(转载)机器视觉方向研究人员主页汇集
源地址:http://www.aiseminar.cn/bbs/viewthread.php?tid=454
在此把研究图像、视频等机器视觉方面的人员和专家主页汇集到这里,希望能方便学习和交流。希望有知情者回帖提供相关主页。
Paul Viola
http://research.microsoft.com/en-us/um/people/viola/
Before moving to Search, Paul and his team worked on numerous efforts to
use machine learning in the analysis of documents, emails, and web
pages. Results of this work can be seen in products like Windows, Live
Search, and Microsoft Dynamics.
Yang Ran
http://www.cfar.umd.edu/~rany
Research Area: Object Detection/Tracking/Classification/Recognition in Video Acquired from Moving Platforms.
S. Kevin Zhou
http://www.cfar.umd.edu/~shaohua/
Research interest lies in statistical signal/image processing, computer
vision and machine learning, with their applications to biomedical image
analysis (especially biomedical image context learning), biometrics and
surveillance (especially face and gait recognition), etc.
Seth Benton
http://www.sethbenton.com
Writing/editing professional with engineering background
补充:是自由作家?但是我在其写作经历中看到不少关于视频跟踪和监视相关的文章,并含有源代码。暂列视觉科研者之列。
S. Shankar Sastry
http://robotics.eecs.berkeley.edu/~sastry/
My areas of research are embedded and autonomous software, computer
vision, and computation in novel substrates such as DNA, nonlinear and
adaptive control, robotic telesurgery, control of hybrid systems,
embedded systems, sensor networks and biological motor control. Please
visit the following websites for more information regarding my research
interest.
Xavier Bresson
http://www.math.ucla.edu/~xbresson/
Ph.D. in Applied Mathematics to Image Processing in 2005 at the Swiss Federal Institute of Technology (EPFL), Switzerland.
Postdoctoral Scholar in the U.S. at UCLA in the Math Dept, working with Prof. Tony Chan and Prof. Stanley Osher.
Field of research is mathematical modeling (variational models,
non-linear PDEs, and continuous optimization techniques) for Image
Processing (image segmentation, image denoising, geometry processing),
medical imaging and machine learning.
Dorin Comaniciu
http://www.caip.rutgers.edu/~comanici/Dorin received Ph.D. degrees in electrical engineering from the Polytechnic University of Bucharest in 1995 and Rutgers University in 1999. He has since been with Siemens Corporate Research, serving both as a scientist and manager. Since 2004 he is the head of the Integrated Data Systems Department, with offices in Princeton, New Jersey and Erlangen, Germany. Under his leadership the department has quadrupled in size, by refocusing on disruptive and high impact research. Dorin's scientific interests include robust computer vision, motion estimation, information fusion, discriminative methods for medical imaging, biomedical informatics, and content-based access to visual data. He holds 41 US patents, has co-authored more than 100 patent applications, and more than 160 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 and is 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 has been featured in the book Innovative Minds and has given numerous invited speeches. Dorin 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 focused on the next generation of semantic, scalable search engines for medical imaging. He served as an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (2006-2008) and is now an Associate Editor of IEEE Transactions on Medical Imaging.
Selected Publications:
Algorithms
- B. Han, Y. Zhu, D. Comaniciu, L.S. Davis: Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework, IEEE Trans. Pattern Analysis Machine Intell., Vol. 31, No. 5, 919-930, 2009
- R. Ionasec, Y. Wang, B. Georgescu, I. Voigt, N. Navab, D. Comaniciu: Robust Motion Estimation using Trajectory Spectrum Learning: Application to Aortic and Mitral Valve Modeling from 4D TEE, IEEE Int'l Conf. Computer Vision and Pattern Recognition (ICCV'09), Kyoto, Japan, 2009
- Y. Zheng, B. Georgescu, D. Comaniciu: Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images, Information Processing in Medical Imaging (IPMI'09), Williamsburg, VA, 2009
- S. Seifert, A. Barbu, S.K. Zhou, D. Liu, J. Feulner, M. Huber, M. S�hling, A. Cavallaro, D. Comaniciu: Hierarchical Parsing and Semantic Navigation of Full Body CT Data, SPIE Medical Imaging, Orlando, FL, 2009
- Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, D. Comaniciu: Four-Chamber Heart Modeling and Automatic Segmentation for 3D Cardiac CT Volumes using Marginal Space Learning and Steerable Features, IEEE Trans. Medical Imaging, Vol. 27, No. 11, 1668-1681, 2008
- G. Carneiro, B. Georgescu, S. Good, D. Comaniciu: Detection of Fetal Anatomies from Ultrasound Images using Constrained Probabilistic Boosting Tree, IEEE Trans. Medical Imaging, 2008
- 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
- W. Zhang, H. Ling, S. Prummer, K.S. Zhou, M. Ostermeier, D. Comaniciu: Coronary Tree Extraction using Motion Layer Separation, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK
- Y. Zhu, S. Prummer, P. Wang, T. Chen, M. Ostermeier, D. Comaniciu: Dynamic Layer Separation for Coronary DSA and Enhancement in Fluoroscopic Sequences, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK
- 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., 2008
- 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 (CVPR'06), 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
- L. Yang, B. Georgescu, Y. Zheng, P. Meer, D. Comaniciu: 3D Ultrasound Tracking of the Left Ventricles Using One-Step Forward Prediction and Data Fusion of Collaborative Trackers, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
- L. Yang, B. Georgescu, Y. Zheng, D.J. Foran, D. Comaniciu: A Fast and Accurate Tracking Algorithm of Left Ventricle in 3D Echocardiography, IEEE Int'l Symposium Biomedical Imaging (ISBI'08), Paris, France, 2008
- 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
- X. Lu, B. Georgescu, A. Littmann, E. Mueller, D. Comaniciu: Discriminative Joint Context for Automatic Landmark Set Detection from a Single Cardiac MR Long Axis Slice, Functional Imaging and Modeling of the Heart (FIMH), Nice, France, 457-465, 2009
- Y. Zheng, X. Lu, B. Georgescu, A. Littmann, E. Mueller, D. Comaniciu: Robust Object Detection using Marginal Space Learning and Ranking-Based Multi-Detector Aggregation: Application to Left Ventricle Detection in 2D MRI Images, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'09), Miami, FL, 2009
- S. Feng, S.K. Zhou, S. Good, D. Comaniciu: Automatic Fetal Face Detection from Ultrasound Volumes via Learning 3D and 2D Information, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'09), Miami, FL, 2009
- Y. Zheng, B. Georgescu, H. Lingm S.K. Zhou, M. Scheuering, D. Comaniciu: Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'09), Miami, FL, 2009
- X. Lu, B. Georgescu, Y. Zheng, J. Otsuki, D. Comaniciu: Automatic Detection of Standard Planes in 3D Echocardiography, IEEE Int'l Symposium Biomedical Imaging (ISBI'08), Paris, France, 2008
- 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
- T. Chen, W. Zhang, S. Good, K.S. Zhou, D. Comaniciu: Automatic Ovarian Follicle Quantification from 3D Ultrasound Data Using Global/Local Context with Database Guided Segmentation, IEEE Int'l Conf. Computer Vision (ICCV'09), Kyoto, Japan, 2005
- M. Wels, Y. Zheng, G. Carneiro, M. Huber, J. Hornegger, D. Comaniciu: Fast and Robust 3D MRI Brain Structure Segmentation, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK
- J. Feulner, S.K. Zhou, A. Cavallaro, S. Seifert, J. Hornegger, D. Comaniciu: Segmentation of the Esophagus from 3D CT Data using a Probabilistic Model, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK
- J. Zhang, S.k. Zhou, L. McMillan, D. Comaniciu: Discriminative Learning for Deformable Shape Segmentation: A Comparative Study, European Conf. Computer Vision (ECCV'08), Marseille, France, 2008
- M. Wels, G. Carneiro, A. Aplas, D. Comaniciu, J. Hornegger: A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'08), New York, NY 2008
- H. Ling, Y. Zheng, B. Georgescu, S.K. Zhou, M. Suehling, D. Comaniciu: Hierarchical Learning-based Automatic Liver Segmentation, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
- L. Lu, A. Barbu, M. Wolf, J. Liang, M. Salganicoff, D. Comaniciu: Accurate Polyp Segmentation for 3D CT Colonography uSing Multi-Staged Probabilistic Binary Learning and Compositional Model, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
- J. Zhang, S.K. Zhou, D. Comaniciu, M. Leonard: Conditional Density Learning via Regression with Application to Deformable Shape Segmentation, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
- R. Socher, A. Barbu, D. Comaniciu: A Learning-Based Hierarchical Model for Vessel Segmentation, IEEE Int'l Symposium Biomedical Imaging (ISBI'08), Paris, France, 2008
- 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
- 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
- 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
- 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
- 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
- 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
- R. Ionasec, I. Voigt, B. Georgescu, Y. Wang, H. Houle, J. Hornegger, N. Navab, D. Comaniciu: Personalized Modeling and Assessment of the Aortic-Mitral Valve Coupling from 4D TEE and CT, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK, 2009
- D. Vitanovski, R. Ionasec, B. Georgescu, M. Huber, A. Taylor, J. Hornegger, D. Comaniciu: Personalized Pulmonary Trunk Modeling for Intervention Planning and Valve Assessment Estimated from CT Data, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK, 2009
- R. Ionasec, B. Georgescu, E. Gassner, S. Vogt, O. Kutter, M. Scheuering, N. Navab, D. Comaniciu: Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'08), New York, NY 2008
- 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
- 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
- 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
- L.Lu, A. Barbu, M. Wolf, J. Liang, L. Bogoni, M. Salganicoff, D. Comaniciu: Simultaneous Detection and Registration for Ileocecal Valve Detection in 3D CT Colonography, European Conf. Computer Vision (ECCV'08), Marseille, France, 2008
- J.H. Park, S.K. Zhou, D. Comaniciu: Automatic Mitral Valve Inflow Measurements from Doppler Echocardiography, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'08), New York, NY 2008
- J.H. Park, S.K. Zhou, D. Comaniciu: AutoGate: Fast and Automatic Doppler Gate Localization in B-Mode Echocardiogram, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'08), New York, NY 2008
- G. Carneiro, F. Amat, B. Georgescu, S. Good, D. Comaniciu: Semantic-based Indexing of Fetal Anatomies from 3-D Ultrasound Data Using Global/Semi-local Context and Sequential Sampling, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
- 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
- D. Comaniciu, R. Grisel: Image Coding using Transform Vector Quantization with Training Set Synthesis, Signal Processing, Vol. 82, No. 11, 1649-1663, 2002
Anil K. Jain
http://www.cse.msu.edu/~jain/3115 Engineering Building, Michigan State University
East Lansing, Michigan 48824-1226
Tel: (517) 355-9282, Fax: (517) 432-1061
Email: jain@cse.msu.edu
Anil
K. Jain is a University Distinguished Professor in the Departments of
Computer Science & Engineering, and Electrical & Computer
Engineering at Michigan State University. He received a B.Tech. from
IIT, Kanpur (1969) and Ph.D. from Ohio State University (1973). His
research interests include pattern recognition, computer vision and
biometric recognition. His articles on biometrics have appeared in Scientific American, Nature, IEEE Spectrum, Comm. ACM, IEEE Computer1,2, Proc. IEEE1,2, Encarta, Scholarpedia, and MIT Technology Review. He has received a number of awards, including Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award (2003), W. Wallace McDowell award (2007), IAPR King-Sun Fu Prize (2008), and ICDM 2008 Research Contribution Award for contributions to pattern recognition and biometrics. He also received the best paper awards from the IEEE Trans. Neural Networks (1996) and the Pattern Recognition journal (1987, 1991, 2005). He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence (1991-1994). He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE. Holder of six patents in the area of fingerprints (transferred to IBM in 1999), he is the author of several books: Handbook of Biometrics (2007), Handbook of Multibiometrics (2006), Handbook of Face Recognition (2005), Handbook of Fingerprint Recognition (2003) (received the PSP award from the Association of American Publishers), Markov Random Fields: Theory and Applications (1993), and Algorithms For Clustering Data (1988). ISI has designated him as a highly cited researcher (his h-index is 58). According to CiteSeer, his book, Algorithms for Clustering Data is ranked # 91 in the Most Cited Articles in Computer Science (over all times) and his paper "Data Clustering: A Review" (ACM Computing Surveys, 1999) is consistently ranked in the Top 10 Most Popular Magazine and Computing Survey Articles Downloaded. He is an Associate Editor of the IEEE Trans. Information Forensics and Security and ACM Trans. Knowledge Discovery in Data. He is a member of the Defense Science Board Summer study on Capability Surprise and The National Academies committees on Whither Biometrics and Improvised Explosive Devices. He has been nominated to the Defense Science Board. |
Anil Jain's Vita in [PDF].
Kristen Grauman
http://userweb.cs.utexas.edu/~grauman/
Clare Boothe Luce Assistant Professor
Microsoft Research New Faculty Fellow
Department of Computer Sciences
University of Texas at Austin
"I am an assistant professor in the Department of Computer Sciences at
the University of Texas at Austin, where I lead the Computer Vision
Research Group. I received my Ph.D. from MIT in the Computer Science
and Artificial Intelligence Laboratory (2006). "
"My research interests are in computer vision and machine learning. In
general, the goal of computer vision is to develop the algorithms and
representations that will allow a computer to autonomously analyze
visual information. I am especially interested in learning and
recognizing visual object categories, and scalable methods for
content-based retrieval and visual search."
另附水木清华的一段评价:
发信人: mean6 (hoho), 信区: AI
标 题: 这个美女牛人的简历挺佩服的
发信站: 水木社区 (Wed Mar 3 09:02:51 2010), 站内
http://www.cs.utexas.edu/~grauman/grauman_cv.pdf
2010 6片cvpr,2片oral
自己mit博士期间,10多篇一作cvpr,iccv
是我见过最牛的了,哎差距啊
Kenji Okuma
http://www.cs.ubc.ca/~okumak/
Computer Science Department
2366 Main Mall
University of British Columbia
Vancouver, B.C., Canada V6T 1Z4
Research Interest
I am interested in Computer Vision and Machine Learning. At present, I
specifically focus my research on probabilistic object tracking and
general object recognition.
Rainer Lienhart, Ph.D, Professor
主页:http://www.lienhart.de/Prof. Dr. Rainer Lienhart, Head of Multimedia Computing
Institut für Informatik, Universität Augsburg
Eichleitnerstr. 30, D-86135 Augsburg, Germany
Email: Rainer.Lienhart@informatik.uni-augsburg.de
Phone : +49 (716) 242 23465
WWW: www.videoanalysis.org/mmc/
Research Interests
include image/video/audio content analysis, machine learning, scalable signal processing, scalable learning, scalable and adaptive algorithms, ubiquitous and distributed media computing in heterogeneous networks, and peer-to-peer networking and mass media sharing.
Journal Papers
Vikas Raykar, Igor Kozintsev, Rainer Lienhart. Position Calibration of Microphones and Loudspeakers in Distributed Computing Platforms. IEEE Transactions on Speech and Audio Processing, Vo. 13, No. 1, pp. 70-83, Jan. 2005. [PDF: 613KB]
Rainer Lienhart and Alexander Hartmann. Classifying images on the web automatically. Journal of Electronic Imaging 11(4), pp. 445-454, October 2002.
Rainer Lienhart and Axel Wernicke. Localizing and Segmenting Text in Images, Videos and Web Pages. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 12, No.4, pp. 256 -268, April 2002.
Rainer Lienhart, Matthew Holliman, Yen-Kuang Chen, Igor Kozintsev, and Minerva Yeung. Improving Media Services on P2P Networks. IEEE Internet Computing, pp. 73-77, Jan./Feb. 2002.
Rainer Lienhart. Reliable Transition Detection In Videos: A Survey and Practitioner's Guide. International Journal of Image and Graphics (IJIG), Vol. 1, No. 3, pp. 469-486, 2001.
Rainer Lienhart. Smart Media Management. OEMagazine, Vol. 1, No. 7, pp. 24-27, July 2001.
Silvia Pfeiffer, Rainer Lienhart and Wolfgang Effelsberg. Scene Determination based on Video and Audio Features. Vol. 15, pp. 59-81, 2001.
Rainer Lienhart and Wolfgang Effelsberg. Automatic Text Segmentation and Text Recognition for Video Indexing. ACM/Springer Multimedia Systems, Vol. 8. pp.69-81, January 2000; also Technical Report TR-98-009, Praktische Informatik IV, University of Mannheim, May 1998.
Rainer Lienhart, Wolfgang Effelsberg, and Ramesh Jain. VisualGREP: A Systematic Method to Compare and Retrieve Video Sequences. Multimedia Tools and Applications, Kluwer Academic Publishers, 10 (1):47-72, January 2000.
Rainer Lienhart, Silvia Pfeiffer, and Wolfgang Effelsberg. Video Abstracting. Communications of the ACM, Vol. 40, No. 12, pp.55-62, December 1997. [PDF : 132 KB]
Silvia Pfeiffer, Rainer Lienhart, Stephan Fischer and Wolfgang Effelsberg, Abstracting Digital Movies Automatically, Journal of Visual Communication and Image Representation, Vol. 7, No. 4, pp.345-353, December 1996.