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researcher

P. Meer

4 papers hereh-index 5335.5k citations164 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20152020
most citedLocal Variation as a Statistical Hypothesis Test

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2020

Are Deep Neural Networks "Robust"?

Peter Meer

Separating outliers from inliers is the definition of robustness in computer vision. This essay delineates how deep neural networks are different than typical robust estimators. De…

cs.CV2017

Scale Adaptive Clustering of Multiple Structures

Xiang Yang, Peter Meer

We propose the segmentation of noisy datasets into Multiple Inlier Structures with a new Robust Estimator (MISRE). The scale of each individual structure is estimated adaptively fr…

cs.CV2016★ 1 cited

Robust Estimation of Multiple Inlier Structures

Xiang Yang, Peter Meer

The robust estimator presented in this paper processes each structure independently. The scales of the structures are estimated adaptively and no threshold is involved in spite of…

cs.CV2015★ 2 cited

Local Variation as a Statistical Hypothesis Test

Michael Baltaxe, Peter Meer, Michael Lindenbaum

The goal of image oversegmentation is to divide an image into several pieces, each of which should ideally be part of an object. One of the simplest and yet most effective oversegm…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.