◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Hamzah Luqman

4 papers here

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV3
  • cs.CL1
ORCID 0000-0001-7944-5093
same name
  • Hamzah Luqman — 2 papers

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
20232025
most citedFSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images

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

collaborators

4 papers

cs.CV2025

Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition

Sarah Alyami, Hamzah Luqman, Sadam Al-Azani +3

Current benchmarks for sign language recognition (SLR) focus mainly on isolated SLR, while there are limited datasets for continuous SLR (CSLR), which recognizes sequences of signs…

cs.CL2025★ 1 cited

Multi-task Learning with Active Learning for Arabic Offensive Speech Detection

Aisha Alansari, Hamzah Luqman

The rapid growth of social media has amplified the spread of offensive, violent, and vulgar speech, which poses serious societal and cybersecurity concerns. Detecting such content…

cs.CV2024★ 1 cited

FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images

Ahmed Abul Hasanaath, Hamzah Luqman, Raed Katib +1

Advances in deepfake research have led to the creation of almost perfect manipulations undetectable by human eyes and some deepfakes detection tools. Recently, several techniques h…

cs.CV2023

Recursions Are All You Need: Towards Efficient Deep Unfolding Networks

Rawwad Alhejaili, Motaz Alfarraj, Hamzah Luqman +1

The use of deep unfolding networks in compressive sensing (CS) has seen wide success as they provide both simplicity and interpretability. However, since most deep unfolding networ…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.