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2020 – today
- 2022
[i11]Zeev Gutman, Ritvik Vij, Laurent Najman, Michael Lindenbaum:
Assessing hierarchies by their consistent segmentations. CoRR abs/2204.04969 (2022)- 2020
- [c62]Or Isaacs, Oran Shayer, Michael Lindenbaum:
Enhancing Generic Segmentation With Learned Region Representations. CVPR 2020: 12943-12952 - [c61]Dahlia Urbach
, Yizhak Ben-Shabat, Michael Lindenbaum:
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance. ECCV (11) 2020: 545-560 - [c60]Mark Fonaryov, Michael Lindenbaum:
On the Minimal Recognizable Image Patch. ICPR 2020: 6734-6741 - [i10]Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum:
DPDist : Comparing Point Clouds Using Deep Point Cloud Distance. CoRR abs/2004.11784 (2020) - [i9]Mark Fonaryov, Michael Lindenbaum:
On the Minimal Recognizable Image Patch. CoRR abs/2010.05858 (2020)
2010 – 2019
- 2019
- [c59]Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein:
Seeing Things in Random-Dot Videos. ACPR (1) 2019: 195-208 - [c58]Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer:
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks. CVPR 2019: 10112-10120 - [i8]Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein:
Seeing Things in Random-Dot Videos. CoRR abs/1907.12195 (2019) - [i7]Oran Shayer, Michael Lindenbaum:
Learning Pixel Representations for Generic Segmentation. CoRR abs/1909.11735 (2019) - [i6]Or Isaacs, Oran Shayer, Michael Lindenbaum:
Enhancing Generic Segmentation with Learned Region Representations. CoRR abs/1911.08564 (2019) - 2018
- [j55]Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum, Anath Fischer:
Graph based over-segmentation methods for 3D point clouds. Comput. Vis. Image Underst. 174: 12-23 (2018) - [j54]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): 3145-3152 (2018) - [i5]Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer:
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks. CoRR abs/1812.00709 (2018) - 2017
- [c57]Elad Osherov, Michael Lindenbaum:
Increasing CNN Robustness to Occlusions by Reducing Filter Support. ICCV 2017: 550-561 - [i4]Yizhak Ben-Shabat, Tamar Avraham, Michael Lindenbaum, Anath Fischer:
Graph Based Over-Segmentation Methods for 3D Point Clouds. CoRR abs/1702.04114 (2017) - [i3]Noa Arbel, Tamar Avraham, Michael Lindenbaum:
Inner-Scene Similarities as a Contextual Cue for Object Detection. CoRR abs/1707.04406 (2017) - [i2]Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer:
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks. CoRR abs/1711.08241 (2017) - 2016
- [j53]Michael Baltaxe, Peter Meer, Michael Lindenbaum:
Local Variation as a Statistical Hypothesis Test. Int. J. Comput. Vis. 117(2): 131-141 (2016) - [c56]Avi Kaplan, Tamar Avraham, Michael Lindenbaum:
Interpreting the Ratio Criterion for Matching SIFT Descriptors. ECCV (5) 2016: 697-712 - 2015
- [i1]Michael Baltaxe, Peter Meer, Michael Lindenbaum:
Local Variation as a Statistical Hypothesis Test. CoRR abs/1504.06507 (2015) - 2014
- [j52]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): 620-621 (2014) - [c55]Markus Brenner, Tamar Avraham, Michael Lindenbaum, Ebroul Izquierdo:
Temporal face embedding and propagation in photo collections. ICIP 2014: 6036-6040 - [c54]Assaf Glazer, Omer Weissbrod, Michael Lindenbaum, Shaul Markovitch:
Approximating Hierarchical MV-sets for Hierarchical Clustering. NIPS 2014: 999-1007 - [p1]Tamar Avraham, Michael Lindenbaum:
Learning Appearance Transfer for Person Re-identification. Person Re-Identification 2014: 231-246 - 2013
- [j51]Artiom Myaskouvskey, Yann Gousseau, Michael Lindenbaum:
Beyond Independence: An Extension of the A Contrario Decision Procedure. Int. J. Comput. Vis. 101(1): 22-44 (2013) - [c53]Yulia Brand, Tamar Avraham, Michael Lindenbaum:
Transitive Re-identification. BMVC 2013 - [c52]Assaf Glazer, Michael Lindenbaum, Shaul Markovitch:
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions. NIPS 2013: 503-511 - 2012
- [j50]Zvi Devir, Michael Lindenbaum:
Blind Adaptive Sampling of Images. IEEE Trans. Image Process. 21(4): 1478-1487 (2012) - [c51]Assaf Glazer, Michael Lindenbaum, Shaul Markovitch:
One-Class Background Model. ACCV Workshops (1) 2012: 301-307 - [c50]Tamar Avraham, Ilya Gurvich, Michael Lindenbaum, Shaul Markovitch:
Learning Implicit Transfer for Person Re-identification. ECCV Workshops (1) 2012: 381-390 - [c49]Assaf Glazer, Michael Lindenbaum, Shaul Markovitch:
Feature shift detection. ICPR 2012: 1383-1386 - [c48]Assaf Glazer, Michael Lindenbaum, Shaul Markovitch:
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data. NIPS 2012: 737-745 - 2011
- [j49]Stas Rozenfeld, Ilan Shimshoni, Michael Lindenbaum:
Dense Mirroring Surface Recovery from 1D Homographies and Sparse Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 33(2): 325-337 (2011) - [j48]Roman Sandler, Michael Lindenbaum:
Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1590-1602 (2011) - [c47]Tamar Avraham, Ilya Gurvich, Michael Lindenbaum:
Multiple Region Categorization for Scenery Images. ICIAP (1) 2011: 38-47 - [c46]David Peles, Michael Lindenbaum:
A Segmentation Quality Measure Based on Rich Descriptors and Classification Methods. SSVM 2011: 398-410 - 2010
- [j47]Ido Leichter, Michael Lindenbaum, Ehud Rivlin:
Mean Shift tracking with multiple reference color histograms. Comput. Vis. Image Underst. 114(3): 400-408 (2010) - [j46]Tamar Avraham, Michael Lindenbaum:
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 32(4): 693-708 (2010) - [c45]Tamar Avraham, Michael Lindenbaum:
Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model. ECCV (5) 2010: 99-112
2000 – 2009
- 2009
- [j45]Roman Sandler, Michael Lindenbaum:
Optimizing Gabor Filter Design for Texture Edge Detection and Classification. Int. J. Comput. Vis. 84(3): 308-324 (2009) - [j44]Ido Leichter, Michael Lindenbaum, Ehud Rivlin:
Tracking by Affine Kernel Transformations Using Color and Boundary Cues. IEEE Trans. Pattern Anal. Mach. Intell. 31(1): 164-171 (2009) - [c44]Roman Sandler, Michael Lindenbaum:
Nonnegative Matrix Factorization with Earth Mover's Distance metric. CVPR 2009: 1873-1880 - [c43]Ido Leichter, Michael Lindenbaum:
Boundary ownership by lifting to 2.1D. ICCV 2009: 9-16 - 2008
- [j43]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): 1572-1588 (2008) - [c42]Roman Sandler, Michael Lindenbaum:
Unsupervised estimation of segmentation quality using nonnegative factorization. CVPR 2008 - [c41]Zvi Devir, Michael Lindenbaum:
Generalised blind sampling of images. ICIP 2008: 2904-2907 - 2007
- [j42]Zvi Devir, Michael Lindenbaum:
Adaptive Range Sampling Using a Stochastic Model. J. Comput. Inf. Sci. Eng. 7(1): 20-25 (2007) - [j41]Margarita Osadchy, David W. Jacobs, Michael Lindenbaum:
Surface Dependent Representations for Illumination Insensitive Image Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 98-111 (2007) - [c40]Roman Golubchyck, Michael Lindenbaum:
The Analysis of Saliency Processes and its Application to Grouping Cues Design. CBMI 2007: 18-24 - [c39]Stas Rozenfeld, Ilan Shimshoni, Michael Lindenbaum:
Dense mirroring surface recovery from 1D homographies and sparse correspondences. CVPR 2007 - [c38]Ido Leichter, Michael Lindenbaum, Ehud Rivlin:
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary. ICCV 2007: 1-6 - 2006
- [j40]Ido Leichter, Michael Lindenbaum, Ehud Rivlin:
A General Framework for Combining Visual Trackers - The "Black Boxes" Approach. Int. J. Comput. Vis. 67(3): 343-363 (2006) - [j39]Tamar Avraham, Michael Lindenbaum:
Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 251-264 (2006) - [j38]Alexander Berengolts, Michael Lindenbaum:
On the Distribution of Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 28(12): 1973-1990 (2006) - [c37]Roman Sandler, Michael Lindenbaum:
Gabor Filter Analysis for Texture Segmentation. CVPR Workshops 2006: 178 - 2005
- [j37]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): 22-58 (2005) - [c36]Margarita Osadchy, David W. Jacobs, Michael Lindenbaum:
On the Equivalence of Common Approaches to Lighting Insensitive Recognition. ICCV 2005: 1721-1726 - 2004
- [j36]Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov:
Selective Sampling for Nearest Neighbor Classifiers. Mach. Learn. 54(2): 125-152 (2004) - [c35]Ido Leichter, Michael Lindenbaum, Ehud Rivlin:
A Probabilistic Framework for Combining Tracking Algorithms. CVPR (2) 2004: 445-451 - [c34]Alexander Berengolts, Michael Lindenbaum:
On the Distribution of Saliency. CVPR (2) 2004: 543-549 - [c33]Tamar Avraham, Michael Lindenbaum:
Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations. ECCV (2) 2004: 58-70 - [c32]Margarita Osadchy, Michael Lindenbaum, David W. Jacobs:
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination. ECCV (4) 2004: 217-228 - [c31]Erik A. Engbers, Michael Lindenbaum, Arnold W. M. Smeulders:
An Information-Based Measure for Grouping Quality. ECCV (3) 2004: 392-404 - [c30]Ido Leichter, Michael Lindenbaum, Ehud Rivlin:
A probabilistic cooperation between trackers of coupled objects. ICIP 2004: 1045-1048 - [c29]Tamar Avraham, Michael Lindenbaum:
Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity. WAPCV 2004: 16-28 - 2003
- [j35]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): 385-386 (2003) - [j34]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): 641 (2003) - 2001
- [j33]Alexander Berengolts, Michael Lindenbaum:
On the Performance of Connected Components Grouping. Int. J. Comput. Vis. 41(3): 195-216 (2001) - [c28]Avraham Levy, Michael Lindenbaum:
Efficient Sequential Karhunen-Loeve Basis Extraction. ICCV 2001: 739 - 2000
- [j32]Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein:
ANTS: Agents on Networks, Trees, and Subgraphs. Future Gener. Comput. Syst. 16(8): 915-926 (2000) - [j31]Keisuke Kinoshita, Michael Lindenbaum:
Robotic Control with Partial Visual Information. Int. J. Comput. Vis. 37(1): 65-78 (2000) - [j30]Ilan Shimshoni, Yael Moses, Michael Lindenbaum:
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces. Int. J. Comput. Vis. 39(2): 97-110 (2000) - [j29]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): 12-31 (2000) - [j28]Avraham Levy, Michael Lindenbaum:
Sequential Karhunen-Loeve basis extraction and its application to images. IEEE Trans. Image Process. 9(8): 1371-1374 (2000) - [c27]Keisuke Kinoshita, Michael Lindenbaum:
Camera Model Selection Based on Geometric AIC. CVPR 2000: 2514-2519 - [c26]Michael Lindenbaum, Alexander Berengolts:
A Probabilistic Interpretation of the Saliency Network. ECCV (2) 2000: 257-272
1990 – 1999
- 1999
- [j27]Arnon Amir, Michael Lindenbaum:
Ground from Figure Discrimination. Comput. Vis. Image Underst. 76(1): 7-18 (1999) - [j26]Michael Lindenbaum, Shai Ben-David:
VC-Dimension Analysis of Object Recognition Tasks. J. Math. Imaging Vis. 10(1): 27-49 (1999) - [j25]Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein:
Distributed covering by ant-robots using evaporating traces. IEEE Trans. Robotics Autom. 15(5): 918-933 (1999) - [c25]Michael Lindenbaum, Shaul Markovitch, Dmitry Rusakov:
Selective Sampling for Nearest Neighbor Classifiers. AAAI/IAAI 1999: 366-371 - [c24]Ilan Shimshoni, Michael Lindenbaum, Yael Moses:
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces. ICIAP 1999: 76-83 - 1998
- [j24]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): 211-223 (1998) - [j23]Shai Ben-David, Michael Lindenbaum:
Localization vs. Identification of Semi-Algebraic Sets. Mach. Learn. 32(3): 207-224 (1998) - [j22]Arnon Amir, Michael Lindenbaum:
A Generic Grouping Algorithm and Its Quantitative Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20(2): 168-185 (1998) - [j21]Arnon Amir, Michael Lindenbaum:
Grouping-Based Nonadditive Verification. IEEE Trans. Pattern Anal. Mach. Intell. 20(2): 186-192 (1998) - [c23]Arnon Amir, Michael Lindenbaum:
Ground from Figure Discrimination. CVPR 1998: 521-527 - [c22]Keisuke Kinoshita, Michael Lindenbaum:
Robotic Control with Partial Visual Information. ICCV 1998: 883-888 - [c21]Avraham Levy, Michael Lindenbaum:
Sequential Karhunen-Loeve Basis Extraction and its Application to Images. ICIP (2) 1998: 456-460 - [c20]Milena Salman, Michael Lindenbaum:
A layered representation for model-based filtering and recognition. ICPR 1998: 643-647 - [c19]Michael Hoffman, Michael Lindenbaum:
Some trade-offs and a new algorithm for geometric hashing. ICPR 1998: 1700-1704 - [c18]Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein:
Robotic Exploration, Brownian Motion and Electrical Resistance. RANDOM 1998: 116-130 - 1997
- [j20]Shai Ben-David, Michael Lindenbaum:
Learning Distributions by Their Density Levels: A Paradigm for Learning without a Teacher. J. Comput. Syst. Sci. 55(1): 171-182 (1997) - [j19]Michael Lindenbaum:
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 19(11): 1251-1264 (1997) - [j18]Yuval Eldar, Michael Lindenbaum, Moshe Porat, Yehoshua Y. Zeevi:
The farthest point strategy for progressive image sampling. IEEE Trans. Image Process. 6(9): 1305-1315 (1997) - 1996
- [j17]Craig Gotsman, Michael Lindenbaum:
On the metric properties of discrete space-filling curves. IEEE Trans. Image Process. 5(5): 794-797 (1996) - [c17]Arnon Amir, Michael Lindenbaum:
Quantitative Analysis of Grouping Processes. ECCV (1) 1996: 371-384 - [c16]Michael Lindenbaum, Yehoshua Y. Zeevi:
Education in image sciences and engineering at the Technion. ICIP (1) 1996: 447-448 - [c15]Anna Rudshtein, Michael Lindenbaum:
Quantifying the reliability of feature-based object recognition. ICPR 1996: 35-39 - [c14]Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein:
Smell as a Computational Resource - A Lesson We Can Learn from the Ant. ISTCS 1996: 219-230 - 1995
- [j16]Michael Lindenbaum:
Bounds on Shape Recognition Performance. IEEE Trans. Pattern Anal. Mach. Intell. 17(7): 666-680 (1995) - [j15]Craig Gotsman, Michael Lindenbaum:
Euclidean Voronoi labelling on the multidimensional grid. Pattern Recognit. Lett. 16(4): 409-415 (1995) - [j14]W. Murase, Michael Lindenbaum:
Partial eigenvalue decomposition of large images using spatial temporal adaptive method. IEEE Trans. Image Process. 4(5): 620-629 (1995) - [c13]Michael Lindenbaum:
An Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition. ACCV 1995: 457-466 - [c12]Shai Ben-David, Michael Lindenbaum:
Learning distributions by their density-levels - a paradigm for learning without a teacher. EuroCOLT 1995: 53-68 - 1994
- [j13]Nir Katzir, Michael Lindenbaum, Moshe Porat:
Curve Segmentation Under Partial Occlusion. IEEE Trans. Pattern Anal. Mach. Intell. 16(5): 513-519 (1994) - [j12]Michael Lindenbaum, M. Fischer, Alfred M. Bruckstein:
On Gabor's contribution to image enhancement. Pattern Recognit. 27(1): 1-8 (1994) - [j11]Michael Lindenbaum, Alfred M. Bruckstein:
Blind approximation of planar convex sets. IEEE Trans. Robotics Autom. 10(4): 517-529 (1994) - [c11]Michael Lindenbaum, Shai Ben-David:
Applying VC-Dimension Analysis To 3D Object Recognition from Perspective Projections. AAAI 1994: 985-990 - [c10]Michael Lindenbaum, Shai Ben-David:
Applying VC-dimension Analysis To Object Recognition. ECCV (1) 1994: 239-250 - [c9]Yuval Eldar, Michael Lindenbaum, Moshe Porat, Yehoshua Y. Zeevi:
The farthest point strategy for progressive image sampling. ICPR (3) 1994: 93-97 - [c8]Craig Gotsman, Michael Lindenbaum:
On the metric properties of discrete space-filling curves. ICPR (3) 1994: 98-102 - [c7]Michael Lindenbaum:
On the amount of data required for reliable recognition. ICPR (1) 1994: 726-729 - 1993
- [j10]Michael Lindenbaum, Alfred M. Bruckstein:
On Recursive, O(N) Partitioning of a Digitized Curve into Digital Straight Segments. IEEE Trans. Pattern Anal. Mach. Intell. 15(9): 949-953 (1993) - [c6]Shai Ben-David, Michael Lindenbaum:
Localization vs. Identification of Semi-Algebraic Sets. COLT 1993: 327-336 - 1992
- [j9]Alfred M. Bruckstein, Nir Katzir, Michael Lindenbaum, Moshe Porat:
Similarity-invariant signatures for partially occluded planar shapes. Int. J. Comput. Vis. 7(3): 271-285 (1992) - [j8]Michael Lindenbaum, Alfred M. Bruckstein:
Parallel Strategies for Geometric Probing. J. Algorithms 13(2): 320-349 (1992) - 1991
- [j7]Alfred M. Bruckstein, Michael Lindenbaum:
Reconstruction of polygonal sets by constrained and unconstrained double probing. Ann. Math. Artif. Intell. 4: 345-361 (1991) - [j6]Michael Lindenbaum, Jack Koplowitz:
A New Parameterization of Digital Straight Lines. IEEE Trans. Pattern Anal. Mach. Intell. 13(8): 847-852 (1991) - [j5]Nahum Kiryati, Michael Lindenbaum, Alfred M. Bruckstein:
Digital or analog Hough transform? Pattern Recognit. Lett. 12(5): 291-297 (1991) - [c5]Michael Lindenbaum, Alfred M. Bruckstein:
Parallel strategies for geometric probing. ICRA 1991: 392-397 - 1990
- [j4]Michael Lindenbaum, Alfred M. Bruckstein:
Reconstructing a convex polygon from binary perspective projections. Pattern Recognit. 23(12): 1343-1350 (1990) - [j3]