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researcher

Arif Mahmood

7 papers here

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

author position
  • first author2
  • middle author4
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
  • eess.IV1
  • eess.SP1
ORCID 0000-0001-5986-9876
same name
  • Arif Mahmood — 12 papers, h 19
  • Arif Mahmood — 8 papers, h 3
  • Arif Mahmood — 5 papers, h 2
  • Arif Mahmood — 4 papers, h 3
  • Arif Mahmood — 2 papers, h 2
  • Arif Mahmood — 2 papers, 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

most citedReconstruction of Time-varying Graph Signals via Sobolev Smoothness

63 citations · 80 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2014

Action Classification with Locality-constrained Linear Coding

Hossein Rahmani, Arif Mahmood, Du Huynh +1

We propose an action classification algorithm which uses Locality-constrained Linear Coding (LLC) to capture discriminative information of human body variations in each spatiotempo…

cs.CV2014★ 1 cited

HOPC: Histogram of Oriented Principal Components of 3D Pointclouds for Action Recognition

Hossein Rahmani, Arif Mahmood, Du Q. Huynh +1

Existing techniques for 3D action recognition are sensitive to viewpoint variations because they extract features from depth images which change significantly with viewpoint. In co…

cs.CV2014★ 1 cited

Optimizing Auto-correlation for Fast Target Search in Large Search Space

Arif Mahmood, Ajmal Mian, Robyn Owens

In remote sensing image-blurring is induced by many sources such as atmospheric scatter, optical aberration, spatial and temporal sensor integration. The natural blurring can be ex…

cs.CV2014★ 3 cited

Semi-supervised Spectral Clustering for Classification

Arif Mahmood, Ajmal S. Mian

We propose a Classification Via Clustering (CVC) algorithm which enables existing clustering methods to be efficiently employed in classification problems. In CVC, training and tes…

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