Michael Lindenbaum

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 24

Top Venues

CoRR

CVPR

IEEE Robotics Autom. Lett.

ECCV (5)

Publications

Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
Metric Convolutions: A Unifying Theory to Adaptive Convolutions. CoRR (2024)
Zeev Gutman, Ritvik Vij, Laurent Najman, Michael Lindenbaum
Assessing Hierarchies by Their Consistent Segmentations. J. Math. Imaging Vis. 66 (3) (2024)
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task. CoRR (2023)
Zeev Gutman, Ritvik Vij, Laurent Najman, Michael Lindenbaum
Assessing hierarchies by their consistent segmentations. CoRR (2022)
Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance. ECCV (11) (2020)
Mark Fonaryov, Michael Lindenbaum
On the Minimal Recognizable Image Patch. CoRR (2020)
Mark Fonaryov, Michael Lindenbaum
On the Minimal Recognizable Image Patch. ICPR (2020)
Or Isaacs, Oran Shayer, Michael Lindenbaum
Enhancing Generic Segmentation With Learned Region Representations. CVPR (2020)
Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance. CoRR (2020)
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks. CVPR (2019)
Oran Shayer, Michael Lindenbaum
Learning Pixel Representations for Generic Segmentation. CoRR (2019)
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
Seeing Things in Random-Dot Videos. ACPR (1) (2019)
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
Seeing Things in Random-Dot Videos. CoRR (2019)
Or Isaacs, Oran Shayer, Michael Lindenbaum
Enhancing Generic Segmentation with Learned Region Representations. CoRR (2019)
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
3DmFV: Three-Dimensional Point Cloud Classification in Real-Time Using Convolutional Neural Networks. IEEE Robotics Autom. Lett. 3 (4) (2018)
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks. CoRR (2018)
Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum, Anath Fischer
Graph based over-segmentation methods for 3D point clouds. Comput. Vis. Image Underst. 174 (2018)
Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks. CoRR (2017)
Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum, Anath Fischer
Graph Based Over-Segmentation Methods for 3D Point Clouds. CoRR (2017)
Noa Arbel, Tamar Avraham, Michael Lindenbaum
Inner-Scene Similarities as a Contextual Cue for Object Detection. CoRR (2017)
Elad Osherov, Michael Lindenbaum
Increasing CNN Robustness to Occlusions by Reducing Filter Support. ICCV (2017)
Avi Kaplan, Tamar Avraham, Michael Lindenbaum
Interpreting the Ratio Criterion for Matching SIFT Descriptors. ECCV (5) (2016)
Michael Baltaxe, Peter Meer, Michael Lindenbaum
Local Variation as a Statistical Hypothesis Test. Int. J. Comput. Vis. 117 (2) (2016)
Michael Baltaxe, Peter Meer, Michael Lindenbaum
Local Variation as a Statistical Hypothesis Test. CoRR (2015)
Markus Brenner, Tamar Avraham, Michael Lindenbaum, Ebroul Izquierdo
Temporal face embedding and propagation in photo collections. ICIP (2014)
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
The Cues in "Dependent Multiple Cue Integration for Robust Tracking" Are Independent. IEEE Trans. Pattern Anal. Mach. Intell. 36 (3) (2014)
Assaf Glazer, Omer Weissbrod, Michael Lindenbaum, Shaul Markovitch
Approximating Hierarchical MV-sets for Hierarchical Clustering. NIPS (2014)
Yulia Brand, Tamar Avraham, Michael Lindenbaum
Transitive Re-identification. BMVC (2013)
Artiom Myaskouvskey, Yann Gousseau, Michael Lindenbaum
Beyond Independence: An Extension of the A Contrario Decision Procedure. Int. J. Comput. Vis. 101 (1) (2013)
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions. NIPS (2013)
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
Feature shift detection. ICPR (2012)
Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, Shaul Markovitch
Learning Implicit Transfer for Person Re-identification. ECCV Workshops (1) (2012)
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data. NIPS (2012)
Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
One-Class Background Model. ACCV Workshops (1) (2012)
Zvi Devir, Michael Lindenbaum
Blind Adaptive Sampling of Images. IEEE Trans. Image Process. 21 (4) (2012)
Stas Rozenfeld, Ilan Shimshoni, Michael Lindenbaum
Dense Mirroring Surface Recovery from 1D Homographies and Sparse Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 33 (2) (2011)
Roman Sandler, Michael Lindenbaum
Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 33 (8) (2011)
David Peles, Michael Lindenbaum
A Segmentation Quality Measure Based on Rich Descriptors and Classification Methods. SSVM (2011)
Tamar Avraham, Ilya Gurvich, Michael Lindenbaum
Multiple Region Categorization for Scenery Images. ICIAP (1) (2011)
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
Mean Shift tracking with multiple reference color histograms. Comput. Vis. Image Underst. 114 (3) (2010)
Tamar Avraham, Michael Lindenbaum
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 32 (4) (2010)
Tamar Avraham, Michael Lindenbaum
Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model. ECCV (5) (2010)
Roman Sandler, Michael Lindenbaum
Optimizing Gabor Filter Design for Texture Edge Detection and Classification. Int. J. Comput. Vis. 84 (3) (2009)
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
Tracking by Affine Kernel Transformations Using Color and Boundary Cues. IEEE Trans. Pattern Anal. Mach. Intell. 31 (1) (2009)
Roman Sandler, Michael Lindenbaum
Nonnegative Matrix Factorization with Earth Mover's Distance metric. CVPR (2009)
Ido Leichter, Michael Lindenbaum
Boundary ownership by lifting to 2.1D. ICCV (2009)
Zvi Devir, Michael Lindenbaum
Generalised blind sampling of images. ICIP (2008)
Roman Sandler, Michael Lindenbaum
Unsupervised estimation of segmentation quality using nonnegative factorization. CVPR (2008)
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
Bittracker - A Bitmap Tracker for Visual Tracking under Very General Conditions. IEEE Trans. Pattern Anal. Mach. Intell. 30 (9) (2008)
Roman Golubchyck, Michael Lindenbaum
The Analysis of Saliency Processes and its Application to Grouping Cues Design. CBMI (2007)
Zvi Devir, Michael Lindenbaum
Adaptive Range Sampling Using a Stochastic Model. J. Comput. Inf. Sci. Eng. 7 (1) (2007)
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary. ICCV (2007)
Stas Rozenfeld, Ilan Shimshoni, Michael Lindenbaum
Dense mirroring surface recovery from 1D homographies and sparse correspondences. CVPR (2007)
Margarita Osadchy, David W. Jacobs, Michael Lindenbaum
Surface Dependent Representations for Illumination Insensitive Image Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 29 (1) (2007)
Roman Sandler, Michael Lindenbaum
Gabor Filter Analysis for Texture Segmentation. CVPR Workshops (2006)
Alexander Berengolts, Michael Lindenbaum
On the Distribution of Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 28 (12) (2006)
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
A General Framework for Combining Visual Trackers - The "Black Boxes" Approach. Int. J. Comput. Vis. 67 (3) (2006)
Tamar Avraham, Michael Lindenbaum
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 28 (2) (2006)
Margarita Osadchy, David W. Jacobs, Michael Lindenbaum
On the Equivalence of Common Approaches to Lighting Insensitive Recognition. ICCV (2005)
Michael Lindenbaum, Hanan Samet, Gísli R. Hjaltason
A Probabilistic Analysis of Trie-Based Sorting of Large Collections of Line Segments in Spatial Databases. SIAM J. Comput. 35 (1) (2005)
Tamar Avraham, Michael Lindenbaum
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations. ECCV (2) (2004)
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
A Probabilistic Framework for Combining Tracking Algorithms. CVPR (2) (2004)
Tamar Avraham, Michael Lindenbaum
Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity. WAPCV (2004)
Margarita Osadchy, Michael Lindenbaum, David W. Jacobs
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination. ECCV (4) (2004)
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
A probabilistic cooperation between trackers of coupled objects. ICIP (2004)
Erik A. Engbers, Michael Lindenbaum, Arnold W. M. Smeulders
An Information-Based Measure for Grouping Quality. ECCV (3) (2004)
Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov
Selective Sampling for Nearest Neighbor Classifiers. Mach. Learn. 54 (2) (2004)
Alexander Berengolts, Michael Lindenbaum
On the Distribution of Saliency. CVPR (2) (2004)
David W. Jacobs, Michael Lindenbaum
Guest Editors' Introduction to the Special Section on Perceptual Organization in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 25 (4) (2003)
David W. Jacobs, Michael Lindenbaum
Guest Editors' Introduction to the Special Section on Perceptual Organization in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 25 (6) (2003)
Alexander Berengolts, Michael Lindenbaum
On the Performance of Connected Components Grouping. Int. J. Comput. Vis. 41 (3) (2001)
Avraham Levy, Michael Lindenbaum
Efficient Sequential Karhunen-Loeve Basis Extraction. ICCV (2001)
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
ANTS: Agents on Networks, Trees, and Subgraphs. Future Gener. Comput. Syst. 16 (8) (2000)
Keisuke Kinoshita, Michael Lindenbaum
Camera Model Selection Based on Geometric AIC. CVPR (2000)
Michael Lindenbaum, Alexander Berengolts
A Probabilistic Interpretation of the Saliency Network. ECCV (2) (2000)
Avraham Levy, Michael Lindenbaum
Sequential Karhunen-Loeve basis extraction and its application to images. IEEE Trans. Image Process. 9 (8) (2000)
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
MAC Versus PC: Determinism and Randomness as Complementary Approaches to Robotic Exploration of Continuous Unknown Domains. Int. J. Robotics Res. 19 (1) (2000)
Ilan Shimshoni, Yael Moses, Michael Lindenbaum
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces. Int. J. Comput. Vis. 39 (2) (2000)
Keisuke Kinoshita, Michael Lindenbaum
Robotic Control with Partial Visual Information. Int. J. Comput. Vis. 37 (1) (2000)
Ilan Shimshoni, Michael Lindenbaum, Yael Moses
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces. ICIAP (1999)
Michael Lindenbaum, Shai Ben-David
VC-Dimension Analysis of Object Recognition Tasks. J. Math. Imaging Vis. 10 (1) (1999)
Arnon Amir, Michael Lindenbaum
Ground from Figure Discrimination. Comput. Vis. Image Underst. 76 (1) (1999)
Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov
Selective Sampling for Nearest Neighbor Classifiers. AAAI/IAAI (1999)
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
Distributed covering by ant-robots using evaporating traces. IEEE Trans. Robotics Autom. 15 (5) (1999)
Michael Hoffman, Michael Lindenbaum
Some trade-offs and a new algorithm for geometric hashing. ICPR (1998)
Milena Salman, Michael Lindenbaum
A layered representation for model-based filtering and recognition. ICPR (1998)
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
Robotic Exploration, Brownian Motion and Electrical Resistance. RANDOM (1998)
Arnon Amir, Michael Lindenbaum
A Generic Grouping Algorithm and Its Quantitative Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20 (2) (1998)
Keisuke Kinoshita, Michael Lindenbaum
Robotic Control with Partial Visual Information. ICCV (1998)
Arnon Amir, Michael Lindenbaum
Ground from Figure Discrimination. CVPR (1998)
Arnon Amir, Michael Lindenbaum
Grouping-Based Nonadditive Verification. IEEE Trans. Pattern Anal. Mach. Intell. 20 (2) (1998)
Shai Ben-David, Michael Lindenbaum
Localization vs. Identification of Semi-Algebraic Sets. Mach. Learn. 32 (3) (1998)
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
Efficiently Searching a Graph by a Smell-Oriented Vertex Process. Ann. Math. Artif. Intell. 24 (1-4) (1998)
Avraham Levy, Michael Lindenbaum
Sequential Karhunen-Loeve Basis Extraction and its Application to Images. ICIP (2) (1998)
Shai Ben-David, Michael Lindenbaum
Learning Distributions by Their Density Levels: A Paradigm for Learning without a Teacher. J. Comput. Syst. Sci. 55 (1) (1997)
Michael Lindenbaum
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 19 (11) (1997)
Yuval Eldar, Michael Lindenbaum, Moshe Porat, Yehoshua Y. Zeevi
The farthest point strategy for progressive image sampling. IEEE Trans. Image Process. 6 (9) (1997)
Anna Rudshtein, Michael Lindenbaum
Quantifying the reliability of feature-based object recognition. ICPR (1996)
Arnon Amir, Michael Lindenbaum
Quantitative Analysis of Grouping Processes. ECCV (1) (1996)
Craig Gotsman, Michael Lindenbaum
On the metric properties of discrete space-filling curves. IEEE Trans. Image Process. 5 (5) (1996)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Lindenbaum