Lindenbaum, Michael

38 publications

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

ICCV 2025 Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein

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

CVPR 2020 Enhancing Generic Segmentation with Learned Region Representations Or Isaacs, Oran Shayer, Michael Lindenbaum

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

ICCV 2017 Increasing CNN Robustness to Occlusions by Reducing Filter Support Elad Osherov, Michael Lindenbaum

ECCV 2016 Interpreting the Ratio Criterion for Matching SIFT Descriptors Avi Kaplan, Tamar Avraham, Michael Lindenbaum

NeurIPS 2014 Approximating Hierarchical MV-Sets for Hierarchical Clustering Assaf Glazer, Omer Weissbrod, Michael Lindenbaum, Shaul Markovitch

NeurIPS 2013 Q-OCSVM: A Q-Quantile Estimator for High-Dimensional Distributions Assaf Glazer, Michael Lindenbaum, Shaul Markovitch

NeurIPS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data Assaf Glazer, Michael Lindenbaum, Shaul Markovitch

ECCV 2012 Learning Implicit Transfer for Person Re-Identification Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, Shaul Markovitch

ECCVW 2012 Learning Implicit Transfer for Person Re-Identification Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, Shaul Markovitch

ECCV 2010 Non-Local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model Tamar Avraham, Michael Lindenbaum

ICCV 2009 Boundary Ownership by Lifting to 2.1d Ido Leichter, Michael Lindenbaum

CVPR 2009 Nonnegative Matrix Factorization with Earth Mover's Distance Metric Roman Sandler, Michael Lindenbaum

CVPR 2008 Unsupervised Estimation of Segmentation Quality Using Nonnegative Factorization Roman Sandler, Michael Lindenbaum

CVPR 2007 Dense Mirroring Surface Recovery from 1d Homographies and Sparse Correspondences Stas Rozenfeld, Ilan Shimshoni, Michael Lindenbaum

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

CVPRW 2006 Gabor Filter Analysis for Texture Segmentation Roman Sandler, Michael Lindenbaum

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

CVPR 2004 A Probabilistic Framework for Combining Tracking Algorithms Ido Leichter, Michael Lindenbaum, Ehud Rivlin

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

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

CVPR 2004 On the Distribution of Saliency Alexander Berengolts, Michael Lindenbaum

MLJ 2004 Selective Sampling for Nearest Neighbor Classifiers Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov

ECCV 2004 Whitening for Photometric Comparison of Smooth Surfaces Under Varying Illumination Margarita Osadchy, Michael Lindenbaum, David W. Jacobs

ICCV 2001 Efficient Sequential Karhunen-Loeve Basis Extraction Avraham Levy, Michael Lindenbaum

ECCV 2000 A Probabilistic Interpretation of the Saliency Network Michael Lindenbaum, Alexander Berengolts

CVPR 2000 Camera Model Selection Based on Geometric AIC Keisuke Kinoshita, Michael Lindenbaum

AAAI 1999 Selective Sampling for Nearest Neighbor Classifiers Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov

CVPR 1998 Ground from Figure Discrimination Arnon Amir, Michael Lindenbaum

MLJ 1998 Localization vs. Identification of Semi-Algebraic Sets Shai Ben-David, Michael Lindenbaum

ICCV 1998 Robotic Control with Partial Visual Information Keisuke Kinoshita, Michael Lindenbaum

ECCV 1996 Quantitative Analysis of Grouping Processes Arnon Amir, Michael Lindenbaum

AAAI 1994 Applying VC-Dimension Analysis to 3D Object Recognition from Perspective Projections Michael Lindenbaum, Shai Ben-David

ECCV 1994 Applying VC-Dimension Analysis to Object Recognition Michael Lindenbaum, Shai Ben-David

COLT 1993 Localization vs. Identification of Semi-Algebraic Sets Shai Ben-David, Michael Lindenbaum

CVPR 1988 On the Number of Digital Straight Lines on an N×N Grid Michael Lindenbaum, Jack Koplowitz, Alfred M. Bruckstein