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M. Hasan

West Virginia University

5 papers hereh-index 332 citations9 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV5
affiliations
  • West Virginia University
Homepage
same name
  • M. Hasan — 25 papers, h 9
  • M. Hasan — 21 papers, h 20
  • M. Hasan — 17 papers, h 6
  • M. Hasan — 11 papers, h 8
  • M. Hasan — 10 papers, h 4
  • M. Hasan — 9 papers, h 9

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 citedContrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation

5 citations · 8 across the 5 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CV2024

CLFace: A Scalable and Resource-Efficient Continual Learning Framework for Lifelong Face Recognition

Md Mahedi Hasan, Shoaib Meraj Sami, Nasser Nasrabadi

An important aspect of deploying face recognition (FR) algorithms in real-world applications is their ability to learn new face identities from a continuous data stream. However, t…

cs.CV2024

MGHF: Multi-Granular High-Frequency Perceptual Loss for Image Super-Resolution

Shoaib Meraj Sami, Md Mahedi Hasan, Mohammad Saeed Ebrahimi Saadabadi +3

While different variants of perceptual losses have been employed in super-resolution literature to synthesize more realistic, appealing, and detailed high-resolution images, most a…

cs.CV2024★ 5 cited

Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation

Shoaib Meraj Sami, Md Mahedi Hasan, Nasser M. Nasrabadi +1

Annotating automatic target recognition (ATR) is a highly challenging task, primarily due to the unavailability of labeled data in the target domain. Hence, it is essential to cons…

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