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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

5 papers

cs.CV2025★ 2 cited

FDCT: Frequency-Aware Decomposition and Cross-Modal Token-Alignment for Multi-Sensor Target Classification

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

In automatic target recognition (ATR) systems, sensors may fail to capture discriminative, fine-grained detail features due to environmental conditions, noise created by CMOS chips…

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…

cs.CV2023★ 1 cited

Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning

Md Mahedi Hasan, Shoaib Meraj Sami, Nasser Nasrabadi

State-of-the-art face recognition (FR) models often experience a significant performance drop when dealing with facial images in surveillance scenarios where images are in low qual…