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Iman Shames

4 papers hereh-index 320 citations5 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CV2
  • math.OC2
same name
  • Iman Shames — 13 papers, h 4
  • Iman Shames — 7 papers, h 2
  • Iman Shames — 6 papers, h 2
  • Iman Shames — 3 papers
  • Iman Shames — 3 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 citedImproving Visual Place Recognition Based Robot Navigation By Verifying Localization Estimates

8 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Adversarial Attacks and Detection in Visual Place Recognition for Safer Robot Navigation

Connor Malone, Owen Claxton, Iman Shames +1

Stand-alone Visual Place Recognition (VPR) systems have little defence against a well-designed adversarial attack, which can lead to disastrous consequences when deployed for robot…

math.OC2025

Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles

Amir Ali Farzin, Yuen-Man Pun, Philipp Braun +1

This paper explores the performance of a random Gaussian smoothing zeroth-order (ZO) scheme for minimising quasar-convex (QC) and strongly quasar-convex (SQC) functions in both unc…

math.OC2024

Online Non-Stationary Stochastic Quasar-Convex Optimization

Yuen-Man Pun, Iman Shames

Recent research has shown that quasar-convexity can be found in applications such as identification of linear dynamical systems and generalized linear models. Such observations hav…

cs.CV2024★ 8 cited

Improving Visual Place Recognition Based Robot Navigation By Verifying Localization Estimates

Owen Claxton, Connor Malone, Helen Carson +4

Visual Place Recognition (VPR) systems often have imperfect performance, affecting the `integrity' of position estimates and subsequent robot navigation decisions. Previously, SVM…

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