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Research:

Heteroscedasticity
Robust Analysis
Bootstrap
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Publications (1996-present)


*Journal Papers
*Book Chapters
*Conference Proceedings

Journal Papers

Xiang Yang, P. Meer: Robust Estimation of Multiple Inlier Structures.
arxiv.org, In the archive: 1609.06371, September 20, 2016.

M. Baltaxe, P. Meer, M. Lindenbaum: Local Variation as a Statistical Hypothesis Test.
International Journal on Computer Vision, 117 , 131-141, 2016.

S. Anand, S. Mittal, O. Tuzel, P. Meer: Semi-Supervised Kernel Mean Shift Clustering.
IEEE Trans. Pattern Anal. Machine Intell., 36, 1201-1215, 2014.

S. Mittal, S. Anand, P. Meer: Generalized Projection Based M-Estimator.
IEEE Trans. Pattern Anal. Machine Intell., 34, 2351-2364, 2012.

P. Meer: Are we making real progress in computer vision today?
Image and Vision Computing, 30, 472-473, 2012.

S. Mittal, P. Meer: Conjugate gradient on Grassmann manifolds for robust subspace estimation.
Image and Vision Computing, 30, 417-427, 2012.

Lin Yang, B. Georgescu, Yefeng Zheng, Yang Wang, P. Meer, D. Comaniciu: Predication based collaborative trackers (PCT): A robust and accurate approach toward 3D medical object tracking.
IEEE Transactions on Medical Imaging, 30, 1921-1932, 2011.

R. Subbarao, P. Meer: Nonlinear Mean Shift over Riemannian Manifolds .
International Journal on Computer Vision, 84, 1-20, 2009.

Lin Yang, Wenjin Chen, P. Meer, G. Salaru, L.A. Goodell, V. Berstis, D.J. Foran: Virtual Microscopy and Grid-enabled Decision Support for Large Scale Analysis of Imaged Pathology Specimens.
IEEE Transactions on Information Technology in BioMedicine, 13, 636-644, 2009.

Lin Yang, O. Tuzel, Wenjin Chen, P. Meer, G. Salaru, L.A. Goodell, A. Bagg, D.J. Foran: PathMiner: A Web Based Tool for Computer Assisted Diagnostics in Pathology.
IEEE Transactions on Information Technology in BioMedicine, 13, 291-299, 2009.

O. Tuzel, F. Porikli, P. Meer: Pedestrian Detection via Classification on Riemannian Manifolds.
IEEE Trans. Pattern Anal. Machine Intell. , 30, 1713-1727, 2008.

O. Tuzel, L. Yang, P. Meer, D.J. Foran: Classification of hematologic malignancies using texton signatures.
Pattern Analysis and Applications, 10, 277-290, 2007.

B. Matei, P. Meer: Estimation of nonlinear errors-in-variables models for computer vision applications.
IEEE Trans. Pattern Anal. Machine Intell. , 28, 1537-1552, 2006.

L. Yang, P. Meer, D.J. Foran: Unsupervised segmentation based on robust estimation and color active contour models.
IEEE Trans. Information Technology in Biomedicine,9, 475-486, 2005.

Wenjin Chen, P. Meer, B. Georgescu, Wei He, L. A. Goodell, D.J. Foran: Image mining for investigative pathology using optimized feature extraction and data fusion.
Computer Methods and Programs in Biomedicine, 79, 59-72, 2005.

H. Chen, P. Meer: Robust fusion of uncertain information.
IEEE Trans. Systems, Man, Cybernetics-Part B,35, 578-586, 2005.

B. Georgescu, P. Meer: Point Matching Under Large Image Deformations and Illumination Changes.
IEEE Trans. Pattern Anal. Machine Intell.,26, 674-689, 2004.

D. Comaniciu, V. Ramesh, P. Meer: Kernel-based object tracking.
IEEE Trans. Pattern Anal. Machine Intell., 25, 564-577, 2003.

D. Comaniciu, P. Meer, D.E. Tyler: Dissimilarity computation through low rank corrections.
Pattern Recognition Letters, 24, 227-236, 2003.

D. Comaniciu, P. Meer: Mean shift: A robust approach toward feature space analysis.
IEEE Trans. Pattern Anal. Machine Intell., 24, 603-619, 2002.

P. Meer, B. Georgescu: Edge detection with embedded confidence.
IEEE Trans. Pattern Anal. Machine Intell, 23, 1351-1365, 2001.

P. Meer, C.V. Stewart, D.E. Tyler: Robust computer vision: An interdisciplinary challenge.
Computer Vision and Image Understanding , 78, 1-7, 2000.

Y. Leedan, P. Meer: Heteroscedastic regression in computer vision: Problems with bilinear constraint.
International Journal on Computer Vision, 37, 127-150, 2000.

D. Comaniciu, P. Meer, D. Foran: Image guided decision support system for pathology.
Machine Vision and Applications, 11, 213-224, 1999.

D. Comaniciu, P. Meer: Distribution free decomposition of multivariate data.
(Invited paper) Pattern Analysis and Applications, 2, 22-30, 1999.

M. Garza-Jinich, P. Meer, V. Medina: Robust retrieval of 3D structures from image stacks.
Medical Image Analysis, 3, 21-35, 1999.

R. Lenz, P. Meer, M. Hauta-Kasari: Spectral based illumination estimation and color correction.
Color Research and Application, 24, 98-111, 1999.

K.-M. Lee, P. Meer, R.-H. Park: Robust adaptive segmentation of range images.
IEEE Trans. Pattern Anal. Machine Intell, 20, 200-205, 1998.

P. Meer, R. Lenz, S. Ramakrishna: Efficient invariant representations.
International Journal on Computer Vision, 26, 137-152, 1998.

K. Cho, P. Meer, J. Cabrera: Performance assessment through bootstrap.
IEEE Trans. Pattern Anal. Machine Intell, 19, 1185-1198, 1997.

K. Cho, P. Meer: Image segmentation from consensus information.
Computer Vision and Image Understanding, 68, 72-89, 1997.

D. Foran, P. Meer, T. Papathomas, I. Marsic: Compression guidelines for diagnostic telepathology.
IEEE Trans. on Information Technology in Biomedicine, 1, 55-60, 1997.

J. Cabrera, P. Meer: Unbiased estimation of ellipses by bootstrapping.
IEEE Trans. Pattern Anal. Machine Intell., 18, 752-756, 1996.

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Book Chapters

S. Anand, S. Mittal, P. Meer: Robust estimation for computer vision using Grassmann manifolds.
Riemannian Computing in Computer Vision. , Co-editors: P.K. Turaga and A. Srivastava. Springer. Chapter 6. 125-144, 2016.

P. Meer, S. Mittal: Robust methods.
Computer Vision. A Reference Guide. , Editor-in-Chief: K. Ikeuchi. Two volumes. Springer, 2014, 691-697.

I. Shimshoni, B. Georgescu, P. Meer: Adaptive mean shift based clustering in high dimensions.
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice , NIPS workshop series, G. Shakhnarovich, P. Indyk, T. Darrell (Eds.), MIT Press, Cambridge, MA, 2006, 203-220.

P. Meer: Robust techniques for computer vision..
Emerging Topics in Computer Vision , G. Medioni and S. B. Kang (Eds.), Prentice Hall, 2004, 107-190.

P. Meer: From a robust hierarchy to a hierarchy of robustness.
Foundations of Image Analysis , L.S. Davis (Ed.), Kluwer, 2001, 323-347.

D. Comaniciu, P. Meer: Cell image segmentation for diagnostic pathology.
Advanced Algorithmic Approaches to Medical Image Segmentation: State-Of-The-Art Applications in Cardiology, Neurology, Mammography and Pathology . J. Suri, S. Singh and K. Setarehdan (Eds.), Springer, 2001, 541-558.

B. Matei, P. Meer: Bootstrapping errors-in-variables models.
Vision Algorithms: Theory and Practice, B. Triggs, A. Zisserman, R. Szeliski (Eds), Springer, 2000, 236-252.

P. Meer, B. Matei, K. Cho: Input guided performance evaluation.
Performance Characterization in Computer Vision, R. Klette, H.S. Stiehl, M. Viergever, K.L. Vincken (Eds.), Kluwer, Amsterdam, 2000, 115-124.

B. Matei, P. Meer, D. Tyler: Performance assessment by resampling: Rigid motion estimators.
Empirical Evaluation Techniques in Computer Vision, K.W. Bowyer, P.J. Phillips (Eds.), IEEE CS Press, Los Alamitos, CA, 1998, 72-95.

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Conference Proceedings

B.M. Kelm, S. Mittal, Yefeng Zheng, A. Tsymbal, D. Bernhardt, F. Vega-Higuera, S. Kevin Zhou, P. Meer, D. Comaniciu: Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography.
MICCAI 2011, the 14th International Conference on Medical Image Computing and Computer Assisted Intervention, Toronto, Canada, September 2011, vol. 6893, 25-32.

S. Mittal, S. Anand, P. Meer: Generalized Projection Based M-Estimator: Theory and Applications.
2011 Computer Vision and Pattern Recognition Conference, Colorado Springs, CO, June 2011, 2689-2696.

S. Mittal, Yefeng Zheng, B. Georgescu, F. Vega-Higuera, Shaohua Kevin Zhou, P. Meer, D. Comaniciu: Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images.
International Workshop on Machine Learning in Medical Imaging (MLMI), in conjunction with MICCAI 2010. Beijing, China, September 2010. Springer, Lecture Note in Computer Science, LNCS-6357, 1-9.

Baiyang Liu, Lin Yang, Junzhou Huang, P. Meer, Leiguang Gong, C. Kulikowski: Robust and Fast Visual Tracking with Two Stage Sparse Optimization.
11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 2010.

O. Tuzel, F. Porikli, P. Meer: Kernel Methods for Weakly Supervised Mean Shift Clustering.
12th IEEE International Conference on Computer Vision, Kyoto, Japan, September 2009, 48-55.

Lin Yang, O. Tuzel, P. Meer, D.J. Foran: Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph.
11th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , New York City, USA, September 2008; Springer, LNCS 5241, Part I, 833-841, 2008.

O. Tuzel, F. Porikli, P. Meer: Learning on Lie Groups for Invariant Detection and Tracking.
2008 Computer Vision and Pattern Recognition Conference, Anchorage, Alaska, June 2008.

R. Subbarao, Y. Genc, P. Meer: Robust Unambiguous Parametrization of the Essential Manifold.
2008 Computer Vision and Pattern Recognition Conference, Anchorage, Alaska, June 2008.

Lin Yang, B. Georgescu, Yefeng Zheng, P. Meer, D. Comaniciu: 3D Ultrasound tracking of the left ventricles using one-step forward prediction and data fusion of collaborative trackers.
2008 Computer Vision and Pattern Recognition Conference , Anchorage, Alaska, June 2008.

Lin Yang, Wenjin Chen, P. Meer, G. Salaru, M.D. Feldman, D.J. Foran: High throughput analysis of breast cancer specimens on the grid.
10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , Brisbane, Australia, November 2007, Springer, LNCS 4791, 617-624.

Lin Yang, P. Meer, D.J. Foran: Multiple class segmentation using a unified framework over mean-shift patches.
2007 Computer Vision and Pattern Recognition Conference, Minneapolis, Minnesota, June 2007.

R. Subbarao, P. Meer: Discontinuity Preserving Filtering over Analytic Manifolds.
2007 Computer Vision and Pattern Recognition Conference, Minneapolis, Minnesota, June 2007.

O. Tuzel, F. Porikli, P. Meer: Human Detection via Classification on Riemannian Manifolds.
2007 Computer Vision and Pattern Recognition Conference, Minneapolis, Minnesota, June 2007.
RUNNER-UP BEST PAPER AWARD.

R. Lenz, P. Latorre Carmona, P. Meer: The hyperbolic geometry of illumination induced chromaticity changes.
2007 Computer Vision and Pattern Recognition Conference, Minneapolis, Minnesota, June 2007.

R. Subbarao, Y. Genc, P. Meer: Nonlinear Mean Shift for Robust Pose Estimation.
8th IEEE Workshop on Applications of Computer Vision, Austin, TX, February 2007.

R. Subbarao, P. Meer: Beyond RANSAC: User Independent Robust Regression.
Workshop on 25 Years of RANSAC, New York, NY, June 2006 (in conjunction with CVPR'06).

F. Porikli, O.Tuzel, P. Meer: Covariance Tracking using Model Update Based on Means on Riemannian Manifolds.
2006 Computer Vision and Pattern Recognition Conference, New York City, NY, June 2006, vol. I, 728-735.

R. Subbarao, P. Meer: Nonlinear mean shift for clustering over analytic manifolds.
2006 Computer Vision and Pattern Recognition Conference, New York City, NY, June 2006, vol. I, 1168-1175.

O. Tuzel, F. Porikli, P. Meer: Region covariance: A fast descriptor for detection and classification.
9th European Conference on Computer Vision, Graz, Austria, May 2006, vol. II, 589-600.

R. Subbarao, P. Meer: Subspace estimation using projection based M-estimators over Grassmann manifolds.
9th European Conference on Computer Vision, Graz, Austria, May 2006, vol. I, 301-312.

O. Tuzel, R. Subbarao, P. Meer: Simultaneous multiple 3D motion estimation via mode finding on Lie groups.
10th IEEE International Conference on Computer Vision, Beijing, China, October 2005, vol. I, 18-25.

R. Subbarao, P. Meer, Y. Genc: A balanced approach to 3D tracking from image streams.
4th IEEE and ACM International Symposium on Mixed and Augmented Reality., Vienna, Austria, October 2005, 70-78.

O. Tuzel, F. Porikli, P. Meer: A Bayesian approach to background modeling.
IEEE International Workshop on Machine Vision for Intelligent Vehicles , San Diego, CA, June 2005 (in conjunction with CVPR'05)

R. Subbarao, P. Meer: Heteroscedastic projection based M-estimators.
Workshop on Empirical evaluation Methods in Computer Vision, San Diego, CA, June 2005 (in conjunction with CVPR'05).

H. Chen, I. Shimshoni, P. Meer: Model based object recognition by robust information fusion.
17th International Conference on Pattern Recognition, Cambridge, United Kingdom, August 2004, vol. III:57-60.

B. Georgescu, I. Shimshoni, P. Meer: Mean shift based clustering in high dimensions: A texture classification example.
9th International Conference on Computer Vision, Nice, France, October 2003, 456-463.

H. Chen, P. Meer: Robust regression with projection based M-estimators.
9th International Conference on Computer Vision, Nice, France, October 2003, 878-885.

H. Chen, P. Meer: Robust fusion of uncertain information.
IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 2003.

C. M. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.
16th International Conference on Pattern Recognition., Quebec City, Canada, August 2002, vol. IV, 150-155.

B. Georgescu, P. Meer: Balanced recovery of 3D structure and camera motion from uncalibrated image sequences.
7th European Conference on Computer Vision, Copenhagen, May 2002, vol. II, 294-308.

H. Chen, P. Meer: Robust computer vision through kernel density estimation.
7th European Conference on Computer Vision, Copenhagen, May 2002, vol. I, 236-250.

H. Chen, P. Meer, D.E. Tyler: Robust regression for data with multiple structures.
2001 IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, December 2001, vol. I, 1069-1075.

J. Bride, P. Meer: Registration via direct methods: A statistical approach.
2001 IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, December 2001, vol. I, 984-989.

D. Comaniciu, V. Ramesh, P. Meer: The variable bandwidth mean shift and data-driven scale selection .
8th International Conference on Computer Vision, Vancouver, Canada, July 2001, vol. I, 438-445.

B. Matei, B. Georgescu, P. Meer: A versatile method for trifocal tensor estimation.
8th International Conference on Computer Vision, Vancouver, Canada, July 2001, vol. II, 578-585.

K. Xu, B. Georgescu, D. Comaniciu, P. Meer: Performance analysis in content-based retrieval with textures.
15th International Conference on Pattern Recognition. Track 4: Applications, Robotics, Systems and Architectures, Barcelona, Spain, September 2000, vol. IV, 275-278.

B. Matei, P. Meer: Reduction of bias in maximum likelihood ellipse fitting.
15th International Conference on Pattern Recognition. Track 1: Computer Vision. and Image Analysis, Barcelona, Spain, September 2000, vol. III, 802-806.

B. Matei, P. Meer: A general method for errors-in-variables problems in computer vision .
2000 IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, SC, June 2000, vol.II, 18-25

D. Comaniciu, V. Ramesh, P. Meer: Real-time tracking of non-rigid objects using mean shift.
2000 IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, SC, June 2000, vol.II, 142-149.
BEST PAPER AWARD.

B. Matei, P. Meer: Bootstrapping errors-in-variables models.
Vision Algorithms 99, Kerkyra, Greece, September 1999, 43-50.

D. Comaniciu, P. Meer: Mean shift analysis and applications.
7th International Conference on Computer Vision, Kerkyra, Greece, September 1999, 1197-1203.

D. Comaniciu, P. Meer, D. Tyler: Dissimilarity computation through low rank corrections .
IEEE Workshop on Content-based Access of Image and Video Libraries, Fort Collins, CO, June 1999, 50-54.

B. Matei, P. Meer: Optimal rigid motion estimation and performance evaluation with bootstrap.
1999 IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, CO, June 1999, vol.I, 339-345.
BEST STUDENT PAPER AWARD.

R. Lenz, P. Meer: Non-euclidean structure of the spectral color space.
EUROPTO: Conference on Polarization and Color Techniques in Industrial Inspection, Munich, Germany, June 1999, SPIE Proceedings, vol. 3826, E.A. Marszalec and E. Trucco (Eds.), 101-112.

D. Comaniciu, P. Meer: Robust analysis of feature spaces: Color image segmentation.
1997 IEEE Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, June 1997, 750-755.

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