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M. Islam

23 papers hereh-index 355.9k citations139 works total

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

author position
  • sole author2
  • first author8
  • middle author10
  • last author2

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.RO9
  • cs.CV8
  • cs.CR3
  • eess.IV2
  • cs.NI1
same name
  • M. Islam — 18 papers, h 30
  • M. Islam — 14 papers, h 15
  • M. Islam — 12 papers, h 24
  • M. Islam — 11 papers, h 25
  • M. Islam — 11 papers, h 7
  • M. Islam — 9 papers, h 22

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
20172023
most citedDistB-Condo: Distributed Blockchain-based IoT-SDN Model for Smart Condominium

64 citations · 138 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.RO2019

Machine Vision for Improved Human-Robot Cooperation in Adverse Underwater Conditions

Md Jahidul Islam

Visually-guided underwater robots are deployed alongside human divers for cooperative exploration, inspection, and monitoring tasks in numerous shallow-water and coastal-water appl…

eess.IV2019

Underwater Image Super-Resolution using Deep Residual Multipliers

Md Jahidul Islam, Sadman Sakib Enan, Peigen Luo +1

We present a deep residual network-based generative model for single image super-resolution (SISR) of underwater imagery for use by autonomous underwater robots. We also provide an…

cs.CV2019

Fast Underwater Image Enhancement for Improved Visual Perception

Md Jahidul Islam, Youya Xia, Junaed Sattar

In this paper, we present a conditional generative adversarial network-based model for real-time underwater image enhancement. To supervise the adversarial training, we formulate a…

cs.RO2019

Robot-to-Robot Relative Pose Estimation using Humans as Markers

Md Jahidul Islam, Jiawei Mo, Junaed Sattar

In this paper, we propose a method to determine the 3D relative pose of pairs of communicating robots by using human pose-based key-points as correspondences. We adopt a 'leader-fo…

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