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K. Chaudhury

59 papers hereh-index 262.2k citations114 works total

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

author position
  • sole author6
  • first author16
  • middle author2
  • last author35

Across the 59 of 59 papers where every author was matched, so the position is known.

fields
  • cs.CV26
  • eess.IV14
  • cs.IT6
  • math.OC6
  • cs.NI2
  • cs.DC1
same name
  • K. Chaudhury — 4 papers, h 10
  • K. Chaudhury — 2 papers, h 7
  • K. Chaudhury — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092026
most citedFast Adaptive Bilateral Filtering

167 citations · 962 across the 54 of their papers we have counts for

collaborators
Showing 2013Show all

4 papers · 1 filter

cs.NI2013★ 10 cited

Large-Scale Sensor Network Localization via Rigid Subnetwork Registration

Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer

In this paper, we describe an algorithm for sensor network localization (SNL) that proceeds by dividing the whole network into smaller subnetworks, then localizes them in parallel…

cs.CV2013

Global registration of multiple point clouds using semidefinite programming

Kunal N. Chaudhury, Yuehaw Khoo, Amit Singer

Consider N points in Rd and M local coordinate systems that are related through unknown rigid transforms. For each point we are given (possibly noisy) measurements…

cs.CV2013★ 8 cited

On the convergence of the IRLS algorithm in Non-Local Patch Regression

Kunal N. Chaudhury

Recently, it was demonstrated in [CS2012,CS2013] that the robustness of the classical Non-Local Means (NLM) algorithm [BCM2005] can be improved by incorporating $\ell^p (0 < p \leq…

math.CA2013★ 9 cited

Decay properties of Riesz transforms and steerable wavelets

John Paul Ward, Kunal Narayan Chaudhury, Michael Unser

The Riesz transform is a natural multi-dimensional extension of the Hilbert transform, and it has been the object of study for many years due to its nice mathematical properties. M…

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