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ORCIDMichael Werman
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- affiliation: The Hebrew University of Jerusalem, Israel
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2020 – today
- 2024
[i25]Nissim Barzilay, Ofek Narinsky, Michael Werman:
Camera Calibration and Stereo via a Single Image of a Spherical Mirror. CoRR abs/2409.16386 (2024)- 2023
- [j56]Yirmeyahu Kaminski
, Michael Werman:
General Deformations of Point Configurations Viewed By a Pinhole Model Camera. J. Math. Imaging Vis. 65(4): 631-643 (2023) - [j55]Alexander Kolpakov, Michael Werman:
An Approach to Robust ICP Initialization. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12685-12691 (2023) - [c83]Danail S. Brezov, Michael Werman:
Camera Motion Correction with PGA. CGI (4) 2023: 355-367 - [i24]Alexander Kolpakov, Michael Werman:
Robust affine feature matching via quadratic assignment on Grassmannians. CoRR abs/2303.02698 (2023) - [i23]Yoav Arad, Michael Werman:
Beyond the Benchmark: Detecting Diverse Anomalies in Videos. CoRR abs/2310.01904 (2023) - 2022
- [j54]Shen Fang, Véronique Prinet, Jianlong Chang, Michael Werman, Chunxia Zhang, Shiming Xiang, Chunhong Pan:
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 23(7): 7142-7155 (2022) - [c82]Noam Gottlieb, Michael Werman:
DecisioNet: A Binary-Tree Structured Neural Network. ACCV (1) 2022: 556-570 - [c81]Michael Soloveitchik, Michael Werman:
Fully Convolutional Fractional Scaling. SITIS 2022: 238-245 - [c80]Levi Kassel, Michael Werman:
DeePaste - Inpainting For Pasting. SITIS 2022: 427-433 - [i22]Michael Soloveitchik, Michael Werman:
Fully Convolutional Fractional Scaling. CoRR abs/2203.10670 (2022) - [i21]Noam Gottlieb, Michael Werman:
DecisioNet: A Binary-Tree Structured Neural Network. CoRR abs/2207.01127 (2022) - [i20]Alexander Kolpakov, Michael Werman:
An approach to robust ICP initialization. CoRR abs/2212.05332 (2022) - 2021
- [i19]Steven B. Damelin, David L. Ragozin, Michael Werman:
On a realization of motion and similarity group equivalence classes of labeled points in $\mathbb R^k$ with applications to computer vision. CoRR abs/2103.12980 (2021) - [i18]Levi Kassel, Michael Werman:
DeePaste - Inpainting for Pasting. CoRR abs/2112.10600 (2021) - 2020
- [i17]Levi Kassel, Michael Werman:
Using a Supervised Method without supervision for foreground segmentation. CoRR abs/2011.07954 (2020)
2010 – 2019
- 2019
- [j53]Tavi Halperin, Harel Cain, Ofir Bibi, Michael Werman:
Clear Skies Ahead: Towards Real-Time Automatic Sky Replacement in Video. Comput. Graph. Forum 38(2): 207-218 (2019) - [j52]E. Karasik, Raanan Fattal, Michael Werman:
Object Partitioning for Support-Free 3D-Printing. Comput. Graph. Forum 38(2): 305-316 (2019) - [i16]Tavi Halperin, Harel Cain, Ofir Bibi, Michael Werman:
Clear Skies Ahead: Towards Real-Time Automatic Sky Replacement in Video. CoRR abs/1903.02582 (2019) - [i15]Danail S. Brezov, Michael Werman:
Cameras Viewing Cameras Geometry. CoRR abs/1911.12706 (2019) - 2018
- [c79]Eli Kaminsky, Michael Werman:
ShadowNet. ICIAR 2018: 336-344 - [c78]Levi Offen, Michael Werman:
Sketch Based Reduced Memory Hough Transform. ICIP 2018: 664-668 - [c77]Yoni Kasten, Michael Werman:
Two View Constraints on the Epipoles from Few Correspondences. ICIP 2018: 888-892 - [c76]Shachar Honig, Michael Werman:
Image Declipping with Deep Networks. ICIP 2018: 3923-3927 - [c75]Tavi Halperin, Michael Werman:
An Epipolar Line from a Single Pixel. WACV 2018: 983-991 - [i14]Yoni Kasten, Michael Werman:
Two view constraints on the epipoles from few correspondences. CoRR abs/1810.09496 (2018) - [i13]Shachar Honig, Michael Werman:
Image declipping with deep networks. CoRR abs/1811.06277 (2018) - [i12]Levi Offen, Michael Werman:
Sketch based Reduced Memory Hough Transform. CoRR abs/1811.06287 (2018) - [i11]Steven B. Damelin, David L. Ragozin, Michael Werman:
On Min-Max affine approximants of convex or concave real valued functions from $\mathbb R^k$, Chebyshev equioscillation and graphics. CoRR abs/1812.02302 (2018) - [i10]Erez Yahalomi, Michael Chernofsky, Michael Werman:
Detection of distal radius fractures trained by a small set of X-ray images and Faster R-CNN. CoRR abs/1812.09025 (2018) - 2017
- [j51]Marcelo Cicconet, Vighnesh Birodkar, Mads Lund, Michael Werman, Davi Geiger:
A convolutional approach to reflection symmetry. Pattern Recognit. Lett. 95: 44-50 (2017) - [i9]Tavi Halperin, Michael Werman:
An Epipolar Line from a Single Pixel. CoRR abs/1703.09725 (2017) - [i8]Dokhyam Hoshen, Michael Werman:
IQ of Neural Networks. CoRR abs/1710.01692 (2017) - 2016
- [j50]Michael Werman, Matthew L. Wright:
Intrinsic Volumes of Random Cubical Complexes. Discret. Comput. Geom. 56(1): 93-113 (2016) - [c74]Gil Ben-Artzi, Yoni Kasten, Shmuel Peleg, Michael Werman:
Camera Calibration from Dynamic Silhouettes Using Motion Barcodes. CVPR 2016: 4095-4103 - [c73]Yoni Kasten, Gil Ben-Artzi, Shmuel Peleg, Michael Werman:
Fundamental Matrices from Moving Objects Using Line Motion Barcodes. ECCV (2) 2016: 220-228 - [c72]Gil Ben-Artzi, Tavi Halperin, Michael Werman, Shmuel Peleg:
Epipolar geometry based on line similarity. ICPR 2016: 1864-1869 - [i7]Gil Ben-Artzi, Tavi Halperin, Michael Werman, Shmuel Peleg:
Two Points Fundamental Matrix. CoRR abs/1604.04848 (2016) - [i6]Yoni Kasten, Gil Ben-Artzi, Shmuel Peleg, Michael Werman:
Fundamental Matrices from Moving Objects Using Line Motion Barcodes. CoRR abs/1607.07660 (2016) - [i5]Marcelo Cicconet, Vighnesh Birodkar, Mads Lund, Michael Werman, Davi Geiger:
A convolutional approach to reflection symmetry. CoRR abs/1609.05257 (2016) - 2015
- [c71]Gil Ben-Artzi, Michael Werman, Shmuel Peleg:
Event retrieval using motion barcodes. ICIP 2015: 2621-2625 - [c70]Marcelo Cicconet, Davi Geiger, Michael Werman:
Complex-valued hough transforms for circles. ICIP 2015: 2801-2804 - [i4]Gil Ben-Artzi, Michael Werman, Shmuel Peleg:
Epipolar Geometry from Temporal Signatures and Dynamic Silhouettes. CoRR abs/1506.07866 (2015) - 2014
- [j49]Eitan Richardson, Michael Werman:
Efficient classification using the Euler characteristic. Pattern Recognit. Lett. 49: 99-106 (2014) - [c69]Eitan Richardson, Shmuel Peleg, Michael Werman:
Scene geometry from moving objects. AVSS 2014: 13-18 - [c68]Marcelo Cicconet, Davi Geiger, Kristin C. Gunsalus, Michael Werman:
Mirror Symmetry Histograms for Capturing Geometric Properties in Images. CVPR 2014: 2981-2986 - [c67]Matan Sulami, Itamar Glatzer, Raanan Fattal, Michael Werman:
Automatic recovery of the atmospheric light in hazy images. ICCP 2014: 1-11 - [c66]Chetan Arora, Michael Werman:
Optical flow for non Lambertian surfaces by cancelling illuminant chromaticity. ICIP 2014: 1977-1981 - [c65]Marcelo Cicconet, Kristin C. Gunsalus, Davi Geiger, Michael Werman:
Shape statistics for cell division detection in time-lapse videos of early mouse embryo. ICIP 2014: 3622-3625 - [c64]Marcelo Cicconet, Kristin C. Gunsalus, Davi Geiger, Michael Werman:
Ellipses from triangles. ICIP 2014: 3626-3630 - [r1]Michael Werman:
Affine Invariants. Computer Vision, A Reference Guide 2014: 20-22 - [i3]Gil Ben-Artzi, Michael Werman, Shmuel Peleg:
Event Matching from Significantly Different Views using Motion Barcodes. CoRR abs/1412.1455 (2014) - 2013
- [j48]Elhanan Elboher, Michael Werman:
Asymmetric Correlation: A Noise Robust Similarity Measure for Template Matching. IEEE Trans. Image Process. 22(8): 3062-3073 (2013) - [c63]Elhanan Elboher, Michael Werman, Yacov Hel-Or:
The Generalized Laplacian Distance and Its Applications for Visual Matching. CVPR 2013: 2315-2322 - [c62]Véronique Prinet, Dani Lischinski, Michael Werman:
Illuminant Chromaticity from Image Sequences. ICCV 2013: 3320-3327 - [c61]Véronique Prinet, Michael Werman, Dani Lischinski:
Specular highlight enhancement from video sequences. ICIP 2013: 558-562 - [c60]Ofir Pele, Ben Taskar, Amir Globerson, Michael Werman:
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification. ICML (1) 2013: 205-213 - 2012
- [j47]Liad Kaufman, Dani Lischinski, Michael Werman:
Content-Aware Automatic Photo Enhancement. Comput. Graph. Forum 31(8): 2528-2540 (2012) - [j46]Daniel Keren, Michael Werman, Joshua Feinberg:
A Probabilistic Approach to Pattern Matching in the Continuous Domain. IEEE Trans. Pattern Anal. Mach. Intell. 34(10): 1873-1885 (2012) - [c59]Elhanan Elboher, Michael Werman:
Efficient and accurate Gaussian image filtering using running sums. ISDA 2012: 897-902 - [i2]Ofir Pele, Michael Werman:
Improving Perceptual Color Difference using Basic Color Terms. CoRR abs/1211.5556 (2012) - 2011
- [j45]Moti Freiman, Michael Werman, Leo Joskowicz:
A curvelet-based patient-specific prior for accurate multi-modal brain image rigid registration. Medical Image Anal. 15(1): 125-132 (2011) - [c58]Elhanan Elboher, Michael Werman:
Cosine integral images for fast spatial and range filtering. ICIP 2011: 89-92 - [c57]Moti Freiman, Ofir Pele, Aviv Hurvitz, Michael Werman, Leo Joskowicz:
Spectral-based 2D/3D X-ray to CT image rigid registration. Medical Imaging: Image-Guided Procedures 2011: 79641B - [i1]Elhanan Elboher, Michael Werman:
Efficient and Accurate Gaussian Image Filtering Using Running Sums. CoRR abs/1107.4958 (2011) - 2010
- [c56]Ofir Pele, Michael Werman:
The Quadratic-Chi Histogram Distance Family. ECCV (2) 2010: 749-762 - [c55]Amit Bleiweiss, Michael Werman:
Robust head pose estimation by fusing time-of-flight depth and color. MMSP 2010: 116-121
2000 – 2009
- 2009
- [c54]Amit Bleiweiss, Michael Werman:
Fusing Time-of-Flight Depth and Color for Real-Time Segmentation and Tracking. Dyn3D 2009: 58-69 - [c53]Ofir Pele, Michael Werman:
Fast and robust Earth Mover's Distances. ICCV 2009: 460-467 - [c52]M. N. Safran, Moti Freiman, Michael Werman, Leo Joskowicz:
Curvelet-based sampling for accurate and efficient multimodal image registration. Medical Imaging: Image Processing 2009: 72590M - 2008
- [j44]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) - [c51]Ofir Pele, Michael Werman:
A Linear Time Histogram Metric for Improved SIFT Matching. ECCV (3) 2008: 495-508 - [c50]Ido Nissenboim, Daniel Keren, Michael Werman:
Applying Two-Pixel Features to Face Detection. SITIS 2008: 65-69 - 2007
- [c49]Ofir Pele, Michael Werman:
Accelerating Pattern Matching or How Much Can You Slide? ACCV (2) 2007: 435-446 - 2006
- [c48]Ido Omer, Michael Werman:
The Bottleneck Geodesic: Computing Pixel Affinity. CVPR (2) 2006: 1901-1907 - [c47]Evgeni Begelfor, Michael Werman:
Affine Invariance Revisited. CVPR (2) 2006: 2087-2094 - [c46]Yaron Caspi, Michael Werman:
Vertical Parallax from Moving Shadows. CVPR (2) 2006: 2309-2315 - [c45]Ido Omer, Michael Werman:
Image Specific Feature Similarities. ECCV (2) 2006: 321-333 - 2005
- [j43]Evgeni Begelfor, Michael Werman:
How to Put Probabilities on Homographies. IEEE Trans. Pattern Anal. Mach. Intell. 27(10): 1666-1670 (2005) - [c44]Evgeni Begelfor, Michael Werman:
Probabilities on homographies. SITIS 2005: 102-107 - 2004
- [j42]Venu Madhav Govindu, Michael Werman:
On using priors in affine matching. Image Vis. Comput. 22(14): 1157-1164 (2004) - [c43]Ido Omer, Michael Werman:
Color Lines: Image Specific Color Representation. CVPR (2) 2004: 946-953 - [c42]Ido Omer, Michael Werman:
Using natural image properties as demosaicing hints. ICIP 2004: 1665-1670 - 2003
- [c41]Noam Levi, Michael Werman:
The Viewing Graph. CVPR (1) 2003: 518-524 - [c40]Adiel Ben-Shalom, Michael Werman, Shlomo Dubnov:
Improved low bit-rate audio compression using reduced rank ICA instead of psychoacoustic modeling. ICASSP (5) 2003: 461-464 - [c39]Michael Werman:
Fast Convolution. WSCG 2003 - 2002
- [j41]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) - [j40]Raanan Fattal, Dani Lischinski, Michael Werman:
Gradient domain high dynamic range compression. ACM Trans. Graph. 21(3): 249-256 (2002) - [c38]Gavriel Speyer, Michael Werman:
Parameter Estimates for a Pencil of Lines: Bounds and Estimators. ECCV (1) 2002: 432-446 - [c37]Venu Govindu, Michael Werman:
On Using Priors in Affine Matching. ICVGIP 2002 - [c36]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 - 2001
- [j39]Moshe Ben-Ezra, Michael Werman, Yaneer Bar-Yam:
A self stabilizing robust region finder applied to color and optical flow pictures. Image Vis. Comput. 19(7): 427-433 (2001) - [j38]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) - [j37]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) - [j36]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) - 2000
- [j35]Moshe Ben-Ezra, Shmuel Peleg, Michael Werman:
Real-Time Motion Analysis with Linear Programming. Comput. Vis. Image Underst. 78(1): 32-52 (2000) - [c35]John Oliensis, Michael Werman:
Structure from Motion Using Points, Lines, and Intensities. CVPR 2000: 2599-2606 - [c34]Moshe Ben-Ezra, Shmuel Peleg, Michael Werman:
Model Based Pose Estimator Using Linear-Programming. ECCV (1) 2000: 267-281
1990 – 1999
- 1999
- [j34]Yoav Smith, Gershom Zajicek, Michael Werman, Galina Pizov, Yoav Sherman:
Similarity Measurement Method for the Classification of Architecturally Differentiated Images. Comput. Biomed. Res. 32(1): 1-12 (1999) - [j33]Daniel Keren, Michael Werman:
A Full Bayesian Approach to Curve and Surface Reconstruction. J. Math. Imaging Vis. 11(1): 27-43 (1999) - [j32]Isaac David Guedalia, Mickey London, Michael Werman:
An On-line Agglomerative Clustering Method for Non-Stationary Data. Neural Comput. 11(2): 521-540 (1999) - [c33]Michael Werman, MaoLin Qiu, Subhashis Banerjee, Sumantra Dutta Roy:
Robot Localization using Uncalibrated Camera Invariants. CVPR 1999: 2353-2359 - [c32]Michael Werman, Daniel Keren:
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data. CVPR 1999: 2552-2558 - [c31]Yoram Gdalyahu, Daphna Weinshall, Michael Werman:
Stochastic Image Segmentation by Typical Cuts. CVPR 1999: 2596-2601 - [c30]Amnon Shashua, Shai Avidan, Michael Werman:
Trajectory Triangulation over Conic Sections. ICCV 1999: 330-336 - [c29]Moshe Ben-Ezra, Shmuel Peleg, Michael Werman:
Real-Time Motion Analysis with Linear-Programming. ICCV 1999: 703-709 - [c28]Ziv Bar-Joseph, Dani Lischinski, Michael Werman, Shlomo Dubnov, Ran El-Yaniv:
Granular Synthesis of Sound Textures Using Statistical Learning. ICMC 1999 - 1998
- [c27]Yoram Gdalyahu, Daphna Weinshall, Michael Werman:
A Randomized Algorithm for Pairwise Clustering. NIPS 1998: 424-430 - [c26]Moshe Ben-Ezra, Shmuel Peleg, Michael Werman:
Efficient computation of the most probable motion from fuzzy correspondences. WACV 1998: 22-27 - [c25]Yoav Rosenberg, Michael Werman:
Real-time object tracking from a moving video camera: a software approach on a PC. WACV 1998: 238-239 - 1997
- [j31]Eyal Ofek, Erez Shilat, Ari Rappoport, Michael Werman:
Multiresolution Textures from Image Sequences. IEEE Computer Graphics and Applications 17(2): 18-29 (1997) - [j30]Daphna Weinshall, Michael Werman:
On View Likelihood and Stability. IEEE Trans. Pattern Anal. Mach. Intell. 19(2): 97-108 (1997) - [c24]Yoav Rosenberg, Michael Werman:
A general filter for measurements with any probability distribution. CVPR 1997: 654-659 - [c23]Erez Shilat, Michael Werman, Yoram Gdalyahu:
Ridge's corner detection and correspondence. CVPR 1997: 976-981 - 1996
- [j29]Yacov Hel-Or, Michael Werman:
Constraint fusion for recognition and localization of articulated objects. Int. J. Comput. Vis. 19(1): 5-28 (1996) - [j28]Hassan Shekarforoush, Marc Berthod, Josiane Zerubia, Michael Werman:
Sub-pixel Bayesian estimation of albedo and height. Int. J. Comput. Vis. 19(3): 289-300 (1996) - [j27]Michael Werman:
Remarks on Strackee's Note. IEEE Trans. Pattern Anal. Mach. Intell. 18(10): 1052 (1996) - [c22]Daphna Weinshall, Michael Werman, Amnon Shashua:
Duality of Multi-Point and Multi-Frame Geometry: Fundamental Shape Matrices and Tensors. ECCV (2) 1996: 217-227 - [c21]Michael Werman, Daphna Weinshall:
Complexity of Indexing: Efficient and Learnable Large Database Indexing. ECCV (1) 1996: 660-670 - 1995
- [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]Michael Werman, Daphna Weinshall:
Similarity and Affine Invariant Distances Between 2D Point Sets. IEEE Trans. Pattern Anal. Mach. Intell. 17(8): 810-814 (1995) - [c20]Michael Werman, Amnon Shashua:
The Study of 3D-from-2D Using Elimination. ICCV 1995: 473-479 - [c19]Amnon Shashua, Michael Werman:
Trilinearity of Three Perspective Views and its Associated Tensor. ICCV 1995: 920-925 - 1994
- [j21]Yacov Hel-Or, Ari Rappoport, Michael Werman:
Relaxed parametric design with probabilistic constraints. Comput. Aided Des. 26(6): 426-434 (1994) - [j20]Yacov Hel-Or, Amir Shmuel, Michael Werman:
Localization of primitives using adaptive projections. J. Intell. Robotic Syst. 11(1-2): 161-174 (1994) - [j19]Josef Sprinzak, Michael Werman:
Affine point matching. Pattern Recognit. Lett. 15(4): 337-339 (1994) - [j18]Ari Rappoport, Yacov Hel-Or, Michael Werman:
Interactive design of smooth objects with probabilistic point constraints. ACM Trans. Graph. 13(2): 156-176 (1994) - [c18]Yacov Hel-Or, Michael Werman:
Constraint-fusion for interpretation of articulated objects. CVPR 1994: 39-45 - [c17]Marc Berthod, Hassan Shekarforoush, Michael Werman, Josiane Zerubia:
Reconstruction of high resolution 3D visual information. CVPR 1994: 654-657 - [c16]Daphna Weinshall, Michael Werman, Naftali Tishby:
Stability and Likelihood of Views of Three Dimensional Objects. ECCV (1) 1994: 24-35 - [c15]Boubakeur Boufama, Daphna Weinshall, Michael Werman:
Shape from motion algorithms: a comparative analysis of scaled orthography and perspective. ECCV (1) 1994: 199-204 - [c14]Yacov Hel-Or, Michael Werman:
Model Based Pose Estimation of Articulated and Constrained Objects. ECCV (1) 1994: 262-273 - [c13]Daniel Keren, Michael Werman:
A Bayesian framework for regularization. ICPR (3) 1994: 72-76 - [c12]Michael Werman, Daphna Weinshall:
Similarity and affine distance between 2D point sets. ICPR (1) 1994: 723-725 - [c11]Daphna Weinshall, Michael Werman, Naftali Tishby:
Stability and Likelihood of Views of Three Dimensional Objects. Theoretical Foundations of Computer Vision 1994: 237-256 - 1993
- [j17]Craig Gotsman, Michael Werman:
Recognition of Affine Transformed Planar Curves by Extremal Geometric Properties. Int. J. Comput. Geom. Appl. 3(2): 183-202 (1993) - [j16]Joseph Gil, Michael Werman:
Computing 2-D Min, Median, and Max Filters. IEEE Trans. Pattern Anal. Mach. Intell. 15(5): 504-507 (1993) - [j15]Daniel Keren, Michael Werman:
Probabilistic Analysis of Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 15(10): 982-995 (1993) - [c10]Yacov Hel-Or, Ari Rappoport, Michael Werman:
Relaxed parametric design with probabilistic constraints. Solid Modeling and Applications 1993: 261-270 - 1992
- [j14]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 J. Comput. 4(4): 375-386 (1992) - [c9]Yacov Hel-Or, Michael Werman:
Absolute orientation from uncertain point data: a unified approach. CVPR 1992: 77-82 - [c8]Andrew Stein, Michael Werman:
Robust statistics in shape fitting. CVPR 1992: 540-546 - [c7]Ran Bronstein, Michael Werman, Shmuel Peleg:
Surface reconstruction from derivatives. ICPR (1) 1992: 391-394 - [c6]Andrew Stein, Michael Werman:
Finding the Repeated Median Regression Line. SODA 1992: 409-413 - 1991
- [j13]Michael E. Saks, Michael Werman:
On computing majority by comparisons. Comb. 11(4): 383-387 (1991) - [j12]Michael Werman, David Magagnosc:
The relationship between integer and real solutions of constrained convex programming. Math. Program. 51: 133-135 (1991) - [c5]Amir Shmuel, Michael Werman:
3D from an image sequence-occlusions and perspective. CVPR 1991: 712-713 - [c4]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 - 1990
- [j11]Todd R. Reed, Harry Wechsler, Michael Werman:
Texture segmentation using a diffusion region growing technique. Pattern Recognit. 23(9): 953-960 (1990) - [c3]Amir Shmuel, Michael Werman:
Active vision: 3D from an image sequence. ICPR (1) 1990: 48-54 - [c2]Daniel Keren, Michael Werman:
Variations on regularization. ICPR (1) 1990: 93-98 - [c1]Daniel Keren, Ruth Marcus, Michael Werman, Shmuel Peleg:
Segmentation by minimum length encoding. ICPR (1) 1990: 681-683
1980 – 1989
- 1989
- [j10]J. Anthony Gualtieri, Sam Baugher, Michael Werman:
The visual potential: One convex polygon. Comput. Vis. Graph. Image Process. 46(1): 96-130 (1989) - [j9]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) - [j8]Amotz Bar-Noy, Allan Borodin, Mauricio Karchmer, Nathan Linial, Michael Werman:
Bounds on Universal Sequences. SIAM J. Comput. 18(2): 268-277 (1989) - 1988
- [j7]Michael Werman, Shmuel Peleg:
Gray level requantization. Comput. Vis. Graph. Image Process. 43(1): 81-87 (1988) - [j6]Michael Werman:
The capacity of k-gridgraphs as associative memory. Neural Networks 1(Supplement-1): 60-66 (1988) - 1987
- [j5]T. Yung Kong, David M. Mount, Michael Werman:
The decomposition of a square into rectangles of minimal perimeter. Discret. Appl. Math. 16(3): 239-243 (1987) - [j4]Michael Werman, Angela Y. Wu, Robert A. Melter:
Recognition and characterization of digitized curves. Pattern Recognit. Lett. 5(3): 207-213 (1987) - 1986
- [j3]Michael Werman, Shmuel Peleg, Robert A. Melter, T. Yung Kong:
Bipartite Graph Matching for Points on a Line or a Circle. J. Algorithms 7(2): 277-284 (1986) - 1985
- [j2]Michael Werman, Shmuel Peleg, Azriel Rosenfeld:
A distance metric for multidimensional histograms. Comput. Vis. Graph. Image Process. 32(3): 328-336 (1985) - [j1]Michael Werman, Shmuel Peleg:
Min-Max Operators in Texture Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 7(6): 730-733 (1985)
Coauthor Index
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to record detail pages.
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-11-11 21:31 CET by the dblp team
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