Michael Lindenbaum

136 papers A* 18A 2B 9C 1Misc 1Journal 72Unranked 32
YearRankTypeTitle / Venue / Authors
2025 A* conf
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding.
CVPR
Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025 J jnl
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding.
CoRR
Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2024 J jnl
Assessing Hierarchies by Their Consistent Segmentations.
J. Math. Imaging Vis.
Zeev Gutman, Ritvik Vij, Laurent Najman, Michael Lindenbaum
2024 J jnl
Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array.
CoRR
Noam Ginio, Michael Lindenbaum, Barak Fishbain, Dan Liberzon
2024 J jnl
Metric Convolutions: A Unifying Theory to Adaptive Convolutions.
CoRR
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
2024 J jnl
Wave (from) Polarized Light Learning (WPLL) method: high resolution spatio-temporal measurements of water surface waves in laboratory setups.
CoRR
Noam Ginio, Michael Lindenbaum, Barak Fishbain, Dan Liberzon
2023 J jnl
From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task.
CoRR
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
2022 J jnl
Assessing hierarchies by their consistent segmentations.
CoRR
Zeev Gutman, Ritvik Vij, Laurent Najman, Michael Lindenbaum
2020 J jnl
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance.
CoRR
Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum
2020 — conf
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance.
ECCV (11)
Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum
2020 A* conf
Enhancing Generic Segmentation With Learned Region Representations.
CVPR
Or Isaacs, Oran Shayer, Michael Lindenbaum
2020 B conf
On the Minimal Recognizable Image Patch.
ICPR
Mark Fonaryov, Michael Lindenbaum
2020 J jnl
On the Minimal Recognizable Image Patch.
CoRR
Mark Fonaryov, Michael Lindenbaum
2019 J jnl
Enhancing Generic Segmentation with Learned Region Representations.
CoRR
Or Isaacs, Oran Shayer, Michael Lindenbaum
2019 J jnl
Learning Pixel Representations for Generic Segmentation.
CoRR
Oran Shayer, Michael Lindenbaum
2019 A* conf
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks.
CVPR
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
2019 — conf
Seeing Things in Random-Dot Videos.
ACPR (1)
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
2019 J jnl
Seeing Things in Random-Dot Videos.
CoRR
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
2018 J jnl
3DmFV: Three-Dimensional Point Cloud Classification in Real-Time Using Convolutional Neural Networks.
IEEE Robotics Autom. Lett.
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
2018 J jnl
Graph based over-segmentation methods for 3D point clouds.
Comput. Vis. Image Underst.
Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum, Anath Fischer
2018 J jnl
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks.
CoRR
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
2017 J jnl
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks.
CoRR
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
2017 J jnl
Graph Based Over-Segmentation Methods for 3D Point Clouds.
CoRR
Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum, Anath Fischer
2017 A* conf
Increasing CNN Robustness to Occlusions by Reducing Filter Support.
ICCV
Elad Osherov, Michael Lindenbaum
2017 J jnl
Inner-Scene Similarities as a Contextual Cue for Object Detection.
CoRR
Noa Arbel, Tamar Avraham, Michael Lindenbaum
2016 — conf
Interpreting the Ratio Criterion for Matching SIFT Descriptors.
ECCV (5)
Avi Kaplan, Tamar Avraham, Michael Lindenbaum
2016 J jnl
Local Variation as a Statistical Hypothesis Test.
Int. J. Comput. Vis.
Michael Baltaxe, Peter Meer, Michael Lindenbaum
2015 J jnl
Local Variation as a Statistical Hypothesis Test.
CoRR
Michael Baltaxe, Peter Meer, Michael Lindenbaum
2014 — conf
Approximating Hierarchical MV-sets for Hierarchical Clustering.
NIPS
Assaf Glazer, Omer Weissbrod, Michael Lindenbaum, Shaul Markovitch
2014 — ch.
Learning Appearance Transfer for Person Re-identification.
Person Re-Identification
Tamar Avraham, Michael Lindenbaum
2014 B conf
Temporal face embedding and propagation in photo collections.
ICIP
Markus Brenner, Tamar Avraham, Michael Lindenbaum, Ebroul Izquierdo
2014 J jnl
The Cues in "Dependent Multiple Cue Integration for Robust Tracking" Are Independent.
IEEE Trans. Pattern Anal. Mach. Intell.
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
2013 J jnl
Beyond Independence: An Extension of the A Contrario Decision Procedure.
Int. J. Comput. Vis.
Artiom Myaskouvskey, Yann Gousseau, Michael Lindenbaum
2013 A conf
Transitive Re-identification.
BMVC
Yulia Brand, Tamar Avraham, Michael Lindenbaum
2013 — conf
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions.
NIPS
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
2012 J jnl
Blind Adaptive Sampling of Images.
IEEE Trans. Image Process.
Zvi Devir, Michael Lindenbaum
2012 B conf
Feature shift detection.
ICPR
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
2012 — conf
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data.
NIPS
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
2012 — conf
Learning Implicit Transfer for Person Re-identification.
ECCV Workshops (1)
Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, Shaul Markovitch
2012 — conf
One-Class Background Model.
ACCV Workshops (1)
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
2011 — conf
A Segmentation Quality Measure Based on Rich Descriptors and Classification Methods.
SSVM
David Peles, Michael Lindenbaum
2011 J jnl
Dense Mirroring Surface Recovery from 1D Homographies and Sparse Correspondences.
IEEE Trans. Pattern Anal. Mach. Intell.
Stas Rozenfeld, Ilan Shimshoni, Michael Lindenbaum
2011 — conf
Multiple Region Categorization for Scenery Images.
ICIAP (1)
Tamar Avraham, Ilya Gurvich, Michael Lindenbaum
2011 J jnl
Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Roman Sandler, Michael Lindenbaum
2010 J jnl
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Tamar Avraham, Michael Lindenbaum
2010 J jnl
Mean Shift tracking with multiple reference color histograms.
Comput. Vis. Image Underst.
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
2010 — conf
Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model.
ECCV (5)
Tamar Avraham, Michael Lindenbaum
2009 A* conf
Boundary ownership by lifting to 2.1D.
ICCV
Ido Leichter, Michael Lindenbaum
2009 A* conf
Nonnegative Matrix Factorization with Earth Mover's Distance metric.
CVPR
Roman Sandler, Michael Lindenbaum
2009 J jnl
Optimizing Gabor Filter Design for Texture Edge Detection and Classification.
Int. J. Comput. Vis.
Roman Sandler, Michael Lindenbaum
2009 J jnl
Tracking by Affine Kernel Transformations Using Color and Boundary Cues.
IEEE Trans. Pattern Anal. Mach. Intell.
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
2008 J jnl
Bittracker - A Bitmap Tracker for Visual Tracking under Very General Conditions.
IEEE Trans. Pattern Anal. Mach. Intell.
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
2008 B conf
Generalised blind sampling of images.
ICIP
Zvi Devir, Michael Lindenbaum
2008 A* conf
Unsupervised estimation of segmentation quality using nonnegative factorization.
CVPR
Roman Sandler, Michael Lindenbaum
2007 J jnl
Adaptive Range Sampling Using a Stochastic Model.
J. Comput. Inf. Sci. Eng.
Zvi Devir, Michael Lindenbaum
2007 A* conf
Dense mirroring surface recovery from 1D homographies and sparse correspondences.
CVPR
Stas Rozenfeld, Ilan Shimshoni, Michael Lindenbaum
2007 J jnl
Surface Dependent Representations for Illumination Insensitive Image Comparison.
IEEE Trans. Pattern Anal. Mach. Intell.
Margarita Osadchy, David W. Jacobs, Michael Lindenbaum
2007 C conf
The Analysis of Saliency Processes and its Application to Grouping Cues Design.
CBMI
Roman Golubchyck, Michael Lindenbaum
2007 A* conf
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary.
ICCV
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
2006 J jnl
A General Framework for Combining Visual Trackers - The "Black Boxes" Approach.
Int. J. Comput. Vis.
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
2006 J jnl
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds.
IEEE Trans. Pattern Anal. Mach. Intell.
Tamar Avraham, Michael Lindenbaum
2006 — conf
Gabor Filter Analysis for Texture Segmentation.
CVPR Workshops
Roman Sandler, Michael Lindenbaum
2006 J jnl
On the Distribution of Saliency.
IEEE Trans. Pattern Anal. Mach. Intell.
Alexander Berengolts, Michael Lindenbaum
2005 J jnl
A Probabilistic Analysis of Trie-Based Sorting of Large Collections of Line Segments in Spatial Databases.
SIAM J. Comput.
Michael Lindenbaum, Hanan Samet, Gísli R. Hjaltason
2005 A* conf
On the Equivalence of Common Approaches to Lighting Insensitive Recognition.
ICCV
Margarita Osadchy, David W. Jacobs, Michael Lindenbaum
2004 — conf
A Probabilistic Framework for Combining Tracking Algorithms.
CVPR (2)
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
2004 B conf
A probabilistic cooperation between trackers of coupled objects.
ICIP
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
2004 — conf
An Information-Based Measure for Grouping Quality.
ECCV (3)
Erik A. Engbers, Michael Lindenbaum, Arnold W. M. Smeulders
2004 — conf
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations.
ECCV (2)
Tamar Avraham, Michael Lindenbaum
2004 — conf
Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity.
WAPCV
Tamar Avraham, Michael Lindenbaum
2004 — conf
On the Distribution of Saliency.
CVPR (2)
Alexander Berengolts, Michael Lindenbaum
2004 J jnl
Selective Sampling for Nearest Neighbor Classifiers.
Mach. Learn.
Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov
2004 — conf
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination.
ECCV (4)
Margarita Osadchy, Michael Lindenbaum, David W. Jacobs
2003 J jnl
Guest Editors' Introduction to the Special Section on Perceptual Organization in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell.
David W. Jacobs, Michael Lindenbaum
2003 J jnl
Guest Editors' Introduction to the Special Section on Perceptual Organization in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell.
David W. Jacobs, Michael Lindenbaum
2001 A* conf
Efficient Sequential Karhunen-Loeve Basis Extraction.
ICCV
Avraham Levy, Michael Lindenbaum
2001 J jnl
On the Performance of Connected Components Grouping.
Int. J. Comput. Vis.
Alexander Berengolts, Michael Lindenbaum
2000 — conf
A Probabilistic Interpretation of the Saliency Network.
ECCV (2)
Michael Lindenbaum, Alexander Berengolts
2000 J jnl
ANTS: Agents on Networks, Trees, and Subgraphs.
Future Gener. Comput. Syst.
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
2000 A* conf
Camera Model Selection Based on Geometric AIC.
CVPR
Keisuke Kinoshita, Michael Lindenbaum
2000 J jnl
MAC Versus PC: Determinism and Randomness as Complementary Approaches to Robotic Exploration of Continuous Unknown Domains.
Int. J. Robotics Res.
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
2000 J jnl
Robotic Control with Partial Visual Information.
Int. J. Comput. Vis.
Keisuke Kinoshita, Michael Lindenbaum
2000 J jnl
Sequential Karhunen-Loeve basis extraction and its application to images.
IEEE Trans. Image Process.
Avraham Levy, Michael Lindenbaum
2000 J jnl
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces.
Int. J. Comput. Vis.
Ilan Shimshoni, Yael Moses, Michael Lindenbaum
1999 J jnl
Distributed covering by ant-robots using evaporating traces.
IEEE Trans. Robotics Autom.
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
1999 J jnl
Ground from Figure Discrimination.
Comput. Vis. Image Underst.
Arnon Amir, Michael Lindenbaum
1999 — conf
Selective Sampling for Nearest Neighbor Classifiers.
AAAI/IAAI
Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov
1999 Misc conf
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces.
ICIAP
Ilan Shimshoni, Michael Lindenbaum, Yael Moses
1999 J jnl
VC-Dimension Analysis of Object Recognition Tasks.
J. Math. Imaging Vis.
Michael Lindenbaum, Shai Ben-David
1998 J jnl
A Generic Grouping Algorithm and Its Quantitative Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Arnon Amir, Michael Lindenbaum
1998 B conf
A layered representation for model-based filtering and recognition.
ICPR
Milena Salman, Michael Lindenbaum
1998 J jnl
Efficiently Searching a Graph by a Smell-Oriented Vertex Process.
Ann. Math. Artif. Intell.
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
1998 A* conf
Ground from Figure Discrimination.
CVPR
Arnon Amir, Michael Lindenbaum
1998 J jnl
Grouping-Based Nonadditive Verification.
IEEE Trans. Pattern Anal. Mach. Intell.
Arnon Amir, Michael Lindenbaum
1998 J jnl
Localization vs. Identification of Semi-Algebraic Sets.
Mach. Learn.
Shai Ben-David, Michael Lindenbaum
1998 A* conf
Robotic Control with Partial Visual Information.
ICCV
Keisuke Kinoshita, Michael Lindenbaum
1998 — conf
Robotic Exploration, Brownian Motion and Electrical Resistance.
RANDOM
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
1998 — conf
Sequential Karhunen-Loeve Basis Extraction and its Application to Images.
ICIP (2)
Avraham Levy, Michael Lindenbaum
1998 B conf
Some trade-offs and a new algorithm for geometric hashing.
ICPR
Michael Hoffman, Michael Lindenbaum
1997 J jnl
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Michael Lindenbaum
1997 J jnl
Learning Distributions by Their Density Levels: A Paradigm for Learning without a Teacher.
J. Comput. Syst. Sci.
Shai Ben-David, Michael Lindenbaum
1997 J jnl
The farthest point strategy for progressive image sampling.
IEEE Trans. Image Process.
Yuval Eldar, Michael Lindenbaum, Moshe Porat, Yehoshua Y. Zeevi
1996 — conf
Education in image sciences and engineering at the Technion.
ICIP (1)
Michael Lindenbaum, Yehoshua Y. Zeevi
1996 J jnl
On the metric properties of discrete space-filling curves.
IEEE Trans. Image Process.
Craig Gotsman, Michael Lindenbaum
1996 B conf
Quantifying the reliability of feature-based object recognition.
ICPR
Anna Rudshtein, Michael Lindenbaum
1996 — conf
Quantitative Analysis of Grouping Processes.
ECCV (1)
Arnon Amir, Michael Lindenbaum
1996 — conf
Smell as a Computational Resource - A Lesson We Can Learn from the Ant.
ISTCS
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
1995 B conf
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition.
ACCV
Michael Lindenbaum
1995 J jnl
Bounds on Shape Recognition Performance.
IEEE Trans. Pattern Anal. Mach. Intell.
Michael Lindenbaum
1995 J jnl
Euclidean Voronoi labelling on the multidimensional grid.
Pattern Recognit. Lett.
Craig Gotsman, Michael Lindenbaum
1995 — conf
Learning distributions by their density-levels - a paradigm for learning without a teacher.
EuroCOLT
Shai Ben-David, Michael Lindenbaum
1995 J jnl
Partial eigenvalue decomposition of large images using spatial temporal adaptive method.
IEEE Trans. Image Process.
W. Murase, Michael Lindenbaum
1994 A* conf
Applying VC-Dimension Analysis To 3D Object Recognition from Perspective Projections.
AAAI
Michael Lindenbaum, Shai Ben-David
1994 — conf
Applying VC-dimension Analysis To Object Recognition.
ECCV (1)
Michael Lindenbaum, Shai Ben-David
1994 J jnl
Blind approximation of planar convex sets.
IEEE Trans. Robotics Autom.
Michael Lindenbaum, Alfred M. Bruckstein
1994 J jnl
Curve Segmentation Under Partial Occlusion.
IEEE Trans. Pattern Anal. Mach. Intell.
Nir Katzir, Michael Lindenbaum, Moshe Porat
1994 J jnl
On Gabor's contribution to image enhancement.
Pattern Recognit.
Michael Lindenbaum, M. Fischer, Alfred M. Bruckstein
1994 — conf
On the amount of data required for reliable recognition.
ICPR (1)
Michael Lindenbaum
1994 — conf
On the metric properties of discrete space-filling curves.
ICPR (3)
Craig Gotsman, Michael Lindenbaum
1994 — conf
The farthest point strategy for progressive image sampling.
ICPR (3)
Yuval Eldar, Michael Lindenbaum, Moshe Porat, Yehoshua Y. Zeevi
1993 A* conf
Localization vs. Identification of Semi-Algebraic Sets.
COLT
Shai Ben-David, Michael Lindenbaum
1993 J jnl
On Recursive, O(N) Partitioning of a Digitized Curve into Digital Straight Segments.
IEEE Trans. Pattern Anal. Mach. Intell.
Michael Lindenbaum, Alfred M. Bruckstein
1992 J jnl
Parallel Strategies for Geometric Probing.
J. Algorithms
Michael Lindenbaum, Alfred M. Bruckstein
1992 J jnl
Similarity-invariant signatures for partially occluded planar shapes.
Int. J. Comput. Vis.
Alfred M. Bruckstein, Nir Katzir, Michael Lindenbaum, Moshe Porat
1991 J jnl
A New Parameterization of Digital Straight Lines.
IEEE Trans. Pattern Anal. Mach. Intell.
Michael Lindenbaum, Jack Koplowitz
1991 J jnl
Digital or analog Hough transform?
Pattern Recognit. Lett.
Nahum Kiryati, Michael Lindenbaum, Alfred M. Bruckstein
1991 A* conf
Parallel strategies for geometric probing.
ICRA
Michael Lindenbaum, Alfred M. Bruckstein
1991 J jnl
Reconstruction of polygonal sets by constrained and unconstrained double probing.
Ann. Math. Artif. Intell.
Alfred M. Bruckstein, Michael Lindenbaum
1990 — conf
A probabilistic analysis of hierarchical geometric data structures.
ICPR (2)
Michael Lindenbaum, Hanan Samet
1990 A conf
Digital or analog Hough Transform?.
BMVC
Nahum Kiryati, Michael Lindenbaum, Alfred M. Bruckstein
1990 — conf
Planar curve segmentation for recognition of partially occluded shapes.
ICPR (1)
Nir Katzir, Michael Lindenbaum, Moshe Porat
1990 J jnl
Reconstructing a convex polygon from binary perspective projections.
Pattern Recognit.
Michael Lindenbaum, Alfred M. Bruckstein
1990 J jnl
The number of digital straight lines on an N×N grid.
IEEE Trans. Inf. Theory
Jack Koplowitz, Michael Lindenbaum, Alfred M. Bruckstein
1988 J jnl
Compression of chain codes using digital straight line sequences.
Pattern Recognit. Lett.
Michael Lindenbaum, Jack Koplowitz
1988 J jnl
Determining object shape from local velocity measurements.
Pattern Recognit.
Michael Lindenbaum, Alfred M. Bruckstein
1988 A* conf
On the number of digital straight lines on an N×N grid.
CVPR
Michael Lindenbaum, Jack Koplowitz, Alfred M. Bruckstein