` Dorin Comaniciu   Dorin.Comaniciu AT siemens.com

Dorin received Ph.D. degrees in electrical engineering from the Polytechnic University of Bucharest in 1995 and from Rutgers University in 1999. Since 1999 he has been with Siemens Corporate Research in Princeton, first as member of technical staff, then as senior member of technical staff and manager of the Statistical Methods for Computer Vision Program. He is currently the head of the Integrated Data Systems Department. His research interests include robust methods for computer vision, motion estimation, nonparametric analysis, robust information fusion, medical imaging, biomedical informatics, content-based access to visual data, and integrated information modeling. He holds 19 US patents, has co-authored more than 70 patent applications, and more than 100 papers, conference papers, and book chapters in the area of visual information processing. He has received the Best Paper Award at the IEEE Conference on Computer Vision and Pattern Recognition 2000, is a co-author of an award nominated paper at the International Conference on Computer Vision 2001 and a co-author of the upcoming book Nonparametric Analysis of Visual Data: The Mean Shift Paradigm. For his innovations in the areas of medical imaging and intelligent vehicles he has received the 2004 Siemens Inventor of the Year Award, the highest technical recognition of Siemens AG worldwide. He leads the scientific direction of one of the largest European projects in biomedical informatics, Health-e-Child, and is one of the main architects of MEDICO, a project focussed on the next generation of semantic, scalable search engines for medical imaging. He serves as an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence.

Demos

• A nice outcome of our research in Princeton.
• Cool sequence showing the power of VBDF for tracking. Thanks to Bill Freeman and David Fleet for providing the data.
• Component-based face detection using statistical fusion. Read our DAGM'03 paper.
  
• Variable Bandwidth Density-based Fusion (VBDF). The most significant mode of the data is selected by mode tracking across scales. Read the CVPR'03 paper.
  
• The following tracking sequences run in real-time with a fraction of the computational power of a PC (1GHz). Read the PAMI'03 paper.
  

Algorithms

• B. Han, D. Comaniciu, Y. Zhu, L.S. Davis: Sequential Kernel Density Approximation: Application to Real-Time Visual Tracking, IEEE Trans. Pattern Analysis Machine Intell., 2007
   
• S.K. Zhou, D. Comaniciu: Shape Regression Machine, Information Processing in Medical Imaging (IPMI'07), Kerkrade, The Netherlands, 2007
   
• X.S. Zhou, D. Comaniciu, A. Gupta: An Information Fusion Framework for Robust Shape Tracking, IEEE Trans. Pattern Analysis Machine Intell.,Vol. 27, No. 1, 115-129, 2005
   
• D. Comaniciu: An Algorithm for Data-Driven Bandwidth Selection, IEEE Trans. Pattern Analysis Machine Intell., Vol. 25, No. 2, 281-288, 2003
   
• D. Comaniciu, P. Meer: Mean Shift: A Robust Approach toward Feature Space Analysis, IEEE Trans. Pattern Analysis Machine Intell., Vol. 24, No. 5, 603-619, 2002 Results
   
• D. Comaniciu, V. Ramesh, P. Meer: The Variable Bandwidth Mean Shift and Data-Driven Scale Selection, IEEE Int. Conf. Computer Vision (ICCV'01), Vancouver, Canada, Vol. 1, 438-445, 2001
   
• D. Comaniciu, P. Meer: Mean Shift Analysis and Applications, IEEE Int. Conf. Computer Vision (ICCV'99), Kerkyra, Greece, 1197-1203, 1999 slides

Biomedical Informatics

• J. Freund, D. Comaniciu, Y. Ioannis, P. Liu, R. McClatchey, E. Moley-Fletcher, X. Pennec, G. Pongiglione, X.S. Zhou: Health-e-Child: An Integrated Biomedical Platform for Grid-Based Pediatrics, Health-Grid, 2006;
   
• L. Wang, D. Comaniciu, D. Fasulo: Exploiting Interactions Among Polymorphisms Contributing to Complex Disease Traits with Boosted Generative Modeling, Journal Computational Biology, Vol. 13, No. 10, 1673-1684, 2006

Motion

• Y. Zhu, D. Comaniciu, M. Pellkofer, T. Koehler: Reliable Detection of Overtaking Vehicles Using Robust Information Fusion , IEEE Trans. Intelligent Transportation Systems, Vol. 7, No. 4, 401-414, 2006
   
• S.K. Zhou, J. Shao, B. Georgescu, D. Comaniciu: BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation, IEEE Int'l Conf. Computer Vision and Pattern Recognition, New York, NY, 2006
   
• B. Han, D. Comaniciu, Y. Zhu, L. Davis: Kernel-Based Bayesian Filtering for Object Tracking, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, 2005
   
• B. Han, D. Comaniciu, Y. Zhu, L. Davis: Incremental Density Approximation and Kernel-based Bayesian Filtering for Object Tracking, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'04), Washington, DC, 2004
   
• B. Georgescu, D. Comaniciu, T. Han, X.S. Zhou: Multi-Model Component-based Tracking using Robust Information Fusion, 2nd Workshop on Statistical Methods in Video Processing (with ECCV04), Prague, Czech Republic, 2004
   
• D. Comaniciu: Nonparametric Information Fusion for Motion Estimation, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'03), Madison, Wisconsin, Vol. 1, 59-66, 2003
   
• D. Comaniciu, V. Ramesh, P. Meer: Kernel-Based Object Tracking, IEEE Trans. Pattern Analysis Machine Intell., Vol. 25, No. 5, 564-575, 2003
   
• D. Comaniciu: Bayesian Kernel Tracking, Annual Conf. of the German Society for Pattern Recognition (DAGM'02), Zurich, Switzerland, 438-445, 2002
   
• D. Comaniciu, V. Ramesh, P. Meer: Real-Time Tracking of Non-Rigid Objects using Mean Shift, BEST PAPER AWARD, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'00), Hilton Head Island, South Carolina, Vol. 2, 142-149, 2000
   
• D. Comaniciu, V. Ramesh: Mean Shift and Optimal Prediction for Efficient Object Tracking, IEEE Int. Conf. Image Processing (ICIP'00), Vancouver, Canada, Vol. 3, 70-73, 2000
   
• D. Comaniciu, V. Ramesh: Robust Detection and Tracking of Human Faces with an Active Camera, IEEE Int. Workshop on Visual Surveillance, Dublin, Ireland, 11-18, 2000

Shape Tracking

• S.K. Zhou, J. Shao, B. Georgescu, D. Comaniciu: Pairwise Active Appearance Model and its Application to Echocardiography Tracking, Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Copenhagen, Denmark, LNCS 4190, 736-743, 2006
   
• D. Comaniciu, X.S. Zhou, S. Krishnan: Robust Real-Time Tracking of Myocardial Border: An Information Fusion Approach, IEEE Trans. Medical Imaging, Vol. 23, No. 7, 849-860, 2004
   
• B. Georgescu, X.S. Zhou, D. Comaniciu, B. Rao: Real-Time Multi-Model Tracking of Myocardium in Echocardiography using Robust Information Fusion, Int'l Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'04), France 2004
   
• X.S. Zhou, D. Comaniciu, R. Cruceanu, B. Xie, A. Gupta: A Unified Framework forUncertainty Propagation in Automatic Shape Tracking, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'04), Washington, DC, 2004
   
• X.S. Zhou, D. Comaniciu, S. Krishnan: Coupled-Contour Tracking through Non-orthogonal Projections and Fusion for Echocardiography, European Conf. Computer Vision (ECCV'04), Prague, Czech Republic, 2004
   
• X. Zhou, D. Comaniciu, S. Krishnan: An Information Fusion Framework for Robust Shape Tracking, 3rd Int. Workshop Statistical and Computational Theories of Vision, Nice, France, 2003

Object Detection / Classification

• S.K. Zhou, F. Guo, J. Park, G. Carneiro, J. Jackson, M. Brendel, C. Simopoulos, J. Otsuki, D. Comaniciu: A Probabilistic, Hierarchical and Discriminant Framework for Rapid and Accurate Detection of Deformable Anatomic Structures, IEEE Int'l Conf. Computer Vision (ICCV'07), Rio de Janeiro, Brazil, 2007
   
• J. Park, S.K. Zhou, J. Otsuki, C. Simopoulos, D. Comaniciu: Automatic Cardiac View Classification of Echocardiogram, IEEE Int'l Conf. Computer Vision (ICCV'07), Rio de Janeiro, Brazil, 2007
   
• A. Barbu, V. Athitsos, B. Georgescu, S. Boehm, P. Durlak, D. Comaniciu: Hierarchical Learning of Curves: Application to Guidewire Localization in Fluoroscopy, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, 2007
   
• S.K. Zhou, J. Zhou, D. Comaniciu: A Boosting Regression Approach to Medical Anatomy Detection, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, 2007
   
• J. Zhang, S.K. Zhou, L. McMillan, D. Comaniciu: Joint Real-Time Object Detection and Pose Estimation Using Probabilistic Boosting Network, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, 2007
   
• A. Barbu, L. Bogoni, D. Comaniciu: Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy, Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Copenhagen, Denmark, LNCS 4191, 462-470, 2006
   
• Z. Tu, X.S. Zhou, A. Barbu, L. Bogoni, D. Comaniciu: Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006
   
• S.K. Zhou, J.H. Park, B. Georgescu, C. Simopoulos, J. Otsuki, D. Comaniciu: Image-based multiclass boosting and echocardiographic view classification, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006
   

Segmentation / Clustering

• Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, D. Comaniciu: Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal space Learning and Steerable Features, IEEE Int'l Conf. Computer Vision (ICCV'07), Rio de Janeiro, Brazil, 2007
   
• W. Hong, B. Georgescu, X.S. Zhou, S. Krishnan, Y. Ma, D. Comaniciu: Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data, European Conf. Computer Vision (ECCV'06), Graz, Austria, 2006
   
• Z. Tu, X.S. Zhou, D. Comaniciu, L. Bogoni: A Learning Based Approach for 3D Segmentation and Colon Detagging, European Conf. Computer Vision (ECCV'06), Graz, Austria, 2006
   
• Y. Zheng, X.S. Zhou, B. Georgescu, S.K. Zhou, D. Comaniciu: Example Based Non-rigid Shape Detection, European Conf. Computer Vision (ECCV'06), Graz, Austria, 2006
   
• S.K. Zhou, B. Georgescu, X.S. Zhou, D. Comaniciu: Image-Based Regression Using Boosting Method, IEEE Int'l Conf. Computer Vision (ICCV'05), China, 2005
   
• B. Georgescu, S. Zhou, D. Comaniciu, A. Gupta: Database-Guided Segmentation of Anatomical Structures with Complex Appearance, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, 2005
   
• D. Comaniciu: Image Segmentation using Clustering with Saddle Point Detection, IEEE Int. Conf. Image Processing (ICIP'02), Rochester, NY, Vol. 3, 297-300, 2002
   
• D. Comaniciu, V. Ramesh, A. Del Bue: Multivariate Saddle Point Detection for Statistical Clustering, European Conf. Computer Vision (ECCV'02), Copenhagen, Denmark, Vol. 3, 561-576, 2002
   
• D. Comaniciu, V. Ramesh: Illumination Invariant Video Segmentation, 36th Conf. Information Sciences and Systems (CISS'02), Princeton NJ, 2002
   
• D. Comaniciu, P. Meer: Distribution Free Decomposition of Multivariate Data, (Invited), Pattern Analysis and Applications, Vol. 2, 22-30, 1999
   
• D. Comaniciu, P. Meer: Robust Analysis of Feature Spaces: Color Image Segmentation, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'97), San Juan, Puerto Rico, 750-755, 1997

Anisotropic Scale-Space

• K Okada, D. Comaniciu, A. Krishnan: Robust Anisotropic Gaussian Fitting for Volumetric Characterization of Pulmonary Nodules in Multislice CT, IEEE Trans. Medical Imaging, Vol. 24, No. 3, 409-423, 2005
   
• K Okada, D. Comaniciu, A. Krishnan: Scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'04), Washington, DC, 2004
   
• K Okada, D. Comaniciu, A. Krishnan: Robust 3D Segmentation of Pulmonary Nodules in Multislice CT Images, Int'l Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'04), France, 2004
   
• K. Okada, D. Comaniciu, N. Dalal, A. Krishnan: A Robust Algorithm for Characterizing Anisotropic Local Structures, European Conf. Computer Vision (ECCV'04), Prague, Czech Republic, 2004

Information Fusion

• D. Comaniciu: Robust Information Fusion using Variable-Bandwidth Density Estimation, 6th ISIF/IEEE Int. Conf. Information Fusion (Fusion'03), Cairns, Queensland, Australia, 2003
   
• B. Xie, D. Comaniciu, V. Ramesh, M. Simon, T. Boult: Component Fusion for Face Detection in the Presence of Heteroscedastic Noise, Annual Conf. of the German Society for Pattern Recognition (DAGM'03), Magdeburg, Germany, 434-441, 2003

Automotive

• Y. Zhu, D. Comaniciu, M. Pellkofer, T. Koehler: Passing Vehicle Detection from Dynamic Background using Robust Information Fusion, IEEE Int. Conf. Intelligent Transportation Systems (ITS'04), Washington, DC, 2004

Active Vision

• X.S. Zhou, D. Comaniciu, A. Krishnan: Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection, IEEE Int. Conf. Computer Vision (ICCV'03), Nice, France, 2003

Filtering

• D. Barash, D. Comaniciu: A Common Framework for Nonlinear Diffusion, Adaptive Smoothing, Bilateral Filtering and Mean Shift, Image and Video Computing, Vol. 22, No. 1, 73-81, 2004
   
• D. Barash, D. Comaniciu: A Common View Point on Broad Kernel Filtering and Nonlinear Diffusion, Int. Conf. Scale-Space Theories in Computer Vision, Isle of Skye, Scotland, 683-689, 2003

Modeling

• J. Xiao, B. Georgescu, X.S. Zhou, D. Comaniciu, T. Kanade: Simultaneous Registration and Modeling of Deformable Shapes, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006
   
• T. Chen, W. Yin, X.S. Zhou, D. Comaniciu, T.S. Huang: Total Variation Models for Variable Lighting Face Recognition, IEEE Trans. Pattern Analysis and Machine Intell., 2006
   
• T. Chen, W. Yin, X.S. Zhou, D. Comaniciu, T.S. Huang: Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, 2005
   
• O. Javed, M. Shah, D. Comaniciu: A Probabilistic Framework for Object Recognition in Video, IEEE Int'l Conf. Image Processing (ICIP'04), Singapore, 2004
   
• B. Han, D. Comaniciu, L. Davis: Sequential Kernel Density Approximation through Mode Propagation: Applications to Background Modeling, Asian Conf. Computer Vision (ACCV'04), Jeju Island, Korea, 2004
   
• Y. Zhu, D. Comaniciu, S. Schwartz, V. Ramesh: Multimodal Data Representations with Parameterized Local Structures, European Conf. Computer Vision (ECCV'02), Copenhagen, Denmark, Vol. 1, 173-189, 2002
   
• Y. Zhu, D. Comaniciu, V. Ramesh, S. Schwartz: Parametric Representations for Nonlinear Modeling of Visual data, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'01), Hawaii, Vol. 2, 553-560, 2001

Retrieval

• D. Comaniciu, P. Meer, D. Tyler: Dissimilarity Computation through Low Rank Corrections, Pattern Recognition Letters, Vol. 24, No. 1-3, 227-236, 2003
   
• K. Xu, B. Georgescu, D. Comaniciu, P. Meer: Performance Analysis in Content-based Retrieval with Textures, Int. Conf. on Pattern Recognition (ICPR'00), Barcelona, Spain, 2000

Systems

• D. Comaniciu, F. Berton, V. Ramesh: Adaptive Resolution System for Distributed Surveillance, Real Time Imaging, Vol. 8, No. 5, 427-437, 2002
   
• A. Del Bue, D. Comaniciu, V. Ramesh, C. Regazzoni: Smart Cameras with Real-Time Video Object Generation, IEEE Int. Conf. Image Processing (ICIP'02), Rochester, NY, Vol. 3, 429-432, 2002
   
• M. Greiffenhagen, D. Comaniciu, H. Niemann, V. Ramesh: Design, Analysis and Engineering of Video Monitoring Systems: An Approach and a Case Study, Proceedings of the IEEE on Third Generation Surveillance Systems, Vol. 89, No. 10, 1498-1517, 2001
   
• J. Rosca, S. Sudarsky, R. Balan, D. Comaniciu, Mobile Interaction with Remote Worlds: The Acoustic Periscope, AAAI Workshop Artificial Intelligence in Mobile Systems, Seattle, Washington, 2001
   
• M. Greiffenhagen, V. Ramesh, D. Comaniciu, Heinrich Niemann: Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'00), Hilton Head Island, South Carolina, Vol. 2, 335-342, 2000

Medical Imaging

• G. Carneiro, B. Georgescu, S. Good, D. Comaniciu: Automatic Fetal Measurements in Ultrasound using Constrained Probabilistic Boosting Tree, Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), Brisbane, Australia, 2007
   
• S. Lakare, A. Barbu, M. Dundar, M. Wolf; L. Bogoni, D. Comaniciu: Learning-based Component for Suppression of Rectal Tube False Positives: Evaluation of Performance on 780 CTC Cases, RSNA Scientific Sessions, Chicago, IL, 2006
   
• H. Tek, M. Berghtoldt, D. Comaniciu, J. Williams: Segmentation of 3D Medical Structures using Robust Ray Propagation, Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'02), Tokyo, Japan, Vol.1 , 572-579, 2002
   
• J. Williams, H. Tek, D. Comaniciu: 3-Dimensional Interactive Vascular Postprocessing Techniques: Industrial Perspective, (Invited), in Angiography and Plaque Imaging: Advanced Segmentation Techniques, Suri and Laxminarayan (Eds), CRC Press, 2002
   
• H. Tek, D. Comaniciu, J. Williams: Vessel Detection by Mean-Shift Based Ray Propagation, IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, Hawaii, 2001
   
• D. Comaniciu, P. Meer, D. Foran: Image Guided Decision Support System for Pathology, Machine Vision and Applications, Vol. 11, No. 4, 213-224, 2000
   
• D.J. Foran, D. Comaniciu, P. Meer, L.A. Goodell: Computer-Assisted Discrimination among Malignant Lymphomas and Leukemia, IEEE Trans. Information Technology in Biomedicine, Vol. 4, 265-273, 2000
   
• D. Comaniciu, P. Meer: Cell Image Segmentation for Diagnostic Pathology, (Invited), in Advanced Algorithmic Approaches to Medical Image Segmentation, Suri, Setarehdan, and Singh (Eds), ISBN: 1-85233-389-8, Springer, 2002

Compression

• D. Comaniciu, R. Grisel: Image Coding using Transform Vector Quantization with Training Set Synthesis, Signal Processing, Vol. 82, No. 11, 1649-1663, 2002

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