241 results on '"Michael Lindenbaum"'
Search Results
2. Metric Convolutions: A Unifying Theory to Adaptive Convolutions.
3. From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task.
4. Enhancing Generic Segmentation With Learned Region Representations.
5. On the Minimal Recognizable Image Patch.
6. DPDist: Comparing Point Clouds Using Deep Point Cloud Distance.
7. Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks.
8. Seeing Things in Random-Dot Videos.
9. Assessing hierarchies by their consistent segmentations.
10. Increasing CNN Robustness to Occlusions by Reducing Filter Support.
11. Graph based over-segmentation methods for 3D point clouds.
12. 3DmFV: Three-Dimensional Point Cloud Classification in Real-Time Using Convolutional Neural Networks.
13. Interpreting the Ratio Criterion for Matching SIFT Descriptors.
14. Enhancing Generic Segmentation with Learned Region Representations.
15. Learning Pixel Representations for Generic Segmentation.
16. Local Variation as a Statistical Hypothesis Test.
17. Approximating Hierarchical MV-sets for Hierarchical Clustering.
18. Temporal face embedding and propagation in photo collections.
19. Learning Appearance Transfer for Person Re-identification.
20. Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks.
21. q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions.
22. Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data.
23. Feature shift detection.
24. One-Class Background Model.
25. Learning Implicit Transfer for Person Re-identification.
26. Multiple Region Categorization for Scenery Images.
27. A Segmentation Quality Measure Based on Rich Descriptors and Classification Methods.
28. Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model.
29. 3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks.
30. Inner-Scene Similarities as a Contextual Cue for Object Detection.
31. Graph Based Over-Segmentation Methods for 3D Point Clouds.
32. Boundary ownership by lifting to 2.1D.
33. Nonnegative Matrix Factorization with Earth Mover's Distance metric.
34. Generalised blind sampling of images.
35. Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary.
36. The Analysis of Saliency Processes and its Application to Grouping Cues Design.
37. On the Equivalence of Common Approaches to Lighting Insensitive Recognition.
38. On the Distribution of Saliency.
39. A Probabilistic Framework for Combining Tracking Algorithms.
40. A probabilistic cooperation between trackers of coupled objects.
41. Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity.
42. Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations.
43. Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination.
44. An Information-Based Measure for Grouping Quality.
45. Beyond Independence: An Extension of the A Contrario Decision Procedure.
46. Blind Adaptive Sampling of Images.
47. Camera Model Selection Based on Geometric AIC.
48. A Probabilistic Interpretation of the Saliency Network.
49. Dense Mirroring Surface Recovery from 1D Homographies and Sparse Correspondences.
50. Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis.
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