Determining object shape from local velocity measurements. - Michael Lindenbaum; Alfred M. Bruckstein (Pattern Recognit., 1988)

Compression of chain codes using digital straight line sequences. - Michael Lindenbaum; Jack Koplowitz (Pattern Recognit. Lett., 1988)

Planar curve segmentation for recognition of partially occluded shapes. - Nir Katzir; Michael Lindenbaum; Moshe Porat (ICPR (1), 1990)

A probabilistic analysis of hierarchical geometric data structures. - Michael Lindenbaum; Hanan Samet (ICPR (2), 1990)

Reconstructing a convex polygon from binary perspective projections. - Michael Lindenbaum; Alfred M. Bruckstein (Pattern Recognit., 1990)

The number of digital straight lines on an N×N grid. - Jack Koplowitz; Michael Lindenbaum; Alfred M. Bruckstein (IEEE Trans. Inf. Theory, 1990)

Reconstruction of polygonal sets by constrained and unconstrained double probing. - Alfred M. Bruckstein; Michael Lindenbaum (Ann. Math. Artif. Intell., 1991)

A New Parameterization of Digital Straight Lines. - Michael Lindenbaum; Jack Koplowitz (IEEE Trans. Pattern Anal. Mach. Intell., 1991)

Digital or analog Hough transform? - Nahum Kiryati; Michael Lindenbaum; Alfred M. Bruckstein (Pattern Recognit. Lett., 1991)

Similarity-invariant signatures for partially occluded planar shapes. - Alfred M. Bruckstein; Nir Katzir; Michael Lindenbaum; Moshe Porat (Int. J. Comput. Vis., 1992)

Parallel Strategies for Geometric Probing. - Michael Lindenbaum; Alfred M. Bruckstein (J. Algorithms, 1992)

On Recursive, O(N) Partitioning of a Digitized Curve into Digital Straight Segments. - Michael Lindenbaum; Alfred M. Bruckstein (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

Applying VC-Dimension Analysis To 3D Object Recognition from Perspective Projections. - Michael Lindenbaum; Shai Ben-David (AAAI, 1994)

Applying VC-dimension Analysis To Object Recognition. - Michael Lindenbaum; Shai Ben-David (ECCV (1), 1994)

On the amount of data required for reliable recognition. - Michael Lindenbaum (ICPR (1), 1994)

Curve Segmentation Under Partial Occlusion. - Nir Katzir; Michael Lindenbaum; Moshe Porat (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

On Gabor's contribution to image enhancement. - Michael Lindenbaum; M. Fischer; Alfred M. Bruckstein (Pattern Recognit., 1994)

Blind approximation of planar convex sets. - Michael Lindenbaum; Alfred M. Bruckstein (IEEE Trans. Robotics Autom., 1994)

Bounds on Shape Recognition Performance. - Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Euclidean Voronoi labelling on the multidimensional grid. - Craig Gotsman; Michael Lindenbaum (Pattern Recognit. Lett., 1995)

Partial eigenvalue decomposition of large images using spatial temporal adaptive method. - W. Murase; Michael Lindenbaum (IEEE Trans. Image Process., 1995)

Quantitative Analysis of Grouping Processes. - Arnon Amir; Michael Lindenbaum (ECCV (1), 1996)

Education in image sciences and engineering at the Technion. - Michael Lindenbaum; Yehoshua Y. Zeevi (ICIP (1), 1996)

Quantifying the reliability of feature-based object recognition. - Anna Rudshtein; Michael Lindenbaum (ICPR, 1996)

Smell as a Computational Resource - A Lesson We Can Learn from the Ant. - Israel A. Wagner; Michael Lindenbaum; Alfred M. Bruckstein (ISTCS, 1996)

On the metric properties of discrete space-filling curves. - Craig Gotsman; Michael Lindenbaum (IEEE Trans. Image Process., 1996)

Learning Distributions by Their Density Levels: A Paradigm for Learning without a Teacher. - Shai Ben-David; Michael Lindenbaum (J. Comput. Syst. Sci., 1997)

An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition. - Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

The farthest point strategy for progressive image sampling. - Yuval Eldar; Michael Lindenbaum; Moshe Porat; Yehoshua Y. Zeevi (IEEE Trans. Image Process., 1997)

Some trade-offs and a new algorithm for geometric hashing. - Michael Hoffman; Michael Lindenbaum (ICPR, 1998)

A layered representation for model-based filtering and recognition. - Milena Salman; Michael Lindenbaum (ICPR, 1998)

Robotic Exploration, Brownian Motion and Electrical Resistance. - Israel A. Wagner; Michael Lindenbaum; Alfred M. Bruckstein (RANDOM, 1998)

Efficiently Searching a Graph by a Smell-Oriented Vertex Process. - Israel A. Wagner; Michael Lindenbaum; Alfred M. Bruckstein (Ann. Math. Artif. Intell., 1998)

Localization vs. Identification of Semi-Algebraic Sets. - Shai Ben-David; Michael Lindenbaum (Mach. Learn., 1998)

A Generic Grouping Algorithm and Its Quantitative Analysis. - Arnon Amir; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Grouping-Based Nonadditive Verification. - Arnon Amir; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Ground from Figure Discrimination. - Arnon Amir; Michael Lindenbaum (Comput. Vis. Image Underst., 1999)

VC-Dimension Analysis of Object Recognition Tasks. - Michael Lindenbaum; Shai Ben-David (J. Math. Imaging Vis., 1999)

Distributed covering by ant-robots using evaporating traces. - Israel A. Wagner; Michael Lindenbaum; Alfred M. Bruckstein (IEEE Trans. Robotics Autom., 1999)

Camera Model Selection Based on Geometric AIC. - Keisuke Kinoshita; Michael Lindenbaum (CVPR, 2000)

A Probabilistic Interpretation of the Saliency Network. - Michael Lindenbaum; Alexander Berengolts (ECCV (2), 2000)

ANTS: Agents on Networks, Trees, and Subgraphs. - Israel A. Wagner; Michael Lindenbaum; Alfred M. Bruckstein (Future Gener. Comput. Syst., 2000)

Robotic Control with Partial Visual Information. - Keisuke Kinoshita; Michael Lindenbaum (Int. J. Comput. Vis., 2000)

Shape Reconstruction of 3D Bilaterally Symmetric Surfaces. - Ilan Shimshoni; Yael Moses; Michael Lindenbaum (Int. J. Comput. Vis., 2000)

MAC Versus PC: Determinism and Randomness as Complementary Approaches to Robotic Exploration of Continuous Unknown Domains. - Israel A. Wagner; Michael Lindenbaum; Alfred M. Bruckstein (Int. J. Robotics Res., 2000)

Sequential Karhunen-Loeve basis extraction and its application to images. - Avraham Levy; Michael Lindenbaum (IEEE Trans. Image Process., 2000)

Efficient Sequential Karhunen-Loeve Basis Extraction. - Avraham Levy; Michael Lindenbaum (ICCV, 2001)

On the Performance of Connected Components Grouping. - Alexander Berengolts; Michael Lindenbaum (Int. J. Comput. Vis., 2001)

Guest Editors' Introduction to the Special Section on Perceptual Organization in Computer Vision. - David W. Jacobs; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

A Probabilistic Framework for Combining Tracking Algorithms. - Ido Leichter; Michael Lindenbaum; Ehud Rivlin (CVPR (2), 2004)

Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations. - Tamar Avraham; Michael Lindenbaum (ECCV (2), 2004)

An Information-Based Measure for Grouping Quality. - Erik A. Engbers; Michael Lindenbaum; Arnold W. M. Smeulders (ECCV (3), 2004)

Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination. - Margarita Osadchy; Michael Lindenbaum; David W. Jacobs (ECCV (4), 2004)

A probabilistic cooperation between trackers of coupled objects. - Ido Leichter; Michael Lindenbaum; Ehud Rivlin (ICIP, 2004)

Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity. - Tamar Avraham; Michael Lindenbaum (WAPCV, 2004)

Selective Sampling for Nearest Neighbor Classifiers. - Michael Lindenbaum; Shaul Markovitch; Dmitry Rusakov (Mach. Learn., 2004)

On the Equivalence of Common Approaches to Lighting Insensitive Recognition. - Margarita Osadchy; David W. Jacobs; Michael Lindenbaum (ICCV, 2005)

A Probabilistic Analysis of Trie-Based Sorting of Large Collections of Line Segments in Spatial Databases. - Michael Lindenbaum; Hanan Samet; Gísli R. Hjaltason (SIAM J. Comput., 2005)

Gabor Filter Analysis for Texture Segmentation. - Roman Sandler; Michael Lindenbaum (CVPR Workshops, 2006)

A General Framework for Combining Visual Trackers - The "Black Boxes" Approach. - Ido Leichter; Michael Lindenbaum; Ehud Rivlin (Int. J. Comput. Vis., 2006)

Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds. - Tamar Avraham; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

On the Distribution of Saliency. - Alexander Berengolts; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

The Analysis of Saliency Processes and its Application to Grouping Cues Design. - Roman Golubchyck; Michael Lindenbaum (CBMI, 2007)

Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary. - Ido Leichter; Michael Lindenbaum; Ehud Rivlin (ICCV, 2007)

Adaptive Range Sampling Using a Stochastic Model. - Zvi Devir; Michael Lindenbaum (J. Comput. Inf. Sci. Eng., 2007)

Surface Dependent Representations for Illumination Insensitive Image Comparison. - Margarita Osadchy; David W. Jacobs; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Unsupervised estimation of segmentation quality using nonnegative factorization. - Roman Sandler; Michael Lindenbaum (CVPR, 2008)

Generalised blind sampling of images. - Zvi Devir; Michael Lindenbaum (ICIP, 2008)

Bittracker - A Bitmap Tracker for Visual Tracking under Very General Conditions. - Ido Leichter; Michael Lindenbaum; Ehud Rivlin (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Nonnegative Matrix Factorization with Earth Mover's Distance metric. - Roman Sandler; Michael Lindenbaum (CVPR, 2009)

Boundary ownership by lifting to 2.1D. - Ido Leichter; Michael Lindenbaum (ICCV, 2009)

Optimizing Gabor Filter Design for Texture Edge Detection and Classification. - Roman Sandler; Michael Lindenbaum (Int. J. Comput. Vis., 2009)

Tracking by Affine Kernel Transformations Using Color and Boundary Cues. - Ido Leichter; Michael Lindenbaum; Ehud Rivlin (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model. - Tamar Avraham; Michael Lindenbaum (ECCV (5), 2010)

Mean Shift tracking with multiple reference color histograms. - Ido Leichter; Michael Lindenbaum; Ehud Rivlin (Comput. Vis. Image Underst., 2010)

Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling. - Tamar Avraham; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Multiple Region Categorization for Scenery Images. - Tamar Avraham; Ilya Gurvich; Michael Lindenbaum (ICIAP (1), 2011)

A Segmentation Quality Measure Based on Rich Descriptors and Classification Methods. - David Peles; Michael Lindenbaum (SSVM, 2011)

Dense Mirroring Surface Recovery from 1D Homographies and Sparse Correspondences. - Stas Rozenfeld; Ilan Shimshoni; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis. - Roman Sandler; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

One-Class Background Model. - Assaf Glazer; Michael Lindenbaum; Shaul Markovitch (ACCV Workshops (1), 2012)

Learning Implicit Transfer for Person Re-identification. - Tamar Avraham; Ilya Gurvich; Michael Lindenbaum; Shaul Markovitch (ECCV Workshops (1), 2012)

Feature shift detection. - Assaf Glazer; Michael Lindenbaum; Shaul Markovitch (ICPR, 2012)

Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data. - Assaf Glazer; Michael Lindenbaum; Shaul Markovitch (NIPS, 2012)

Blind Adaptive Sampling of Images. - Zvi Devir; Michael Lindenbaum (IEEE Trans. Image Process., 2012)

Transitive Re-identification. - Yulia Brand; Tamar Avraham; Michael Lindenbaum (BMVC, 2013)

q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions. - Assaf Glazer; Michael Lindenbaum; Shaul Markovitch (NIPS, 2013)

Beyond Independence: An Extension of the A Contrario Decision Procedure. - Artiom Myaskouvskey; Yann Gousseau; Michael Lindenbaum (Int. J. Comput. Vis., 2013)

Temporal face embedding and propagation in photo collections. - Markus Brenner; Tamar Avraham; Michael Lindenbaum; Ebroul Izquierdo (ICIP, 2014)

Approximating Hierarchical MV-sets for Hierarchical Clustering. - Assaf Glazer; Omer Weissbrod; Michael Lindenbaum; Shaul Markovitch (NIPS, 2014)

The Cues in "Dependent Multiple Cue Integration for Robust Tracking" Are Independent. - Ido Leichter; Michael Lindenbaum; Ehud Rivlin (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Learning Appearance Transfer for Person Re-identification. - Tamar Avraham; Michael Lindenbaum (Person Re-Identification, 2014)

Interpreting the Ratio Criterion for Matching SIFT Descriptors. - Avi Kaplan; Tamar Avraham; Michael Lindenbaum (ECCV (5), 2016)

Local Variation as a Statistical Hypothesis Test. - Michael Baltaxe; Peter Meer; Michael Lindenbaum (Int. J. Comput. Vis., 2016)

Increasing CNN Robustness to Occlusions by Reducing Filter Support. - Elad Osherov; Michael Lindenbaum (ICCV, 2017)

Inner-Scene Similarities as a Contextual Cue for Object Detection. - Noa Arbel; Tamar Avraham; Michael Lindenbaum (CoRR, 2017)

3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks. - Yizhak Ben-Shabat; Michael Lindenbaum; Anath Fischer (CoRR, 2017)

Graph based over-segmentation methods for 3D point clouds. - Yizhak Ben-Shabat; Tamar Avraham; Michael Lindenbaum; Anath Fischer (Comput. Vis. Image Underst., 2018)

3DmFV: Three-Dimensional Point Cloud Classification in Real-Time Using Convolutional Neural Networks. - Yizhak Ben-Shabat; Michael Lindenbaum; Anath Fischer (IEEE Robotics Autom. Lett., 2018)

Seeing Things in Random-Dot Videos. - Thomas Dagès; Michael Lindenbaum; Alfred M. Bruckstein (ACPR (1), 2019)

Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks. - Yizhak Ben-Shabat; Michael Lindenbaum; Anath Fischer (CVPR, 2019)

Learning Pixel Representations for Generic Segmentation. - Oran Shayer; Michael Lindenbaum (CoRR, 2019)

Enhancing Generic Segmentation With Learned Region Representations. - Or Isaacs; Oran Shayer; Michael Lindenbaum (CVPR, 2020)

DPDist: Comparing Point Clouds Using Deep Point Cloud Distance. - Dahlia Urbach; Yizhak Ben-Shabat; Michael Lindenbaum (ECCV (11), 2020)

On the Minimal Recognizable Image Patch. - Mark Fonaryov; Michael Lindenbaum (ICPR, 2020)

From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task. - Thomas Dagès; Michael Lindenbaum; Alfred M. Bruckstein (CoRR, 2023)

Metric Convolutions: A Unifying Theory to Adaptive Convolutions. - Thomas Dagès; Michael Lindenbaum; Alfred M. Bruckstein (CoRR, 2024)

Wave (from) Polarized Light Learning (WPLL) method: high resolution spatio-temporal measurements of water surface waves in laboratory setups. - Noam Ginio; Michael Lindenbaum; Barak Fishbain; Dan Liberzon (CoRR, 2024)

Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear array. - Noam Ginio; Michael Lindenbaum; Barak Fishbain; Dan Liberzon (CoRR, 2024)

Assessing Hierarchies by Their Consistent Segmentations. - Zeev Gutman; Ritvik Vij; Laurent Najman; Michael Lindenbaum (J. Math. Imaging Vis., 2024)

Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding. - Thomas Dagès; Simon Weber 002; Ya-Wei Eileen Lin; Ronen Talmon; Daniel Cremers; Michael Lindenbaum; Alfred M. Bruckstein; Ron Kimmel (CVPR, 2025)