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Vision Problems from two face images? Stereo? Aging? Color from Gray? Face Recognition? Novel View
Rendering? More???
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We are looking for good
candidates for summer internships at Malvern, PA. Excellent experience in computer
vision, machine learning, statistical methods, and/or medical imaging is
preferred. If interested, please send an email to: le-lu at Siemens dot com,
with your resume.
I am now a staff scientist at Siemens
Computer Aided Diagnosis (CAD) Group, Siemens Medical Solutions at Malvern,
Pennsylvania. I worked as a research scientist in Siemens Corporate Research
(SCR), a Division of Siemens Corporation, Princeton, New Jersey from Oct. 2006
to Oct. 2009, closely collaborating with CAD group. I received my Ph.D. degree
of Computer Science from Johns Hopkins University in May 2007 and my advisor is
Prof. Gregory D. Hager. I interned twice at Microsoft Research in 2000~2001,
and 2004 summer with Dr. Harry Shum and Dr. Kentaro Toyama respectively.
Ph.D. in Computer Science,
MSE in Computer Science,
Graduate Student in Pattern Recognition
and Intelligent Systems, NLPR,
B.E. in ME & Automation Control,
Recent Talks:
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Talk at Computational and Visualization Challenges in the New Era of
Virtual Colonoscopy Meeting, MICCAI, Sept. 06, 2008, |
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RSNA Talk on ICV detection for |
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ICML
Talk on Clustering (International Conference of
Machine Learning, June 2006, Pittsburgh), (ppt, zip) |
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CVPR Talk on
Nonparametric Robust Visual Tracking (IEEE Conference on Computer Vision and
Pattern Recognition, June 2007, Minneapolis), (ppt,
zip) |
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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. |
Research Interests:
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Learning
based 3D Volumetric, Surface, Curve Parsing for Medical Diagnosis
Structure Parsing for Medical Imaging and Analysis (ICCV 2009, Ongoing)
Supervised Learning Approach for Medical Imaging and Analysis (CVPR
2008, ECCV 2008, 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
Nonmedical Applications (CVPR 2003 Demo)
Graphical Models and Tree-Structured Object Tracking
Publications (peer-refereed major conferences and
journals):
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2009
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, "Multi-level 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, London, UK.
User Interface for Polyp Annotation, Segmentation, and Measurement in 3D Computed Tomography Colonography, US Patent Application 20090080747, Le Lu, Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff, and Dorin Comaniciu.
Method and System for Polyp Segmentation for 3D Computed Tomography
Colonography, US Patent Application 20090074272, Le Lu,
Adrian Barbu, Matthias Wolf, Sarang Lakare, Luca Bogoni, Marcos Salganicoff,
and Dorin Comaniciu.
2008
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, US Patent Application 20080211812, Adrian Barbu, Le Lu, Luca Bogoni, Marcos Salganicoff,
and Dorin Comaniciu.
2007
Le Lu, "Image
and Video Exploration by Classification and Clustering Using Global and Local
Visual Features",
PH.D. Thesis, Computer Science Department, Johns Hopkins
University, Baltimore, Maryland, USA, April 2007. (ACM
Link)
Le Lu and Gregory
D. Hager, "A Nonparametric Treatment on
Location/Segmentation Based Visual Tracking", CVPR'2007: IEEE
Conference on Computer Vision and Pattern Recognition (Oral), June, 2007,
2006
Le Lu and Gregory
D. Hager, "Dynamic Background/Foreground Segmentation
From Images and Videos using Random Patches", NIPS'2006: Neural
Information Processing and System,
Le Lu and Rene
Vidal, "Combined
Central 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.
2005
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
2005,
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.
2004
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
System,
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,
2003
Xiangtian Dai, Le Lu and Gregory
D. Hager, "Real-time
Video Mosaicing with Adaptive Parameterized Warping", Demo
Program, CVPR'2003: IEEE Computer Society Conference on Computer Vision
and Pattern Recognition, May 2003, Midson,
2002
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,
2001
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,
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.
2000
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, Jan. 2000,
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)
Affiliations:
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Integrated
Data Systems Dept., Siemens Corporate Research, Inc. 10/2006-now
Computer
Science Dept., Johns Hopkins University, 08/2001-09/2006
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,
Mentors (collaborators):
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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 India, summer 2004
Prof. Long Quan, HKUST, 2000
Dr. Zhengyou Zhang, Microsoft Research, 2000-2001
Contacts:
Siemens Corporate Research, Inc.
Tel: 610-219-4369
Email: lelu@cs.jhu.edu