 | 2009 |
|---|
| 74 |       | Amit Bleiweiss,
Michael Werman:
Fusing Time-of-Flight Depth and Color for Real-Time Segmentation and Tracking.
Dyn3D 2009: 58-69 |
| 2008 |
|---|
| 73 | | Ofir Pele,
Michael Werman:
A Linear Time Histogram Metric for Improved SIFT Matching.
ECCV (3) 2008: 495-508 |
| 72 | | Ofir Pele,
Michael Werman:
Robust Real-Time Pattern Matching Using Bayesian Sequential Hypothesis Testing.
IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1427-1443 (2008) |
| 2007 |
|---|
| 71 | | Ofir Pele,
Michael Werman:
Accelerating Pattern Matching or How Much Can You Slide?
ACCV (2) 2007: 435-446 |
| 2006 |
|---|
| 70 | | Ido Omer,
Michael Werman:
The Bottleneck Geodesic: Computing Pixel Affinity.
CVPR (2) 2006: 1901-1907 |
| 69 | | Evgeni Begelfor,
Michael Werman:
Affine Invariance Revisited.
CVPR (2) 2006: 2087-2094 |
| 68 | | Yaron Caspi,
Michael Werman:
Vertical Parallax from Moving Shadows.
CVPR (2) 2006: 2309-2315 |
| 67 | | Ido Omer,
Michael Werman:
Image Specific Feature Similarities.
ECCV (2) 2006: 321-333 |
| 2005 |
|---|
| 66 | | Evgeni Begelfor,
Michael Werman:
Probabilities on homographies.
SITIS 2005: 102-107 |
| 65 | | Evgeni Begelfor,
Michael Werman:
How to Put Probabilities on Homographies.
IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1666-1670 (2005) |
| 2004 |
|---|
| 64 | | Ido Omer,
Michael Werman:
Color Lines: Image Specific Color Representation.
CVPR (2) 2004: 946-953 |
| 63 |  | Ido Omer,
Michael Werman:
Using natural image properties as demosaicing hints.
ICIP 2004: 1665-1670 |
| 62 | | Venu Madhav Govindu,
Michael Werman:
On using priors in affine matching.
Image Vision Comput. 22(14): 1157-1164 (2004) |
| 2003 |
|---|
| 61 | | Noam Levi,
Michael Werman:
The Viewing Graph.
CVPR (1) 2003: 518-524 |
| 60 | | Michael Werman:
Fast Convolution.
WSCG 2003 |
| 2002 |
|---|
| 59 | | Gavriel Speyer,
Michael Werman:
Parameter Estimates for a Pencil of Lines: Bounds and Estimators.
ECCV (1) 2002: 432-446 |
| 58 | | Venu Govindu,
Michael Werman:
On Using Priors in Affine Matching.
ICVGIP 2002 |
| 57 | | Raanan Fattal,
Dani Lischinski,
Michael Werman:
Gradient domain high dynamic range compression.
SIGGRAPH 2002: 249-256 |
| 56 | | Daniel Keren,
Ilan Shimshoni,
Liran Goshen,
Michael Werman:
All Points Considered: A Maximum Likelihood Method for Motion Recovery.
Theoretical Foundations of Computer Vision 2002: 72-85 |
| 55 | | Raanan Fattal,
Dani Lischinski,
Michael Werman:
Gradient domain high dynamic range compression.
ACM Trans. Graph. 21(3): 249-256 (2002) |
| 54 | | Shlomo Dubnov,
Ziv Bar-Joseph,
Ran El-Yaniv,
Dani Lischinski,
Michael Werman:
Synthesizing Sound Textures through Wavelet Tree Learning.
IEEE Computer Graphics and Applications 22(4): 38-48 (2002) |
| 2001 |
|---|
| 53 | | Yoram Gdalyahu,
Daphna Weinshall,
Michael Werman:
Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization.
IEEE Trans. Pattern Anal. Mach. Intell. 23(10): 1053-1074 (2001) |
| 52 | | Michael Werman,
Daniel Keren:
A Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data.
IEEE Trans. Pattern Anal. Mach. Intell. 23(5): 528-534 (2001) |
| 51 | | Ziv Bar-Joseph,
Ran El-Yaniv,
Dani Lischinski,
Michael Werman:
Texture Mixing and Texture Movie Synthesis Using Statistical Learning.
IEEE Trans. Vis. Comput. Graph. 7(2): 120-135 (2001) |
| 50 | | Moshe Ben-Ezra,
Michael Werman,
Y. Bar-Yam:
A self stabilizing robust region finder applied to color and optical flow pictures.
Image Vision Comput. 19(7): 427-433 (2001) |
| 2000 |
|---|
| 49 | | John Oliensis,
Michael Werman:
Structure from Motion Using Points, Lines, and Intensities.
CVPR 2000: 2599-2606 |
| 48 | | Moshe Ben-Ezra,
Shmuel Peleg,
Michael Werman:
Model Based Pose Estimator Using Linear-Programming.
ECCV (1) 2000: 267-281 |
| 47 | | Moshe Ben-Ezra,
Shmuel Peleg,
Michael Werman:
Real-Time Motion Analysis with Linear Programming.
Computer Vision and Image Understanding 78(1): 32-52 (2000) |
| 1999 |
|---|
| 46 | | Michael Werman,
MaoLin Qiu,
Subhashis Banerjee,
Sumantra Dutta Roy:
Robot Localization using Uncalibrated Camera Invariants.
CVPR 1999: 2353-2359 |
| 45 | | Michael Werman,
Daniel Keren:
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data.
CVPR 1999: 2552-2558 |
| 44 | | Yoram Gdalyahu,
Daphna Weinshall,
Michael Werman:
Stochastic Image Segmentation by Typical Cuts.
CVPR 1999: 2596-2601 |
| 43 | | Amnon Shashua,
Shai Avidan,
Michael Werman:
Trajectory Triangulation over Conic Sections.
ICCV 1999: 330-336 |
| 42 | | Moshe Ben-Ezra,
Shmuel Peleg,
Michael Werman:
Real-Time Motion Analysis with Linear-Programming.
ICCV 1999: 703-709 |
| 41 | | Isaac David Guedalia,
Mickey London,
Michael Werman:
An On-line Agglomerative Clustering Method for Non-Stationary Data.
Neural Computation 11(2): 521-540 (1999) |
| 1998 |
|---|
| 40 | | Yoram Gdalyahu,
Daphna Weinshall,
Michael Werman:
A Randomized Algorithm for Pairwise Clustering.
NIPS 1998: 424-430 |
| 1997 |
|---|
| 39 | | Yoav Rosenberg,
Michael Werman:
A general filter for measurements with any probability distribution.
CVPR 1997: 654-659 |
| 38 | | Erez Shilat,
Michael Werman,
Yoram Gdalyahu:
Ridge's corner detection and correspondence.
CVPR 1997: 976- |
| 37 | | Daphna Weinshall,
Michael Werman:
On View Likelihood and Stability.
IEEE Trans. Pattern Anal. Mach. Intell. 19(2): 97-108 (1997) |
| 1996 |
|---|
| 36 | | Michael Werman,
Daphna Weinshall:
Complexity of Indexing: Efficient and Learnable Large Database Indexing.
ECCV (1) 1996: 660-670 |
| 35 | | Daphna Weinshall,
Michael Werman,
Amnon Shashua:
Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors.
ECCV (2) 1996: 217-227 |
| 34 | | Michael Werman:
Remarks on Strackee's Note.
IEEE Trans. Pattern Anal. Mach. Intell. 18(10): 1052 (1996) |
| 33 | | Yacov Hel-Or,
Michael Werman:
Constraint fusion for recognition and localization of articulated objects.
International Journal of Computer Vision 19(1): 5-28 (1996) |
| 32 | | Hassan Shekarforoush,
Marc Berthod,
Josiane Zerubia,
Michael Werman:
Sub-pixel Bayesian estimation of albedo and height.
International Journal of Computer Vision 19(3): 289-300 (1996) |
| 1995 |
|---|
| 31 | | Michael Werman,
Amnon Shashua:
The Study of 3D-from-2D Using Elimination.
ICCV 1995: 473-479 |
| 30 | | Amnon Shashua,
Michael Werman:
Trilinearity of Three Perspective Views and its Associated Tensor.
ICCV 1995: 920-925 |
| 29 | | Yacov Hel-Or,
Michael Werman:
Pose Estimation by Fusing Noisy Data of Different Dimensions.
IEEE Trans. Pattern Anal. Mach. Intell. 17(2): 195-201 (1995) |
| 28 | | Michael Werman,
Z. Geyzel:
Fitting a Second Degree Curve in the Presence of Error.
IEEE Trans. Pattern Anal. Mach. Intell. 17(2): 207-211 (1995) |
| 27 | | Heinz Breu,
Joseph Gil,
David G. Kirkpatrick,
Michael Werman:
Linear Time Euclidean Distance Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell. 17(5): 529-533 (1995) |
| 26 | | Yacov Hel-Or,
Michael Werman:
Corrections to 'Pose Estimation by Fusing Noisy Data of Different Dimensions'.
IEEE Trans. Pattern Anal. Mach. Intell. 17(5): 544 (1995) |
| 25 | | Michael Werman,
Daphna Weinshall:
Similarity and Affine Invariant Distances Between 2D Point Sets.
IEEE Trans. Pattern Anal. Mach. Intell. 17(8): 810-814 (1995) |
| 1994 |
|---|
| 24 | | Boubakeur Boufama,
Daphna Weinshall,
Michael Werman:
Shape from motion algorithms: a comparative analysis of scaled orthography and perspective.
ECCV (1) 1994: 199-204 |
| 23 | | Daphna Weinshall,
Michael Werman,
Naftali Tishby:
Stability and Likelihood of Views of Three Dimensional Objects.
ECCV (1) 1994: 24-35 |
| 22 | | Yacov Hel-Or,
Michael Werman:
Model Based Pose Estimation of Articulated and Constrained Objects.
ECCV (1) 1994: 262-273 |
| 21 | | Daphna Weinshall,
Michael Werman,
Naftali Tishby:
Stability and Likelihood of Views of Three Dimensional Objects.
Theoretical Foundations of Computer Vision 1994: 237-256 |
| 20 | | Ari Rappoport,
Yacov Hel-Or,
Michael Werman:
Interactive design of smooth objects with probabilistic point constraints.
ACM Trans. Graph. 13(2): 156-176 (1994) |
| 19 | | Yacov Hel-Or,
Ari Rappoport,
Michael Werman:
Relaxed parametric design with probabilistic constraints.
Computer-Aided Design 26(6): 426-434 (1994) |
| 18 | | Yacov Hel-Or,
Amir Shmuel,
Michael Werman:
Localization of primitives using adaptive projections.
Journal of Intelligent and Robotic Systems 11(1-2): 161-174 (1994) |
| 17 | | Josef Sprinzak,
Michael Werman:
Affine point matching.
Pattern Recognition Letters 15(4): 337-339 (1994) |
| 1993 |
|---|
| 16 | | Yacov Hel-Or,
Ari Rappoport,
Michael Werman:
Relaxed parametric design with probabilistic constraints.
Solid Modeling and Applications 1993: 261-270 |
| 15 | | Daniel Keren,
Michael Werman:
Probabilistic Analysis of Regularization.
IEEE Trans. Pattern Anal. Mach. Intell. 15(10): 982-995 (1993) |
| 14 | | Joseph Gil,
Michael Werman:
Computing 2-D Min, Median, and Max Filters.
IEEE Trans. Pattern Anal. Mach. Intell. 15(5): 504-507 (1993) |
| 13 | | Craig Gotsman,
Michael Werman:
Recognition of Affine Transformed Planar Curves by Extremal Geometric Properties.
Int. J. Comput. Geometry Appl. 3(2): 183-202 (1993) |
| 1992 |
|---|
| 12 | | Andrew Stein,
Michael Werman:
Finding the Repeated Median Regression Line.
SODA 1992: 409-413 |
| 11 | | Esther M. Arkin,
Klara Kedem,
Joseph S. B. Mitchell,
Josef Sprinzak,
Michael Werman:
Matching Points into Pairwise-Disjoint Noise Regions: Combinatorial Bounds and Algorithms.
INFORMS Journal on Computing 4(4): 375-386 (1992) |
| 1991 |
|---|
| 10 | | Esther M. Arkin,
Klara Kedem,
Joseph S. B. Mitchell,
Josef Sprinzak,
Michael Werman:
Matching Points into Noise Regions: Combinatorial Bounds and Algorithms.
SODA 1991: 42-51 |
| 9 | | Michael E. Saks,
Michael Werman:
On computing majority by comparisons.
Combinatorica 11(4): 383-387 (1991) |
| 8 | | Michael Werman,
David Magagnosc:
The relationship between integer and real solutions of constrained convex programming.
Math. Program. 51: 133-135 (1991) |
| 1990 |
|---|
| 7 | | Todd R. Reed,
Harry Wechsler,
Michael Werman:
Texture segmentation using a diffusion region growing technique.
Pattern Recognition 23(9): 953-960 (1990) |
| 1989 |
|---|
| 6 | | J. Anthony Gualtieri,
Sam Baugher,
Michael Werman:
The visual potential: One convex polygon.
Computer Vision, Graphics, and Image Processing 46(1): 96-130 (1989) |
| 5 | | Shmuel Peleg,
Michael Werman,
Hillel Rom:
A Unified Approach to the Change of Resolution: Space and Gray-Level.
IEEE Trans. Pattern Anal. Mach. Intell. 11(7): 739-742 (1989) |
| 4 | | Amotz Bar-Noy,
Allan Borodin,
Mauricio Karchmer,
Nathan Linial,
Michael Werman:
Bounds on Universal Sequences.
SIAM J. Comput. 18(2): 268-277 (1989) |
| 1988 |
|---|
| 3 | | Michael Werman,
Shmuel Peleg:
Gray level requantization.
Computer Vision, Graphics, and Image Processing 43(1): 81-87 (1988) |
| 1986 |
|---|
| 2 | | Michael Werman,
Shmuel Peleg,
Robert Melter,
T. Yung Kong:
Bipartite Graph Matching for Points on a Line or a Circle.
J. Algorithms 7(2): 277-284 (1986) |
| 1985 |
|---|
| 1 | | Michael Werman,
Shmuel Peleg,
Azriel Rosenfeld:
A distance metric for multidimensional histograms.
Computer Vision, Graphics, and Image Processing 32(3): 328-336 (1985) |
