Michael Lindenbaum | DeepAI

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Featured Co-authors

Alfred M. Bruckstein
35 publications
Laurent Najman
21 publications
Yizhak Ben-Shabat
12 publications
Thomas Dagès
5 publications
Peter Meer
4 publications
Oran Shayer
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Anath Fischer
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Tamar Avraham
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Ritvik Vij
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Michael Baltaxe
2 publications
Noa Arbel
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∙ 03/12/2023

From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task

Neural networks are omnipresent, but remain poorly understood. Their inc...

0 Thomas Dagès, et al. ∙

∙ 04/11/2022

Assessing hierarchies by their consistent segmentations

Recent segmentation approaches start by creating a hierarchy of nested i...

0 Zeev Gutman, et al. ∙

∙ 10/12/2020

On the Minimal Recognizable Image Patch

In contrast to human vision, common recognition algorithms often fail on...

0 Mark Fonaryov, et al. ∙

∙ 04/24/2020

DPDist : Comparing Point Clouds Using Deep Point Cloud Distance

We introduce a new deep learning method for point cloud comparison. Our ...

0 Dahlia Urbach, et al. ∙

∙ 11/17/2019

Enhancing Generic Segmentation with Learned Region Representations

Current successful approaches for generic (non-semantic) segmentation re...

27 Or Isaacs, et al. ∙

∙ 09/25/2019

Learning Pixel Representations for Generic Segmentation

Deep learning approaches to generic (non-semantic) segmentation have so ...

41 Oran Shayer, et al. ∙

∙ 07/29/2019

Seeing Things in Random-Dot Videos

The human visual system correctly groups features and interprets videos ...

4 Thomas Dagès, et al. ∙

∙ 12/03/2018

Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks

In this paper, we propose a normal estimation method for unstructured 3D...

0 Yizhak Ben-Shabat, et al. ∙

∙ 11/22/2017

3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks

The point cloud is gaining prominence as a method for representing 3D sh...

0 Yizhak Ben-Shabat, et al. ∙

∙ 07/14/2017

Inner-Scene Similarities as a Contextual Cue for Object Detection

Using image context is an effective approach for improving object detect...

0 Noa Arbel, et al. ∙

∙ 04/24/2015

Local Variation as a Statistical Hypothesis Test

The goal of image oversegmentation is to divide an image into several pi...

0 Michael Baltaxe, et al. ∙

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