbo Bi, Shipeng Yu, Zhigang Peng, Arun Krishnan and Xiang Sean Zhou, "A Hierarchical Learning Approach for 3D Tubular Structure Parsing in Medical Imaging", ICCV'2009: 12th International Conference on Computer Vision, September 29-October 2, 2009, Kyoto, Japan.
Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi and Marcos Salganicoff, "A Two-level Approach Towards Semantic Colon Segmentation: Removing Extra-colonic Findings", MICCAI'2009: 12th International Conference on Medical Image Computing and Computer Assisted Intervention, vol. 1, pp. 1009-1016, September 20-24, 2009, London, UK.
Yimo Tao*, Le Lu, Maneesh
Dewan, Albert Y. Chen*, Jason Corso, Marcos Salganicoff, and Arun Krishnan,
Ground Glass Opacity Detection and Segmentation in CT Lung Images",
MICCAI'2009: 12th International
Conference on Medical Image Computing and Computer Assisted Intervention, vol.
1, pp. 715-723, September 20-24, 2009,
User Interface for Polyp Annotation, Segmentation, and Measurement in 3D Computed Tomography Colonography, Le Lu, Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff, and Dorin Comaniciu, Non-provisional US Patent Application 20090080747.
Method and System for Polyp Segmentation for 3D Computed Tomography Colonography, Le Lu, Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff, and Dorin Comaniciu, Non-provisional US Patent Application 20090074272.
INTERFACE UTILISATEUR POUR UNE ANNOTATION, UNE SEGMENTATION, ET UNE MESURE DE POLYPE EN COLOSCOPIE VIRTUELLE 3D, Le LU, A BARBU, M WOLF, S LAKARE, L BOGONI, M SALGANICOFF, D COMANICIU, WO Patent WO/2009/042,034
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Luca Bogoni, Marcos Salganicoff, and Dorin Comaniciu, "Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography", ECCV'2008: European Conference on Computer Vision, October, 2008, Marseille, France.
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Marcos Salganicoff, and Dorin Comaniciu, "Accurate Polyp Segmentation for 3D CT Colonography Using Multi-Staged Probabilistic Binary Learning and Compositional Model", CVPR'2008: IEEE Conference on Computer Vision and Pattern Recognition, June, 2008, Anchorage, USA.
Method and System for Detection and Registration of 3D Objects Using Incremental Parameter Learning, Adrian Barbu, Le Lu, Luca Bogoni, Marcos Salganicoff, and Dorin Comaniciu, Non-provisional US Patent Application 20080211812, US Patent Granted, 8068654#, 11/29/2011
Le Lu, "Image and
Video Exploration by Classification and Clustering Using Global and Local
Visual Features", PH.D. Thesis, Computer Science
Le Lu and Gregory D. Hager,
Nonparametric Treatment on Location/Segmentation Based Visual Tracking", CVPR'2007: IEEE
Conference on Computer Vision and Pattern Recognition (Oral), June, 2007,
Le Lu and Gregory D. Hager,
Background/Foreground Segmentation From Images and Videos using Random Patches", NIPS'2006: Neural
Information Processing and System,
Le Lu and Rene Vidal,
and Subspace Clustering on Computer Vision Applications",
ICML'2006: International Conference of Machine Learning, June 2006,
Le Lu, Xiangtian Dai and Gregory D. Hager, "Efficient Particle Filtering Using RANSAC with Application to 3D Face Tracking", Journal of Image and Vision Computing, vol 24, issue 6, pp.581-592, June 2006.
Le Lu, Kentaro Toyama and Gregory D. Hager, "A Two
Level Approach for Scene Recognition", CVPR'2005: IEEE
Computer Society Conference on Computer Vision and Pattern Recognition, June
Two lessons learned: Lesson 1 (Image patch level Modeling): There is no way, in general, to distinguish the scene category properly for every given image patch without contextual information. Even with contextual constraints, it is still a very difficult problem if working with a large amount of "real" customer pictures, not professional photos like CorelDraw database. We try to argue that a mixture probability density function is trainable for image patches with stability in terms of modeling/discrimination. For a high level, like scene recognition, task, we can further learn the importance of each patch based material class in proportion to its confusion factor across different scene categories. Lesson 2 (Both levels): Given a complex, high dimensional distribution of data samples, try to learn a mixture density model (considering smoothness offered by a density function) in an efficient and discriminative way f needed. For a recognition/classification task, try to integrate discriminative information within the overall generative (density) framework.
Le Lu, Gregory D. Hager and Laurent Younes, "A
Three Tiered Approach for Articulated Object Action Modeling and Recognition",
NIPS'2004: Neural Information Processing and
Le Lu, Xiangtian Dai and Gregory D. Hager, "A Particle
Filter without Dynamics for Robust 3D Face Tracking", IEEE
Workshop of Face Processing in Video jointed with CVPR'2004, June 2004,
Long Quan , Yichen Wei , Le Lu and Heung-Yeung Shum, "Constrained planar motion analysis by decomposition", Journal of Image and Vision Computing, vol 22, issue 5, pp. 379-389, May 2004.
Xiangtian Dai, Le Lu and Gregory D.
Video Mosaicing with Adaptive Parameterized Warping", Demo
Program, CVPR'2003: IEEE Computer Society Conference on Computer Vision
and Pattern Recognition, May 2003, Midson,
Le Lu and Hung-Tat Tsui, "Algebraic
Characteristic, Geometric Interpretation and Degeneracy Analysis of Planar
Motions, with Applications to Camera Self-calibration ", extended
version submitted to Journal of Pattern Recognition.
Le Lu and Hung-Tat Tsui, "Algebraic Characteristic and Geometric Interpretation of Planar Motions and their Applications to Camera Self-calibration", ACCV'2002: the 5th Asian Conference on Computer Vision, Jan. 2002,
Le Lu, Zhengyou Zhang, Heung-Yeung Shum, Zhicheng Liu and Hong Chen, Model- and Exemplar-based Robust Head Pose Tracking Under Occlusion and Varying Expression, IEEE Workshop on Models versus Exemplars in computer Vision jointed with CVPR'2001, Dec. 2001, Hawaii, USA.
Long Quan, Le Lu, Heung-Yeung Shum and M. Lhuillier, Concentric Mosaic(s), Planar Motion and 1D Cameras, ICCV'2001: The 8th international Conference on Computer Vision, pp.193-200, Jul. 2001, Vancouver, Canada.
Le Lu and Zhanyi Hu, "A New Factorization Technique for Projective Reconstruction", Chinese Journal of Electronics, (English Version), No.2, pp.196-202, Feb 2001.
Le Lu, Hung-Tat Tsui and Zhanyi Hu, "A Novel Planar Motion Detection Method and the Robust Estimation of 1D Trifocal Tensor", ICPR'2000: The 15th International Conference on Pattern Recognition, Vol. 3, pp.815-818, Sept. 2000, Barcelona, Spain. (ACM Library link)
Le Lu, Zhanyi Hu and Hung-Tat Tsui, "Sub-sequence
Factorization - an Efficient Approach for Projective Reconstruction",
ACCV'2000: The 4th Asian Conference on Computer Vision, pp.1052-1057,
Publications (Technical Report and Peer Reviewed Abstracts):
Le Lu, A. Barbu, M. Wolf, J. Liang, S. Lakare, L. Bogoni, M. Salganicoﬀ, D. Comaniciu, A. Krishnan, A Supervised Learning Approach for Fast and Accurate Polyp Segmentation/Measurement in Virtual Colonoscopy, MICCAI: Workshop on Computational and Visualization Challenges in the New Era of Virtual Colonoscopy, New York, USA, 2008. (15 Minutes Talk)
L. Bogoni, M. Wolf, A. Barbu, S. Lakare, M. Dundar, Le Lu, Learning-based Component for Suppression of False Positives located on the Ileo Cecal Valve: Evaluation of Performance on 802 CTC Cases, RSNA: Radiology Society of North America Annual Meeting, Chicago, USA, 2007. (12 Minutes Talk)
S. Lakare, M. Wolf, L. Bogoni, A. Barbu, M. Dundar, Le Lu, M. Salganicoﬀ, Evaluation of a Learning-based Component for Suppression of False Positives Located on the Ileo Cecal Valve or Rectal Tube, ISVC: the 9th International Symposium on Virtual Colonoscopy, Boston, 2007.
Le Lu, "Real-time Video Mosaicing
with Adaptive Parameterized Warping",
Computational Interaction and Robotics Lab, Technical report, Computer Science
Department, Johns Hopkins University, 2003. (example and code)
Image Analytics and Informatics, Siemens Corporate Research, 11/2011-now
Computer Aided Diagnosis Group, Siemens Medical Solutions, 11/2009-10/2011
Integrated Data Systems Dept., Siemens Corporate Research, Inc. 10/2006-11/2009
Computer Science Dept.,
Interactive Visual Media Group, Microsoft Research, Redmond, (Intern), 06/2004-08/2004
Visual Computing Group, Microsoft Research,
Electronic Engineering Dept.,
National Laboratory of Pattern Recognition,
Prof. Laurent Younes, Center of Imaging Science, Johns Hopkins university
Prof. Rene Vidal, Center of Imaging Science, Johns Hopkins University
Dr. Kentaro Toyama, Microsoft Research, summer 2004
Prof. Long Quan, HKUST, 2000
Dr. Zhengyou Zhang, Microsoft Research, 2000-2001
Harry Shum, Microsoft Research
Colleagues & Interns (collaborators):
Dr. Adrian Barbu (SCR->FSU), Dr. Jinbo Bi (SMS->UCONN), Dr. Matthias Wolf, Dr. Jianming Liang (SMS->ASU), Dr. Shipeng Yu, Dr. Yiqiang Zhan, Dr. Zhigang Peng, Dr. Maneesh Dewan, Dr. Dorin Comaniciu, Dr. Sean Xiang Zhou, Dr. Marcos Salganicoff, Dr. Arun Krishnan;
Albert Y.C. Chen (U of
Siemens Medical Solutions USA, Inc.