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researcher

Abderrezzaq Sendjasni

CNRS, XLIM UMR 7252

3 papers hereh-index 665 citations23 works total

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.IV1
affiliations
  • CNRS, XLIM UMR 7252

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedEmbedding Similarity Guided License Plate Super Resolution

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

collaborators

3 papers

cs.CV2026

Multi-Feature Fusion Approach for Generative AI Images Detection

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi

The rapid evolution of Generative AI (GenAI) models has led to synthetic images of unprecedented realism, challenging traditional methods for distinguishing them from natural photo…

eess.IV2025★ 1 cited

Embedding Similarity Guided License Plate Super Resolution

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi

Super-resolution (SR) techniques play a pivotal role in enhancing the quality of low-resolution images, particularly for applications such as security and surveillance, where accur…

cs.CV2024

Embedding-Driven Data Distillation for 360-Degree IQA With Residual-Aware Refinement

Abderrezzaq Sendjasni, Seif-Eddine Benkabou, Mohamed-Chaker Larabi

This article identifies and addresses a fundamental bottleneck in data-driven 360-degree image quality assessment (IQA): the lack of intelligent, sample-level data selection. Hence…

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